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@ -1,411 +1 @@
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# ClickBench: a Benchmark For Analytical Databases
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## Overview
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This benchmark represents typical workload in the following areas: click stream and traffic analysis, web analytics, machine-generated data, structured logs, and events data. It covers the typical queries in ad-hoc analytics and real-time dashboards.
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The dataset from this benchmark was obtained from the actual traffic recording of one of the world's largest web analytics platforms. It is anonymized while keeping all the essential distributions of the data. The set of queries was improvised to reflect the realistic workloads, while the queries are not directly from production.
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## Goals
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The main goals of this benchmark are:
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### Reproducibility
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||||
You can quickly reproduce every test in as little as 20 minutes (those some systems may take several hours) in a semi-automated way. The test setup is documented and uses inexpensive cloud VMs. The test process is documented in the form of a shell script, covering the installation of every system, loading of the data, running the workload, and collecting the result numbers. The dataset is published and made available for download in multiple formats.
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### Compatibility
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|
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The tables and queries use mostly standard SQL and require minimum or no adaptation for most SQL DBMS. The dataset has been filtered to avoid difficulties with parsing and loading.
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### Diversity
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The benchmark process is easy enough to cover a wide range of systems. It includes: modern and historical self-managed OLAP DBMS; traditional OLTP DBMS are included for comparison baseline; managed database-as-a-service offerings are included, as well as serverless cloud-native databases; some NoSQL, document, and specialized time-series databases are included as well for a reference, even if they should not be comparable on the same workload.
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### Realism
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The dataset is derived from accurate production data. The realistic data distributions allow to correctly account for compression, indices, codecs, custom data structures, etc. which is not possible with most of the random dataset generators. The workload consists of 43 queries and can test the efficiency of full scan and filtered scan, as well as index lookups, and main relational operations. It can test various aspects of hardware as well: some queries require high storage throughput; some queries benefit from a large number of CPU cores and some benefit from single-core speed; some queries benefit from high main memory bandwidth.
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## Limitations
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||||
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||||
The limitations of this benchmark allow keeping it easy to reproduce and to include more systems in the comparison. The benchmark represents only a subset of all possible workloads and scenarios. While it aims to be as fair as possible, the focus on a specific subset of workloads may give an advantage to the systems specialized in that workloads.
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The following limitations should be acknowledged:
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1. The dataset is represented by one flat table. This is not representative of classical data warehouses which are using a normalized star or snowflake data model. The systems for classical data warehouses may get an unfair disadvantage on this benchmark.
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2. The table consists of exactly 99 997 497 records. This is rather small by modern standards but allows to perform tests in a reasonable time.
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3. While this benchmark allows testing distributed systems, and it includes multi-node and serverless cloud-native setups, most of the results so far have been obtained on a single node setup.
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4. The benchmark runs queries one after another and does not test a workload with concurrent requests; neither does it test for system capacity. Every query is run only a few times and this allows some variability in the results.
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6. Many setups and systems are different enough to make direct comparison tricky. It is not possible to test the efficiency of storage used for in-memory databases, or the time of data loading for stateless query engines. The goal of the benchmark is to give the numbers for comparison and let you derive the conclusions on your own.
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TLDR: *All Benchmarks Are ~~Bastards~~ Liars*.
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## Rules and Contribution
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||||
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### How To Add a New Result
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To introduce a new system, simply copy-paste one of the directories and edit the files accordingly:
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- `benchmark.sh`: this is the main script to run the benchmark on a fresh VM; Ubuntu 22.04 or newer should be used by default, or any other system if specified in the comments. The script is not necessarily can be run in a fully automated manner - it is recommended always to copy-paste the commands one by one and observe the results. For managed databases, if the setup requires clicking in the UI, write a `README.md` instead.
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- `README.md`: contains comments and observations if needed. For managed databases, it can describe the setup procedure instead of a shell script.
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- `create.sql`: a CREATE TABLE statement. If it's a NoSQL system, another file like `wtf.json` can be presented.
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- `queries.sql`: contains 43 queries to run;
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- `run.sh`: a loop of running the queries; every query is run three times; if it's a database with local on-disk storage, the first query should be run after dropping the page cache;
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- `results`: put the .json files with the results for every hardware configuration there.
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To introduce a new result for the existing system on different hardware configurations, add a new file to `results`.
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To introduce a new result for an existing system with a different usage scenario, either copy the whole directory and name it differently (e.g. `timescaledb`, `timescaledb-compression`) or add a new file to the `results` directory.
|
||||
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||||
### Installation And Fine-Tuning
|
||||
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||||
The systems can be installed or used in any reasonable way: from a binary distribution, from a Docker container, from the package manager, or compiled - whatever is more natural and simple or gives better results.
|
||||
|
||||
It's better to use the default settings and avoid fine-tuning. Configuration changes can be applied if it is considered strictly necessary and documented.
|
||||
|
||||
Fine-tuning and optimization for the benchmark are not recommended but allowed. In this case, add the results on vanilla configuration and fine-tuned configuration separately.
|
||||
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||||
### Data Loading
|
||||
|
||||
The dataset is available in `CSV`, `TSV`, `JSONlines` and `Parquet` formats by the following links:
|
||||
|
||||
- https://datasets.clickhouse.com/hits_compatible/hits.csv.gz
|
||||
- https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz
|
||||
- https://datasets.clickhouse.com/hits_compatible/hits.json.gz
|
||||
- https://datasets.clickhouse.com/hits_compatible/hits.parquet
|
||||
|
||||
The format of the source data can be selected up to convenience.
|
||||
|
||||
Additional sources for stateless table engines are provided:
|
||||
- https://datasets.clickhouse.com/hits_compatible/athena/hits.parquet (the same parquet file in its own subdirectory)
|
||||
- https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hits_{0..99}.parquet (100 files)
|
||||
|
||||
To correctly compare the insertion time, the dataset should be downloaded and decompressed before loading (if it's using external compression; the parquet file includes internal compression and can be loaded as is). The dataset should be loaded as a single file in the most straightforward way. Splitting the dataset for parallel loading is not recommended, as it will make comparisons more difficult. Splitting the dataset is possible if the system cannot eat it as a whole due to its limitations.
|
||||
|
||||
You should not wait for cool down after data loading or running OPTIMIZE / VACUUM before the main benchmark queries unless it is strictly required for the system.
|
||||
|
||||
The used storage size can be measured without accounting for temporary data if there is temporary data that will be removed in the background. The built-in introspection capabilities can be used to measure the storage size, or it can be measured by checking the used space in the filesystem.
|
||||
|
||||
### Indexing
|
||||
|
||||
The benchmark table has one index - the primary key. The primary key is not necessary to be unique. The index of the primary key can be made clustered (ordered, partitioned, sharded).
|
||||
|
||||
Manual creation of other indices is not recommended, although if the system creates indexes automatically, it is considered ok.
|
||||
|
||||
### Preaggregation
|
||||
|
||||
The creation of pre-aggregated tables or indices, projections, or materialized views is not recommended for the purpose of this benchmark. Although you can add results on fine-tuned setup for reference, they will be out of competition.
|
||||
|
||||
If a system is of a "multidimensional OLAP" kind, so always or implicitly doing aggregations, it can be added for comparison.
|
||||
|
||||
### Caching
|
||||
|
||||
If the system contains a cache for query results, it should be disabled.
|
||||
|
||||
It is okay if the system performs caching for source data (buffer pools and similar). If the cache or buffer pools can be flushed, it should be flushed before the first run of every query.
|
||||
|
||||
If the system contains a cache for intermediate data, it should be disabled if this cache is located near the end of the query execution pipeline, thus similar to a query result cache.
|
||||
|
||||
### Incomplete Results
|
||||
|
||||
Many systems cannot run the full benchmark suite successfully due to OOMs, crashes, or unsupported queries. The partial results should be included nevertheless. Put `null` for the missing numbers.
|
||||
|
||||
### If The Results Cannot Be Published
|
||||
|
||||
Some vendors don't allow publishing the benchmark results due to the infamous [DeWitt Clause](https://cube.dev/blog/dewitt-clause-or-can-you-benchmark-a-database). Most of them are still allowed to use the system for benchmarks. In this case, please submit the full information about installation and reproduction, but without the `results` directory. A `.gitignore` file can be added to prevent accidental publishing.
|
||||
|
||||
We allow both open-source and proprietary systems in our benchmark, as well as managed services, even if registration, credit card, or salesperson call is required - you still can submit the testing description if you don't violate the TOS.
|
||||
|
||||
Please let us know if some results were published by mistake by opening an issue on GitHub.
|
||||
|
||||
### If a Mistake Or Misrepresentation Is Found
|
||||
|
||||
It is easy to accidentally misrepresent some systems. While acting in a good faith, the authors admit their lack of deep knowledge of most systems. Please send a pull request to correct the mistakes.
|
||||
|
||||
### Results Usage And Scoreboards
|
||||
|
||||
The results can be used for comparison of various systems, but always take them with a grain of salt due to the vast amount of caveats and hidden details. Always reference the original benchmark and this text.
|
||||
|
||||
We allow but do not recommend creating scoreboards from this benchmark or tell that one system is better (faster, cheaper, etc) than another.
|
||||
|
||||
There is a web page to navigate across benchmark results and present a summary report. It allows to filter out some systems, setups, or queries. E.g. if you found some subset of the 43 queries irrelevant, you can simply exclude them from the calculation and share the report without these queries.
|
||||
|
||||
You can select the summary metric from one of the following: "Cold Run", "Hot Run", "Load Time", and "Data Size". If you select the "Load Time" or "Data Size", the entries will be simply ordered from best to worst, and additionally, the ratio to the best non-zero result will be shown (how times one system is worse than the best system in this metric). Load time can be zero for stateless query engines like `clickhouse-local` or `Amazon Athena`.
|
||||
|
||||
If you select "Cold Run" or "Hot Run", the aggregation across the queries is performed in the following way:
|
||||
|
||||
1. The first run for every query is selected for Cold Run. For Hot Run, the minimum from 2nd and 3rd run time is selected, if both runs are successful, or null if some were unsuccessful.
|
||||
|
||||
By default, the "Hot Run" metric is selected, because it's not always possible to obtain a cold runtime for managed services, while for on-premise a quite slow EBS volume is used by default which makes the comparison slightly less interesting.
|
||||
|
||||
2. For every query, find a system that demonstrated the best (fastest) query time and take it as a baseline.
|
||||
|
||||
This gives us a point of comparison. Alternatively, we can take a benchmark entry like "ClickHouse on c6a.metal" as a baseline and divide all queries time by the times from a baseline. But it would be quite arbitrary and asymmetric. Instead, we take the best result for every query separately.
|
||||
|
||||
3. For every query, if the result is present, calculate the ratio to the baseline, but add constant 10ms to the nominator and denominator, so the formula will be: `(10ms + query_time) / (10ms + baseline_query_time)`. This formula gives a value >= 1, which is equal to 1 for the best benchmark entry on this query.
|
||||
|
||||
We are interested in relative query run times, not absolute. The benchmark has a broad set of queries, and there can be queries that typically run in 100ms (e.g. for interactive dashboards) and some queries that typically run in a minute (e.g. complex ad-hoc queries). And we want to treat these queries equally important in the benchmark, that's why we need relative values.
|
||||
|
||||
The constant shift is needed to make the formula well-defined when query time approaches zero. E.g. some systems can get query results in 0 ms using table metadata lookup, and another in 10 ms by range scan. But this should not be treated as the infinite advantage of one system over the other. With the constant shift, we will treat it as only two times an advantage.
|
||||
|
||||
4. For every query, if the result is not present, substitute it with a "penalty" calculated as follows: take the maximum query runtime for this benchmark entry across other queries that have a result, but if it is less than 300 seconds, put it 300 seconds. Then multiply the value by 2. Then calculate the ratio as explained above.
|
||||
|
||||
For example, one system crashed while trying to run a query which can highlight the maturity, or lack of maturity, of a system. Or does not run a query due to limitations. If this system shows run times like 1..1000 sec. on other queries, we will substitute 2000 sec. instead of this missing result.
|
||||
|
||||
5. Take the geometric mean of the ratios across the queries. It will be the summary rating.
|
||||
|
||||
Why geometric mean? The ratios can only be naturally averaged in this way. Imagine there are two queries and two systems. The first system ran the first query in 1s and the second query in 20s. The second system ran the first query in 2s and the second query in 10s. So, the first system is two times faster on the first query and two times slower on the second query and vice-versa. The final score should be identical for these systems.
|
||||
|
||||
|
||||
## History and Motivation
|
||||
|
||||
The benchmark has been created in October 2013 for evaluating various DBMS to use for a web analytics system. It has been made by taking a 1/50th of one week of production pageviews (a.k.a. "hits") data and taking the first one billion, one hundred million, and ten million records from it. It has been run on a 3-node cluster of Xeon E2650v2 with 128 GiB RAM, 8x6TB HDD in md-RAID-6, and 10 Gbit network in a private datacenter in Finland.
|
||||
|
||||
The following systems were tested in 2013: ClickHouse, MonetDB, InfiniDB, Infobright, LucidDB, Vertica, Hive and MySQL. To ensure fairness, the benchmark has been conducted by a person without ClickHouse experience. ClickHouse has been selected for production usage by the results of this benchmark.
|
||||
|
||||
The benchmark continued to be occasionally used privately until 2016 when the results has been published with the ClickHouse release in open-source. While the results were made public, the datasets were not, as they contain customer data.
|
||||
|
||||
We needed to publish the dataset to facilitate open-source development and testing, but it was not possible to do it as is. In 2019, the `clickhouse-obfuscator` tool has been introduced to anonymize the data, and the dataset has been published. Read more about the challenge of data obfuscation [here](https://habr.com/en/company/yandex/blog/485096/).
|
||||
|
||||
More systems were included in the benchmark over time: Greenplum, MemSQL (now SingleStore), OmniSci (now HeavyAI), DuckDB, PostgreSQL, and TimescaleDB.
|
||||
|
||||
In [2021](https://clickhouse.com/blog/introducing-click-house-inc/) the original cluster for benchmark stopped being used, and we were unable to add new results without rerunning the old results on different hardware. Rerunning the old results appeared to be difficult: due to the natural churn of the software, the old step-by-step instructions become stale.
|
||||
|
||||
The original benchmark dataset included many details that were natural for ClickHouse and web analytics data but hard for other systems: unsigned integers (not supported by standard SQL), strings with zero bytes, fixed-length string data types, etc. Only ClickHouse is being able to load the dataset as is, while most other databases require non-trivial adjustments to the data and queries.
|
||||
|
||||
The idea of the new benchmark is:
|
||||
- normalize the dataset to a "common denominator", so it can be loaded to most of the systems without a hassle.
|
||||
- normalize the queries to use only standard SQL - they will not use any advantages of ClickHouse but will be runnable on every system.
|
||||
- ideally make it automated. At least make it simple - runnable by a short shell script that can be run by copy-pasting a few commands in the terminal, in the worst case.
|
||||
- run everything on widely available cloud VMs and allow to record the results from various types of instances.
|
||||
|
||||
The benchmark is created and used by the ClickHouse team. It can be surprising, but we [did not perform](https://clickhouse.com/blog/clickhouse-over-the-years-with-benchmarks/) any specific optimizations in ClickHouse for the queries in the benchmark, which allowed us to keep some reasonable sense of fairness with respect to other systems.
|
||||
|
||||
Now the new benchmark is easy to use and the results for any system can be reproduced in around 20 minutes.
|
||||
|
||||
We also introduced the [Hardware Benchmark](https://clickhouse.com/benchmark/hardware/) for testing servers and VMs.
|
||||
|
||||
## Systems Included
|
||||
|
||||
- [x] ClickHouse
|
||||
- [ ] ClickHouse operating like "Athena"
|
||||
- [x] clickhouse-local without data loading
|
||||
- [x] MySQL InnoDB
|
||||
- [x] MySQL MyISAM
|
||||
- [ ] MariaDB
|
||||
- [x] MariaDB ColumnStore
|
||||
- [x] MemSQL/SingleStore
|
||||
- [x] PostgreSQL
|
||||
- [x] Greenplum
|
||||
- [x] TimescaleDB
|
||||
- [x] Citus
|
||||
- [x] Vertica (without publishing)
|
||||
- [x] QuestDB
|
||||
- [x] DuckDB
|
||||
- [x] MonetDB
|
||||
- [x] mapD/Omnisci/HeavyAI
|
||||
- [x] Databend
|
||||
- [ ] Doris/PALO
|
||||
- [x] Druid
|
||||
- [x] Pinot
|
||||
- [x] CrateDB
|
||||
- [ ] Spark SQL
|
||||
- [ ] Starrocks
|
||||
- [ ] ShitholeDB
|
||||
- [ ] Hive
|
||||
- [ ] Impala
|
||||
- [ ] Hyper
|
||||
- [x] SQLite
|
||||
- [x] Redshift
|
||||
- [x] Redshift Serverless
|
||||
- [ ] Presto/Trino
|
||||
- [x] Amazon Athena
|
||||
- [x] Bigquery (without publishing)
|
||||
- [x] Snowflake
|
||||
- [ ] Rockset
|
||||
- [ ] CockroachDB
|
||||
- [ ] CockroachDB Serverless
|
||||
- [ ] Databricks
|
||||
- [ ] Planetscale (without publishing)
|
||||
- [ ] TiDB (TiFlash)
|
||||
- [x] Amazon RDS Aurora for MySQL
|
||||
- [x] Amazon RDS Aurora for Postgres
|
||||
- [ ] InfluxDB
|
||||
- [ ] VictoriaMetrics
|
||||
- [ ] TDEngine
|
||||
- [ ] MongoDB
|
||||
- [ ] Cassandra
|
||||
- [ ] ScyllaDB
|
||||
- [ ] Elasticsearch
|
||||
- [ ] Apache Ignite
|
||||
- [ ] Infobright
|
||||
- [ ] Actian Vector
|
||||
- [ ] Manticore Search
|
||||
- [x] Vertica (without publishing)
|
||||
- [ ] Azure Synapse
|
||||
- [ ] Starburst Galaxy
|
||||
- [ ] MS SQL Server with Column Store Index (without publishing)
|
||||
- [ ] Dremio (without publishing)
|
||||
- [ ] Exasol
|
||||
- [ ] LocustDB
|
||||
- [ ] EventQL
|
||||
- [ ] Apache Drill
|
||||
- [ ] Apache Kudu
|
||||
- [ ] Apache Kylin
|
||||
|
||||
By default, all tests are run on c6a.4xlarge VM in AWS with 500 GB gp2.
|
||||
|
||||
Please help us add more systems and run the benchmarks on more types of VMs.
|
||||
|
||||
## Similar Projects
|
||||
|
||||
Many alternative benchmarks are applicable to OLAP DBMS with their own advantages and disadvantages.
|
||||
|
||||
### Brown University Mgbench
|
||||
|
||||
https://github.com/crottyan/mgbench
|
||||
|
||||
A new analytical benchmark for machine-generated log data. By Andrew Crottyan from Brown University.
|
||||
|
||||
Advantages:
|
||||
- somewhat realistic dataset;
|
||||
- a diverse set of queries;
|
||||
- good coverage of systems;
|
||||
- easy to reproduce;
|
||||
|
||||
Disadvantages:
|
||||
- very small dataset size;
|
||||
- favors in-memory databases;
|
||||
- mostly abandoned.
|
||||
|
||||
### UC Berkeley AMPLab Big Data Benchmark
|
||||
|
||||
https://amplab.cs.berkeley.edu/benchmark/
|
||||
|
||||
Poor coverage of queries that are too simple. The benchmark is abandoned.
|
||||
|
||||
### Mark Litwinschik's NYC Taxi
|
||||
|
||||
https://tech.marksblogg.com/benchmarks.html
|
||||
|
||||
Advantages:
|
||||
- real-world dataset;
|
||||
- good coverage of systems; many unusual entries;
|
||||
- contains a story for every benchmark entry;
|
||||
|
||||
Disadvantages:
|
||||
- unreasonably small set of queries: 4 mostly trivial queries don't represent any realistic workload and are subjects for over-optimization;
|
||||
- compares different systems on different hardware;
|
||||
- many results are outdated;
|
||||
- no automated or easy way to reproduce the results;
|
||||
- while many results are performed independently of corporations or academia, some benchmark entries may have been sponsored;
|
||||
- the dataset is not readily available for downloads: originally 1.1 billion records are used, while it's more than 4 billion records in 2022.
|
||||
|
||||
### Database-like ops Benchmark from h2o.ai
|
||||
|
||||
https://h2oai.github.io/db-benchmark/
|
||||
|
||||
A benchmark for data-frame libraries and embedded databases. Good coverage of data-frame libraries and a few full-featured DBMS as well.
|
||||
|
||||
### A benchmark for querying large JSON datasets
|
||||
|
||||
https://colab.research.google.com/github/dcmoura/spyql/blob/master/notebooks/json_benchmark.ipynb
|
||||
|
||||
A good benchmark for command-line tools for processing semistructured data. Can be used to test DBMS as well.
|
||||
|
||||
### Star Schema Benchmark
|
||||
|
||||
Pat O'Neil, Betty O'Neil, Xuedong Chen
|
||||
https://www.cs.umb.edu/~poneil/StarSchemaB.PDF
|
||||
|
||||
It is a simplified version of TPC-H.
|
||||
|
||||
Advantages:
|
||||
- well-specified;
|
||||
- popular in academia;
|
||||
|
||||
Disadvantages:
|
||||
- represents a classic data warehouse schema;
|
||||
- database generator produces random distributions that are not realistic and the benchmark does not allow to capture the difference in various optimizations that matter on real-world data;
|
||||
- many research systems in academia targeting for this benchmark which makes many aspects of it exhausted;
|
||||
|
||||
### TPC-H
|
||||
|
||||
A benchmark suite from Transaction Processing Council - one of the oldest organizations specializing in DBMS benchmarks.
|
||||
|
||||
Advantages:
|
||||
- well-specified;
|
||||
|
||||
Disadvantages:
|
||||
- requires official certification;
|
||||
- represents a classic data warehouse schema;
|
||||
- database generator produces random distributions that are not realistic and the benchmark does not allow to capture the difference in various optimizations that matter on real-world data;
|
||||
- many systems are targeting this benchmark which makes many aspects of it exhausted;
|
||||
|
||||
### TPC-DS
|
||||
|
||||
More advanced than TPC-H, focused on complex ad-hoc queries. This also requires official certification.
|
||||
|
||||
Advantages:
|
||||
- an extensive collection of complex queries.
|
||||
|
||||
Disadvantages:
|
||||
- requires official certification;
|
||||
- official results have only sparse coverage of systems;
|
||||
- biased towards complex queries over many tables.
|
||||
|
||||
### Ontime
|
||||
|
||||
Introduced by Vadim Tkachenko from Percona [in 2009](https://www.percona.com/blog/2009/10/02/analyzing-air-traffic-performance-with-infobright-and-monetdb/).
|
||||
|
||||
Based on the US Bureau of Transportation Statistics open data.
|
||||
|
||||
Advantages:
|
||||
- real-world dataset;
|
||||
|
||||
Disadvantages:
|
||||
- not widely used;
|
||||
- the set of queries is not standardized;
|
||||
- the table contains too much redundancy;
|
||||
|
||||
### TSBS
|
||||
|
||||
Time Series Benchmark Suite. https://github.com/timescale/tsbs
|
||||
Originally from InfluxDB, and supported by TimescaleDB.
|
||||
|
||||
Advantages:
|
||||
- a benchmark for time-series scenarios;
|
||||
|
||||
Disadvantages:
|
||||
- not applicable for scenarios with data analytics.
|
||||
|
||||
### Fair Database Benchmarks
|
||||
|
||||
https://github.com/db-benchmarks/db-benchmarks
|
||||
|
||||
A benchmark suite inspired by ClickHouse benchmarks.
|
||||
Used mostly to compare search engines: Elasticsearch and Manticore.
|
||||
|
||||
### STAC
|
||||
|
||||
https://www.stacresearch.com/
|
||||
|
||||
Disadvantages:
|
||||
- requires a paid membership.
|
||||
|
||||
### More...
|
||||
|
||||
Please let me know if you know more well-defined, realistic, and reproducible benchmarks for analytical workloads.
|
||||
|
||||
In addition, I collect every benchmark that includes ClickHouse [here](https://github.com/ClickHouse/ClickHouse/issues/22398).
|
||||
|
||||
## Additional Outcomes
|
||||
|
||||
This benchmark can be used to collect the snippets for installation and data loading across a wide variety of DBMS. The usability and quality of the documentation can be compared. It has been used to improve the quality of the participants as demonstrated in [duckdb#3969](https://github.com/duckdb/duckdb/issues/3969), [timescaledb#4473](https://github.com/timescale/timescaledb/issues/4473), [mariadb-corporation#16](https://github.com/mariadb-corporation/mariadb-community-columnstore-docker/issues/16), [MonetDB#7309](https://github.com/duckdb/duckdb/issues/3969), [questdb#2272](https://github.com/questdb/questdb/issues/2272), [crate#12654](https://github.com/crate/crate/issues/12654), [LocustDB#152](https://github.com/cswinter/LocustDB/issues/152), etc;
|
||||
|
||||
### References and Citation
|
||||
|
||||
Alexey Milovidov, 2022.
|
||||
Benchmark is located in a separate repository: https://github.com/ClickHouse/ClickBench
|
||||
|
||||
@ -1,21 +0,0 @@
|
||||
Data Sources -> AWS Data Catalog -> Create Table -> Use S3 bucket data
|
||||
|
||||
Note: Athena does not support files. Only directories.
|
||||
|
||||
Go to query editor and run `create.sql`.
|
||||
|
||||
```
|
||||
sudo apt-get install -y jq
|
||||
export OUTPUT='s3://athena-experiments-milovidov/'
|
||||
|
||||
./run1.sh | tee ids.txt
|
||||
```
|
||||
|
||||
Wait a few minutes. Then:
|
||||
|
||||
```
|
||||
cat ids.txt | xargs -I{} aws --output json athena get-query-execution --query-execution-id {} | tee log.txt
|
||||
|
||||
cat log.txt | grep -P 'TotalExecutionTimeInMillis|FAILED' | grep -oP '\d+|FAILED' |
|
||||
awk '{ if ($1 == "ERROR") { skip = 1 } else { if (i % 3 == 0) { printf "[" }; printf skip ? "null" : ($1 / 1000); if (i % 3 != 2) { printf "," } else { print "]," }; ++i; skip = 0; } }'
|
||||
```
|
||||
@ -1,112 +0,0 @@
|
||||
CREATE EXTERNAL TABLE IF NOT EXISTS `test`.`hits` (
|
||||
`watchid` bigint,
|
||||
`javaenable` smallint,
|
||||
`title` string,
|
||||
`goodevent` smallint,
|
||||
`eventtime` timestamp,
|
||||
`eventdate` date,
|
||||
`counterid` int,
|
||||
`clientip` int,
|
||||
`regionid` int,
|
||||
`userid` bigint,
|
||||
`counterclass` smallint,
|
||||
`os` smallint,
|
||||
`useragent` smallint,
|
||||
`url` string,
|
||||
`referer` string,
|
||||
`isrefresh` smallint,
|
||||
`referercategoryid` smallint,
|
||||
`refererregionid` int,
|
||||
`urlcategoryid` smallint,
|
||||
`urlregionid` int,
|
||||
`resolutionwidth` smallint,
|
||||
`resolutionheight` smallint,
|
||||
`resolutiondepth` smallint,
|
||||
`flashmajor` smallint,
|
||||
`flashminor` smallint,
|
||||
`flashminor2` string,
|
||||
`netmajor` smallint,
|
||||
`netminor` smallint,
|
||||
`useragentmajor` smallint,
|
||||
`useragentminor` string,
|
||||
`cookieenable` smallint,
|
||||
`javascriptenable` smallint,
|
||||
`ismobile` smallint,
|
||||
`mobilephone` smallint,
|
||||
`mobilephonemodel` string,
|
||||
`params` string,
|
||||
`ipnetworkid` int,
|
||||
`traficsourceid` smallint,
|
||||
`searchengineid` smallint,
|
||||
`searchphrase` string,
|
||||
`advengineid` smallint,
|
||||
`isartifical` smallint,
|
||||
`windowclientwidth` smallint,
|
||||
`windowclientheight` smallint,
|
||||
`clienttimezone` smallint,
|
||||
`clienteventtime` timestamp,
|
||||
`silverlightversion1` smallint,
|
||||
`silverlightversion2` smallint,
|
||||
`silverlightversion3` int,
|
||||
`silverlightversion4` smallint,
|
||||
`pagecharset` string,
|
||||
`codeversion` int,
|
||||
`islink` smallint,
|
||||
`isdownload` smallint,
|
||||
`isnotbounce` smallint,
|
||||
`funiqid` bigint,
|
||||
`originalurl` string,
|
||||
`hid` int,
|
||||
`isoldcounter` smallint,
|
||||
`isevent` smallint,
|
||||
`isparameter` smallint,
|
||||
`dontcounthits` smallint,
|
||||
`withhash` smallint,
|
||||
`hitcolor` string,
|
||||
`localeventtime` timestamp,
|
||||
`age` smallint,
|
||||
`sex` smallint,
|
||||
`income` smallint,
|
||||
`interests` smallint,
|
||||
`robotness` smallint,
|
||||
`remoteip` int,
|
||||
`windowname` int,
|
||||
`openername` int,
|
||||
`historylength` smallint,
|
||||
`browserlanguage` string,
|
||||
`browsercountry` string,
|
||||
`socialnetwork` string,
|
||||
`socialaction` string,
|
||||
`httperror` smallint,
|
||||
`sendtiming` int,
|
||||
`dnstiming` int,
|
||||
`connecttiming` int,
|
||||
`responsestarttiming` int,
|
||||
`responseendtiming` int,
|
||||
`fetchtiming` int,
|
||||
`socialsourcenetworkid` smallint,
|
||||
`socialsourcepage` string,
|
||||
`paramprice` bigint,
|
||||
`paramorderid` string,
|
||||
`paramcurrency` string,
|
||||
`paramcurrencyid` smallint,
|
||||
`openstatservicename` string,
|
||||
`openstatcampaignid` string,
|
||||
`openstatadid` string,
|
||||
`openstatsourceid` string,
|
||||
`utmsource` string,
|
||||
`utmmedium` string,
|
||||
`utmcampaign` string,
|
||||
`utmcontent` string,
|
||||
`utmterm` string,
|
||||
`fromtag` string,
|
||||
`hasgclid` smallint,
|
||||
`refererhash` bigint,
|
||||
`urlhash` bigint,
|
||||
`clid` int
|
||||
)
|
||||
ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
|
||||
WITH SERDEPROPERTIES (
|
||||
'serialization.format' = '1'
|
||||
) LOCATION 's3://clickhouse-public-datasets/hits_compatible/athena_partitioned'
|
||||
TBLPROPERTIES ('has_encrypted_data'='false');
|
||||
@ -1,112 +0,0 @@
|
||||
CREATE EXTERNAL TABLE IF NOT EXISTS `test`.`hits` (
|
||||
`watchid` bigint,
|
||||
`javaenable` smallint,
|
||||
`title` string,
|
||||
`goodevent` smallint,
|
||||
`eventtime` timestamp,
|
||||
`eventdate` date,
|
||||
`counterid` int,
|
||||
`clientip` int,
|
||||
`regionid` int,
|
||||
`userid` bigint,
|
||||
`counterclass` smallint,
|
||||
`os` smallint,
|
||||
`useragent` smallint,
|
||||
`url` string,
|
||||
`referer` string,
|
||||
`isrefresh` smallint,
|
||||
`referercategoryid` smallint,
|
||||
`refererregionid` int,
|
||||
`urlcategoryid` smallint,
|
||||
`urlregionid` int,
|
||||
`resolutionwidth` smallint,
|
||||
`resolutionheight` smallint,
|
||||
`resolutiondepth` smallint,
|
||||
`flashmajor` smallint,
|
||||
`flashminor` smallint,
|
||||
`flashminor2` string,
|
||||
`netmajor` smallint,
|
||||
`netminor` smallint,
|
||||
`useragentmajor` smallint,
|
||||
`useragentminor` string,
|
||||
`cookieenable` smallint,
|
||||
`javascriptenable` smallint,
|
||||
`ismobile` smallint,
|
||||
`mobilephone` smallint,
|
||||
`mobilephonemodel` string,
|
||||
`params` string,
|
||||
`ipnetworkid` int,
|
||||
`traficsourceid` smallint,
|
||||
`searchengineid` smallint,
|
||||
`searchphrase` string,
|
||||
`advengineid` smallint,
|
||||
`isartifical` smallint,
|
||||
`windowclientwidth` smallint,
|
||||
`windowclientheight` smallint,
|
||||
`clienttimezone` smallint,
|
||||
`clienteventtime` timestamp,
|
||||
`silverlightversion1` smallint,
|
||||
`silverlightversion2` smallint,
|
||||
`silverlightversion3` int,
|
||||
`silverlightversion4` smallint,
|
||||
`pagecharset` string,
|
||||
`codeversion` int,
|
||||
`islink` smallint,
|
||||
`isdownload` smallint,
|
||||
`isnotbounce` smallint,
|
||||
`funiqid` bigint,
|
||||
`originalurl` string,
|
||||
`hid` int,
|
||||
`isoldcounter` smallint,
|
||||
`isevent` smallint,
|
||||
`isparameter` smallint,
|
||||
`dontcounthits` smallint,
|
||||
`withhash` smallint,
|
||||
`hitcolor` string,
|
||||
`localeventtime` timestamp,
|
||||
`age` smallint,
|
||||
`sex` smallint,
|
||||
`income` smallint,
|
||||
`interests` smallint,
|
||||
`robotness` smallint,
|
||||
`remoteip` int,
|
||||
`windowname` int,
|
||||
`openername` int,
|
||||
`historylength` smallint,
|
||||
`browserlanguage` string,
|
||||
`browsercountry` string,
|
||||
`socialnetwork` string,
|
||||
`socialaction` string,
|
||||
`httperror` smallint,
|
||||
`sendtiming` int,
|
||||
`dnstiming` int,
|
||||
`connecttiming` int,
|
||||
`responsestarttiming` int,
|
||||
`responseendtiming` int,
|
||||
`fetchtiming` int,
|
||||
`socialsourcenetworkid` smallint,
|
||||
`socialsourcepage` string,
|
||||
`paramprice` bigint,
|
||||
`paramorderid` string,
|
||||
`paramcurrency` string,
|
||||
`paramcurrencyid` smallint,
|
||||
`openstatservicename` string,
|
||||
`openstatcampaignid` string,
|
||||
`openstatadid` string,
|
||||
`openstatsourceid` string,
|
||||
`utmsource` string,
|
||||
`utmmedium` string,
|
||||
`utmcampaign` string,
|
||||
`utmcontent` string,
|
||||
`utmterm` string,
|
||||
`fromtag` string,
|
||||
`hasgclid` smallint,
|
||||
`refererhash` bigint,
|
||||
`urlhash` bigint,
|
||||
`clid` int
|
||||
)
|
||||
ROW FORMAT SERDE 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
|
||||
WITH SERDEPROPERTIES (
|
||||
'serialization.format' = '1'
|
||||
) LOCATION 's3://clickhouse-public-datasets/hits_compatible/athena'
|
||||
TBLPROPERTIES ('has_encrypted_data'='false');
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, extract(minute FROM EventTime), SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC OFFSET 1000 LIMIT 10;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END, URL ORDER BY PageViews DESC OFFSET 1000 LIMIT 10;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC OFFSET 100 LIMIT 10;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-01' AND EventDate <= DATE '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC OFFSET 10000 LIMIT 10;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= DATE '2013-07-14' AND EventDate <= DATE '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) OFFSET 1000 LIMIT 10;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Athena (partitioned)",
|
||||
"date": "2022-07-01",
|
||||
"machine": "serverless",
|
||||
"cluster_size": "serverless",
|
||||
"comment": "",
|
||||
|
||||
"tags": ["stateless", "managed", "Java", "column-oriented"],
|
||||
|
||||
"load_time": 0,
|
||||
"data_size": 13800000000,
|
||||
|
||||
"result": [
|
||||
[2.777,3.275,2.925],
|
||||
[1.503,3.136,4.003],
|
||||
[4.544,3.833,3.64],
|
||||
[3.9,2.514,3.522],
|
||||
[3.46,2.186,3.244],
|
||||
[3.624,2.742,3.185],
|
||||
[2.21,1.984,3.123],
|
||||
[3.207,2.403,2.685],
|
||||
[2.936,2.014,3.869],
|
||||
[8.333,7.102,4.434],
|
||||
[7.401,4.697,3.155],
|
||||
[4.214,3.065,4.748],
|
||||
[6.207,4.213,2.576],
|
||||
[3.428,3.085,3.401],
|
||||
[2.92,3.3,3.278],
|
||||
[2.205,2.558,2.419],
|
||||
[4.641,3.888,2.155],
|
||||
[3.219,2.822,3.292],
|
||||
[3.23,3.579,4.31],
|
||||
[2.288,3.543,3.95],
|
||||
[3.032,2.859,2.807],
|
||||
[3.926,3.247,2.928],
|
||||
[4.477,4.048,4.392],
|
||||
[7.407,6.375,6.123],
|
||||
[2.611,2.872,2.827],
|
||||
[2.566,2.567,3.6],
|
||||
[3.673,3.733,2.925],
|
||||
[2.426,3.218,2.78],
|
||||
[5.125,3.778,4.25],
|
||||
[4.565,4.03,4.066],
|
||||
[3.628,3.219,2.953],
|
||||
[6.207,5.973,3.158],
|
||||
[4.339,5.601,4.234],
|
||||
[2.618,3.107,3.433],
|
||||
[4.661,2.79,2.846],
|
||||
[2.373,1.629,2.734],
|
||||
[2.721,2.15,1.962],
|
||||
[3.207,2.154,2.186],
|
||||
[2.453,2.477,3.217],
|
||||
[2.691,4.732,3.584],
|
||||
[2.589,2.613,3.231],
|
||||
[1.926,3.617,1.82],
|
||||
[1.506,2.404,2.343]
|
||||
]
|
||||
}
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Athena (single)",
|
||||
"date": "2022-07-01",
|
||||
"machine": "serverless",
|
||||
"cluster_size": "serverless",
|
||||
"comment": "",
|
||||
|
||||
"tags": ["stateless", "managed", "Java", "column-oriented"],
|
||||
|
||||
"load_time": 0,
|
||||
"data_size": 13800000000,
|
||||
|
||||
"result": [
|
||||
[2.268,1.327,2.137],
|
||||
[3.427,2.248,3.605],
|
||||
[3.254,2.548,2.316],
|
||||
[3.025,2.314,3.003],
|
||||
[2.264,2.876,4.213],
|
||||
[3.044,2.745,2.698],
|
||||
[2.732,2.199,2.659],
|
||||
[2.022,3.692,3.072],
|
||||
[2.746,2.477,2.785],
|
||||
[3.53,2.782,4.031],
|
||||
[2.709,2.047,2.853],
|
||||
[2.318,1.969,3.4],
|
||||
[2.635,1.935,2.707],
|
||||
[3.049,3.38,3.071],
|
||||
[3.661,2.387,2.476],
|
||||
[2.479,2.591,2.21],
|
||||
[3.093,3.698,4.351],
|
||||
[3.479,3.236,2.274],
|
||||
[4.36,2.97,3.457],
|
||||
[2.525,2.384,3.328],
|
||||
[3.34,3.174,3.409],
|
||||
[3.163,2.971,3.034],
|
||||
[2.999,3.539,2.906],
|
||||
[6.454,7.597,7.858],
|
||||
[2.754,1.951,2.645],
|
||||
[2.852,3.018,2.718],
|
||||
[2.513,2.678,2.417],
|
||||
[3.293,2.521,2.771],
|
||||
[4.392,3.863,3.981],
|
||||
[3.658,4.246,4.027],
|
||||
[3.028,3.87,2.337],
|
||||
[2.923,3.635,3.591],
|
||||
[3.142,4.105,3.15],
|
||||
[3.66,3.187,4.745],
|
||||
[2.652,2.695,2.742],
|
||||
[2.262,2.776,1.815],
|
||||
[1.881,2.212,2.053],
|
||||
[1.934,2.551,1.524],
|
||||
[2.069,2.26,1.805],
|
||||
[2.626,2.902,2.793],
|
||||
[1.791,2.082,2.481],
|
||||
[3.757,2.6,1.946],
|
||||
[2.608,1.994,3.967]
|
||||
]
|
||||
}
|
||||
@ -1,9 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
for i in $(seq 1 $TRIES); do
|
||||
aws athena --output json start-query-execution --query-execution-context 'Database=test' --result-configuration "OutputLocation=${OUTPUT}" --query-string "${query}" | jq '.QueryExecutionId'
|
||||
done
|
||||
done
|
||||
@ -1,67 +0,0 @@
|
||||
Select Aurora.
|
||||
Select Aurora for MySQL.
|
||||
Select the latest version 3.02.0 (compatible with MySQL 8.0.23)
|
||||
Select Production template.
|
||||
|
||||
Database: database-1
|
||||
User name: admin
|
||||
Master password: vci43A32#1
|
||||
|
||||
Select serverless.
|
||||
16 minimum and maximum ACU (32 GB RAM).
|
||||
Don't create an Aurora replica.
|
||||
Public access: yes.
|
||||
Turn off DevOps Guru.
|
||||
|
||||
Creation took around 15 seconds.
|
||||
But creation of endpoints took longer.
|
||||
|
||||
Find the writer instance endpoint.
|
||||
Example: database-1.cluster-cnkeohbxcwr1.eu-central-1.rds.amazonaws.com
|
||||
|
||||
```
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y mysql-client
|
||||
```
|
||||
|
||||
Find "Security", click on the group in "VPC security groups".
|
||||
Edit "Inbound rules". Add "Custom TCP", port 3306, from 0.0.0.0/0.
|
||||
|
||||
```
|
||||
export HOST="database-1.cluster-cnkeohbxcwr1.eu-central-1.rds.amazonaws.com"
|
||||
export PASSWORD="..."
|
||||
|
||||
mysql -h "${HOST}" -u admin --password="${PASSWORD}" -e "CREATE DATABASE test"
|
||||
```
|
||||
|
||||
Load the data
|
||||
|
||||
```
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
mysql -h "${HOST}" -u admin --password="${PASSWORD}" test < create.sql
|
||||
|
||||
time mysql --local-infile=1 -h "${HOST}" -u admin --password="${PASSWORD}" test -e "LOAD DATA LOCAL INFILE 'hits.tsv' INTO TABLE hits"
|
||||
```
|
||||
|
||||
> 128m7.318s
|
||||
|
||||
Go to "Monitoring", find "[Billed] Volume Bytes Used".
|
||||
|
||||
> 83.46 GiB
|
||||
|
||||
```
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
cat log.txt |
|
||||
grep -P 'rows? in set|Empty set|^ERROR' |
|
||||
sed -r -e 's/^ERROR.*$/null/; s/^.*?\((([0-9.]+) min )?([0-9.]+) sec\).*?$/\2 \3/' |
|
||||
awk '{ if ($2) { print $1 * 60 + $2 } else { print $1 } }' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
```
|
||||
|
||||
You will get
|
||||
> ERROR 1114 (HY000) at line 1: The table '/rdsdbdata/tmp/#sqlaff_e5_0' is full
|
||||
|
||||
to some queries.
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, extract(minute FROM EventTime), SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') ORDER BY DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Aurora for MySQL",
|
||||
"date": "2022-07-01",
|
||||
"machine": "16acu",
|
||||
"cluster_size": 1,
|
||||
"comment": "Some queries cannot run due to ERROR 1114 (HY000) at line 1: The table '/rdsdbdata/tmp/#sqlaff_e5_0' is full",
|
||||
|
||||
"tags": ["managed", "C++", "MySQL compatible", "row-oriented"],
|
||||
|
||||
"load_time": 7687.318,
|
||||
"data_size": 89614492631,
|
||||
|
||||
"result": [
|
||||
[740.42,739.91,746.65],
|
||||
[828.2,835.67,832.87],
|
||||
[830.08,830.98,832.38],
|
||||
[829.88,832.83,830.87],
|
||||
[845.99,842.4,843.21],
|
||||
[869.51,870.69,869.75],
|
||||
[823.77,829.08,825.54],
|
||||
[827.74,832.87,829.25],
|
||||
[916.26,909.46,929.17],
|
||||
[946.49,939.27,932.32],
|
||||
[852.37,857.69,854.74],
|
||||
[857.99,864.05,825.14],
|
||||
[null,null,null],
|
||||
[863.37,860.2,865.62],
|
||||
[null,null,null],
|
||||
[891.84,895.28,893.68],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[1420.12,1419.34,1445.08],
|
||||
[28.94,0.21,0.21],
|
||||
[917.64,917.56,916.92],
|
||||
[923.47,921.7,923.82],
|
||||
[919.95,918.37,920.17],
|
||||
[1002.19,1002.07,1001.2],
|
||||
[902.23,902.65,901.8],
|
||||
[901.17,900.02,898.3],
|
||||
[900.04,898.89,903.35],
|
||||
[901.78,902.71,901.28],
|
||||
[null,null,null],
|
||||
[1153.29,1154,1156.46],
|
||||
[862.57,863.35,859.69],
|
||||
[923.14,921.1,923.92],
|
||||
[1370.78,1401.72,1401.44],
|
||||
[1454.67,1455.55,1458.79],
|
||||
[1463.31,1466.75,1461.83],
|
||||
[941.03,944.07,937.23],
|
||||
[7.42,2.80,2.77],
|
||||
[2.57,2.52,2.59],
|
||||
[1.50,1.52,1.59],
|
||||
[3.62,3.57,3.61],
|
||||
[0.95,0.94,0.94],
|
||||
[0.90,0.92,0.91],
|
||||
[1.69,1.72,1.69]
|
||||
]
|
||||
}
|
||||
@ -1,9 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
for i in $(seq 1 $TRIES); do
|
||||
mysql -h "${HOST}" -u admin --password="${PASSWORD}" test -vvv -e "${query}"
|
||||
done;
|
||||
done;
|
||||
@ -1,59 +0,0 @@
|
||||
Select Aurora.
|
||||
Select Aurora for PostgreSQL.
|
||||
Select the latest version PostgreSQL 14.3.
|
||||
Select Production template.
|
||||
|
||||
Database: database-2
|
||||
User name: postgres
|
||||
Master password: vci43A32#1
|
||||
|
||||
Select serverless.
|
||||
16 minimum and maximum ACU (32 GB RAM).
|
||||
Don't create an Aurora replica.
|
||||
Public access: yes.
|
||||
Turn off DevOps Guru.
|
||||
|
||||
Creation took around 15 seconds.
|
||||
But creation of endpoints took longer (around 5..10 minutes).
|
||||
|
||||
Find the writer instance endpoint.
|
||||
Example: database-1.cluster-cnkeohbxcwr1.eu-central-1.rds.amazonaws.com
|
||||
|
||||
```
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y postgresql-client
|
||||
```
|
||||
|
||||
Find "Security", click on the group in "VPC security groups".
|
||||
Edit "Inbound rules". Add "Custom TCP", port 5432, from 0.0.0.0/0.
|
||||
|
||||
```
|
||||
export HOST="database-2-instance-1.cnkeohbxcwr1.eu-central-1.rds.amazonaws.com"
|
||||
echo "*:*:*:*:..." > .pgpass
|
||||
chmod 400 .pgpass
|
||||
```
|
||||
|
||||
Load the data
|
||||
|
||||
```
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
psql -U postgres -h "${HOST}" -t -c 'CREATE DATABASE test'
|
||||
psql -U postgres -h "${HOST}" test -t < create.sql
|
||||
psql -U postgres -h "${HOST}" test -t -c '\timing' -c "\\copy hits FROM 'hits.tsv'"
|
||||
```
|
||||
|
||||
> COPY 99997497
|
||||
> Time: 2126515.516 ms (35:26.516)
|
||||
|
||||
Go to "Monitoring", find "[Billed] Volume Bytes Used".
|
||||
|
||||
> 48.6 GiB
|
||||
|
||||
```
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
cat log.txt | grep -oP 'Time: \d+\.\d+ ms' | sed -r -e 's/Time: ([0-9]+\.[0-9]+) ms/\1/' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1 / 1000; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
```
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Aurora for PostgreSQL",
|
||||
"date": "2022-07-01",
|
||||
"machine": "16acu",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["managed", "C", "PostgreSQL compatible", "row-oriented"],
|
||||
|
||||
"load_time": 2127,
|
||||
"data_size": 52183852646,
|
||||
|
||||
"result": [
|
||||
[12.8361,5.71812,5.8241],
|
||||
[61.2565,62.1402,63.7173],
|
||||
[68.0578,68.1218,67.609],
|
||||
[7.83207,5.90193,6.0461],
|
||||
[48.7194,48.0233,48.2198],
|
||||
[289.492,304.639,282.436],
|
||||
[6.30572,6.31857,6.21598],
|
||||
[53.644,53.8931,53.5307],
|
||||
[131.526,131.45,131.102],
|
||||
[137.724,136.921,137.758],
|
||||
[57.2079,56.2775,56.2152],
|
||||
[56.5349,56.2048,55.9569],
|
||||
[82.3897,82.8866,83.534],
|
||||
[97.0569,97.1392,96.4731],
|
||||
[85.6557,86.7783,86.2804],
|
||||
[49.4325,42.4309,42.5743],
|
||||
[111.537,114.59,111.807],
|
||||
[88.4322,89.3756,87.7899],
|
||||
[160.781,163.866,161.394],
|
||||
[1025.04,2.10165,2.10065],
|
||||
[106.741,56.2731,56.1535],
|
||||
[59.2681,59.5272,59.536],
|
||||
[58.6083,57.6054,57.3935],
|
||||
[54.8271,55.1397,56.3487],
|
||||
[54.718,52.469,53.271],
|
||||
[53.5387,53.1926,52.4008],
|
||||
[52.0042,51.9581,52.2453],
|
||||
[60.1317,59.9695,59.2187],
|
||||
[244.608,242.954,243.815],
|
||||
[91.8674,92.4165,91.5884],
|
||||
[63.7122,64.277,64.2783],
|
||||
[69.2596,68.9535,69.4508],
|
||||
[234.222,241.138,240.316],
|
||||
[488.169,462.257,460.466],
|
||||
[472.929,471.809,476.635],
|
||||
[103.664,116.131,103.467],
|
||||
[16.8124,3.34058,3.37782],
|
||||
[0.852414,0.832073,0.859857],
|
||||
[0.305464,0.31166,0.306694],
|
||||
[4.55625,4.54098,4.58501],
|
||||
[0.299746,0.297532,0.30334],
|
||||
[0.275732,0.279817,0.27766],
|
||||
[0.332107,0.324387,0.320099]
|
||||
]
|
||||
}
|
||||
@ -1,10 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
psql -U postgres -h "${HOST}" test -t -c '\timing' -c "$query" | grep 'Time'
|
||||
done;
|
||||
done;
|
||||
1
benchmark/bigquery/.gitignore
vendored
1
benchmark/bigquery/.gitignore
vendored
@ -1 +0,0 @@
|
||||
results
|
||||
@ -1,38 +0,0 @@
|
||||
BigQuery has "DeWitt" clause that restricts from disclosing the benchmark results.
|
||||
Nevertheless, it does not prevent from doing the benchmarks.
|
||||
|
||||
It's very difficult to find, how to create a database.
|
||||
Databases are named "datasets". You need to press on `⋮` near project.
|
||||
|
||||
Create dataset `test`.
|
||||
Go to the query editor and paste the contents of `create.sql`.
|
||||
It will take two seconds to create a table.
|
||||
|
||||
Download Google Cloud CLI:
|
||||
```
|
||||
curl -O https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-392.0.0-linux-x86_64.tar.gz
|
||||
tar -xf google-cloud-cli-392.0.0-linux-x86_64.tar.gz
|
||||
./google-cloud-sdk/install.sh
|
||||
source .bashrc
|
||||
./google-cloud-sdk/bin/gcloud init
|
||||
```
|
||||
|
||||
Load the data:
|
||||
```
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.csv.gz'
|
||||
gzip -d hits.csv.gz
|
||||
|
||||
time bq load --source_format CSV --allow_quoted_newlines=1 test.hits hits.csv
|
||||
```
|
||||
|
||||
Run the benchmark:
|
||||
|
||||
```
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
cat log.txt |
|
||||
grep -P '^real|^Error' |
|
||||
sed -r -e 's/^Error.*$/null/; s/^real\s*([0-9.]+)m([0-9.]+)s$/\1 \2/' |
|
||||
awk '{ if ($2) { print $1 * 60 + $2 } else { print $1 } }' |
|
||||
awk '{ if ($1 == "null") { skip = 1 } else { if (i % 3 == 0) { printf "[" }; printf skip ? "null" : $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; skip = 0; } }'
|
||||
```
|
||||
@ -1,108 +0,0 @@
|
||||
CREATE TABLE test.hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title String NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL String NOT NULL,
|
||||
Referer String NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 String NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor String NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel String NOT NULL,
|
||||
Params String NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase String NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset String NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL String NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor String NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage String NOT NULL,
|
||||
BrowserCountry String NOT NULL,
|
||||
SocialNetwork String NOT NULL,
|
||||
SocialAction String NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage String NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID String NOT NULL,
|
||||
ParamCurrency String NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName String NOT NULL,
|
||||
OpenstatCampaignID String NOT NULL,
|
||||
OpenstatAdID String NOT NULL,
|
||||
OpenstatSourceID String NOT NULL,
|
||||
UTMSource String NOT NULL,
|
||||
UTMMedium String NOT NULL,
|
||||
UTMCampaign String NOT NULL,
|
||||
UTMContent String NOT NULL,
|
||||
UTMTerm String NOT NULL,
|
||||
FromTag String NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM test.hits;
|
||||
SELECT COUNT(*) FROM test.hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM test.hits;
|
||||
SELECT AVG(UserID) FROM test.hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM test.hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM test.hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM test.hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM test.hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM test.hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM test.hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM test.hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM test.hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM test.hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM test.hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM test.hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM test.hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM test.hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM test.hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM test.hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM test.hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM test.hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM test.hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM test.hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM test.hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM test.hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM test.hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM test.hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM test.hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM test.hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM test.hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM test.hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM test.hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM test.hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM test.hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM test.hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM test.hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC(EventTime, MINUTE) AS M, COUNT(*) AS PageViews FROM test.hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY M ORDER BY M LIMIT 10 OFFSET 1000;
|
||||
@ -1,10 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
time bq query --use_legacy_sql=false --use_cache=false <<< "$query"
|
||||
done
|
||||
done
|
||||
@ -1 +0,0 @@
|
||||
An attempt to use their service resulted in a failure. It showed "Error: cannot create connection" shortly after registration and advised to ask for support. I emailed to support, and they assured that the problem will be resolved soon.
|
||||
@ -1,27 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y docker.io
|
||||
sudo apt-get install -y postgresql-client
|
||||
|
||||
sudo docker run -d --name citus -p 5432:5432 -e POSTGRES_PASSWORD=mypass citusdata/citus:11.0
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
echo "*:*:*:*:mypass" > .pgpass
|
||||
chmod 400 .pgpass
|
||||
|
||||
psql -U postgres -h localhost -d postgres --no-password -t -c 'CREATE DATABASE test'
|
||||
psql -U postgres -h localhost -d postgres --no-password test -t < create.sql
|
||||
psql -U postgres -h localhost -d postgres --no-password test -t -c '\timing' -c "\\copy hits FROM 'hits.tsv'"
|
||||
|
||||
# COPY 99997497
|
||||
# Time: 1579203.482 ms (26:19.203)
|
||||
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
sudo docker exec -it citus du -bcs /var/lib/postgresql/data
|
||||
|
||||
cat log.txt | grep -oP 'Time: \d+\.\d+ ms' | sed -r -e 's/Time: ([0-9]+\.[0-9]+) ms/\1/' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1 / 1000; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
@ -1,110 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
)
|
||||
USING COLUMNAR;
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Citus",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C", "PostgreSQL compatible", "column-oriented"],
|
||||
|
||||
"load_time": 1579,
|
||||
"data_size": 18980918899,
|
||||
|
||||
"result": [
|
||||
[7.58503,6.70447,6.52499],
|
||||
[6.33941,5.06063,5.00238],
|
||||
[11.7488,9.86417,9.93223],
|
||||
[12.6306,9.36305,9.17061],
|
||||
[40.6101,39.0803,38.1187],
|
||||
[117.654,113.912,113.441],
|
||||
[10.3404,8.08936,7.70732],
|
||||
[6.31542,4.72821,4.72989],
|
||||
[82.5425,77.2124,76.9219],
|
||||
[91.1776,83.4492,82.4727],
|
||||
[14.5474,10.0815,10.3873],
|
||||
[15.4899,11.2922,11.1877],
|
||||
[19.9794,15.5002,17.4492],
|
||||
[76.9216,72.5172,72.7915],
|
||||
[21.5446,17.5691,18.561],
|
||||
[56.9438,54.6387,53.5745],
|
||||
[75.0977,69.7842,70.0259],
|
||||
[31.3299,27.0267,26.3216],
|
||||
[129.417,122.956,121.182],
|
||||
[3.73386,2.14148,2.12737],
|
||||
[34.6021,27.9727,28.6878],
|
||||
[37.152,29.6193,29.2966],
|
||||
[52.2157,37.8589,37.6994],
|
||||
[181.955,149.08,148.471],
|
||||
[15.4687,11.3138,10.3856],
|
||||
[10.2779,8.46868,8.8324],
|
||||
[14.4687,10.4076,11.4263],
|
||||
[47.009,40.2969,39.6888],
|
||||
[749.946,742.979,744.461],
|
||||
[69.4383,67.5636,67.2128],
|
||||
[27.0317,21.4008,20.9524],
|
||||
[36.6675,25.6347,26.4408],
|
||||
[140.424,130.546,129.738],
|
||||
[106.959,92.033,90.1609],
|
||||
[110.98,94.4787,96.2656],
|
||||
[64.4474,60.1853,60.6816],
|
||||
[6.17549,6.25376,5.87004],
|
||||
[1.99153,1.81776,1.80596],
|
||||
[1.00141,0.800271,0.801975],
|
||||
[7.91778,7.70928,8.33299],
|
||||
[0.929845,0.642076,0.638478],
|
||||
[0.866536,0.683567,0.680218],
|
||||
[0.937823,0.784747,0.765929]
|
||||
]
|
||||
}
|
||||
@ -1,13 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches
|
||||
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
psql -U postgres -h localhost -d postgres --no-password -t -c '\timing' -c "$query" | grep 'Time'
|
||||
done;
|
||||
done;
|
||||
@ -1,14 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Install
|
||||
|
||||
curl https://clickhouse.com/ | sh
|
||||
|
||||
# wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.parquet'
|
||||
seq 0 99 | xargs -P100 -I{} bash -c 'wget --continue https://datasets.clickhouse.com/hits_compatible/athena_partitioned/hits_{}.parquet'
|
||||
|
||||
# Run the queries
|
||||
|
||||
./run.sh
|
||||
|
||||
du -b hits.parquet
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
)
|
||||
ENGINE = File(Parquet, 'hits_*.parquet');
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "clickhouse-local (partitioned)",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C++", "column-oriented", "embedded", "stateless", "ClickHouse derivative"],
|
||||
|
||||
"load_time": 0,
|
||||
"data_size": 14737666736,
|
||||
|
||||
"result": [
|
||||
[0.850, 0.102, 0.114],
|
||||
[1.342, 0.090, 0.099],
|
||||
[2.547, 0.179, 0.189],
|
||||
[1.681, 0.245, 0.252],
|
||||
[2.704, 1.680, 1.648],
|
||||
[2.194, 1.460, 1.489],
|
||||
[0.832, 0.113, 0.102],
|
||||
[1.371, 0.106, 0.101],
|
||||
[2.240, 0.790, 0.825],
|
||||
[4.548, 1.021, 1.026],
|
||||
[3.094, 0.552, 0.552],
|
||||
[3.088, 0.623, 0.630],
|
||||
[2.017, 1.170, 1.165],
|
||||
[4.319, 1.677, 1.708],
|
||||
[2.157, 1.496, 1.500],
|
||||
[1.629, 1.138, 1.139],
|
||||
[5.026, 3.267, 3.241],
|
||||
[4.142, 2.303, 2.319],
|
||||
[8.295, 5.569, 5.629],
|
||||
[1.331, 0.255, 0.252],
|
||||
[10.712, 3.668, 3.786],
|
||||
[13.053, 4.185, 4.202],
|
||||
[24.170, 7.935, 8.008],
|
||||
[55.965, 23.933, 23.071],
|
||||
[4.417, 0.947, 0.974],
|
||||
[1.793, 0.698, 0.690],
|
||||
[4.376, 0.955, 0.956],
|
||||
[11.731, 4.385, 4.321],
|
||||
[11.403, 8.549, 8.288],
|
||||
[2.764, 2.754, 2.735],
|
||||
[5.096, 1.262, 1.273],
|
||||
[9.515, 1.682, 1.688],
|
||||
[10.325, 6.745, 6.608],
|
||||
[11.686, 6.261, 6.242],
|
||||
[11.769, 6.301, 6.364],
|
||||
[1.675, 1.490, 1.495],
|
||||
[14.937, 3.631, 3.604],
|
||||
[14.187, 3.609, 3.631],
|
||||
[14.842, 3.769, 3.741],
|
||||
[22.222, 6.355, 6.263],
|
||||
[7.212, 0.836, 0.838],
|
||||
[7.863, 0.716, 0.718],
|
||||
[5.120, 0.587, 0.574]
|
||||
]
|
||||
}
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "clickhouse-local (single)",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C++", "column-oriented", "embedded", "stateless", "ClickHouse derivative"],
|
||||
|
||||
"load_time": 0,
|
||||
"data_size": 14779976446,
|
||||
|
||||
"result": [
|
||||
[1.176, 0.251, 0.249],
|
||||
[1.037, 0.134, 0.111],
|
||||
[1.609, 0.403, 0.369],
|
||||
[1.616, 0.372, 0.370],
|
||||
[3.008, 2.338, 2.266],
|
||||
[9.061, 7.537, 7.535],
|
||||
[1.206, 0.191, 0.187],
|
||||
[0.882, 0.144, 0.135],
|
||||
[4.610, 3.406, 3.256],
|
||||
[6.712, 4.479, 4.469],
|
||||
[4.081, 2.413, 2.394],
|
||||
[3.894, 2.719, 2.691],
|
||||
[7.651, 6.436, 6.243],
|
||||
[10.765, 8.043, 7.894],
|
||||
[9.860, 8.945, 8.235],
|
||||
[7.159, 5.815, 5.814],
|
||||
[20.916, 18.159, 18.013],
|
||||
[20.952, 17.862, 17.850],
|
||||
[37.585, 32.649, 32.487],
|
||||
[1.767, 0.401, 0.393],
|
||||
[23.713, 15.687, 15.755],
|
||||
[28.700, 19.241, 19.198],
|
||||
[50.740, 33.161, 33.011],
|
||||
[152.485, 117.417, 118.178],
|
||||
[7.606, 4.491, 5.326],
|
||||
[4.331, 4.214, 3.587],
|
||||
[6.743, 4.486, 5.357],
|
||||
[22.910, 15.043, 15.183],
|
||||
[43.342, 37.167, 36.842],
|
||||
[11.807, 4.490, 4.546],
|
||||
[9.557, 6.349, 6.263],
|
||||
[13.964, 8.493, 8.464],
|
||||
[38.110, 33.642, 33.996],
|
||||
[41.266, 35.080, 27.073],
|
||||
[34.056, 26.814, 26.902],
|
||||
[8.855, 7.548, 7.475],
|
||||
[22.596, 12.615, 12.669],
|
||||
[23.217, 13.956, 13.831],
|
||||
[22.528, 21.601, 13.207],
|
||||
[37.890, 23.115, 22.955],
|
||||
[6.490, 1.548, 1.522],
|
||||
[6.413, 1.474, 1.416],
|
||||
[3.796, 1.339, 1.316]
|
||||
]
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
QUERY_NUM=1
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(./clickhouse local --time --format Null --multiquery --query="$(cat create.sql); $query" 2>&1 | tail -n1)
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
|
||||
echo "${QUERY_NUM},${i},${RES}" >> result.csv
|
||||
done
|
||||
echo "],"
|
||||
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
done
|
||||
@ -1,22 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Install
|
||||
|
||||
curl https://clickhouse.com/ | sh
|
||||
sudo DEBIAN_FRONTEND=noninteractive ./clickhouse install
|
||||
sudo clickhouse start
|
||||
|
||||
# Load the data
|
||||
|
||||
clickhouse-client < create.sql
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
clickhouse-client --time --query "INSERT INTO hits FORMAT TSV" < hits.tsv
|
||||
|
||||
# Run the queries
|
||||
|
||||
./run.sh
|
||||
|
||||
clickhouse-client --query "SELECT total_bytes FROM system.tables WHERE name = 'hits' AND database = 'default'"
|
||||
@ -1,110 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
)
|
||||
ENGINE = MergeTree;
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "ClickHouse",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C++", "column-oriented", "ClickHouse derivative"],
|
||||
|
||||
"load_time": 475.529,
|
||||
"data_size": 14345515782,
|
||||
|
||||
"result": [
|
||||
[0.027, 0.001, 0.001],
|
||||
[0.035, 0.015, 0.021],
|
||||
[0.083, 0.034, 0.033],
|
||||
[0.171, 0.044, 0.045],
|
||||
[1.552, 1.495, 1.574],
|
||||
[1.270, 1.075, 1.063],
|
||||
[0.045, 0.026, 0.025],
|
||||
[0.032, 0.016, 0.015],
|
||||
[0.717, 0.615, 0.607],
|
||||
[0.843, 0.821, 0.747],
|
||||
[0.293, 0.219, 0.216],
|
||||
[0.312, 0.226, 0.235],
|
||||
[0.804, 0.694, 0.702],
|
||||
[1.476, 1.047, 1.029],
|
||||
[1.013, 0.898, 0.911],
|
||||
[1.043, 0.964, 1.453],
|
||||
[3.632, 2.715, 2.711],
|
||||
[1.867, 1.750, 1.714],
|
||||
[5.187, 4.797, 4.953],
|
||||
[0.112, 0.068, 0.041],
|
||||
[8.637, 1.761, 1.212],
|
||||
[9.902, 0.902, 0.869],
|
||||
[18.831, 2.067, 1.829],
|
||||
[41.903, 4.476, 3.486],
|
||||
[1.801, 0.254, 0.238],
|
||||
[0.627, 0.214, 0.207],
|
||||
[2.181, 0.241, 0.246],
|
||||
[8.868, 0.748, 0.733],
|
||||
[9.674, 6.891, 5.770],
|
||||
[2.620, 2.355, 2.368],
|
||||
[1.395, 0.533, 0.525],
|
||||
[4.454, 0.730, 0.712],
|
||||
[5.453, 4.990, 5.922],
|
||||
[9.955, 3.968, 4.096],
|
||||
[9.987, 4.035, 4.476],
|
||||
[1.695, 1.236, 1.241],
|
||||
[0.142, 0.079, 0.103],
|
||||
[0.066, 0.033, 0.040],
|
||||
[0.065, 0.030, 0.033],
|
||||
[0.246, 0.207, 0.192],
|
||||
[0.044, 0.019, 0.020],
|
||||
[0.030, 0.023, 0.012],
|
||||
[0.030, 0.018, 0.013]
|
||||
]
|
||||
}
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "ClickHouse",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.metal, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C++", "column-oriented", "ClickHouse derivative"],
|
||||
|
||||
"load_time": 136.869,
|
||||
"data_size": 14571706777,
|
||||
|
||||
"result": [
|
||||
[0.011, 0.001, 0.001],
|
||||
[0.040, 0.015, 0.013],
|
||||
[0.045, 0.021, 0.023],
|
||||
[0.090, 0.023, 0.023],
|
||||
[1.922, 1.565, 1.576],
|
||||
[0.961, 0.737, 0.739],
|
||||
[0.040, 0.023, 0.018],
|
||||
[0.032, 0.028, 0.028],
|
||||
[0.321, 0.287, 0.275],
|
||||
[0.632, 0.284, 0.287],
|
||||
[0.166, 0.124, 0.118],
|
||||
[0.235, 0.100, 0.102],
|
||||
[1.006, 0.182, 0.159],
|
||||
[1.637, 0.216, 0.213],
|
||||
[0.871, 0.174, 0.177],
|
||||
[0.258, 0.148, 0.148],
|
||||
[1.804, 0.370, 0.358],
|
||||
[1.235, 0.275, 0.278],
|
||||
[3.143, 0.854, 0.815],
|
||||
[0.071, 0.024, 0.016],
|
||||
[8.816, 0.215, 0.155],
|
||||
[10.239, 0.203, 0.173],
|
||||
[19.179, 0.388, 0.357],
|
||||
[43.152, 0.824, 0.823],
|
||||
[1.821, 0.059, 0.052],
|
||||
[0.992, 0.045, 0.051],
|
||||
[2.539, 0.063, 0.058],
|
||||
[9.258, 0.300, 0.278],
|
||||
[7.923, 0.961, 0.936],
|
||||
[0.445, 0.431, 0.428],
|
||||
[1.367, 0.131, 0.113],
|
||||
[4.819, 0.205, 0.175],
|
||||
[3.808, 0.739, 0.726],
|
||||
[8.935, 0.607, 0.600],
|
||||
[8.988, 0.634, 0.615],
|
||||
[0.242, 0.220, 0.226],
|
||||
[0.075, 0.058, 0.056],
|
||||
[0.038, 0.028, 0.026],
|
||||
[0.043, 0.028, 0.021],
|
||||
[0.172, 0.127, 0.119],
|
||||
[0.028, 0.018, 0.017],
|
||||
[0.027, 0.019, 0.014],
|
||||
[0.018, 0.026, 0.015]
|
||||
]
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
QUERY_NUM=1
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(clickhouse-client --time --format=Null --query="$query" 2>&1 ||:)
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
|
||||
echo "${QUERY_NUM},${i},${RES}" >> result.csv
|
||||
done
|
||||
echo "],"
|
||||
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
done
|
||||
@ -1,39 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
bash -c "$(curl -L https://try.crate.io/)" > crate.log 2>&1 &
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y postgresql-client
|
||||
|
||||
psql -U crate -h localhost --no-password -t -c 'SELECT 1'
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
psql -U crate -h localhost --no-password -t < create.sql
|
||||
|
||||
psql -U crate -h localhost --no-password -t -c '\timing' -c "
|
||||
COPY hits
|
||||
FROM 'file://$(pwd)/hits.tsv'
|
||||
WITH
|
||||
(
|
||||
"delimiter"=e'\t',
|
||||
"format"='csv',
|
||||
"header"=false,
|
||||
"empty_string_as_null"=false
|
||||
)
|
||||
RETURN SUMMARY;"
|
||||
|
||||
# One record did not load:
|
||||
# 99997496
|
||||
# {"Missing closing quote for value\n at [Source: UNKNOWN; line: 1, column: 1069]":{"count":1,"line_numbers":[93557187]}}
|
||||
# Time: 10687056.069 ms (02:58:07.056)
|
||||
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
# For some queries it gives "Data too large".
|
||||
|
||||
du -bcs crate-*
|
||||
|
||||
cat log.txt | grep -oP 'Time: \d+\.\d+ ms|ERROR' | sed -r -e 's/Time: ([0-9]+\.[0-9]+) ms/\1/' |
|
||||
awk '{ if ($1 == "ERROR") { skip = 1 } else { if (i % 3 == 0) { printf "[" }; printf skip ? "null" : ($1 / 1000); if (i % 3 != 2) { printf "," } else { print "]," }; ++i; skip = 0; } }'
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate TIMESTAMP NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor TEXT NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "CrateDB",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "For some queries it gives \"Data too large\".",
|
||||
|
||||
"tags": ["Java", "column-oriented"],
|
||||
|
||||
"load_time": 10687,
|
||||
"data_size": 109636633416,
|
||||
|
||||
"result": [
|
||||
[0.008162,0.005118,0.002553],
|
||||
[0.350014,0.39977,0.133775],
|
||||
[2.58426,2.47192,2.59779],
|
||||
[2.12939,0.532981,0.507246],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[1.18488,1.06603,1.07219],
|
||||
[0.209264,0.073284,0.067912],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[1.68892,1.2866,1.47428],
|
||||
[1.62976,1.43073,1.26904],
|
||||
[12.7517,13.0334,13.2685],
|
||||
[18.8587,null,18.6951],
|
||||
[11.2982,11.2108,11.577],
|
||||
[20.2964,20.4035,19.1076],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[0.202044,0.010009,0.005566],
|
||||
[9.22964,4.54606,0.774149],
|
||||
[1.41673,1.09885,0.789775],
|
||||
[12.3933,8.06911,1.69671],
|
||||
[1.45018,0.969528,0.979718],
|
||||
[0.357589,0.14887,0.153326],
|
||||
[0.189282,0.133963,0.130279],
|
||||
[0.153222,0.140756,0.139861],
|
||||
[27.5195,19.6862,20.1825],
|
||||
[72.7575,68.2,67.1238],
|
||||
[144.533,146.579,152.144],
|
||||
[8.76866,9.00563,8.46917],
|
||||
[17.6652,16.6755,16.0558],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[42.2967,44.9621,44.4386],
|
||||
[0.786911,0.4904,0.508416],
|
||||
[0.602075,0.226261,0.182399],
|
||||
[0.131407,0.058958,0.054518],
|
||||
[0.954736,1.1361,1.14233],
|
||||
[0.23764,0.139109,0.134472],
|
||||
[0.110253,0.057695,0.056073],
|
||||
[0.124285,0.150479,0.066226]
|
||||
]
|
||||
}
|
||||
@ -1,13 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches
|
||||
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
psql -U crate -h localhost --no-password -t -c '\timing' -c "$query" | grep 'Time'
|
||||
done;
|
||||
done;
|
||||
@ -1,7 +0,0 @@
|
||||
It is written in Rust and is blazing.
|
||||
|
||||
Update from @BohuTANG:
|
||||
|
||||
> Thanks for the benchmark!
|
||||
> Databend is a cloud warehouse designed for object storage(like Amazon S3), not the local file system. The FS model is only used for testing for some cases, we didn't do any optimization, and we know it has some performance issues.
|
||||
> I believe that ClickHouse is also being designed for the cloud, and looking forward to the S3 benchmark results :)
|
||||
@ -1,105 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
mkdir databend && cd databend
|
||||
curl -LJO 'https://github.com/datafuselabs/databend/releases/download/v0.7.113-nightly/databend-v0.7.113-nightly-x86_64-unknown-linux-musl.tar.gz'
|
||||
tar xzvf 'databend-v0.7.113-nightly-x86_64-unknown-linux-musl.tar.gz'
|
||||
|
||||
echo 'dir = "metadata/_logs"
|
||||
admin_api_address = "127.0.0.1:8101"
|
||||
grpc_api_address = "127.0.0.1:9101"
|
||||
|
||||
[raft_config]
|
||||
id = 1
|
||||
single = true
|
||||
raft_dir = "metadata/datas"' > databend-meta.toml
|
||||
|
||||
./bin/databend-meta -c ./databend-meta.toml > meta.log 2>&1 &
|
||||
curl -I 'http://127.0.0.1:8101/v1/health'
|
||||
|
||||
echo '[log]
|
||||
level = "INFO"
|
||||
dir = "benddata/_logs"
|
||||
|
||||
[query]
|
||||
# For admin RESET API.
|
||||
admin_api_address = "127.0.0.1:8001"
|
||||
|
||||
# Metrics.
|
||||
metric_api_address = "127.0.0.1:7071"
|
||||
|
||||
# Cluster flight RPC.
|
||||
flight_api_address = "127.0.0.1:9091"
|
||||
|
||||
# Query MySQL Handler.
|
||||
mysql_handler_host = "127.0.0.1"
|
||||
mysql_handler_port = 3307
|
||||
|
||||
# Query ClickHouse Handler.
|
||||
clickhouse_handler_host = "127.0.0.1"
|
||||
clickhouse_handler_port = 9001
|
||||
|
||||
# Query ClickHouse HTTP Handler.
|
||||
clickhouse_http_handler_host = "127.0.0.1"
|
||||
clickhouse_http_handler_port = 8125
|
||||
|
||||
# Query HTTP Handler.
|
||||
http_handler_host = "127.0.0.1"
|
||||
http_handler_port = 8081
|
||||
|
||||
tenant_id = "tenant1"
|
||||
cluster_id = "cluster1"
|
||||
|
||||
[meta]
|
||||
# databend-meta grpc api address.
|
||||
address = "127.0.0.1:9101"
|
||||
username = "root"
|
||||
password = "root"
|
||||
|
||||
[storage]
|
||||
# fs|s3
|
||||
type = "fs"
|
||||
|
||||
[storage.fs]
|
||||
data_path = "benddata/datas"' > databend-query.toml
|
||||
|
||||
./bin/databend-query -c ./databend-query.toml > query.log 2>&1 &
|
||||
|
||||
curl https://clickhouse.com/ | sh
|
||||
sudo ./clickhouse install
|
||||
|
||||
# Load the data
|
||||
|
||||
curl 'http://default@localhost:8124/' --data-binary @create.sql
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.csv.gz'
|
||||
gzip -d hits.csv.gz
|
||||
|
||||
# Note: if I run
|
||||
# clickhouse-client --time --query "INSERT INTO hits FORMAT TSV" < hits.tsv
|
||||
# it panics:
|
||||
# ERROR common_tracing::panic_hook: panicked at 'called `Result::unwrap()` on an `Err` value: SendError
|
||||
|
||||
# Note: if I run
|
||||
# curl -XPUT 'http://root:@127.0.0.1:8000/v1/streaming_load' -H 'insert_sql: insert into hits format CSV' -H 'skip_header: 0' -H 'field_delimiter: ,' -H 'record_delimiter: \n' -F 'upload=@"./hits.csv"'
|
||||
# curl: (55) Send failure: Broken pipe
|
||||
|
||||
# This is not entirely correct, but starts to work:
|
||||
# curl -XPUT 'http://root:@127.0.0.1:8000/v1/streaming_load' -H 'insert_sql: insert into hits format TSV' -H 'skip_header: 0' -H 'field_delimiter: \t' -H 'record_delimiter: \n' -F 'upload=@"./hits.tsv"'
|
||||
# and fails after 7 minutes 38 seconds without loading any data:
|
||||
# Code: 4000, displayText = invalid data (Expected to have terminated string literal.) (while in processor thread 5).
|
||||
# the diagnostics is terrible.
|
||||
|
||||
head -n 90000000 hits.tsv > hits90m.tsv
|
||||
time curl -XPUT 'http://root:@127.0.0.1:8000/v1/streaming_load' -H 'insert_sql: insert into hits format TSV' -H 'skip_header: 0' -H 'field_delimiter: \t' -H 'record_delimiter: \n' -F 'upload=@"./hits90m.tsv"'
|
||||
|
||||
# {"id":"08f59e6c-2924-483e-bb96-cbcb458588f5","state":"SUCCESS","stats":{"rows":90000000,"bytes":73152552024},"error":null}
|
||||
# real 7m15.312s
|
||||
|
||||
du -bcs _data
|
||||
# 38714978944
|
||||
|
||||
# It does not support ClickHouse protocol well (it hangs on some queries if they are too long).
|
||||
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
# Note: divide every number by 0.9 as only 90% of the data was loaded successfully.
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
)
|
||||
CLUSTER BY (CounterID, EventDate, UserID, EventTime, WatchID);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Databend",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "Only 90% of data successfully loaded.",
|
||||
|
||||
"tags": ["Rust", "column-oriented", "ClickHouse derivative"],
|
||||
|
||||
"load_time": 484,
|
||||
"data_size": 43016643271,
|
||||
|
||||
"result": [
|
||||
[0.010087, 0.002961, 0.003271],
|
||||
[0.127964, 0.080012, 0.075741],
|
||||
[0.162388, 0.143967, 0.144762],
|
||||
[0.252904, 0.217471, 0.217369],
|
||||
[34.281026, 34.844158, 34.526942],
|
||||
[25.290307, 25.793068, 25.620563],
|
||||
[0.112484, 0.093867, 0.090891],
|
||||
[0.086604, 0.07796, 0.076448],
|
||||
[20.723203, 20.7483, 20.354869],
|
||||
[20.81994, 20.72446, 20.696573],
|
||||
[1.964378, 1.93559, 1.893824],
|
||||
[1.846866, 1.789111, 1.763664],
|
||||
[4.468158, 4.407959, 4.438036],
|
||||
[19.947276, 19.8859, 19.853514],
|
||||
[5.478573, 5.474461, 5.460604],
|
||||
[5.509521, 5.513413, 5.363123],
|
||||
[15.430359, 15.5406, 15.461211],
|
||||
[14.905998, 15.029721, 15.019642],
|
||||
[31.069663, 30.811763, 30.737336],
|
||||
[0.281067, 0.220021, 0.217741],
|
||||
[8.89374, 4.12692, 4.131689],
|
||||
[10.38448, 4.603694, 4.571757],
|
||||
[19.980572, 8.836322, 8.892694],
|
||||
[59.786474, 52.452881, 39.941988],
|
||||
[2.804019, 0.994794, 0.958224],
|
||||
[0.765299, 0.730434, 0.723964],
|
||||
[2.784648, 0.94665, 0.936684],
|
||||
[8.905027, 5.418438, 5.386109],
|
||||
[12.187652, 12.230066, 12.164123],
|
||||
[3.35748, 3.395991, 3.319434],
|
||||
[4.309389, 3.854977, 3.772506],
|
||||
[9.958201, 7.027432, 6.888253],
|
||||
[50.200569, 50.535126, 50.283066],
|
||||
[24.469412, 21.222713, 21.010188],
|
||||
[26.115852, 23.93507, 24.835342],
|
||||
[7.511517, 7.296179, 7.324549],
|
||||
[2.156784, 1.298258, 1.278441],
|
||||
[2.155447, 1.314499, 1.331237],
|
||||
[2.007053, 1.181676, 1.155612],
|
||||
[null, null, null],
|
||||
[0.485363, 0.420291, 0.416819],
|
||||
[0.372131, 0.322068, 0.323578],
|
||||
[null, null, null]
|
||||
]
|
||||
}
|
||||
@ -1,20 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
QUERY_NUM=1
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(curl -w 'Time: %{time_total}\n' http://default@localhost:8124/ -d "${query}" 2>&1 | grep -P '^Time: ' | sed 's/Time: //')
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
|
||||
echo "${QUERY_NUM},${i},${RES}" >> result.csv
|
||||
done
|
||||
echo "],"
|
||||
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
done
|
||||
@ -1,43 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt install -y openjdk-8-jdk python2
|
||||
sudo update-alternatives --config java
|
||||
|
||||
# Install
|
||||
|
||||
VERSION=0.23.0
|
||||
|
||||
wget -O"apache-druid-${VERSION}-bin.tar.gz" "https://dlcdn.apache.org/druid/${VERSION}/apache-druid-${VERSION}-bin.tar.gz"
|
||||
tar xf apache-druid-${VERSION}-bin.tar.gz
|
||||
./apache-druid-${VERSION}/bin/verify-java
|
||||
|
||||
# Have to increase indexer memory limit
|
||||
sed -i 's MaxDirectMemorySize=1g MaxDirectMemorySize=5g g' apache-druid-$VERSION/conf/druid/single-server/medium/middleManager/runtime.properties
|
||||
|
||||
# Disable cache to test query performance
|
||||
sed -i 's druid.historical.cache.useCache=true druid.historical.cache.useCache=false g' apache-druid-$VERSION/conf/druid/single-server/medium/historical/runtime.properties
|
||||
sed -i 's druid.historical.cache.populateCache=true druid.historical.cache.populateCache=false g' apache-druid-$VERSION/conf/druid/single-server/medium/historical/runtime.properties
|
||||
sed -i 's druid.processing.buffer.sizeBytes=500MiB druid.processing.buffer.sizeBytes=1000MiB g' apache-druid-$VERSION/conf/druid/single-server/medium/historical/runtime.properties
|
||||
|
||||
echo "druid.query.groupBy.maxMergingDictionarySize=5000000000" >> apache-druid-$VERSION/conf/druid/single-server/medium/historical/runtime.properties
|
||||
# Druid launcher does not start Druid as a daemon. Run it in background
|
||||
./apache-druid-${VERSION}/bin/start-single-server-medium &
|
||||
|
||||
# Load the data
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
./apache-druid-${VERSION}/bin/post-index-task --file ingest.json --url http://localhost:8081
|
||||
|
||||
# The command above will fail due to timeout but still continue to run in background.
|
||||
# The loading time should be checked from the logs.
|
||||
|
||||
# Run the queries
|
||||
./run.sh
|
||||
|
||||
# stop Druid services
|
||||
kill %1
|
||||
|
||||
du -bcs ./apache-druid-${VERSION}/var
|
||||
@ -1 +0,0 @@
|
||||
{"query": "SELECT COUNT(*) from hits"}
|
||||
@ -1,573 +0,0 @@
|
||||
{
|
||||
"type": "index_parallel",
|
||||
"spec": {
|
||||
"ioConfig": {
|
||||
"type": "index_parallel",
|
||||
"inputSource": {
|
||||
"type": "local",
|
||||
"baseDir": "../",
|
||||
"filter": "hits.tsv"
|
||||
},
|
||||
"inputFormat": {
|
||||
"type": "tsv",
|
||||
"findColumnsFromHeader": false,
|
||||
"columns": [
|
||||
"WatchID",
|
||||
"JavaEnable",
|
||||
"Title",
|
||||
"GoodEvent",
|
||||
"EventTime",
|
||||
"EventDate",
|
||||
"CounterID",
|
||||
"ClientIP",
|
||||
"RegionID",
|
||||
"UserID",
|
||||
"CounterClass",
|
||||
"OS",
|
||||
"UserAgent",
|
||||
"URL",
|
||||
"Referer",
|
||||
"IsRefresh",
|
||||
"RefererCategoryID",
|
||||
"RefererRegionID",
|
||||
"URLCategoryID",
|
||||
"URLRegionID",
|
||||
"ResolutionWidth",
|
||||
"ResolutionHeight",
|
||||
"ResolutionDepth",
|
||||
"FlashMajor",
|
||||
"FlashMinor",
|
||||
"FlashMinor2",
|
||||
"NetMajor",
|
||||
"NetMinor",
|
||||
"UserAgentMajor",
|
||||
"UserAgentMinor",
|
||||
"CookieEnable",
|
||||
"JavascriptEnable",
|
||||
"IsMobile",
|
||||
"MobilePhone",
|
||||
"MobilePhoneModel",
|
||||
"Params",
|
||||
"IPNetworkID",
|
||||
"TraficSourceID",
|
||||
"SearchEngineID",
|
||||
"SearchPhrase",
|
||||
"AdvEngineID",
|
||||
"IsArtifical",
|
||||
"WindowClientWidth",
|
||||
"WindowClientHeight",
|
||||
"ClientTimeZone",
|
||||
"ClientEventTime",
|
||||
"SilverlightVersion1",
|
||||
"SilverlightVersion2",
|
||||
"SilverlightVersion3",
|
||||
"SilverlightVersion4",
|
||||
"PageCharset",
|
||||
"CodeVersion",
|
||||
"IsLink",
|
||||
"IsDownload",
|
||||
"IsNotBounce",
|
||||
"FUniqID",
|
||||
"OriginalURL",
|
||||
"HID",
|
||||
"IsOldCounter",
|
||||
"IsEvent",
|
||||
"IsParameter",
|
||||
"DontCountHits",
|
||||
"WithHash",
|
||||
"HitColor",
|
||||
"LocalEventTime",
|
||||
"Age",
|
||||
"Sex",
|
||||
"Income",
|
||||
"Interests",
|
||||
"Robotness",
|
||||
"RemoteIP",
|
||||
"WindowName",
|
||||
"OpenerName",
|
||||
"HistoryLength",
|
||||
"BrowserLanguage",
|
||||
"BrowserCountry",
|
||||
"SocialNetwork",
|
||||
"SocialAction",
|
||||
"HTTPError",
|
||||
"SendTiming",
|
||||
"DNSTiming",
|
||||
"ConnectTiming",
|
||||
"ResponseStartTiming",
|
||||
"ResponseEndTiming",
|
||||
"FetchTiming",
|
||||
"SocialSourceNetworkID",
|
||||
"SocialSourcePage",
|
||||
"ParamPrice",
|
||||
"ParamOrderID",
|
||||
"ParamCurrency",
|
||||
"ParamCurrencyID",
|
||||
"OpenstatServiceName",
|
||||
"OpenstatCampaignID",
|
||||
"OpenstatAdID",
|
||||
"OpenstatSourceID",
|
||||
"UTMSource",
|
||||
"UTMMedium",
|
||||
"UTMCampaign",
|
||||
"UTMContent",
|
||||
"UTMTerm",
|
||||
"FromTag",
|
||||
"HasGCLID",
|
||||
"RefererHash",
|
||||
"URLHash",
|
||||
"CLID"
|
||||
]
|
||||
}
|
||||
},
|
||||
"tuningConfig": {
|
||||
"type": "index_parallel",
|
||||
"partitionsSpec": {
|
||||
"type": "hashed",
|
||||
"partitionDimensions": [
|
||||
"CounterID",
|
||||
"EventDate",
|
||||
"UserID",
|
||||
"EventTime",
|
||||
"WatchID"
|
||||
]
|
||||
},
|
||||
"forceGuaranteedRollup": true,
|
||||
"logParseExceptions": true,
|
||||
"maxParseExceptions": 1,
|
||||
"maxNumConcurrentSubTasks": 10
|
||||
},
|
||||
"dataSchema": {
|
||||
"dataSource": "hits",
|
||||
"timestampSpec": {
|
||||
"column": "EventTime",
|
||||
"format": "yyyy-MM-dd HH:mm:ss"
|
||||
},
|
||||
"dimensionsSpec": {
|
||||
"dimensions": [
|
||||
{
|
||||
"name": "WatchID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "JavaEnable",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "Title",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "GoodEvent",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "EventDate",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "CounterID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ClientIP",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "RegionID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "UserID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "CounterClass",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "OS",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "UserAgent",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "URL",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "Referer",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "IsRefresh",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "RefererCategoryID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "RefererRegionID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "URLCategoryID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "URLRegionID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ResolutionWidth",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ResolutionHeight",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ResolutionDepth",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "FlashMajor",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "FlashMinor",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "FlashMinor2",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "NetMajor",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "NetMinor",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "UserAgentMajor",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "UserAgentMinor",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "CookieEnable",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "JavascriptEnable",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsMobile",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "MobilePhone",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "MobilePhoneModel",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "Params",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "IPNetworkID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "TraficSourceID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SearchEngineID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SearchPhrase",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "AdvEngineID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsArtifical",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "WindowClientWidth",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "WindowClientHeight",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ClientTimeZone",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ClientEventTime",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "SilverlightVersion1",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SilverlightVersion2",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SilverlightVersion3",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SilverlightVersion4",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "PageCharset",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "CodeVersion",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsLink",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsDownload",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsNotBounce",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "FUniqID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "OriginalURL",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "HID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsOldCounter",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsEvent",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "IsParameter",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "DontCountHits",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "WithHash",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "HitColor",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "LocalEventTime",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "Age",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "Sex",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "Income",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "Interests",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "Robotness",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "RemoteIP",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "WindowName",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "OpenerName",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "HistoryLength",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "BrowserLanguage",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "BrowserCountry",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "SocialNetwork",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "SocialAction",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "HTTPError",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SendTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "DNSTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ConnectTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ResponseStartTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ResponseEndTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "FetchTiming",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SocialSourceNetworkID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "SocialSourcePage",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "ParamPrice",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "ParamOrderID",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "ParamCurrency",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "ParamCurrencyID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "OpenstatServiceName",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "OpenstatCampaignID",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "OpenstatAdID",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "OpenstatSourceID",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "UTMSource",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "UTMMedium",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "UTMCampaign",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "UTMContent",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "UTMTerm",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "FromTag",
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"name": "HasGCLID",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "RefererHash",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "URLHash",
|
||||
"type": "long"
|
||||
},
|
||||
{
|
||||
"name": "CLID",
|
||||
"type": "long"
|
||||
}
|
||||
]
|
||||
},
|
||||
"granularitySpec": {
|
||||
"queryGranularity": "none",
|
||||
"rollup": false,
|
||||
"segmentGranularity": "day"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Druid",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "Druid is killed and restarted after every query. Otherwise some queries make Druid degraded and results are incorrect. For example after Q13 even SELECT 1 works for 7 seconds",
|
||||
|
||||
"tags": ["Java", "column-oriented"],
|
||||
|
||||
"load_time": 19620,
|
||||
"data_size": 45188608472,
|
||||
|
||||
"result": [
|
||||
[0.032365, 0.016716, 0.016921],
|
||||
[0.400766, 0.275591, 0.271057],
|
||||
[0.382350, 0.152084, 0.151652],
|
||||
[1.379492, 0.137201, 0.128902],
|
||||
[3.278731, 2.527105, 2.515128],
|
||||
[8.576382, 6.546540, 6.503001],
|
||||
[null, null, null],
|
||||
[0.563852, 0.273795, 0.275086],
|
||||
[11.509993, 10.636571, 10.597993],
|
||||
[13.357647, 12.421210, 12.337247],
|
||||
[1.636875, 0.821300, 0.900056],
|
||||
[1.692544, 0.512066, 0.440511],
|
||||
[2.453274, 1.769806, 1.807207],
|
||||
[8.503408, 7.261406, 7.334872],
|
||||
[61.056041, 59.251083, 59.500549],
|
||||
[8.620670, 8.236657, 8.225380],
|
||||
[164.840762, null, null],
|
||||
[24.165797, 22.308466, null],
|
||||
[null, null, null],
|
||||
[null, null, null],
|
||||
[25.973369, 25.597864, 25.602509],
|
||||
[null, null, null],
|
||||
[null, null, null],
|
||||
[7.805347, 6.629776, 6.947366],
|
||||
[0.257845, 0.020327, 0.016976],
|
||||
[null, null, null],
|
||||
[null, null, null],
|
||||
[32.948154, 31.046770, 29.221959],
|
||||
[null, null, null],
|
||||
[7.230865, 7.033713, 6.972421],
|
||||
[20.546250, 19.237428, 19.258469],
|
||||
[54.065945, 52.451318, 52.466653],
|
||||
[null, null, null],
|
||||
[17.499267, null, null],
|
||||
[null, null, null],
|
||||
[60.478315, 60.054940, 60.458946],
|
||||
[1.698088, 1.490317, 1.461969],
|
||||
[1.409572, 0.939003, 0.907252],
|
||||
[0.866729, 0.329539, 0.287435],
|
||||
[null, null, null],
|
||||
[0.932473, 0.420781, 0.359095],
|
||||
[0.723142, 0.325300, 0.296865],
|
||||
[0.603483, 0.150892, 0.140716]
|
||||
]
|
||||
}
|
||||
@ -1,23 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
for i in $(seq 1 100); do
|
||||
CHECK=$(curl -o /dev/null -w '%{http_code}' -s -XPOST -H'Content-Type: application/json' http://localhost:8888/druid/v2/sql/ -d @check.json })
|
||||
[[ "$CHECK" == "200" ]] && break
|
||||
sleep 1
|
||||
done
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
echo "{\"query\":\"$query\", \"context\": {\"timeout\": 1000000} }"| sed -e 's EventTime __time g' | tr -d ';' > query.json
|
||||
curl -w '%{http_code} %{time_total}\n' -s -XPOST -H'Content-Type: application/json' http://localhost:8888/druid/v2/sql/ -d @query.json | awk '{ if ($1!="200") { printf "null" } }'
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
done
|
||||
echo "],"
|
||||
|
||||
# Ugly hack to measure independently queries. Otherwise some queries make Druid degraded and results are incorrect. For example after Q13 even SELECT 1 works for 7 seconds
|
||||
pkill -f historical
|
||||
sleep 3
|
||||
done
|
||||
@ -1,2 +0,0 @@
|
||||
DuckDB cannot load parquet file due to OOM.
|
||||
The only option is to load a CSV file, but sometimes it also fails with OOM.
|
||||
@ -1,24 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Install
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y python3-pip
|
||||
pip install duckdb psutil
|
||||
|
||||
# Load the data
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.csv.gz'
|
||||
gzip -d hits.csv.gz
|
||||
|
||||
./load.py
|
||||
# 4216.5390389899985 seconds
|
||||
|
||||
# Run the queries
|
||||
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
wc -c my-db.duckdb
|
||||
|
||||
cat log.txt | grep -P '^\d|Killed|Segmentation' | sed -r -e 's/^.*(Killed|Segmentation).*$/null\nnull\nnull/' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
@ -1,109 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT,
|
||||
Referer TEXT,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT,
|
||||
Params TEXT,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT,
|
||||
BrowserCountry TEXT,
|
||||
SocialNetwork TEXT,
|
||||
SocialAction TEXT,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT,
|
||||
ParamCurrency TEXT,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT,
|
||||
OpenstatCampaignID TEXT,
|
||||
OpenstatAdID TEXT,
|
||||
OpenstatSourceID TEXT,
|
||||
UTMSource TEXT,
|
||||
UTMMedium TEXT,
|
||||
UTMCampaign TEXT,
|
||||
UTMContent TEXT,
|
||||
UTMTerm TEXT,
|
||||
FromTag TEXT,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL,
|
||||
PRIMARY KEY (CounterID, EventDate, UserID, EventTime, WatchID)
|
||||
);
|
||||
@ -1,18 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import duckdb
|
||||
import timeit
|
||||
import psutil
|
||||
|
||||
con = duckdb.connect(database="my-db.duckdb", read_only=False)
|
||||
# See https://github.com/duckdb/duckdb/issues/3969
|
||||
con.execute("PRAGMA memory_limit='{}b'".format(psutil.virtual_memory().total / 4))
|
||||
con.execute("PRAGMA threads={}".format(psutil.cpu_count(logical=False)))
|
||||
|
||||
print("Will load the data")
|
||||
|
||||
start = timeit.default_timer()
|
||||
con.execute(open("create.sql").read())
|
||||
con.execute("INSERT INTO hits SELECT * FROM read_csv_auto('hits.csv')")
|
||||
end = timeit.default_timer()
|
||||
print(end - start)
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,20 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import duckdb
|
||||
import timeit
|
||||
import psutil
|
||||
import sys
|
||||
|
||||
query = sys.stdin.read()
|
||||
print(query)
|
||||
|
||||
con = duckdb.connect(database="my-db.duckdb", read_only=False)
|
||||
# See https://github.com/duckdb/duckdb/issues/3969
|
||||
con.execute("PRAGMA memory_limit='{}b'".format(psutil.virtual_memory().total / 4))
|
||||
con.execute("PRAGMA threads={}".format(psutil.cpu_count(logical=False)))
|
||||
|
||||
for try_num in range(3):
|
||||
start = timeit.default_timer()
|
||||
con.execute(query)
|
||||
end = timeit.default_timer()
|
||||
print(end - start)
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "DuckDB",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "Many queries triggered OOM",
|
||||
|
||||
"tags": ["C", "column-oriented", "embedded"],
|
||||
|
||||
"load_time": 4217,
|
||||
"data_size": 27241492480,
|
||||
|
||||
"result": [
|
||||
[0.005694353996659629,0.003944558004150167,0.003837226002360694],
|
||||
[0.16991353100456763,0.03919722700084094,0.03835860399703961],
|
||||
[0.44898432699847035,0.04947217500011902,0.04852217998995911],
|
||||
[0.07586832098604646,0.07051395199960098,0.07007493599667214],
|
||||
[9.554053236002801,8.153356187991449,8.73448242500308],
|
||||
[7.66042533799191,6.931124911992811,7.103380946995458],
|
||||
[0.030703739990713075,0.027668555994750932,0.027583695002249442],
|
||||
[0.1778664360026596,0.03942437999648973,0.03882004099432379],
|
||||
[8.53439180701389,8.869582625004114,9.020313234999776],
|
||||
[10.40215514000738,11.125320470004226,8.941559945000336],
|
||||
[1.1747649609897053,1.04221136700653,1.004799570000614],
|
||||
[1.2380354650085792,1.1211603130068397,2.4278587239969056],
|
||||
[3.1751541379926493,0.9360461989999749,0.8868292279948946],
|
||||
[6.855684430003748,7.300301584007684,5.712960822012974],
|
||||
[3.70588762400439,1.0249276379909134,0.9473389159975341],
|
||||
[2.1037107890006155,1.6215517020027619,1.5671920729946578],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[0.0002772739971987903,0.00016792300448287278,0.0001574420020915568],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[2.9310110910009826,0.19020285899750888,0.1736805049877148],
|
||||
[2.939304119994631,0.18754731099761557,0.18073286200524308],
|
||||
[2.8706370779982535,0.18822155400994234,0.17905898999015335],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[0.884408778991201,0.714329167996766,0.7135983259940986],
|
||||
[5.3762675570033025,0.8803737630078103,0.8728962720051641],
|
||||
[7.249190265996731,2.9648747390019707,2.866687831003219],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[4.515183198003797,4.030519469000865,4.014251719010645],
|
||||
[0.11604027298744768,0.040539135996368714,0.04280066800129134],
|
||||
[0.0457908230018802,0.021069509006338194,0.019683108999743126],
|
||||
[0.0680370800109813,0.011889394998434,0.01056639499438461],
|
||||
[0.22029169600864407,0.08547276000899728,0.09095505000732373],
|
||||
[0.03759863799496088,0.008373684002435766,0.007633563989656977],
|
||||
[0.025631797994719818,0.008081699008471332,0.007858585988287814],
|
||||
[0.034359957004198804,0.025543516996549442,0.02533275399764534]
|
||||
]
|
||||
}
|
||||
@ -1,10 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
|
||||
# We need to restart and reinitialize DuckDB after every query,
|
||||
# because it often fails with Segmentation fault (core dumped)
|
||||
./query.py <<< "${query}"
|
||||
done
|
||||
@ -1 +0,0 @@
|
||||
Incomplete.
|
||||
@ -1,30 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo gpg --dearmor -o /usr/share/keyrings/elasticsearch-keyring.gpg
|
||||
sudo apt-get update && sudo apt-get install -y apt-transport-https
|
||||
echo "deb [signed-by=/usr/share/keyrings/elasticsearch-keyring.gpg] https://artifacts.elastic.co/packages/8.x/apt stable main" | sudo tee /etc/apt/sources.list.d/elastic-8.x.list
|
||||
sudo apt-get update && sudo apt-get install -y elasticsearch
|
||||
|
||||
sudo systemctl start elasticsearch.service
|
||||
sudo /usr/share/elasticsearch/bin/elasticsearch-reset-password -u elastic
|
||||
|
||||
# Example:
|
||||
# User: elastic
|
||||
# Password: C0Qq9kNYMUunKTXMDOUZ
|
||||
|
||||
export PASSWORD='...'
|
||||
|
||||
curl -k -XGET 'https://localhost:9200' -u "elastic:${PASSWORD}"
|
||||
|
||||
# This will create an index.
|
||||
curl -k -XPUT -u "elastic:${PASSWORD}" 'https://localhost:9200/hits'
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.json.gz'
|
||||
gzip -d hits.json.gz
|
||||
|
||||
# Prevent 'curl' from OOM.
|
||||
|
||||
split -l 1000000000 hits.json hits_
|
||||
for table in hits_*; do mv ${table} ${table}.json; done
|
||||
|
||||
time for table in hits_*; do curl -k -H "Transfer-Encoding: chunked" -XPOST -u "elastic:${PASSWORD}" 'https://localhost:9200/_bulk' -T ${table}; done
|
||||
@ -1,3 +0,0 @@
|
||||
EXASOL does not allow using the community edition for more than 10 GiB data, therefore testing is not possible. I advise you not to trust the unfounded claims of performance.
|
||||
|
||||
https://github.com/exasol/docker-db
|
||||
@ -1,23 +0,0 @@
|
||||
#!/bin/bash -e
|
||||
|
||||
# This script will substitute the benchmark results into the HTML page.
|
||||
# Note: editing HTML with sed may look strange, but at least we avoid using node.js and npm, and that's good.
|
||||
|
||||
(
|
||||
sed '/^const data = \[$/q' index.html
|
||||
|
||||
FIRST=1
|
||||
ls -1 */results/*.json | while read file
|
||||
do
|
||||
[ "${FIRST}" = "0" ] && echo -n ','
|
||||
jq --compact-output ". += {\"source\": \"${file}\"}" "${file}"
|
||||
FIRST=0
|
||||
done
|
||||
|
||||
echo ']; // end of data'
|
||||
sed '0,/^\]; \/\/ end of data$/d' index.html
|
||||
|
||||
) > index.html.new
|
||||
|
||||
mv index.html index.html.bak
|
||||
mv index.html.new index.html
|
||||
@ -1,73 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# NOTE: it requires Ubuntu 18.04
|
||||
# Greenplum does not install on any newer system.
|
||||
|
||||
echo "This script must be run from gpadmin user. Press enter to continue."
|
||||
read
|
||||
sudo apt update
|
||||
sudo apt install -y software-properties-common
|
||||
sudo add-apt-repository ppa:greenplum/db
|
||||
sudo apt update
|
||||
sudo apt install greenplum-db-6
|
||||
sudo rm -rf /gpmaster /gpdata*
|
||||
ssh-keygen -t rsa -b 4096
|
||||
cat /home/gpadmin/.ssh/id_rsa.pub >> /home/gpadmin/.ssh/authorized_keys
|
||||
mod 600 ~/.ssh/authorized_keys
|
||||
sudo echo "# kernel.shmall = _PHYS_PAGES / 2 # See Shared Memory Pages
|
||||
kernel.shmall = 197951838
|
||||
# kernel.shmmax = kernel.shmall * PAGE_SIZE
|
||||
kernel.shmmax = 810810728448
|
||||
kernel.shmmni = 4096
|
||||
vm.overcommit_memory = 2 # See Segment Host Memory
|
||||
vm.overcommit_ratio = 95 # See Segment Host Memory
|
||||
|
||||
net.ipv4.ip_local_port_range = 10000 65535 # See Port Settings
|
||||
kernel.sem = 500 2048000 200 4096
|
||||
kernel.sysrq = 1
|
||||
kernel.core_uses_pid = 1
|
||||
kernel.msgmnb = 65536
|
||||
kernel.msgmax = 65536
|
||||
kernel.msgmni = 2048
|
||||
net.ipv4.tcp_syncookies = 1
|
||||
net.ipv4.conf.default.accept_source_route = 0
|
||||
net.ipv4.tcp_max_syn_backlog = 4096
|
||||
net.ipv4.conf.all.arp_filter = 1
|
||||
net.core.netdev_max_backlog = 10000
|
||||
net.core.rmem_max = 2097152
|
||||
net.core.wmem_max = 2097152
|
||||
vm.swappiness = 10
|
||||
vm.zone_reclaim_mode = 0
|
||||
vm.dirty_expire_centisecs = 500
|
||||
vm.dirty_writeback_centisecs = 100
|
||||
vm.dirty_background_ratio = 0 # See System Memory
|
||||
vm.dirty_ratio = 0
|
||||
vm.dirty_background_bytes = 1610612736
|
||||
vm.dirty_bytes = 4294967296" |sudo tee -a /etc/sysctl.conf
|
||||
sudo sysctl -p
|
||||
|
||||
echo "* soft nofile 524288
|
||||
* hard nofile 524288
|
||||
* soft nproc 131072
|
||||
* hard nproc 131072" |sudo tee -a /etc/security/limits.conf
|
||||
echo "RemoveIPC=no" |sudo tee -a /etc/systemd/logind.conf
|
||||
echo "Now you need to reboot the machine. Press Enter if you already rebooted, or reboot now and run the script once again"
|
||||
read
|
||||
source /opt/greenplum-db-*.0/greenplum_path.sh
|
||||
cp $GPHOME/docs/cli_help/gpconfigs/gpinitsystem_singlenode .
|
||||
echo localhost > ./hostlist_singlenode
|
||||
sed -i "s/MASTER_HOSTNAME=[a-z_]*/MASTER_HOSTNAME=$(hostname)/" gpinitsystem_singlenode
|
||||
sed -i "s@declare -a DATA_DIRECTORY=(/gpdata1 /gpdata2)@declare -a DATA_DIRECTORY=(/gpdata1 /gpdata2 /gpdata3 /gpdata4 /gpdata5 /gpdata6 /gpdata7 /gpdata8 /gpdata9 /gpdata10 /gpdata11 /gpdata12 /gpdata13 /gpdata14)@" gpinitsystem_singlenode
|
||||
sudo mkdir /gpmaster /gpdata1 /gpdata2 /gpdata3 /gpdata4 /gpdata5 /gpdata6 /gpdata7 /gpdata8 /gpdata9 /gpdata10 /gpdata11 /gpdata12 /gpdata13 /gpdata14
|
||||
sudo chmod 777 /gpmaster /gpdata1 /gpdata2 /gpdata3 /gpdata4 /gpdata5 /gpdata6 /gpdata7 /gpdata8 /gpdata9 /gpdata10 /gpdata11 /gpdata12 /gpdata13 /gpdata14
|
||||
gpinitsystem -ac gpinitsystem_singlenode
|
||||
export MASTER_DATA_DIRECTORY=/gpmaster/gpsne-1/
|
||||
#wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
#gzip -d hits.tsv.gz
|
||||
chmod 777 ~ hits.tsv
|
||||
psql -d postgres -f create.sql
|
||||
nohup gpfdist &
|
||||
time psql -d postgres -t -c '\timing' -c "insert into hits select * from hits_ext;"
|
||||
du -sh /gpdata*
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
cat log.txt | grep -oP 'Time: \d+\.\d+ ms' | sed -r -e 's/Time: ([0-9]+\.[0-9]+) ms/\1/' |awk '{ if (i % 3 == 0) { printf "[" }; printf $1 / 1000; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
@ -1,116 +0,0 @@
|
||||
drop table if exists hits;
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
)
|
||||
with (appendoptimized=true,orientation=column,compresstype=zstd)
|
||||
DISTRIBUTED RANDOMLY;
|
||||
CREATE INDEX hits_idx on hits using btree (CounterID, EventDate, UserID, EventTime, WatchID);
|
||||
drop external table if exists hits_ext;
|
||||
CREATE EXTERNAL TABLE hits_ext (like hits)
|
||||
LOCATION ('gpfdist://localhost:8080/hits.tsv')
|
||||
FORMAT 'TEXT';
|
||||
@ -1,215 +0,0 @@
|
||||
3
|
||||
SELECT COUNT(*) FROM hits;
|
||||
Time: 2200.088 ms
|
||||
Time: 1458.828 ms
|
||||
Time: 1135.728 ms
|
||||
3
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
Time: 1286.610 ms
|
||||
Time: 1078.970 ms
|
||||
Time: 1018.564 ms
|
||||
3
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
Time: 2258.198 ms
|
||||
Time: 2421.929 ms
|
||||
Time: 2596.925 ms
|
||||
3
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
Time: 1893.709 ms
|
||||
Time: 1924.597 ms
|
||||
Time: 1738.663 ms
|
||||
3
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
Time: 9544.705 ms
|
||||
Time: 9719.561 ms
|
||||
Time: 10035.660 ms
|
||||
3
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
Time: 4559.571 ms
|
||||
Time: 4101.119 ms
|
||||
Time: 4704.585 ms
|
||||
3
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
Time: 1651.671 ms
|
||||
Time: 1897.668 ms
|
||||
Time: 1970.511 ms
|
||||
3
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
Time: 1025.366 ms
|
||||
Time: 999.323 ms
|
||||
Time: 1005.235 ms
|
||||
3
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
Time: 7897.922 ms
|
||||
Time: 7757.179 ms
|
||||
Time: 8012.193 ms
|
||||
3
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
Time: 11377.889 ms
|
||||
Time: 11600.291 ms
|
||||
Time: 11255.236 ms
|
||||
3
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
Time: 2119.548 ms
|
||||
Time: 2050.025 ms
|
||||
Time: 1955.304 ms
|
||||
3
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
Time: 2019.971 ms
|
||||
Time: 1979.324 ms
|
||||
Time: 1982.835 ms
|
||||
3
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
Time: 2886.663 ms
|
||||
Time: 2928.279 ms
|
||||
Time: 2968.219 ms
|
||||
3
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
Time: 4062.722 ms
|
||||
Time: 4017.708 ms
|
||||
Time: 4030.113 ms
|
||||
3
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
Time: 3463.033 ms
|
||||
Time: 3247.791 ms
|
||||
Time: 3064.752 ms
|
||||
3
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
Time: 8437.169 ms
|
||||
Time: 8186.413 ms
|
||||
Time: 7992.017 ms
|
||||
3
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
Time: 9021.759 ms
|
||||
Time: 8915.718 ms
|
||||
Time: 8927.481 ms
|
||||
3
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
Time: 8669.821 ms
|
||||
Time: 8393.315 ms
|
||||
Time: 8624.970 ms
|
||||
3
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
Time: 15132.099 ms
|
||||
Time: 14950.178 ms
|
||||
Time: 15234.422 ms
|
||||
3
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
Time: 1008.775 ms
|
||||
Time: 934.589 ms
|
||||
Time: 975.342 ms
|
||||
3
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
Time: 11058.183 ms
|
||||
Time: 3258.070 ms
|
||||
Time: 3176.875 ms
|
||||
3
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
Time: 12263.435 ms
|
||||
Time: 3518.802 ms
|
||||
Time: 3937.050 ms
|
||||
3
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
Time: 24152.214 ms
|
||||
Time: 4863.278 ms
|
||||
Time: 4887.644 ms
|
||||
3
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
Time: 67151.698 ms
|
||||
Time: 20400.002 ms
|
||||
Time: 20261.041 ms
|
||||
3
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
Time: 2579.895 ms
|
||||
Time: 1661.144 ms
|
||||
Time: 1904.318 ms
|
||||
3
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
Time: 1728.308 ms
|
||||
Time: 1895.359 ms
|
||||
Time: 1251.501 ms
|
||||
3
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
Time: 2441.544 ms
|
||||
Time: 1465.950 ms
|
||||
Time: 1882.380 ms
|
||||
3
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
Time: 11117.452 ms
|
||||
Time: 6095.514 ms
|
||||
Time: 6022.919 ms
|
||||
3
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www.)?([^/]+)/.*$', '1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
Time: 83040.984 ms
|
||||
Time: 82978.396 ms
|
||||
Time: 82867.763 ms
|
||||
3
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
Time: 82544.095 ms
|
||||
Time: 82542.673 ms
|
||||
Time: 83983.646 ms
|
||||
3
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
Time: 3096.198 ms
|
||||
Time: 3222.251 ms
|
||||
Time: 3194.314 ms
|
||||
3
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
Time: 5775.759 ms
|
||||
Time: 4059.735 ms
|
||||
Time: 4003.655 ms
|
||||
3
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
Time: 43682.613 ms
|
||||
Time: 40437.523 ms
|
||||
Time: 40107.640 ms
|
||||
3
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
Time: 18097.819 ms
|
||||
Time: 13274.130 ms
|
||||
Time: 12889.385 ms
|
||||
3
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
Time: 17318.672 ms
|
||||
Time: 13541.070 ms
|
||||
Time: 13592.715 ms
|
||||
3
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
Time: 9724.053 ms
|
||||
Time: 9900.294 ms
|
||||
Time: 10017.686 ms
|
||||
3
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
Time: 294.344 ms
|
||||
Time: 169.606 ms
|
||||
Time: 173.804 ms
|
||||
3
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
Time: 162.524 ms
|
||||
Time: 117.489 ms
|
||||
Time: 115.532 ms
|
||||
3
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
Time: 145.205 ms
|
||||
Time: 98.342 ms
|
||||
Time: 97.275 ms
|
||||
3
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
Time: 334.809 ms
|
||||
Time: 275.365 ms
|
||||
Time: 265.053 ms
|
||||
3
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
Time: 154.522 ms
|
||||
Time: 107.654 ms
|
||||
Time: 105.290 ms
|
||||
3
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
Time: 158.957 ms
|
||||
Time: 117.284 ms
|
||||
Time: 119.068 ms
|
||||
3
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
Time: 193.756 ms
|
||||
Time: 144.787 ms
|
||||
Time: 145.485 ms
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Greenplum",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "",
|
||||
|
||||
"tags": ["C", "column-oriented", "PostgreSQL compatible"],
|
||||
|
||||
"load_time": 1080,
|
||||
"data_size": 42000000000,
|
||||
|
||||
"result": [
|
||||
[2.20009,1.45883,1.13573],
|
||||
[1.28661,1.07897,1.01856],
|
||||
[2.2582,2.42193,2.59693],
|
||||
[1.89371,1.9246,1.73866],
|
||||
[9.54471,9.71956,10.0357],
|
||||
[4.55957,4.10112,4.70458],
|
||||
[1.65167,1.89767,1.97051],
|
||||
[1.02537,0.999323,1.00524],
|
||||
[7.89792,7.75718,8.01219],
|
||||
[11.3779,11.6003,11.2552],
|
||||
[2.11955,2.05003,1.9553],
|
||||
[2.01997,1.97932,1.98284],
|
||||
[2.88666,2.92828,2.96822],
|
||||
[4.06272,4.01771,4.03011],
|
||||
[3.46303,3.24779,3.06475],
|
||||
[8.43717,8.18641,7.99202],
|
||||
[9.02176,8.91572,8.92748],
|
||||
[8.66982,8.39332,8.62497],
|
||||
[15.1321,14.9502,15.2344],
|
||||
[1.00877,0.934589,0.975342],
|
||||
[11.0582,3.25807,3.17687],
|
||||
[12.2634,3.5188,3.93705],
|
||||
[24.1522,4.86328,4.88764],
|
||||
[67.1517,20.4,20.261],
|
||||
[2.5799,1.66114,1.90432],
|
||||
[1.72831,1.89536,1.2515],
|
||||
[2.44154,1.46595,1.88238],
|
||||
[11.1175,6.09551,6.02292],
|
||||
[83.041,82.9784,82.8678],
|
||||
[82.5441,82.5427,83.9836],
|
||||
[3.0962,3.22225,3.19431],
|
||||
[5.77576,4.05973,4.00366],
|
||||
[43.6826,40.4375,40.1076],
|
||||
[18.0978,13.2741,12.8894],
|
||||
[17.3187,13.5411,13.5927],
|
||||
[9.72405,9.90029,10.0177],
|
||||
[0.294344,0.169606,0.173804],
|
||||
[0.162524,0.117489,0.115532],
|
||||
[0.145205,0.098342,0.097275],
|
||||
[0.334809,0.275365,0.265053],
|
||||
[0.154522,0.107654,0.10529],
|
||||
[0.158957,0.117284,0.119068],
|
||||
[0.193756,0.144787,0.145485]
|
||||
]
|
||||
}
|
||||
@ -1,15 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches
|
||||
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
echo '\timing' > /tmp/query_temp.sql
|
||||
echo "$query" >> /tmp/query_temp.sql
|
||||
psql -d postgres -t -f /tmp/query_temp.sql | grep 'Time'
|
||||
done;
|
||||
done;
|
||||
@ -1 +0,0 @@
|
||||
hardware/hardware.sh
|
||||
247
benchmark/hardware.sh
Executable file
247
benchmark/hardware.sh
Executable file
@ -0,0 +1,247 @@
|
||||
#!/bin/bash -e
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TRIES=3
|
||||
|
||||
mkdir -p clickhouse-benchmark
|
||||
pushd clickhouse-benchmark
|
||||
|
||||
# Download the binary
|
||||
if [[ ! -x clickhouse ]]; then
|
||||
curl https://clickhouse.com/ | sh
|
||||
fi
|
||||
|
||||
if [[ ! -f $QUERIES_FILE ]]; then
|
||||
wget "https://raw.githubusercontent.com/ClickHouse/ClickHouse/master/benchmark/hardware/$QUERIES_FILE"
|
||||
fi
|
||||
|
||||
uptime
|
||||
|
||||
echo "Starting clickhouse-server"
|
||||
|
||||
./clickhouse server >/dev/null 2>&1 &
|
||||
PID=$!
|
||||
|
||||
function finish {
|
||||
kill $PID
|
||||
wait
|
||||
}
|
||||
trap finish EXIT
|
||||
|
||||
echo "Waiting for clickhouse-server to start"
|
||||
|
||||
for i in {1..30}; do
|
||||
sleep 1
|
||||
./clickhouse client --query "SELECT 'Ok.'" 2>/dev/null && break || echo -n '.'
|
||||
if [[ $i == 30 ]]; then exit 1; fi
|
||||
done
|
||||
|
||||
if [[ $(./clickhouse client --query "EXISTS hits") == '1' && $(./clickhouse client --query "SELECT count() FROM hits") == '100000000' ]]; then
|
||||
echo "Dataset already downloaded"
|
||||
else
|
||||
echo "Will download the dataset"
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
./clickhouse client --receive_timeout 1000 --max_insert_threads $(sysctl -n hw.ncpu) --progress --query "
|
||||
CREATE OR REPLACE TABLE hits ENGINE = MergeTree PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID), EventTime)
|
||||
AS SELECT * FROM url('https://datasets.clickhouse.com/hits/native/hits_100m_obfuscated_{0..255}.native.zst')"
|
||||
else
|
||||
./clickhouse client --receive_timeout 1000 --max_insert_threads $(nproc || 4) --progress --query "
|
||||
CREATE OR REPLACE TABLE hits ENGINE = MergeTree PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID), EventTime)
|
||||
AS SELECT * FROM url('https://datasets.clickhouse.com/hits/native/hits_100m_obfuscated_{0..255}.native.zst')"
|
||||
fi
|
||||
./clickhouse client --query "SELECT 'The dataset size is: ', count() FROM hits"
|
||||
fi
|
||||
|
||||
if [[ $(./clickhouse client --query "SELECT count() FROM system.parts WHERE table = 'hits' AND database = 'default' AND active") == '1' ]]; then
|
||||
echo "Dataset already prepared"
|
||||
else
|
||||
echo "Will prepare the dataset"
|
||||
./clickhouse client --receive_timeout 1000 --query "OPTIMIZE TABLE hits FINAL"
|
||||
fi
|
||||
|
||||
echo
|
||||
echo "Will perform benchmark. Results:"
|
||||
echo
|
||||
|
||||
>result.csv
|
||||
QUERY_NUM=1
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s/{table}/hits/g" | while read query; do
|
||||
sync
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
sudo purge > /dev/null
|
||||
else
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
fi
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(./clickhouse client --time --format=Null --query="$query" 2>&1 ||:)
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
|
||||
echo "${QUERY_NUM},${i},${RES}" >> result.csv
|
||||
done
|
||||
echo "],"
|
||||
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
done
|
||||
|
||||
|
||||
echo
|
||||
echo "Benchmark complete. System info:"
|
||||
echo
|
||||
|
||||
touch {cpu_model,cpu,df,memory,memory_total,blk,mdstat,instance}.txt
|
||||
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
echo '----Version, build id-----------'
|
||||
./clickhouse local --query "SELECT format('Version: {}', version())"
|
||||
./clickhouse local --query "SELECT format('The number of threads is: {}', value) FROM system.settings WHERE name = 'max_threads'" --output-format TSVRaw
|
||||
./clickhouse local --query "SELECT format('Current time: {}', toString(now(), 'UTC'))"
|
||||
echo '----CPU-------------------------'
|
||||
sysctl hw.model | tee cpu_model.txt
|
||||
sysctl -a | grep -E 'hw.activecpu|hw.memsize|hw.byteorder|cachesize' | tee cpu.txt
|
||||
echo '----Disk Free and Total--------'
|
||||
df -h . | tee df.txt
|
||||
echo '----Memory Free and Total-------'
|
||||
vm_stat | tee memory.txt
|
||||
echo '----Physical Memory Amount------'
|
||||
ls -l /var/vm | tee memory_total.txt
|
||||
echo '--------------------------------'
|
||||
else
|
||||
echo '----Version, build id-----------'
|
||||
./clickhouse local --query "SELECT format('Version: {}, build id: {}', version(), buildId())"
|
||||
./clickhouse local --query "SELECT format('The number of threads is: {}', value) FROM system.settings WHERE name = 'max_threads'" --output-format TSVRaw
|
||||
./clickhouse local --query "SELECT format('Current time: {}', toString(now(), 'UTC'))"
|
||||
echo '----CPU-------------------------'
|
||||
cat /proc/cpuinfo | grep -i -F 'model name' | uniq | tee cpu_model.txt
|
||||
lscpu | tee cpu.txt
|
||||
echo '----Block Devices---------------'
|
||||
lsblk | tee blk.txt
|
||||
echo '----Disk Free and Total--------'
|
||||
df -h . | tee df.txt
|
||||
echo '----Memory Free and Total-------'
|
||||
free -h | tee memory.txt
|
||||
echo '----Physical Memory Amount------'
|
||||
cat /proc/meminfo | grep MemTotal | tee memory_total.txt
|
||||
echo '----RAID Info-------------------'
|
||||
cat /proc/mdstat| tee mdstat.txt
|
||||
echo '--------------------------------'
|
||||
fi
|
||||
echo
|
||||
|
||||
echo "Instance type from IMDS (if available):"
|
||||
curl -s --connect-timeout 1 'http://169.254.169.254/latest/meta-data/instance-type' | tee instance.txt
|
||||
echo
|
||||
|
||||
echo "Uploading the results (if possible)"
|
||||
|
||||
UUID=$(./clickhouse local --query "SELECT generateUUIDv4()")
|
||||
|
||||
./clickhouse local --query "
|
||||
SELECT
|
||||
'${UUID}' AS run_id,
|
||||
version() AS version,
|
||||
now() AS test_time,
|
||||
(SELECT value FROM system.settings WHERE name = 'max_threads') AS threads,
|
||||
filesystemCapacity() AS fs_capacity,
|
||||
filesystemAvailable() AS fs_available,
|
||||
file('cpu_model.txt') AS cpu_model,
|
||||
file('cpu.txt') AS cpu,
|
||||
file('df.txt') AS df,
|
||||
file('memory.txt') AS memory,
|
||||
file('memory_total.txt') AS memory_total,
|
||||
file('blk.txt') AS blk,
|
||||
file('mdstat.txt') AS mdstat,
|
||||
file('instance.txt') AS instance
|
||||
" | tee meta.tsv | ./clickhouse client --host play.clickhouse.com --secure --user benchmark --query "
|
||||
INSERT INTO benchmark_runs
|
||||
(run_id, version, test_time, threads, fs_capacity, fs_available, cpu_model, cpu, df, memory, memory_total, blk, mdstat, instance)
|
||||
FORMAT TSV" || echo "Cannot upload results."
|
||||
|
||||
./clickhouse local --query "
|
||||
SELECT
|
||||
'${UUID}' AS run_id,
|
||||
c1 AS query_num,
|
||||
c2 AS try_num,
|
||||
c3 AS time
|
||||
FROM file('result.csv')
|
||||
" | tee results.tsv | ./clickhouse client --host play.clickhouse.com --secure --user benchmark --query "
|
||||
INSERT INTO benchmark_results
|
||||
(run_id, query_num, try_num, time)
|
||||
FORMAT TSV" || echo "Cannot upload results. Please send the output to feedback@clickhouse.com"
|
||||
|
||||
<<////
|
||||
|
||||
Server Setup:
|
||||
|
||||
CREATE TABLE benchmark_runs
|
||||
(
|
||||
run_id UUID,
|
||||
version String,
|
||||
test_time DateTime,
|
||||
threads String,
|
||||
fs_capacity UInt64,
|
||||
fs_available UInt64,
|
||||
cpu_model String,
|
||||
cpu String,
|
||||
df String,
|
||||
memory String,
|
||||
memory_total String,
|
||||
blk String,
|
||||
mdstat String,
|
||||
instance String
|
||||
) ENGINE = ReplicatedMergeTree ORDER BY run_id;
|
||||
|
||||
CREATE TABLE benchmark_results
|
||||
(
|
||||
run_id UUID,
|
||||
query_num UInt8,
|
||||
try_num UInt8,
|
||||
time Decimal32(3)
|
||||
) ENGINE = ReplicatedMergeTree ORDER BY (run_id, query_num, try_num);
|
||||
|
||||
CREATE USER benchmark IDENTIFIED WITH no_password SETTINGS max_rows_to_read = 1, max_result_rows = 1, max_execution_time = 1;
|
||||
|
||||
CREATE QUOTA benchmark
|
||||
KEYED BY ip_address
|
||||
FOR RANDOMIZED INTERVAL 1 MINUTE MAX query_inserts = 4, written_bytes = 100000,
|
||||
FOR RANDOMIZED INTERVAL 1 HOUR MAX query_inserts = 10, written_bytes = 500000,
|
||||
FOR RANDOMIZED INTERVAL 1 DAY MAX query_inserts = 50, written_bytes = 2000000
|
||||
TO benchmark;
|
||||
|
||||
GRANT INSERT ON benchmark_runs TO benchmark;
|
||||
GRANT INSERT ON benchmark_results TO benchmark;
|
||||
|
||||
Example query:
|
||||
|
||||
SELECT
|
||||
cpu_model,
|
||||
threads,
|
||||
instance,
|
||||
k
|
||||
FROM
|
||||
(
|
||||
SELECT
|
||||
run_id,
|
||||
exp(avg(log(adjusted_time / best_time))) AS k
|
||||
FROM
|
||||
(
|
||||
WITH greatest(time, 0.01) AS adjusted_time
|
||||
SELECT
|
||||
run_id,
|
||||
adjusted_time,
|
||||
min(adjusted_time) OVER (PARTITION BY query_num, try_num) AS best_time
|
||||
FROM benchmark_results
|
||||
WHERE try_num > 1
|
||||
)
|
||||
GROUP BY run_id
|
||||
ORDER BY k ASC
|
||||
) AS t
|
||||
INNER JOIN benchmark_runs USING (run_id)
|
||||
|
||||
////
|
||||
@ -1,22 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TABLE=$1
|
||||
TRIES=3
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s|{table}|\"${TABLE}\"|g" | while read query; do
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
while true; do
|
||||
RES=$(command time -f %e -o /dev/stdout curl -sS -G --data-urlencode "query=$query" --data "default_format=Null&max_memory_usage=100000000000&max_memory_usage_for_all_queries=100000000000&max_concurrent_queries_for_user=100&database=*$YT_CLIQUE_ID" --location-trusted -H "Authorization: OAuth $YT_TOKEN" "$YT_PROXY.yt.yandex.net/query" 2>/dev/null);
|
||||
if [[ $? == 0 ]]; then
|
||||
[[ $RES =~ 'fail|Exception' ]] || break;
|
||||
fi
|
||||
done
|
||||
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
done
|
||||
echo "],"
|
||||
done
|
||||
@ -1,29 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TABLE=$1
|
||||
TRIES=3
|
||||
|
||||
if [ -x ./clickhouse ]
|
||||
then
|
||||
CLICKHOUSE_CLIENT="./clickhouse client"
|
||||
elif command -v clickhouse-client >/dev/null 2>&1
|
||||
then
|
||||
CLICKHOUSE_CLIENT="clickhouse-client"
|
||||
else
|
||||
echo "clickhouse-client is not found"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s/{table}/${TABLE}/g" | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(${CLICKHOUSE_CLIENT} --time --format=Null --max_memory_usage=100G --query="$query" 2>&1)
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
done
|
||||
echo "],"
|
||||
done
|
||||
@ -1,19 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TABLE=$1
|
||||
TRIES=3
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s|{table}|\"${TABLE}\"|g" | while read query; do
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
while true; do
|
||||
RES=$(command time -f %e -o time ./yql --clickhouse --syntax-version 1 -f empty <<< "USE chyt.hume; PRAGMA max_memory_usage = 100000000000; PRAGMA max_memory_usage_for_all_queries = 100000000000; $query" >/dev/null 2>&1 && cat time) && break;
|
||||
done
|
||||
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
done
|
||||
echo "],"
|
||||
done
|
||||
@ -1,43 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TABLE=$1
|
||||
TRIES=3
|
||||
|
||||
PARAMS="--host ... --secure --password ..."
|
||||
|
||||
if [ -x ./clickhouse ]
|
||||
then
|
||||
CLICKHOUSE_CLIENT="./clickhouse client"
|
||||
elif command -v clickhouse-client >/dev/null 2>&1
|
||||
then
|
||||
CLICKHOUSE_CLIENT="clickhouse-client"
|
||||
else
|
||||
echo "clickhouse-client is not found"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
QUERY_ID_PREFIX="benchmark_$RANDOM"
|
||||
QUERY_NUM=1
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s/{table}/${TABLE}/g" | while read query
|
||||
do
|
||||
for i in $(seq 1 $TRIES)
|
||||
do
|
||||
QUERY_ID="${QUERY_ID_PREFIX}_${QUERY_NUM}_${i}"
|
||||
${CLICKHOUSE_CLIENT} ${PARAMS} --query_id "${QUERY_ID}" --format=Null --max_memory_usage=100G --query="$query"
|
||||
echo -n '.'
|
||||
done
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
echo
|
||||
done
|
||||
|
||||
sleep 10
|
||||
|
||||
${CLICKHOUSE_CLIENT} ${PARAMS} --query "
|
||||
WITH extractGroups(query_id, '(\d+)_(\d+)\$') AS num_run, num_run[1]::UInt8 AS num, num_run[2]::UInt8 AS run
|
||||
SELECT groupArrayInsertAt(query_duration_ms / 1000, (run - 1)::UInt8)::String || ','
|
||||
FROM clusterAllReplicas(default, system.query_log)
|
||||
WHERE event_date >= yesterday() AND type = 2 AND query_id LIKE '${QUERY_ID_PREFIX}%'
|
||||
GROUP BY num ORDER BY num FORMAT TSV
|
||||
"
|
||||
@ -1,247 +0,0 @@
|
||||
#!/bin/bash -e
|
||||
|
||||
QUERIES_FILE="queries.sql"
|
||||
TRIES=3
|
||||
|
||||
mkdir -p clickhouse-benchmark
|
||||
pushd clickhouse-benchmark
|
||||
|
||||
# Download the binary
|
||||
if [[ ! -x clickhouse ]]; then
|
||||
curl https://clickhouse.com/ | sh
|
||||
fi
|
||||
|
||||
if [[ ! -f $QUERIES_FILE ]]; then
|
||||
wget "https://raw.githubusercontent.com/ClickHouse/ClickHouse/master/benchmark/hardware/$QUERIES_FILE"
|
||||
fi
|
||||
|
||||
uptime
|
||||
|
||||
echo "Starting clickhouse-server"
|
||||
|
||||
./clickhouse server >/dev/null 2>&1 &
|
||||
PID=$!
|
||||
|
||||
function finish {
|
||||
kill $PID
|
||||
wait
|
||||
}
|
||||
trap finish EXIT
|
||||
|
||||
echo "Waiting for clickhouse-server to start"
|
||||
|
||||
for i in {1..30}; do
|
||||
sleep 1
|
||||
./clickhouse client --query "SELECT 'Ok.'" 2>/dev/null && break || echo -n '.'
|
||||
if [[ $i == 30 ]]; then exit 1; fi
|
||||
done
|
||||
|
||||
if [[ $(./clickhouse client --query "EXISTS hits") == '1' && $(./clickhouse client --query "SELECT count() FROM hits") == '100000000' ]]; then
|
||||
echo "Dataset already downloaded"
|
||||
else
|
||||
echo "Will download the dataset"
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
./clickhouse client --receive_timeout 1000 --max_insert_threads $(sysctl -n hw.ncpu) --progress --query "
|
||||
CREATE OR REPLACE TABLE hits ENGINE = MergeTree PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID), EventTime)
|
||||
AS SELECT * FROM url('https://datasets.clickhouse.com/hits/native/hits_100m_obfuscated_{0..255}.native.zst')"
|
||||
else
|
||||
./clickhouse client --receive_timeout 1000 --max_insert_threads $(nproc || 4) --progress --query "
|
||||
CREATE OR REPLACE TABLE hits ENGINE = MergeTree PARTITION BY toYYYYMM(EventDate) ORDER BY (CounterID, EventDate, intHash32(UserID), EventTime)
|
||||
AS SELECT * FROM url('https://datasets.clickhouse.com/hits/native/hits_100m_obfuscated_{0..255}.native.zst')"
|
||||
fi
|
||||
./clickhouse client --query "SELECT 'The dataset size is: ', count() FROM hits"
|
||||
fi
|
||||
|
||||
if [[ $(./clickhouse client --query "SELECT count() FROM system.parts WHERE table = 'hits' AND database = 'default' AND active") == '1' ]]; then
|
||||
echo "Dataset already prepared"
|
||||
else
|
||||
echo "Will prepare the dataset"
|
||||
./clickhouse client --receive_timeout 1000 --query "OPTIMIZE TABLE hits FINAL"
|
||||
fi
|
||||
|
||||
echo
|
||||
echo "Will perform benchmark. Results:"
|
||||
echo
|
||||
|
||||
>result.csv
|
||||
QUERY_NUM=1
|
||||
|
||||
cat "$QUERIES_FILE" | sed "s/{table}/hits/g" | while read query; do
|
||||
sync
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
sudo purge > /dev/null
|
||||
else
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches >/dev/null
|
||||
fi
|
||||
|
||||
echo -n "["
|
||||
for i in $(seq 1 $TRIES); do
|
||||
RES=$(./clickhouse client --time --format=Null --query="$query" 2>&1 ||:)
|
||||
[[ "$?" == "0" ]] && echo -n "${RES}" || echo -n "null"
|
||||
[[ "$i" != $TRIES ]] && echo -n ", "
|
||||
|
||||
echo "${QUERY_NUM},${i},${RES}" >> result.csv
|
||||
done
|
||||
echo "],"
|
||||
|
||||
QUERY_NUM=$((QUERY_NUM + 1))
|
||||
done
|
||||
|
||||
|
||||
echo
|
||||
echo "Benchmark complete. System info:"
|
||||
echo
|
||||
|
||||
touch {cpu_model,cpu,df,memory,memory_total,blk,mdstat,instance}.txt
|
||||
|
||||
if [ "`uname`" = "Darwin" ]
|
||||
then
|
||||
echo '----Version, build id-----------'
|
||||
./clickhouse local --query "SELECT format('Version: {}', version())"
|
||||
./clickhouse local --query "SELECT format('The number of threads is: {}', value) FROM system.settings WHERE name = 'max_threads'" --output-format TSVRaw
|
||||
./clickhouse local --query "SELECT format('Current time: {}', toString(now(), 'UTC'))"
|
||||
echo '----CPU-------------------------'
|
||||
sysctl hw.model | tee cpu_model.txt
|
||||
sysctl -a | grep -E 'hw.activecpu|hw.memsize|hw.byteorder|cachesize' | tee cpu.txt
|
||||
echo '----Disk Free and Total--------'
|
||||
df -h . | tee df.txt
|
||||
echo '----Memory Free and Total-------'
|
||||
vm_stat | tee memory.txt
|
||||
echo '----Physical Memory Amount------'
|
||||
ls -l /var/vm | tee memory_total.txt
|
||||
echo '--------------------------------'
|
||||
else
|
||||
echo '----Version, build id-----------'
|
||||
./clickhouse local --query "SELECT format('Version: {}, build id: {}', version(), buildId())"
|
||||
./clickhouse local --query "SELECT format('The number of threads is: {}', value) FROM system.settings WHERE name = 'max_threads'" --output-format TSVRaw
|
||||
./clickhouse local --query "SELECT format('Current time: {}', toString(now(), 'UTC'))"
|
||||
echo '----CPU-------------------------'
|
||||
cat /proc/cpuinfo | grep -i -F 'model name' | uniq | tee cpu_model.txt
|
||||
lscpu | tee cpu.txt
|
||||
echo '----Block Devices---------------'
|
||||
lsblk | tee blk.txt
|
||||
echo '----Disk Free and Total--------'
|
||||
df -h . | tee df.txt
|
||||
echo '----Memory Free and Total-------'
|
||||
free -h | tee memory.txt
|
||||
echo '----Physical Memory Amount------'
|
||||
cat /proc/meminfo | grep MemTotal | tee memory_total.txt
|
||||
echo '----RAID Info-------------------'
|
||||
cat /proc/mdstat| tee mdstat.txt
|
||||
echo '--------------------------------'
|
||||
fi
|
||||
echo
|
||||
|
||||
echo "Instance type from IMDS (if available):"
|
||||
curl -s --connect-timeout 1 'http://169.254.169.254/latest/meta-data/instance-type' | tee instance.txt
|
||||
echo
|
||||
|
||||
echo "Uploading the results (if possible)"
|
||||
|
||||
UUID=$(./clickhouse local --query "SELECT generateUUIDv4()")
|
||||
|
||||
./clickhouse local --query "
|
||||
SELECT
|
||||
'${UUID}' AS run_id,
|
||||
version() AS version,
|
||||
now() AS test_time,
|
||||
(SELECT value FROM system.settings WHERE name = 'max_threads') AS threads,
|
||||
filesystemCapacity() AS fs_capacity,
|
||||
filesystemAvailable() AS fs_available,
|
||||
file('cpu_model.txt') AS cpu_model,
|
||||
file('cpu.txt') AS cpu,
|
||||
file('df.txt') AS df,
|
||||
file('memory.txt') AS memory,
|
||||
file('memory_total.txt') AS memory_total,
|
||||
file('blk.txt') AS blk,
|
||||
file('mdstat.txt') AS mdstat,
|
||||
file('instance.txt') AS instance
|
||||
" | tee meta.tsv | ./clickhouse client --host play.clickhouse.com --secure --user benchmark --query "
|
||||
INSERT INTO benchmark_runs
|
||||
(run_id, version, test_time, threads, fs_capacity, fs_available, cpu_model, cpu, df, memory, memory_total, blk, mdstat, instance)
|
||||
FORMAT TSV" || echo "Cannot upload results."
|
||||
|
||||
./clickhouse local --query "
|
||||
SELECT
|
||||
'${UUID}' AS run_id,
|
||||
c1 AS query_num,
|
||||
c2 AS try_num,
|
||||
c3 AS time
|
||||
FROM file('result.csv')
|
||||
" | tee results.tsv | ./clickhouse client --host play.clickhouse.com --secure --user benchmark --query "
|
||||
INSERT INTO benchmark_results
|
||||
(run_id, query_num, try_num, time)
|
||||
FORMAT TSV" || echo "Cannot upload results. Please send the output to feedback@clickhouse.com"
|
||||
|
||||
<<////
|
||||
|
||||
Server Setup:
|
||||
|
||||
CREATE TABLE benchmark_runs
|
||||
(
|
||||
run_id UUID,
|
||||
version String,
|
||||
test_time DateTime,
|
||||
threads String,
|
||||
fs_capacity UInt64,
|
||||
fs_available UInt64,
|
||||
cpu_model String,
|
||||
cpu String,
|
||||
df String,
|
||||
memory String,
|
||||
memory_total String,
|
||||
blk String,
|
||||
mdstat String,
|
||||
instance String
|
||||
) ENGINE = ReplicatedMergeTree ORDER BY run_id;
|
||||
|
||||
CREATE TABLE benchmark_results
|
||||
(
|
||||
run_id UUID,
|
||||
query_num UInt8,
|
||||
try_num UInt8,
|
||||
time Decimal32(3)
|
||||
) ENGINE = ReplicatedMergeTree ORDER BY (run_id, query_num, try_num);
|
||||
|
||||
CREATE USER benchmark IDENTIFIED WITH no_password SETTINGS max_rows_to_read = 1, max_result_rows = 1, max_execution_time = 1;
|
||||
|
||||
CREATE QUOTA benchmark
|
||||
KEYED BY ip_address
|
||||
FOR RANDOMIZED INTERVAL 1 MINUTE MAX query_inserts = 4, written_bytes = 100000,
|
||||
FOR RANDOMIZED INTERVAL 1 HOUR MAX query_inserts = 10, written_bytes = 500000,
|
||||
FOR RANDOMIZED INTERVAL 1 DAY MAX query_inserts = 50, written_bytes = 2000000
|
||||
TO benchmark;
|
||||
|
||||
GRANT INSERT ON benchmark_runs TO benchmark;
|
||||
GRANT INSERT ON benchmark_results TO benchmark;
|
||||
|
||||
Example query:
|
||||
|
||||
SELECT
|
||||
cpu_model,
|
||||
threads,
|
||||
instance,
|
||||
k
|
||||
FROM
|
||||
(
|
||||
SELECT
|
||||
run_id,
|
||||
exp(avg(log(adjusted_time / best_time))) AS k
|
||||
FROM
|
||||
(
|
||||
WITH greatest(time, 0.01) AS adjusted_time
|
||||
SELECT
|
||||
run_id,
|
||||
adjusted_time,
|
||||
min(adjusted_time) OVER (PARTITION BY query_num, try_num) AS best_time
|
||||
FROM benchmark_results
|
||||
WHERE try_num > 1
|
||||
)
|
||||
GROUP BY run_id
|
||||
ORDER BY k ASC
|
||||
) AS t
|
||||
INNER JOIN benchmark_runs USING (run_id)
|
||||
|
||||
////
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT count() FROM {table};
|
||||
SELECT count() FROM {table} WHERE AdvEngineID != 0;
|
||||
SELECT sum(AdvEngineID), count(), avg(ResolutionWidth) FROM {table} ;
|
||||
SELECT sum(UserID) FROM {table} ;
|
||||
SELECT uniq(UserID) FROM {table} ;
|
||||
SELECT uniq(SearchPhrase) FROM {table} ;
|
||||
SELECT min(EventDate), max(EventDate) FROM {table} ;
|
||||
SELECT AdvEngineID, count() FROM {table} WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY count() DESC;
|
||||
SELECT RegionID, uniq(UserID) AS u FROM {table} GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, sum(AdvEngineID), count() AS c, avg(ResolutionWidth), uniq(UserID) FROM {table} GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, uniq(UserID) AS u FROM {table} WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, uniq(UserID) AS u FROM {table} WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, count() AS c FROM {table} WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, uniq(UserID) AS u FROM {table} WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, count() AS c FROM {table} WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, count() FROM {table} GROUP BY UserID ORDER BY count() DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, count() FROM {table} GROUP BY UserID, SearchPhrase ORDER BY count() DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, count() FROM {table} GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, toMinute(EventTime) AS m, SearchPhrase, count() FROM {table} GROUP BY UserID, m, SearchPhrase ORDER BY count() DESC LIMIT 10;
|
||||
SELECT UserID FROM {table} WHERE UserID = 12345678901234567890;
|
||||
SELECT count() FROM {table} WHERE URL LIKE '%metrika%';
|
||||
SELECT SearchPhrase, any(URL), count() AS c FROM {table} WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, any(URL), any(Title), count() AS c, uniq(UserID) FROM {table} WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM {table} WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM {table} WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM {table} WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM {table} WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, avg(length(URL)) AS l, count() AS c FROM {table} WHERE URL != '' GROUP BY CounterID HAVING c > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT domainWithoutWWW(Referer) AS key, avg(length(Referer)) AS l, count() AS c, any(Referer) FROM {table} WHERE Referer != '' GROUP BY key HAVING c > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM {table};
|
||||
SELECT SearchEngineID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM {table} WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM {table} WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM {table} GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, count() AS c FROM {table} GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, count() AS c FROM {table} GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP AS x, x - 1, x - 2, x - 3, count() AS c FROM {table} GROUP BY x, x - 1, x - 2, x - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT DontCountHits AND NOT Refresh AND notEmpty(URL) GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT DontCountHits AND NOT Refresh AND notEmpty(Title) GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT Refresh AND IsLink AND NOT IsDownload GROUP BY URL ORDER BY PageViews DESC LIMIT 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, ((SearchEngineID = 0 AND AdvEngineID = 0) ? Referer : '') AS Src, URL AS Dst, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT Refresh GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000;
|
||||
SELECT URLHash, EventDate, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT Refresh AND TraficSourceID IN (-1, 6) AND RefererHash = halfMD5('http://example.ru/') GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND NOT Refresh AND NOT DontCountHits AND URLHash = halfMD5('http://example.ru/') GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10000;
|
||||
SELECT toStartOfMinute(EventTime) AS Minute, count() AS PageViews FROM {table} WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-02' AND NOT Refresh AND NOT DontCountHits GROUP BY Minute ORDER BY Minute;
|
||||
@ -1,50 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Install
|
||||
|
||||
sudo apt update
|
||||
sudo apt install default-jre-headless
|
||||
sudo apt install apt-transport-https
|
||||
sudo useradd -U -m heavyai
|
||||
sudo curl https://releases.heavy.ai/GPG-KEY-heavyai | sudo apt-key add -
|
||||
echo "deb https://releases.heavy.ai/os/apt/ stable cpu" | sudo tee /etc/apt/sources.list.d/heavyai.list
|
||||
sudo apt update
|
||||
sudo apt install heavyai
|
||||
|
||||
export HEAVYAI_USER=heavyai
|
||||
export HEAVYAI_GROUP=heavyai
|
||||
export HEAVYAI_STORAGE=/var/lib/heavyai
|
||||
export HEAVYAI_PATH=/opt/heavyai
|
||||
export HEAVYAI_LOG=/var/lib/heavyai/data/mapd_log
|
||||
|
||||
cd $HEAVYAI_PATH/systemd
|
||||
./install_heavy_systemd.sh
|
||||
|
||||
# Press Enter multiple times.
|
||||
|
||||
sudo systemctl start heavydb
|
||||
sudo systemctl enable heavydb
|
||||
|
||||
# Load the data
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.csv.gz'
|
||||
gzip -d hits.csv.gz
|
||||
chmod 777 ~ hits.csv
|
||||
|
||||
sudo bash -c "echo 'allowed-import-paths = [\"/home/ubuntu/\"]' > /var/lib/heavyai/heavy.conf_"
|
||||
sudo bash -c "cat /var/lib/heavyai/heavy.conf >> /var/lib/heavyai/heavy.conf_"
|
||||
sudo bash -c "mv /var/lib/heavyai/heavy.conf_ /var/lib/heavyai/heavy.conf && chown heavyai /var/lib/heavyai/heavy.conf"
|
||||
sudo systemctl restart heavydb
|
||||
|
||||
/opt/heavyai/bin/heavysql -t -p HyperInteractive < create.sql
|
||||
time /opt/heavyai/bin/heavysql -t -p HyperInteractive <<< "COPY hits FROM '$(pwd)/hits.csv' WITH (HEADER = 'false');"
|
||||
|
||||
# Loaded: 99997497 recs, Rejected: 0 recs in 572.633000 secs
|
||||
|
||||
./run.sh 2>&1 | tee log.txt
|
||||
|
||||
du -bcs /var/lib/heavyai/
|
||||
|
||||
cat log.txt | grep -P 'Total time|null' | sed -r -e 's/^.*Total time: ([0-9]+) ms$/\1/' |
|
||||
awk '{ if ($1 == "null") { print } else { print $1 / 1000 } }' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
@ -1,108 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT NOT NULL,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT NOT NULL,
|
||||
Referer TEXT NOT NULL,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT NOT NULL,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT NOT NULL,
|
||||
Params TEXT NOT NULL,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT NOT NULL,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT NOT NULL,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT NOT NULL,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT NOT NULL,
|
||||
BrowserCountry TEXT NOT NULL,
|
||||
SocialNetwork TEXT NOT NULL,
|
||||
SocialAction TEXT NOT NULL,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT NOT NULL,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT NOT NULL,
|
||||
ParamCurrency TEXT NOT NULL,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT NOT NULL,
|
||||
OpenstatCampaignID TEXT NOT NULL,
|
||||
OpenstatAdID TEXT NOT NULL,
|
||||
OpenstatSourceID TEXT NOT NULL,
|
||||
UTMSource TEXT NOT NULL,
|
||||
UTMMedium TEXT NOT NULL,
|
||||
UTMCampaign TEXT NOT NULL,
|
||||
UTMContent TEXT NOT NULL,
|
||||
UTMTerm TEXT NOT NULL,
|
||||
FromTag TEXT NOT NULL,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "HeavyAI",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "Previous names: OmniSci, mapD. Many queries cannot run due to errors and limitations.",
|
||||
|
||||
"tags": ["C++", "column-oriented"],
|
||||
|
||||
"load_time": 572.633,
|
||||
"data_size": 50887437386,
|
||||
|
||||
"result": [
|
||||
[6.525,0.022,0.029],
|
||||
[0.301,0.042,0.04],
|
||||
[0.287,0.095,0.093],
|
||||
[2.572,0.039,0.04],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[7.327,0.093,0.097],
|
||||
[0.244,0.043,0.038],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[2.939,0.295,0.294],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[4.716,3.91,3.955],
|
||||
[null,null,null],
|
||||
[0.154,0.083,0.106],
|
||||
[14.426,0.07,0.071],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[2.276,0.258,0.272],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[1.832,1.64,1.602],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[14.811,0.494,0.497],
|
||||
[null,null,null],
|
||||
[null,null,null],
|
||||
[1.941,0.255,0.255],
|
||||
[5.457,0.172,0.283],
|
||||
[0.476,0.269,0.256],
|
||||
[14.239,0.179,0.178],
|
||||
[3.992,0.112,0.112],
|
||||
[1.031,0.116,0.116],
|
||||
[1.365,0.089,0.088]
|
||||
]
|
||||
}
|
||||
@ -1,13 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches
|
||||
|
||||
echo "$query";
|
||||
for i in $(seq 1 $TRIES); do
|
||||
/opt/heavyai/bin/heavysql -t -p HyperInteractive <<< "${query}" | grep 'Total time' || echo 'null'
|
||||
done;
|
||||
done;
|
||||
@ -1,956 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<title>ClickBench — a Benchmark For Analytical DBMS</title>
|
||||
|
||||
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<link rel="icon" href="data:image/gif;base64,R0lGODlhIAAgAOMPAHMUEmkyHOcbF8UvJts/E3BeOih1YziiQmebLt2AFjeyQKqZKNWPjLybfPfcDP///yH5BAEKAA8ALAAAAAAgACAAAATg8MlJ6ws26z0EGcQmZgAhnN6oPg0wDA0zrGMTAADDxEJCZ4Gba8c4hX4Uw+XWeYGOyMdhgkuYrAToqIBQHBCIKQ6wcJhPyINarUBcyuYE+ndQeOsKuNlxmv3CdnZfew5yAlEPC12BhFhZiBJ2CI1GkBMHeoV9PpYPhIUDBqIFnZ8EBaKplqYMqaqIewl8A6iupFF7C1YCoaJqq4UOWQIBBmtTuIQmWWxekJQeYWuWcFYPfl+dLAELOxML2hIYDeEWt7flEufknTZB7+8NBeyINxjqDwU4QYg26BTu6KVTEQEAOw==">
|
||||
<link href="https://fonts.googleapis.com/css2?family=Inter&display=swap" rel="stylesheet">
|
||||
|
||||
<style>
|
||||
:root {
|
||||
--color: black;
|
||||
--title-color: black;
|
||||
--background-color: white;
|
||||
|
||||
--link-color: #08F;
|
||||
--link-hover-color: #F40;
|
||||
|
||||
--selector-text-color: black;
|
||||
--selector-active-text-color: black;
|
||||
--selector-background-color: #EEE;
|
||||
--selector-active-background-color: #FFCB80;
|
||||
--selector-hover-text-color: black;
|
||||
--selector-hover-background-color: #FDB;
|
||||
|
||||
--summary-every-other-row-color: #F8F8F8;
|
||||
--highlight-color: #EEE;
|
||||
--bar-color: #FFCB80;
|
||||
|
||||
--tooltip-text-color: white;
|
||||
--tooltip-background-color: black;
|
||||
|
||||
--nothing-selected-color: #CCC;
|
||||
--shadow-color: grey;
|
||||
}
|
||||
|
||||
[data-theme="dark"] {
|
||||
--color: #CCC;
|
||||
--title-color: white;
|
||||
--background-color: #04293A;
|
||||
|
||||
--link-color: #8CF;
|
||||
--link-hover-color: #FFF;
|
||||
|
||||
--selector-text-color: white;
|
||||
--selector-background-color: #444;
|
||||
--selector-active-text-color: white;
|
||||
--selector-active-background-color: #088;
|
||||
--selector-hover-text-color: black;
|
||||
--selector-hover-background-color: white;
|
||||
|
||||
--summary-every-other-row-color: #042e41;
|
||||
--highlight-color: #064663;
|
||||
--bar-color: #088;
|
||||
|
||||
--tooltip-text-color: white;
|
||||
--tooltip-background-color: #444;
|
||||
|
||||
--nothing-selected-color: #666;
|
||||
--shadow-color: black;
|
||||
}
|
||||
|
||||
html, body {
|
||||
color: var(--color);
|
||||
background-color: var(--background-color);
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
margin: 0;
|
||||
overflow: auto;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: 'Inter', sans-serif;
|
||||
padding: 1% 3% 0 3%;
|
||||
}
|
||||
|
||||
h1 {
|
||||
color: var(--title-color);
|
||||
}
|
||||
|
||||
table {
|
||||
border-spacing: 1px;
|
||||
}
|
||||
|
||||
.stick-left {
|
||||
position: sticky;
|
||||
left: 0px;
|
||||
}
|
||||
|
||||
.selectors-container {
|
||||
padding: 2rem 0 2rem 0;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.selectors-container th {
|
||||
text-align: left;
|
||||
vertical-align: top;
|
||||
white-space: nowrap;
|
||||
padding-top: 0.5rem;
|
||||
padding-right: 1rem;
|
||||
}
|
||||
|
||||
.selector {
|
||||
display: inline-block;
|
||||
margin-left: 0.1rem;
|
||||
padding: 0.2rem 0.5rem 0.2rem 0.5rem;
|
||||
background: var(--selector-background-color);
|
||||
color: var(--selector-text-color);
|
||||
border: 0.2rem solid var(--background-color);
|
||||
border-radius: 0.5rem;
|
||||
}
|
||||
|
||||
.selector-active {
|
||||
color: var(--selector-active-text-color);
|
||||
background: var(--selector-active-background-color);
|
||||
}
|
||||
|
||||
a, a:visited {
|
||||
text-decoration: none;
|
||||
color: var(--link-color);
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
a:hover {
|
||||
color: var(--link-hover-color);
|
||||
}
|
||||
|
||||
.selector:hover {
|
||||
color: var(--selector-hover-text-color) !important;
|
||||
background: var(--selector-background-color);
|
||||
}
|
||||
|
||||
.selector-active:hover {
|
||||
background: var(--selector-hover-background-color);
|
||||
}
|
||||
|
||||
#summary tr:nth-child(odd) {
|
||||
background: var(--summary-every-other-row-color);
|
||||
}
|
||||
|
||||
.summary-name {
|
||||
white-space: nowrap;
|
||||
text-align: right;
|
||||
padding-right: 1rem;
|
||||
}
|
||||
|
||||
.summary-bar-cell {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.summary-bar {
|
||||
height: 1rem;
|
||||
background: var(--bar-color);
|
||||
border-radius: 0 0.2rem 0.2rem 0;
|
||||
}
|
||||
|
||||
.summary-number {
|
||||
font-family: monospace;
|
||||
text-align: right;
|
||||
padding-left: 1rem;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
th {
|
||||
padding-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.th-entry-hilite {
|
||||
background: var(--highlight-color);
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
.summary-row:hover, .summary-row-hilite {
|
||||
background: var(--highlight-color) !important;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
#details {
|
||||
padding-bottom: 1rem;
|
||||
}
|
||||
|
||||
#details th {
|
||||
vertical-align: bottom;
|
||||
white-space: pre;
|
||||
}
|
||||
|
||||
#details td {
|
||||
white-space: pre;
|
||||
font-family: monospace;
|
||||
text-align: right;
|
||||
padding: 0.1rem 0.5rem 0.1rem 0.5rem;
|
||||
}
|
||||
|
||||
.shadow:hover {
|
||||
box-shadow: 0 0 1rem var(--shadow-color);
|
||||
position: relative;
|
||||
}
|
||||
|
||||
#nothing-selected {
|
||||
display: none;
|
||||
font-size: 32pt;
|
||||
font-weight: bold;
|
||||
color: var(--nothing-selected-color);
|
||||
}
|
||||
|
||||
.note {
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
.tooltip {
|
||||
position: absolute;
|
||||
bottom: calc(100% + 0.5rem);
|
||||
visibility: hidden;
|
||||
background-color: var(--tooltip-background-color);
|
||||
color: var(--tooltip-text-color);
|
||||
box-shadow: 0 0 1rem var(--shadow-color);
|
||||
padding: 0.5rem 0.75rem;
|
||||
border-radius: 0.5rem;
|
||||
z-index: 1;
|
||||
text-align: left;
|
||||
white-space: normal;
|
||||
}
|
||||
|
||||
.tooltip-result {
|
||||
left: calc(50% - 0.25rem);
|
||||
width: 20rem;
|
||||
margin-left: -10rem;
|
||||
}
|
||||
|
||||
.tooltip-query {
|
||||
left: 0;
|
||||
width: 40rem;
|
||||
margin-left: -3rem;
|
||||
}
|
||||
|
||||
.note:hover .tooltip {
|
||||
visibility: visible;
|
||||
}
|
||||
|
||||
.tooltip::after {
|
||||
content: " ";
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
border-width: 0.5rem;
|
||||
border-style: solid;
|
||||
border-color: var(--tooltip-background-color) transparent transparent transparent;
|
||||
}
|
||||
|
||||
.tooltip-result::after {
|
||||
left: 50%;
|
||||
margin-left: -1rem;
|
||||
}
|
||||
|
||||
.tooltip-query::after {
|
||||
left: 3rem;
|
||||
margin-left: 0.5rem;
|
||||
}
|
||||
|
||||
.nowrap {
|
||||
text-wrap: none;
|
||||
}
|
||||
|
||||
.themes {
|
||||
float: right;
|
||||
font-size: 200%;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
#toggle-dark, #toggle-light {
|
||||
padding-right: 0.5rem;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
#toggle-dark:hover, #toggle-light:hover {
|
||||
display: inline-block;
|
||||
transform: translate(1px, 1px);
|
||||
filter: brightness(125%);
|
||||
}
|
||||
</style>
|
||||
<script type="text/javascript">
|
||||
|
||||
const queries = [
|
||||
"SELECT COUNT(*) FROM hits;",
|
||||
"SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;",
|
||||
"SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;",
|
||||
"SELECT AVG(UserID) FROM hits;",
|
||||
"SELECT COUNT(DISTINCT UserID) FROM hits;",
|
||||
"SELECT COUNT(DISTINCT SearchPhrase) FROM hits;",
|
||||
"SELECT MIN(EventDate), MAX(EventDate) FROM hits;",
|
||||
"SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;",
|
||||
"SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;",
|
||||
"SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;",
|
||||
"SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;",
|
||||
"SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;",
|
||||
"SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;",
|
||||
"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
|
||||
"SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;",
|
||||
"SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;",
|
||||
"SELECT UserID FROM hits WHERE UserID = 435090932899640449;",
|
||||
"SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';",
|
||||
"SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;",
|
||||
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;",
|
||||
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;",
|
||||
"SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;",
|
||||
"SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;",
|
||||
"SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\\.)?([^/]+)/.*$', '\\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;",
|
||||
"SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), ..., SUM(ResolutionWidth + 89) FROM hits;",
|
||||
"SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;",
|
||||
"SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;",
|
||||
"SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;",
|
||||
"SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;",
|
||||
"SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;",
|
||||
"SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;",
|
||||
"SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;",
|
||||
"SELECT DATE_TRUNC('minute', EventTime) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', EventTime) ORDER BY DATE_TRUNC('minute', EventTime) LIMIT 10 OFFSET 1000;",
|
||||
];
|
||||
|
||||
const data = [
|
||||
{"system":"Athena (partitioned)","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"","tags":["stateless","managed","Java","column-oriented"],"load_time":0,"data_size":13800000000,"result":[[2.777,3.275,2.925],[1.503,3.136,4.003],[4.544,3.833,3.64],[3.9,2.514,3.522],[3.46,2.186,3.244],[3.624,2.742,3.185],[2.21,1.984,3.123],[3.207,2.403,2.685],[2.936,2.014,3.869],[8.333,7.102,4.434],[7.401,4.697,3.155],[4.214,3.065,4.748],[6.207,4.213,2.576],[3.428,3.085,3.401],[2.92,3.3,3.278],[2.205,2.558,2.419],[4.641,3.888,2.155],[3.219,2.822,3.292],[3.23,3.579,4.31],[2.288,3.543,3.95],[3.032,2.859,2.807],[3.926,3.247,2.928],[4.477,4.048,4.392],[7.407,6.375,6.123],[2.611,2.872,2.827],[2.566,2.567,3.6],[3.673,3.733,2.925],[2.426,3.218,2.78],[5.125,3.778,4.25],[4.565,4.03,4.066],[3.628,3.219,2.953],[6.207,5.973,3.158],[4.339,5.601,4.234],[2.618,3.107,3.433],[4.661,2.79,2.846],[2.373,1.629,2.734],[2.721,2.15,1.962],[3.207,2.154,2.186],[2.453,2.477,3.217],[2.691,4.732,3.584],[2.589,2.613,3.231],[1.926,3.617,1.82],[1.506,2.404,2.343]],"source":"athena/results/partitioned.json"}
|
||||
,{"system":"Athena (single)","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"","tags":["stateless","managed","Java","column-oriented"],"load_time":0,"data_size":13800000000,"result":[[2.268,1.327,2.137],[3.427,2.248,3.605],[3.254,2.548,2.316],[3.025,2.314,3.003],[2.264,2.876,4.213],[3.044,2.745,2.698],[2.732,2.199,2.659],[2.022,3.692,3.072],[2.746,2.477,2.785],[3.53,2.782,4.031],[2.709,2.047,2.853],[2.318,1.969,3.4],[2.635,1.935,2.707],[3.049,3.38,3.071],[3.661,2.387,2.476],[2.479,2.591,2.21],[3.093,3.698,4.351],[3.479,3.236,2.274],[4.36,2.97,3.457],[2.525,2.384,3.328],[3.34,3.174,3.409],[3.163,2.971,3.034],[2.999,3.539,2.906],[6.454,7.597,7.858],[2.754,1.951,2.645],[2.852,3.018,2.718],[2.513,2.678,2.417],[3.293,2.521,2.771],[4.392,3.863,3.981],[3.658,4.246,4.027],[3.028,3.87,2.337],[2.923,3.635,3.591],[3.142,4.105,3.15],[3.66,3.187,4.745],[2.652,2.695,2.742],[2.262,2.776,1.815],[1.881,2.212,2.053],[1.934,2.551,1.524],[2.069,2.26,1.805],[2.626,2.902,2.793],[1.791,2.082,2.481],[3.757,2.6,1.946],[2.608,1.994,3.967]],"source":"athena/results/single.json"}
|
||||
,{"system":"Aurora for MySQL","date":"2022-07-01","machine":"16acu","cluster_size":1,"comment":"Some queries cannot run due to ERROR 1114 (HY000) at line 1: The table '/rdsdbdata/tmp/#sqlaff_e5_0' is full","tags":["managed","C++","MySQL compatible","row-oriented"],"load_time":7687.318,"data_size":89614492631,"result":[[740.42,739.91,746.65],[828.2,835.67,832.87],[830.08,830.98,832.38],[829.88,832.83,830.87],[845.99,842.4,843.21],[869.51,870.69,869.75],[823.77,829.08,825.54],[827.74,832.87,829.25],[916.26,909.46,929.17],[946.49,939.27,932.32],[852.37,857.69,854.74],[857.99,864.05,825.14],[null,null,null],[863.37,860.2,865.62],[null,null,null],[891.84,895.28,893.68],[null,null,null],[null,null,null],[1420.12,1419.34,1445.08],[28.94,0.21,0.21],[917.64,917.56,916.92],[923.47,921.7,923.82],[919.95,918.37,920.17],[1002.19,1002.07,1001.2],[902.23,902.65,901.8],[901.17,900.02,898.3],[900.04,898.89,903.35],[901.78,902.71,901.28],[null,null,null],[1153.29,1154,1156.46],[862.57,863.35,859.69],[923.14,921.1,923.92],[1370.78,1401.72,1401.44],[1454.67,1455.55,1458.79],[1463.31,1466.75,1461.83],[941.03,944.07,937.23],[7.42,2.8,2.77],[2.57,2.52,2.59],[1.5,1.52,1.59],[3.62,3.57,3.61],[0.95,0.94,0.94],[0.9,0.92,0.91],[1.69,1.72,1.69]],"source":"aurora-mysql/results/16acu.json"}
|
||||
,{"system":"Aurora for PostgreSQL","date":"2022-07-01","machine":"16acu","cluster_size":1,"comment":"","tags":["managed","C","PostgreSQL compatible","row-oriented"],"load_time":2127,"data_size":52183852646,"result":[[12.8361,5.71812,5.8241],[61.2565,62.1402,63.7173],[68.0578,68.1218,67.609],[7.83207,5.90193,6.0461],[48.7194,48.0233,48.2198],[289.492,304.639,282.436],[6.30572,6.31857,6.21598],[53.644,53.8931,53.5307],[131.526,131.45,131.102],[137.724,136.921,137.758],[57.2079,56.2775,56.2152],[56.5349,56.2048,55.9569],[82.3897,82.8866,83.534],[97.0569,97.1392,96.4731],[85.6557,86.7783,86.2804],[49.4325,42.4309,42.5743],[111.537,114.59,111.807],[88.4322,89.3756,87.7899],[160.781,163.866,161.394],[1025.04,2.10165,2.10065],[106.741,56.2731,56.1535],[59.2681,59.5272,59.536],[58.6083,57.6054,57.3935],[54.8271,55.1397,56.3487],[54.718,52.469,53.271],[53.5387,53.1926,52.4008],[52.0042,51.9581,52.2453],[60.1317,59.9695,59.2187],[244.608,242.954,243.815],[91.8674,92.4165,91.5884],[63.7122,64.277,64.2783],[69.2596,68.9535,69.4508],[234.222,241.138,240.316],[488.169,462.257,460.466],[472.929,471.809,476.635],[103.664,116.131,103.467],[16.8124,3.34058,3.37782],[0.852414,0.832073,0.859857],[0.305464,0.31166,0.306694],[4.55625,4.54098,4.58501],[0.299746,0.297532,0.30334],[0.275732,0.279817,0.27766],[0.332107,0.324387,0.320099]],"source":"aurora-postgresql/results/16acu.json"}
|
||||
,{"system":"BigQuery","date":"2022-07-01","machine":"serverless","cluster_size":"serverless","comment":"Looks like it shows uncompressed (billable) data size, and it is higher than CSV size","tags":["managed","column-oriented"],"load_time":519.485,"data_size":94410000000,"result":[[1.451,1.284,1.272],[1.462,1.23,1.318],[1.394,1.338,1.248],[1.248,1.41,1.377],[1.506,1.661,1.538],[1.581,1.709,1.639],[1.39,1.195,1.274],[1.431,1.362,1.378],[2.012,1.92,3.148],[3.104,3.118,3.111],[1.342,1.355,1.489],[1.374,1.443,1.349],[1.659,1.707,1.649],[3.086,3.123,4.189],[1.684,1.98,1.823],[1.899,1.654,1.704],[3.097,2.872,3.09],[3.193,3.091,3.073],[5.162,4.125,4.121],[1.362,1.183,1.171],[1.508,1.624,1.578],[1.537,1.554,1.484],[1.931,1.977,2.024],[3.135,3.141,3.182],[1.494,1.377,1.321],[1.342,1.49,1.348],[1.397,1.377,1.482],[3.084,3.115,3.11],[4.144,3.41,4.131],[3.086,3.129,3.094],[1.887,1.861,1.783],[2.068,1.837,1.938],[4.126,4.14,4.173],[3.103,3.106,3.117],[4.149,4.136,4.172],[3.111,3.127,1.988],[1.539,1.443,1.412],[1.213,1.202,1.252],[1.16,1.213,1.174],[1.723,1.747,1.764],[1.173,1.122,1.124],[1.164,1.162,1.098],[1.292,1.226,1.274]],"source":"bigquery/results/serverless.json"}
|
||||
,{"system":"Citus","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","column-oriented"],"load_time":1579,"data_size":18980918899,"result":[[7.58503,6.70447,6.52499],[6.33941,5.06063,5.00238],[11.7488,9.86417,9.93223],[12.6306,9.36305,9.17061],[40.6101,39.0803,38.1187],[117.654,113.912,113.441],[10.3404,8.08936,7.70732],[6.31542,4.72821,4.72989],[82.5425,77.2124,76.9219],[91.1776,83.4492,82.4727],[14.5474,10.0815,10.3873],[15.4899,11.2922,11.1877],[19.9794,15.5002,17.4492],[76.9216,72.5172,72.7915],[21.5446,17.5691,18.561],[56.9438,54.6387,53.5745],[75.0977,69.7842,70.0259],[31.3299,27.0267,26.3216],[129.417,122.956,121.182],[3.73386,2.14148,2.12737],[34.6021,27.9727,28.6878],[37.152,29.6193,29.2966],[52.2157,37.8589,37.6994],[181.955,149.08,148.471],[15.4687,11.3138,10.3856],[10.2779,8.46868,8.8324],[14.4687,10.4076,11.4263],[47.009,40.2969,39.6888],[749.946,742.979,744.461],[69.4383,67.5636,67.2128],[27.0317,21.4008,20.9524],[36.6675,25.6347,26.4408],[140.424,130.546,129.738],[106.959,92.033,90.1609],[110.98,94.4787,96.2656],[64.4474,60.1853,60.6816],[6.17549,6.25376,5.87004],[1.99153,1.81776,1.80596],[1.00141,0.800271,0.801975],[7.91778,7.70928,8.33299],[0.929845,0.642076,0.638478],[0.866536,0.683567,0.680218],[0.937823,0.784747,0.765929]],"source":"citus/results/c6a.4xlarge.json"}
|
||||
,{"system":"clickhouse-local (partitioned)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","embedded","stateless","ClickHouse derivative"],"load_time":0,"data_size":14737666736,"result":[[0.85,0.102,0.114],[1.342,0.09,0.099],[2.547,0.179,0.189],[1.681,0.245,0.252],[2.704,1.68,1.648],[2.194,1.46,1.489],[0.832,0.113,0.102],[1.371,0.106,0.101],[2.24,0.79,0.825],[4.548,1.021,1.026],[3.094,0.552,0.552],[3.088,0.623,0.63],[2.017,1.17,1.165],[4.319,1.677,1.708],[2.157,1.496,1.5],[1.629,1.138,1.139],[5.026,3.267,3.241],[4.142,2.303,2.319],[8.295,5.569,5.629],[1.331,0.255,0.252],[10.712,3.668,3.786],[13.053,4.185,4.202],[24.17,7.935,8.008],[55.965,23.933,23.071],[4.417,0.947,0.974],[1.793,0.698,0.69],[4.376,0.955,0.956],[11.731,4.385,4.321],[11.403,8.549,8.288],[2.764,2.754,2.735],[5.096,1.262,1.273],[9.515,1.682,1.688],[10.325,6.745,6.608],[11.686,6.261,6.242],[11.769,6.301,6.364],[1.675,1.49,1.495],[14.937,3.631,3.604],[14.187,3.609,3.631],[14.842,3.769,3.741],[22.222,6.355,6.263],[7.212,0.836,0.838],[7.863,0.716,0.718],[5.12,0.587,0.574]],"source":"clickhouse-local/results/c6a.4xlarge.partitioned.json"}
|
||||
,{"system":"clickhouse-local (single)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","embedded","stateless","ClickHouse derivative"],"load_time":0,"data_size":14779976446,"result":[[1.176,0.251,0.249],[1.037,0.134,0.111],[1.609,0.403,0.369],[1.616,0.372,0.37],[3.008,2.338,2.266],[9.061,7.537,7.535],[1.206,0.191,0.187],[0.882,0.144,0.135],[4.61,3.406,3.256],[6.712,4.479,4.469],[4.081,2.413,2.394],[3.894,2.719,2.691],[7.651,6.436,6.243],[10.765,8.043,7.894],[9.86,8.945,8.235],[7.159,5.815,5.814],[20.916,18.159,18.013],[20.952,17.862,17.85],[37.585,32.649,32.487],[1.767,0.401,0.393],[23.713,15.687,15.755],[28.7,19.241,19.198],[50.74,33.161,33.011],[152.485,117.417,118.178],[7.606,4.491,5.326],[4.331,4.214,3.587],[6.743,4.486,5.357],[22.91,15.043,15.183],[43.342,37.167,36.842],[11.807,4.49,4.546],[9.557,6.349,6.263],[13.964,8.493,8.464],[38.11,33.642,33.996],[41.266,35.08,27.073],[34.056,26.814,26.902],[8.855,7.548,7.475],[22.596,12.615,12.669],[23.217,13.956,13.831],[22.528,21.601,13.207],[37.89,23.115,22.955],[6.49,1.548,1.522],[6.413,1.474,1.416],[3.796,1.339,1.316]],"source":"clickhouse-local/results/c6a.4xlarge.single.json"}
|
||||
,{"system":"ClickHouse","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","ClickHouse derivative"],"load_time":475.529,"data_size":14345515782,"result":[[0.027,0.001,0.001],[0.035,0.015,0.021],[0.083,0.034,0.033],[0.171,0.044,0.045],[1.552,1.495,1.574],[1.27,1.075,1.063],[0.045,0.026,0.025],[0.032,0.016,0.015],[0.717,0.615,0.607],[0.843,0.821,0.747],[0.293,0.219,0.216],[0.312,0.226,0.235],[0.804,0.694,0.702],[1.476,1.047,1.029],[1.013,0.898,0.911],[1.043,0.964,1.453],[3.632,2.715,2.711],[1.867,1.75,1.714],[5.187,4.797,4.953],[0.112,0.068,0.041],[8.637,1.761,1.212],[9.902,0.902,0.869],[18.831,2.067,1.829],[41.903,4.476,3.486],[1.801,0.254,0.238],[0.627,0.214,0.207],[2.181,0.241,0.246],[8.868,0.748,0.733],[9.674,6.891,5.77],[2.62,2.355,2.368],[1.395,0.533,0.525],[4.454,0.73,0.712],[5.453,4.99,5.922],[9.955,3.968,4.096],[9.987,4.035,4.476],[1.695,1.236,1.241],[0.142,0.079,0.103],[0.066,0.033,0.04],[0.065,0.03,0.033],[0.246,0.207,0.192],[0.044,0.019,0.02],[0.03,0.023,0.012],[0.03,0.018,0.013]],"source":"clickhouse/results/c6a.4xlarge.json"}
|
||||
,{"system":"ClickHouse","date":"2022-07-01","machine":"c6a.metal, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","column-oriented","ClickHouse derivative"],"load_time":136.869,"data_size":14571706777,"result":[[0.011,0.001,0.001],[0.04,0.015,0.013],[0.045,0.021,0.023],[0.09,0.023,0.023],[1.922,1.565,1.576],[0.961,0.737,0.739],[0.04,0.023,0.018],[0.032,0.028,0.028],[0.321,0.287,0.275],[0.632,0.284,0.287],[0.166,0.124,0.118],[0.235,0.1,0.102],[1.006,0.182,0.159],[1.637,0.216,0.213],[0.871,0.174,0.177],[0.258,0.148,0.148],[1.804,0.37,0.358],[1.235,0.275,0.278],[3.143,0.854,0.815],[0.071,0.024,0.016],[8.816,0.215,0.155],[10.239,0.203,0.173],[19.179,0.388,0.357],[43.152,0.824,0.823],[1.821,0.059,0.052],[0.992,0.045,0.051],[2.539,0.063,0.058],[9.258,0.3,0.278],[7.923,0.961,0.936],[0.445,0.431,0.428],[1.367,0.131,0.113],[4.819,0.205,0.175],[3.808,0.739,0.726],[8.935,0.607,0.6],[8.988,0.634,0.615],[0.242,0.22,0.226],[0.075,0.058,0.056],[0.038,0.028,0.026],[0.043,0.028,0.021],[0.172,0.127,0.119],[0.028,0.018,0.017],[0.027,0.019,0.014],[0.018,0.026,0.015]],"source":"clickhouse/results/c6a.metal.json"}
|
||||
,{"system":"CrateDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"For some queries it gives \"Data too large\".","tags":["Java","column-oriented"],"load_time":10687,"data_size":109636633416,"result":[[0.008162,0.005118,0.002553],[0.350014,0.39977,0.133775],[2.58426,2.47192,2.59779],[2.12939,0.532981,0.507246],[null,null,null],[null,null,null],[1.18488,1.06603,1.07219],[0.209264,0.073284,0.067912],[null,null,null],[null,null,null],[1.68892,1.2866,1.47428],[1.62976,1.43073,1.26904],[12.7517,13.0334,13.2685],[18.8587,null,18.6951],[11.2982,11.2108,11.577],[20.2964,20.4035,19.1076],[null,null,null],[null,null,null],[null,null,null],[0.202044,0.010009,0.005566],[9.22964,4.54606,0.774149],[1.41673,1.09885,0.789775],[12.3933,8.06911,1.69671],[1.45018,0.969528,0.979718],[0.357589,0.14887,0.153326],[0.189282,0.133963,0.130279],[0.153222,0.140756,0.139861],[27.5195,19.6862,20.1825],[72.7575,68.2,67.1238],[144.533,146.579,152.144],[8.76866,9.00563,8.46917],[17.6652,16.6755,16.0558],[null,null,null],[null,null,null],[null,null,null],[42.2967,44.9621,44.4386],[0.786911,0.4904,0.508416],[0.602075,0.226261,0.182399],[0.131407,0.058958,0.054518],[0.954736,1.1361,1.14233],[0.23764,0.139109,0.134472],[0.110253,0.057695,0.056073],[0.124285,0.150479,0.066226]],"source":"cratedb/results/c6a.4xlarge.json"}
|
||||
,{"system":"Databend","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Only 90% of data successfully loaded.","tags":["Rust","column-oriented","ClickHouse derivative"],"load_time":484,"data_size":43016643271,"result":[[0.010087,0.002961,0.003271],[0.127964,0.080012,0.075741],[0.162388,0.143967,0.144762],[0.252904,0.217471,0.217369],[34.281026,34.844158,34.526942],[25.290307,25.793068,25.620563],[0.112484,0.093867,0.090891],[0.086604,0.07796,0.076448],[20.723203,20.7483,20.354869],[20.81994,20.72446,20.696573],[1.964378,1.93559,1.893824],[1.846866,1.789111,1.763664],[4.468158,4.407959,4.438036],[19.947276,19.8859,19.853514],[5.478573,5.474461,5.460604],[5.509521,5.513413,5.363123],[15.430359,15.5406,15.461211],[14.905998,15.029721,15.019642],[31.069663,30.811763,30.737336],[0.281067,0.220021,0.217741],[8.89374,4.12692,4.131689],[10.38448,4.603694,4.571757],[19.980572,8.836322,8.892694],[59.786474,52.452881,39.941988],[2.804019,0.994794,0.958224],[0.765299,0.730434,0.723964],[2.784648,0.94665,0.936684],[8.905027,5.418438,5.386109],[12.187652,12.230066,12.164123],[3.35748,3.395991,3.319434],[4.309389,3.854977,3.772506],[9.958201,7.027432,6.888253],[50.200569,50.535126,50.283066],[24.469412,21.222713,21.010188],[26.115852,23.93507,24.835342],[7.511517,7.296179,7.324549],[2.156784,1.298258,1.278441],[2.155447,1.314499,1.331237],[2.007053,1.181676,1.155612],[null,null,null],[0.485363,0.420291,0.416819],[0.372131,0.322068,0.323578],[null,null,null]],"source":"databend/results/c6a.4xlarge.json"}
|
||||
,{"system":"Druid","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Druid is killed and restarted after every query. Otherwise some queries make Druid degraded and results are incorrect. For example after Q13 even SELECT 1 works for 7 seconds","tags":["Java","column-oriented"],"load_time":19620,"data_size":45188608472,"result":[[0.032365,0.016716,0.016921],[0.400766,0.275591,0.271057],[0.38235,0.152084,0.151652],[1.379492,0.137201,0.128902],[3.278731,2.527105,2.515128],[8.576382,6.54654,6.503001],[null,null,null],[0.563852,0.273795,0.275086],[11.509993,10.636571,10.597993],[13.357647,12.42121,12.337247],[1.636875,0.8213,0.900056],[1.692544,0.512066,0.440511],[2.453274,1.769806,1.807207],[8.503408,7.261406,7.334872],[61.056041,59.251083,59.500549],[8.62067,8.236657,8.22538],[164.840762,null,null],[24.165797,22.308466,null],[null,null,null],[null,null,null],[25.973369,25.597864,25.602509],[null,null,null],[null,null,null],[7.805347,6.629776,6.947366],[0.257845,0.020327,0.016976],[null,null,null],[null,null,null],[32.948154,31.04677,29.221959],[null,null,null],[7.230865,7.033713,6.972421],[20.54625,19.237428,19.258469],[54.065945,52.451318,52.466653],[null,null,null],[17.499267,null,null],[null,null,null],[60.478315,60.05494,60.458946],[1.698088,1.490317,1.461969],[1.409572,0.939003,0.907252],[0.866729,0.329539,0.287435],[null,null,null],[0.932473,0.420781,0.359095],[0.723142,0.3253,0.296865],[0.603483,0.150892,0.140716]],"source":"druid/results/c6a.4xlarge.json"}
|
||||
,{"system":"DuckDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Many queries triggered OOM","tags":["C","column-oriented","embedded"],"load_time":4217,"data_size":27241492480,"result":[[0.005694353996659629,0.003944558004150167,0.003837226002360694],[0.16991353100456763,0.03919722700084094,0.03835860399703961],[0.44898432699847035,0.04947217500011902,0.04852217998995911],[0.07586832098604646,0.07051395199960098,0.07007493599667214],[9.554053236002801,8.153356187991449,8.73448242500308],[7.66042533799191,6.931124911992811,7.103380946995458],[0.030703739990713075,0.027668555994750932,0.027583695002249442],[0.1778664360026596,0.03942437999648973,0.03882004099432379],[8.53439180701389,8.869582625004114,9.020313234999776],[10.40215514000738,11.125320470004226,8.941559945000336],[1.1747649609897053,1.04221136700653,1.004799570000614],[1.2380354650085792,1.1211603130068397,2.4278587239969056],[3.1751541379926493,0.9360461989999749,0.8868292279948946],[6.855684430003748,7.300301584007684,5.712960822012974],[3.70588762400439,1.0249276379909134,0.9473389159975341],[2.1037107890006155,1.6215517020027619,1.5671920729946578],[null,null,null],[null,null,null],[null,null,null],[0.0002772739971987903,0.00016792300448287278,0.0001574420020915568],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[2.9310110910009826,0.19020285899750888,0.1736805049877148],[2.939304119994631,0.18754731099761557,0.18073286200524308],[2.8706370779982535,0.18822155400994234,0.17905898999015335],[null,null,null],[null,null,null],[0.884408778991201,0.714329167996766,0.7135983259940986],[5.3762675570033025,0.8803737630078103,0.8728962720051641],[7.249190265996731,2.9648747390019707,2.866687831003219],[null,null,null],[null,null,null],[null,null,null],[4.515183198003797,4.030519469000865,4.014251719010645],[0.11604027298744768,0.040539135996368714,0.04280066800129134],[0.0457908230018802,0.021069509006338194,0.019683108999743126],[0.0680370800109813,0.011889394998434,0.01056639499438461],[0.22029169600864407,0.08547276000899728,0.09095505000732373],[0.03759863799496088,0.008373684002435766,0.007633563989656977],[0.025631797994719818,0.008081699008471332,0.007858585988287814],[0.034359957004198804,0.025543516996549442,0.02533275399764534]],"source":"duckdb/results/c6a.4xlarge.json"}
|
||||
,{"system":"Greenplum","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","column-oriented","PostgreSQL compatible"],"load_time":1080,"data_size":42000000000,"result":[[2.20009,1.45883,1.13573],[1.28661,1.07897,1.01856],[2.2582,2.42193,2.59693],[1.89371,1.9246,1.73866],[9.54471,9.71956,10.0357],[4.55957,4.10112,4.70458],[1.65167,1.89767,1.97051],[1.02537,0.999323,1.00524],[7.89792,7.75718,8.01219],[11.3779,11.6003,11.2552],[2.11955,2.05003,1.9553],[2.01997,1.97932,1.98284],[2.88666,2.92828,2.96822],[4.06272,4.01771,4.03011],[3.46303,3.24779,3.06475],[8.43717,8.18641,7.99202],[9.02176,8.91572,8.92748],[8.66982,8.39332,8.62497],[15.1321,14.9502,15.2344],[1.00877,0.934589,0.975342],[11.0582,3.25807,3.17687],[12.2634,3.5188,3.93705],[24.1522,4.86328,4.88764],[67.1517,20.4,20.261],[2.5799,1.66114,1.90432],[1.72831,1.89536,1.2515],[2.44154,1.46595,1.88238],[11.1175,6.09551,6.02292],[83.041,82.9784,82.8678],[82.5441,82.5427,83.9836],[3.0962,3.22225,3.19431],[5.77576,4.05973,4.00366],[43.6826,40.4375,40.1076],[18.0978,13.2741,12.8894],[17.3187,13.5411,13.5927],[9.72405,9.90029,10.0177],[0.294344,0.169606,0.173804],[0.162524,0.117489,0.115532],[0.145205,0.098342,0.097275],[0.334809,0.275365,0.265053],[0.154522,0.107654,0.10529],[0.158957,0.117284,0.119068],[0.193756,0.144787,0.145485]],"source":"greenplum/results/c6a.4xlarge.json"}
|
||||
,{"system":"HeavyAI","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Previous names: OmniSci, mapD. Many queries cannot run due to errors and limitations.","tags":["C++","column-oriented"],"load_time":572.633,"data_size":50887437386,"result":[[6.525,0.022,0.029],[0.301,0.042,0.04],[0.287,0.095,0.093],[2.572,0.039,0.04],[null,null,null],[null,null,null],[7.327,0.093,0.097],[0.244,0.043,0.038],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[2.939,0.295,0.294],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[4.716,3.91,3.955],[null,null,null],[0.154,0.083,0.106],[14.426,0.07,0.071],[null,null,null],[null,null,null],[null,null,null],[2.276,0.258,0.272],[null,null,null],[null,null,null],[null,null,null],[null,null,null],[1.832,1.64,1.602],[null,null,null],[null,null,null],[null,null,null],[14.811,0.494,0.497],[null,null,null],[null,null,null],[1.941,0.255,0.255],[5.457,0.172,0.283],[0.476,0.269,0.256],[14.239,0.179,0.178],[3.992,0.112,0.112],[1.031,0.116,0.116],[1.365,0.089,0.088]],"source":"heavyai/results/c6a.4xlarge.json"}
|
||||
,{"system":"Infobright","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Only 90% of data successfully loaded. Some queries run for days.","tags":["C++","column-oriented","MySQL compatible"],"load_time":2317,"data_size":13760341294,"result":[[0.01,0,0],[2.39,2.4,2.44],[0,0,0],[7.21,6.04,6.91],[16.09,16.86,15.69],[48.8,42.37,48.63],[0,0,0],[3.48,2.42,2.42],[23.56,24.78,22.21],[32.87,31.71,34.48],[14.8,14.83,14.11],[16.7,16.53,17.37],[1752.91,1999.88,1961.4],[1193.43,1167,1220.47],[2184.81,2316.12,2224.14],[32.58,30.69,31.58],[300.17,16221.33,16168.44],[122.4,120.49,124.67],[78927.44,79250.44,78504.89],[3.38,1.22,1.21],[289.73,302.3,285.83],[415.82,389.23,403.28],[573.82,590.81,575.06],[300.13,293.96,285.64],[41.42,37.48,39.64],[75.2,75.37,72.07],[39.22,41.52,40.11],[449.56,445.03,448.68],[null,null,null],[450.87,488.3,453.83],[58.69,59.29,58.07],[84.47,78.92,79.38],[517.97,520.29,504.96],[182468.89,182468.89,182468.89],[182468.89,182468.89,182468.89],[68.43,66.93,67.68],[8.3,3.62,3.61],[1.04,0.62,0.62],[0.22,0.18,0.18],[567.78,566.52,563.02],[0.29,0.14,0.11],[0.17,0.08,0.08],[1.37,1.34,1.32]],"source":"infobright/results/c6a.4xlarge.json"}
|
||||
,{"system":"MariaDB ColumnStore","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Previous name: InfiniDB.","tags":["C++","column-oriented","MySQL compatible"],"load_time":2507.8,"data_size":19712857022,"result":[[0.151,0.158,0.148],[0.1,0.101,0.106],[1.221,1.233,1.226],[0.739,0.736,0.741],[2.025,2.046,2.004],[3.725,4.801,3.755],[0.871,0.749,0.736],[0.118,0.108,0.103],[2.108,2.029,2.029],[4.225,4.271,4.288],[1.711,1.402,1.407],[1.526,1.435,1.42],[5.339,4.172,3.61],[4.692,4.729,4.96],[4.013,3.86,3.918],[3.236,2.68,2.629],[null,null,null],[null,null,null],[null,null,null],[0.137,0.109,0.147],[12.331,6.069,8.619],[2.162,2.178,2.192],[16.849,30.463,26.639],[92,90.208,92.814],[3.042,1.763,1.791],[1.779,1.772,1.749],[1.793,1.821,1.888],[13.036,10.747,9.59],[null,null,null],[78.224,79.141,77.806],[2.837,2.654,2.675],[5.833,4.552,3.678],[null,null,null],[null,null,null],[null,null,null],[3.626,3.546,3.709],[1.719,1.787,1.876],[1.345,0.906,0.91],[0.117,0.091,0.093],[1.217,1.133,1.133],[0.114,0.063,0.062],[0.1,0.062,0.061],[null,null,null]],"source":"mariadb-columnstore/results/c6a.4xlarge.json"}
|
||||
,{"system":"MonetDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","column-oriented"],"load_time":939,"data_size":49696606499,"result":[[0.000218,0.000157,0.000155],[0.101903,0.019908,0.018439],[0.282431,0.035987,0.034938],[2.868,0.029387,0.029207],[4.675,4.515,4.511],[6.584,4.269,4.65],[0.528827,0.063135,0.065742],[0.506863,0.020966,0.021687],[8.343,4.457,4.408],[7.224,6.548,7.576],[0.267003,0.233353,0.230444],[0.347206,0.28358,0.266085],[5.389,3.099,3.074],[7.653,7.759,8.596],[3.276,3.326,3.292],[5.31,3.465,3.578],[9.341,9.143,9.536],[9.584,9.604,9.419],[19.539,19.783,19.611],[0.004509,0.000702,0.000643],[20.801,1.57,1.603],[2.752,0.418221,0.395884],[14.717,0.800894,0.395477],[14.429,1.804,1.869],[1.386,0.159602,0.156426],[0.189736,0.167664,0.168781],[0.164681,0.176666,0.17126],[3.005,3.113,3.882],[null,null,null],[2.751,2.846,2.676],[7.937,2.579,2.447],[5.12,3.492,3.467],[22.862,22.567,23.211],[33.437,18.889,19.043],[18.898,19.583,19.047],[14.774,12.984,13.803],[3.865,0.322143,0.323117],[0.192149,0.177791,0.175984],[0.194173,0.159398,0.165201],[0.680778,0.592252,0.560738],[0.106465,0.10638,0.102692],[0.154871,0.153752,0.155782],[0.11459,0.09639,0.095594]],"source":"monetdb/results/c6a.4xlarge.json"}
|
||||
,{"system":"MySQL (MyISAM)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","row-oriented","MySQL compatible"],"load_time":2512,"data_size":121588958061,"result":[[0,0,0],[283.32,276.83,274.52],[276.93,278.29,283.27],[28.83,23.63,21.55],[46.41,40.81,40.93],[467.04,467.39,469.08],[31.02,25.89,24.2],[277.89,275.3,277.3],[329.34,325.8,325.35],[342.86,338.43,336.95],[282.03,279.87,281.22],[277.74,282.68,282],[335.66,334.83,336.44],[305.24,310.39,307.3],[337.41,338.52,342.94],[308.66,307.34,306.27],[738.38,748.44,740.75],[738.75,734.01,738.25],[867.01,872.92,868.84],[25.65,20.61,18.46],[312.39,313.67,306.66],[301.66,305.12,308.01],[298.12,298.44,312.4],[311.34,309.9,311.85],[281.87,278.5,275],[277.46,277.46,277.46],[280.75,278.04,281.76],[263.9,417.39,406.88],[707.21,711.96,705],[668.1,668.33,665.96],[330.31,333.36,331.94],[506.57,506.18,500.53],[2604.49,2681.96,2703.12],[830.65,832.88,831.14],[831.98,830.46,833.41],[608.49,608.51,613.68],[4.56,4.13,4.16],[3.8,3.8,3.7],[1.65,1.45,1.46],[6.33,5.14,6.15],[1.6,1.41,1.41],[1.56,1.42,1.39],[7.04,1.17,1.13]],"source":"mysql-myisam/results/c6a.4xlarge.json"}
|
||||
,{"system":"MySQL","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C++","row-oriented","MySQL compatible"],"load_time":9472,"data_size":171953585825,"result":[[339.77,339.88,339.77],[364.91,371.86,367.55],[366.2,368.91,389.66],[364.39,377.53,571.45],[377.69,390.02,384.86],[569.48,576.51,574.68],[367.4,368.23,370.41],[371.29,384.02,613.22],[478.85,683.22,495.68],[489.9,635.96,662.43],[386.07,396.49,640.15],[389.13,412.55,444.12],[447.97,455.54,448.06],[423.22,845.44,813.6],[452.48,460.07,453.98],[577.54,623.21,586.49],[852.07,856.36,862.66],[838.09,848.92,851.12],[1006.37,1011.16,1023.17],[369.76,375.61,415.28],[412.45,419.9,456.62],[411.65,432.88,482.2],[412.73,420.73,429.5],[551.16,577.62,545.45],[382.89,394.76,386.37],[380.9,391.4,385.05],[385.3,394.67,460.32],[388.95,394.7,387.21],[800.33,807.9,807.11],[706.03,745.27,718.9],[450.9,489.59,530.97],[625.5,651.93,647.32],[2721.13,2792.12,2819.26],[945.9,954.94,957.54],[945.42,953.78,965.16],[684.36,716.29,708.75],[10.01,3.79,3.77],[7.48,3.32,3.27],[5.09,0.98,0.96],[8.7,4.77,4.68],[4.82,0.76,0.74],[4.46,0.77,0.75],[7.04,1.17,1.13]],"source":"mysql/results/c6a.4xlarge.json"}
|
||||
,{"system":"Pinot","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"It successfully loaded only 94465149 out of 99997497 records. Some queries returned NullPointerException. The loading process is painful - splitting to 100 pieces required. It does not correctly report errors on data loading, the results may be incorrect.","tags":["Java","column-oriented"],"load_time":2032,"data_size":null,"result":[[0.002,0.001,0.001],[0.186,0.186,0.185],[0.251,0.276,0.258],[0.475,0.281,0.238],[3.907,3.655,3.633],[30.471,14.687,14.93],[null,null,null],[0.135,0.134,0.148],[3.039,2.902,2.938],[3.159,3.212,3.225],[4.217,4.197,4.384],[4.145,4.124,4.121],[2.989,3.145,3.18],[6.402,6.886,6.374],[3.245,3.35,3.129],[5.112,5.027,5.141],[5.509,5.279,5.257],[0.865,0.856,0.829],[null,null,null],[0.017,0.015,0.015],[54.348,19.562,19.128],[null,null,null],[76.596,74.719,14.228],[7.441,5.77,5.87],[0.376,0.327,0.286],[7.689,0.395,1.281],[3.434,0.499,0.5],[27.679,2.378,2.393],[null,null,null],[2.221,2.227,2.167],[4.941,4.639,4.565],[5.641,5.37,5.007],[5.295,5.006,5.357],[5.28,5.21,5.105],[6.231,6.238,6.385],[5.918,5.933,5.934],[0.26,0.202,0.21],[0.364,0.072,0.069],[0.042,0.034,0.035],[1.483,0.686,0.651],[0.113,0.071,0.079],[0.042,0.051,0.037],[null,null,null]],"source":"pinot/results/c6a.4xlarge.json"}
|
||||
,{"system":"PostgreSQL","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","row-oriented","PostgreSQL compatible"],"load_time":2342,"data_size":77797067741,"result":[[439.753,309.785,282.017],[317.874,254.238,254.941],[262.883,263.072,263.09],[32.421,5.31,5.06],[57.134,42.648,42.334],[358.423,356.315,358.342],[31.524,5.35,4.994],[263.145,263.193,263.165],[323.659,322.858,321.918],[327.395,326.17,326.231],[265.983,265.681,265.912],[269.984,265.336,265.379],[284.096,284.56,282.234],[277.25,279.455,280.035],[285.66,286.2,283.611],[66.605,32.023,38.282],[312.452,304.431,305.391],[289.209,290.449,287.578],[331.706,327.485,334.428],[24.646,2.543,2.263],[267.561,267.496,267.524],[267.729,267.69,268.184],[263.074,263.12,267.04],[267.602,267.488,267.494],[263.141,263.859,263.137],[262.923,263.102,263.113],[262.885,263.088,263.114],[267.864,269.127,268.204],[303.376,306.925,308.664],[263.221,263.119,263.148],[270.814,270.575,270.294],[278.342,275.925,276.224],[584.599,576.932,591.502],[462.576,446.962,439.779],[429.93,417.696,416.704],[296.875,297.283,295.14],[3.461,0.842,0.794],[2.179,0.564,0.558],[2.258,0.566,0.416],[2.805,1.311,1.317],[2.936,0.82,0.615],[2.197,0.736,0.535],[1.983,0.32,0.312]],"source":"postgresql/results/c6a.4xlarge.json"}
|
||||
,{"system":"QuestDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"Many queries cannot run. It also crashes and hangs.","tags":["Java","time-series"],"load_time":1667.5,"data_size":126680518680,"result":[[0.0155878,0.000283657,0.000328587],[0.586734,0.0486348,0.0485346],[6.41881,5.57954,6.25638],[6.8554,3.11997,3.11813],[47.8723,54.5425,53.1198],[null,null,null],[5.63439,3.70619,3.92043],[0.699764,0.130462,0.126272],[55.7179,62.8433,62.0045],[null,59.6416,64.7753],[63.7134,null,39.8928],[46.759,46.8544,null],[16.7181,10.9064,10.0735],[79.9885,null,52.5617],[16.1015,12.1835,13.1469],[17.0225,11.7342,10.6194],[24.1167,15.6749,16.8193],[23.0848,15.3149,17.375],[42.0965,26.2421,25.7593],[0.0356335,0.027459,0.0289404],[70.7679,71.5825,71.4573],[null,null,null],[null,null,null],[77.0625,13.2257,12.7578],[11.0775,2.90421,2.33398],[3.31611,3.38837,3.35419],[3.13233,5.2785,3.07075],[null,null,null],[null,null,null],[186.032,185.627,180.963],[26.7279,16.4799,18.8758],[63.8785,32.1097,32.1561],[64.4635,31.4538,35.654],[118.897,null,119.015],[null,null,null],[19.6853,17.4427,16.7998],[1.50985,0.877967,0.885536],[0.805639,0.577352,0.534731],[0.509284,0.448942,0.467679],[1.37609,0.966942,0.912858],[0.567887,0.394619,0.438952],[0.508977,0.441015,0.40528],[null,null,null]],"source":"questdb/results/c6a.4xlarge.json"}
|
||||
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||||
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||||
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|
||||
,{"system":"TimescaleDB (compression)","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","column-oriented","time-series"],"load_time":4605,"data_size":20333747165,"result":[[2.28686,1.63642,1.64263],[32.6848,1.63476,1.40052],[60.8633,3.70484,3.59342],[36.4029,2.87091,2.80739],[110.391,38.9688,38.0549],[147.379,66.2513,65.6379],[33.0294,2.92031,2.84375],[33.0221,1.2984,1.19227],[115.694,47.4651,47.0125],[156.347,51.577,51.2694],[68.3301,4.75521,4.68007],[77.4356,5.55128,5.56577],[49.7741,11.2911,11.3265],[81.1014,14.9111,14.9541],[82.9569,14.6156,14.6331],[62.0338,26.399,26.3351],[103.259,36.4122,36.6076],[92.8828,26.2395,25.8991],[144.281,63.5102,63.7661],[7.00679,0.573073,0.536283],[75.0203,7.86344,7.90495],[81.2825,9.15868,9.01775],[104.084,13.9528,13.8435],[132.531,81.522,82.1561],[80.6965,3.28231,3.16574],[39.7693,2.51443,2.43849],[80.4245,3.26941,3.13916],[104.015,13.7044,13.5313],[307.26,253.127,252.147],[42.8549,22.4187,22.0325],[137.601,14.9592,14.6804],[136.767,22.8007,22.131],[263.005,168.551,163.355],[156.919,92.6308,91.702],[160.842,96.0512,97.1773],[62.8357,28.0336,28.7397],[1.75869,0.561604,0.541215],[0.46607,0.191863,0.19021],[0.303671,0.137579,0.136615],[2.32031,1.49223,1.52369],[0.563764,0.14192,0.138234],[0.372428,0.122989,0.123709],[0.448574,0.159092,0.154687]],"source":"timescaledb-compressed/results/c6a.4xlarge.json"}
|
||||
,{"system":"TimescaleDB","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["C","PostgreSQL compatible","row-oriented","time-series"],"load_time":1620,"data_size":72882392030,"result":[[437.7,215.793,176.42],[327.026,259.568,244.578],[262.978,263.09,263.083],[262.807,263.046,266.847],[337.497,334.964,330.852],[355.689,356.801,362.894],[262.762,263.012,262.968],[263.055,263.016,263.028],[319.928,319.388,320.704],[323.584,322.224,322.488],[265.979,265.465,265.375],[266.019,265.543,265.462],[277.018,276.3,276.595],[280.352,279.251,279.572],[279.915,279.896,279.674],[296.377,298.506,297.659],[314.448,314.605,312.57],[302.668,302.672,303.039],[325.81,324.061,324.376],[262.447,262.698,262.704],[267.581,267.467,267.482],[268.085,267.466,267.696],[263.391,263.097,263.126],[38.291,0.435,0.335],[0.127,0.005,0.005],[263.138,263.1,263.092],[0.889,0.341,0.339],[267.586,267.498,267.491],[289.086,290.012,290.093],[263.22,263.071,263.109],[274.78,273.995,273.998],[282.217,281.39,281.47],[429.273,426.588,439.431],[448.808,418.724,418.207],[455.196,422.75,423.142],[299.263,296.937,297.261],[18.693,1.552,1.481],[18.125,0.945,0.937],[18.528,1.062,0.902],[18.268,1.779,1.77],[19.615,1.965,1.966],[18.97,1.435,1.43],[18.33,1.153,0.952]],"source":"timescaledb/results/c6a.4xlarge.json"}
|
||||
,{"system":"Vertica","date":"2022-07-01","machine":"c6a.4xlarge, 500gb gp2","cluster_size":1,"comment":"","tags":["column-oriented"],"load_time":12239,"data_size":22597367016,"result":[[0.031357,0.020759,0.019373],[0.156612,0.033543,0.032149],[0.404881,0.124383,0.124252],[0.220711,0.074036,0.070379],[2.19663,2.18441,2.1763],[11.5901,11.4847,11.4573],[0.160286,0.063093,0.064844],[0.116135,0.047536,0.046322],[2.36592,2.15174,2.15675],[4.42049,4.37322,4.38596],[1.24771,1.17476,1.21011],[1.30116,1.24332,1.24521],[14.0523,13.9236,13.9943],[39.8961,39.7911,39.771],[14.6776,14.5524,14.5899],[2.82581,2.71968,2.72123],[48.4932,48.4037,48.4298],[36.8767,36.7432,36.9178],[108.743,108.81,108.671],[0.02734,0.018601,0.018892],[8.98822,4.2958,4.38323],[10.0097,4.31009,4.26843],[14.2354,5.48257,5.47171],[3.29109,0.405847,0.337797],[0.088318,0.079666,0.091852],[1.05864,1.26979,1.81786],[0.087436,0.092269,0.087506],[15.0424,15.0873,15.2561],[22.1566,22.1208,21.9509],[2.59797,2.46053,2.46406],[3.63938,3.68086,3.68988],[6.58816,4.84546,4.8853],[20.7209,20.4806,20.5823],[77.3779,78.1301,77.4366],[77.2494,77.646,77.4976],[6.79571,6.81133,6.67973],[0.887148,0.782822,0.753053],[0.369373,0.339676,0.338677],[0.099038,0.089598,0.099019],[2.15693,2.01152,2.00868],[0.096018,0.052062,0.053813],[0.058647,0.046352,0.045415],[0.106915,0.077122,0.076134]],"source":"vertica/results/c6a.4xlarge.json"}
|
||||
]; // end of data
|
||||
|
||||
const additional_data_size_points = [
|
||||
{"fake": true, "system": "hits.tsv", "data_size": 74807831229},
|
||||
{"fake": true, "system": "hits.csv", "data_size": 81136059858},
|
||||
{"fake": true, "system": "hits.json", "data_size": 232733025002},
|
||||
{"fake": true, "system": "hits.parquet", "data_size": 14779976446},
|
||||
{"fake": true, "system": "hits.tsv.gz", "data_size": 16298506510},
|
||||
{"fake": true, "system": "hits.csv.gz", "data_size": 16608960810},
|
||||
{"fake": true, "system": "hits.json.gz", "data_size": 23728268670}
|
||||
];
|
||||
</script>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<div class="header stick-left">
|
||||
<span class="nowrap themes"><span id="toggle-dark">🌚</span><span id="toggle-light">🌞</span></span>
|
||||
<h1>ClickBench — a Benchmark For Analytical DBMS</h1>
|
||||
<a href="https://github.com/ClickHouse/ClickBench/">Methodology</a> | <a href="https://github.com/ClickHouse/ClickBench/">Reproduce and Validate the Results</a> | <a href="https://github.com/ClickHouse/ClickBench/">Add a System</a> | <a href="https://github.com/ClickHouse/ClickBench/">Report Mistake</a> | <a href="https://clickhouse.com/benchmark/hardware/">Hardware Benchmark</a>
|
||||
</div>
|
||||
|
||||
<table class="selectors-container stick-left">
|
||||
<tr>
|
||||
<th>System: </th>
|
||||
<td id="selectors_system">
|
||||
<a id="select-all-systems" class="selector selector-active">All</a>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th>Type: </th>
|
||||
<td id="selectors_type">
|
||||
<a id="select-all-types" class="selector selector-active">All</a>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th>Machine: </th>
|
||||
<td id="selectors_machine">
|
||||
<a id="select-all-machines" class="selector selector-active">All</a>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th>Cluster size: </th>
|
||||
<td id="selectors_cluster_size">
|
||||
<a id="select-all-cluster-sizes" class="selector selector-active">All</a>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th>Metric: </th>
|
||||
<td id="selectors_run">
|
||||
<a class="selector" id="selector-metric-cold">Cold Run</a>
|
||||
<a class="selector" id="selector-metric-hot">Hot Run</a>
|
||||
<a class="selector" id="selector-metric-load">Load Time</a>
|
||||
<a class="selector" id="selector-metric-size">Storage Size</a>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<table class="stick-left comparison">
|
||||
<thead>
|
||||
<tr>
|
||||
<th class="summary-name">
|
||||
System & Machine
|
||||
</th>
|
||||
<th colspan="2">
|
||||
Relative <span id="time-or-size">time</span> (lower is better)
|
||||
</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody id="summary">
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
<div id="nothing-selected" class="stick-left">Nothing selected</div>
|
||||
|
||||
<div class="stick-left comparison">
|
||||
<h2>Detailed Comparison</h2>
|
||||
</div>
|
||||
|
||||
<table id="details">
|
||||
<thead>
|
||||
<tr id="details_head">
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody id="details_body">
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
<script type="text/javascript">
|
||||
|
||||
const constant_time_add = 0.01;
|
||||
const missing_result_penalty = 2;
|
||||
const missing_result_time = 300;
|
||||
|
||||
let selectors = {
|
||||
"system": {},
|
||||
"type": {},
|
||||
"machine": {},
|
||||
"cluster_size": {},
|
||||
"metric": "hot",
|
||||
"queries": [],
|
||||
};
|
||||
|
||||
let theme = 'light';
|
||||
|
||||
function setTheme(new_theme) {
|
||||
theme = new_theme;
|
||||
document.documentElement.setAttribute('data-theme', theme);
|
||||
window.localStorage.setItem('theme', theme);
|
||||
render();
|
||||
}
|
||||
|
||||
document.getElementById('toggle-light').addEventListener('click', e => setTheme('light'));
|
||||
document.getElementById('toggle-dark').addEventListener('click', e => setTheme('dark'));
|
||||
|
||||
let new_theme = window.localStorage.getItem('theme');
|
||||
if (new_theme && new_theme != theme) {
|
||||
setTheme(new_theme);
|
||||
}
|
||||
|
||||
/// Generate selectors
|
||||
|
||||
let systems = document.getElementById('selectors_system');
|
||||
let types = document.getElementById('selectors_type');
|
||||
let machines = document.getElementById('selectors_machine');
|
||||
let cluster_sizes = document.getElementById('selectors_cluster_size');
|
||||
|
||||
let unique_systems = [... new Set(data.map(elem => elem.system))];
|
||||
|
||||
function toggle(e, elem, selectors_map) {
|
||||
selectors_map[elem] = !selectors_map[elem];
|
||||
e.target.className = selectors_map[elem] ? 'selector selector-active' : 'selector';
|
||||
render();
|
||||
updateHistory();
|
||||
}
|
||||
|
||||
function toggleAll(e, selectors_map) {
|
||||
const new_value = Object.keys(selectors_map).filter(k => selectors_map[k]).length * 2 < Object.keys(selectors_map).length;
|
||||
[...e.target.parentElement.querySelectorAll('a')].map(
|
||||
elem => { elem.className = new_value ? 'selector selector-active' : 'selector' });
|
||||
|
||||
Object.keys(selectors_map).map(k => { selectors_map[k] = new_value });
|
||||
render();
|
||||
updateHistory();
|
||||
}
|
||||
|
||||
unique_systems.map(elem => {
|
||||
let selector = document.createElement('a');
|
||||
selector.className = 'selector selector-active';
|
||||
selector.appendChild(document.createTextNode(elem));
|
||||
systems.appendChild(selector);
|
||||
if (!(elem in selectors.system)) { selectors.system[elem] = true; }
|
||||
selector.addEventListener('click', e => toggle(e, elem, selectors.system));
|
||||
|
||||
/// Highlighting summary rows and table columns on hovering over the system selector.
|
||||
selector.addEventListener('mouseover', e => {
|
||||
[...document.querySelectorAll('.summary-row')].map(row => {
|
||||
row.className = row.dataset.system == elem ? 'summary-row summary-row-hilite' : 'summary-row' });
|
||||
[...document.querySelectorAll('.th-entry')].map(th => {
|
||||
th.className = th.dataset.system == elem ? 'th-entry th-entry-hilite' : 'th-entry' });
|
||||
});
|
||||
selector.addEventListener('mouseout', e => {
|
||||
[...document.querySelectorAll('.summary-row')].map(row => { row.className = 'summary-row' });
|
||||
[...document.querySelectorAll('.th-entry')].map(row => { row.className = 'th-entry' });
|
||||
});
|
||||
});
|
||||
|
||||
[... new Set(data.map(elem => elem.tags).flat())].map(elem => {
|
||||
let selector = document.createElement('a');
|
||||
selector.className = 'selector selector-active';
|
||||
selector.appendChild(document.createTextNode(elem));
|
||||
types.appendChild(selector);
|
||||
if (!(elem in selectors.type)) { selectors.type[elem] = true; }
|
||||
selector.addEventListener('click', e => toggle(e, elem, selectors.type));
|
||||
});
|
||||
|
||||
[... new Set(data.map(elem => elem.machine))].map(elem => {
|
||||
let selector = document.createElement('a');
|
||||
selector.className = 'selector selector-active';
|
||||
selector.appendChild(document.createTextNode(elem));
|
||||
machines.appendChild(selector);
|
||||
if (!(elem in selectors.machine)) { selectors.machine[elem] = true; }
|
||||
selector.addEventListener('click', e => toggle(e, elem, selectors.machine));
|
||||
});
|
||||
|
||||
[... new Set(data.map(elem => elem.cluster_size))].sort(
|
||||
(a, b) => ((typeof(b) === 'number') - (typeof(a) === 'number')) || (a - b)).map(elem => {
|
||||
let selector = document.createElement('a');
|
||||
selector.className = 'selector selector-active';
|
||||
selector.appendChild(document.createTextNode(elem));
|
||||
cluster_sizes.appendChild(selector);
|
||||
if (!(elem in selectors.cluster_size)) { selectors.cluster_size[elem] = true; }
|
||||
selector.addEventListener('click', e => toggle(e, elem, selectors.cluster_size));
|
||||
});
|
||||
|
||||
document.getElementById('select-all-systems').addEventListener('click', e => toggleAll(e, selectors.system));
|
||||
document.getElementById('select-all-types').addEventListener('click', e => toggleAll(e, selectors.type));
|
||||
document.getElementById('select-all-machines').addEventListener('click', e => toggleAll(e, selectors.machine));
|
||||
document.getElementById('select-all-cluster-sizes').addEventListener('click', e => toggleAll(e, selectors.cluster_size));
|
||||
|
||||
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => elem.addEventListener('click', e => {
|
||||
[...e.target.parentElement.querySelectorAll('a')].map(elem => { elem.className = elem == e.target ? 'selector selector-active' : 'selector' });
|
||||
}));
|
||||
|
||||
document.getElementById('selector-metric-cold').addEventListener('click', e => { selectors.metric = 'cold'; render(); updateHistory(); });
|
||||
document.getElementById('selector-metric-hot').addEventListener('click', e => { selectors.metric = 'hot'; render(); updateHistory(); });
|
||||
document.getElementById('selector-metric-load').addEventListener('click', e => { selectors.metric = 'load'; render(); updateHistory(); });
|
||||
document.getElementById('selector-metric-size').addEventListener('click', e => { selectors.metric = 'size'; render(); updateHistory(); });
|
||||
|
||||
selectors.queries = [...data[0].result.keys()].map(k => true);
|
||||
|
||||
function updateSelectors() {
|
||||
[...systems.childNodes].map(elem => { elem.className = selectors.system[elem.innerText] ? 'selector selector-active' : 'selector' });
|
||||
[...types.childNodes].map(elem => { elem.className = selectors.type[elem.innerText] ? 'selector selector-active' : 'selector' });
|
||||
[...machines.childNodes].map(elem => { elem.className = selectors.machine[elem.innerText] ? 'selector selector-active' : 'selector' });
|
||||
[...cluster_sizes.childNodes].map(elem => { elem.className = selectors.cluster_size[elem.innerText] ? 'selector selector-active' : 'selector' });
|
||||
|
||||
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => {
|
||||
elem.className = elem.id == 'selector-metric-' + selectors.metric ? 'selector selector-active' : 'selector' });
|
||||
|
||||
[...document.querySelectorAll('.query-checkbox')].map((elem, i) => { elem.checked = selectors.queries[i] });
|
||||
}
|
||||
|
||||
function clearElement(elem)
|
||||
{
|
||||
while (elem.firstChild) {
|
||||
elem.removeChild(elem.lastChild);
|
||||
}
|
||||
}
|
||||
|
||||
function selectRun(timings) {
|
||||
return selectors.metric == 'cold' ? timings[0] : (timings[1] !== null && timings[2] !== null ? Math.min(timings[1], timings[2]) : null)
|
||||
}
|
||||
|
||||
function addNote(text) {
|
||||
let note = document.createElement('sup');
|
||||
note.className = 'note';
|
||||
note.appendChild(document.createTextNode('†'));
|
||||
|
||||
let tooltip = document.createElement('span');
|
||||
tooltip.className = 'tooltip tooltip-result';
|
||||
tooltip.appendChild(document.createTextNode(text));
|
||||
|
||||
note.appendChild(tooltip);
|
||||
return note;
|
||||
}
|
||||
|
||||
function renderSummary(filtered_data) {
|
||||
let table = document.getElementById('summary');
|
||||
clearElement(table);
|
||||
|
||||
/// Generate summary
|
||||
|
||||
/// The algorithm: for each of the queries,
|
||||
/// - if there is a result - take query duration, add 10 ms, and divide it to the corresponding value from the baseline,
|
||||
/// - if there is no result - take the worse query duration across all query runs for this system and multiply by 2.
|
||||
/// Take geometric mean across the queries.
|
||||
|
||||
let summary = {};
|
||||
|
||||
const num_queries = filtered_data[0].result.length;
|
||||
|
||||
const baseline_data = [...filtered_data[0].result.keys()].map(query_num =>
|
||||
[...Array(3).keys()].map(run_num =>
|
||||
Math.min(...filtered_data.filter(elem => !elem.fake).map(elem => elem.result[query_num][run_num]).filter(x => x))));
|
||||
|
||||
const min_load_time = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
|
||||
const min_data_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
|
||||
|
||||
let summaries;
|
||||
if (selectors.metric == 'load') {
|
||||
summaries = filtered_data.map(elem => elem.load_time / min_load_time);
|
||||
document.getElementById('time-or-size').innerText = 'time';
|
||||
} else if (selectors.metric == 'size') {
|
||||
summaries = filtered_data.map(elem => elem.data_size / min_data_size);
|
||||
document.getElementById('time-or-size').innerText = 'size';
|
||||
} else {
|
||||
summaries = filtered_data.map(elem => {
|
||||
const fallback_timing = missing_result_penalty * Math.max(missing_result_time, ...elem.result.map(timings => selectRun(timings)));
|
||||
|
||||
let accumulator = 0;
|
||||
let used_queries = 0;
|
||||
|
||||
const no_queries_selected = selectors.queries.filter(x => x).length == 0;
|
||||
|
||||
for (let i = 0; i < num_queries; ++i) {
|
||||
if (no_queries_selected || selectors.queries[i]) {
|
||||
const curr_timing = selectRun(elem.result[i]) ?? fallback_timing;
|
||||
const baseline_timing = selectRun(baseline_data[i]);
|
||||
const ratio = (constant_time_add + curr_timing) / (constant_time_add + baseline_timing);
|
||||
accumulator += Math.log(ratio);
|
||||
++used_queries;
|
||||
}
|
||||
}
|
||||
|
||||
return Math.exp(accumulator / used_queries);
|
||||
});
|
||||
document.getElementById('time-or-size').innerText = 'time';
|
||||
}
|
||||
|
||||
const sorted_indices = [...summaries.keys()].sort((a, b) => summaries[a] - summaries[b]);
|
||||
const max_ratio = summaries[sorted_indices[sorted_indices.length - 1]];
|
||||
|
||||
sorted_indices.map(idx => {
|
||||
const elem = filtered_data[idx];
|
||||
|
||||
if (selectors.metric == 'size' && elem.data_size === null) { return; }
|
||||
|
||||
let tr = document.createElement('tr');
|
||||
tr.className = 'summary-row';
|
||||
|
||||
tr.dataset.system = elem.system;
|
||||
|
||||
let td_name = document.createElement('td');
|
||||
td_name.className = 'summary-name';
|
||||
|
||||
if (!elem.fake) {
|
||||
let link = document.createElement('a');
|
||||
link.appendChild(document.createTextNode(`${elem.system} (${elem.machine})`));
|
||||
link.href = "https://github.com/ClickHouse/ClickBench/blob/main/" + elem.source;
|
||||
td_name.appendChild(link);
|
||||
} else {
|
||||
td_name.appendChild(document.createTextNode(elem.system));
|
||||
}
|
||||
|
||||
if (elem.comment) { td_name.appendChild(addNote(elem.comment)); }
|
||||
td_name.appendChild(document.createTextNode(': '));
|
||||
|
||||
const ratio = summaries[idx];
|
||||
const percentage = summaries[idx] / max_ratio * 100;
|
||||
|
||||
let td_number = document.createElement('td');
|
||||
td_number.className = 'summary-number';
|
||||
|
||||
const text = selectors.metric == 'load' ? (elem.load_time ? `${Math.round(elem.load_time)}s (×${ratio.toFixed(2)})` : 'stateless')
|
||||
: selectors.metric == 'size' ? `${(elem.data_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})`
|
||||
: `×${ratio.toFixed(2)}`;
|
||||
|
||||
td_number.appendChild(document.createTextNode(text));
|
||||
|
||||
let td_bar = document.createElement('td');
|
||||
td_bar.className = 'summary-bar-cell';
|
||||
|
||||
let bar = document.createElement('div');
|
||||
|
||||
bar.className = `summary-bar`;
|
||||
bar.style.width = `${percentage}%`;
|
||||
|
||||
td_bar.appendChild(bar);
|
||||
|
||||
tr.appendChild(td_name);
|
||||
tr.appendChild(td_bar);
|
||||
tr.appendChild(td_number);
|
||||
table.appendChild(tr);
|
||||
});
|
||||
|
||||
return [sorted_indices, baseline_data];
|
||||
}
|
||||
|
||||
function colorize(elem, ratio) {
|
||||
let [r, g, b] = [0, 0, 0];
|
||||
|
||||
/// ratio less than 1 - green
|
||||
/// ratio from 1 to 2 - green to yellow
|
||||
/// ratio from 2 to 10 - yellow to red
|
||||
/// ratio from 10 to 1000 to infinity - red to brown to black
|
||||
|
||||
/// Note: we are using RGB space without proper gamma correction. Read more: https://www.handprint.com/HP/WCL/color1.html
|
||||
|
||||
if (ratio !== null) {
|
||||
if (ratio < 1) {
|
||||
r = 232;
|
||||
g = 255;
|
||||
b = 232;
|
||||
} else if (ratio <= 1) {
|
||||
g = 255;
|
||||
} else if (ratio <= 2) {
|
||||
g = 255;
|
||||
r = (ratio - 1) * 255;
|
||||
} else if (ratio <= 10) {
|
||||
g = (10 - ratio) / 8 * 255;
|
||||
r = 255;
|
||||
} else {
|
||||
r = (1 - ((ratio - 10) / ((ratio - 10) + 1000))) * 255;
|
||||
}
|
||||
}
|
||||
|
||||
if (document.documentElement.getAttribute('data-theme') == 'dark') {
|
||||
r /= 1.5;
|
||||
g /= 1.5;
|
||||
b /= 1.5;
|
||||
}
|
||||
|
||||
elem.style.backgroundColor = `rgb(${r}, ${g}, ${b})`;
|
||||
if (ratio === null || ratio > 10) {
|
||||
/// This will look better on dark backgrounds
|
||||
elem.style.color = 'white';
|
||||
} else {
|
||||
elem.style.color = 'black';
|
||||
}
|
||||
|
||||
/// The best result is highlighted
|
||||
if (ratio == 1) {
|
||||
elem.style.fontWeight = 'bold';
|
||||
}
|
||||
}
|
||||
|
||||
function render() {
|
||||
let details_head = document.getElementById('details_head');
|
||||
let details_body = document.getElementById('details_body');
|
||||
|
||||
clearElement(details_head);
|
||||
clearElement(details_body);
|
||||
|
||||
let filtered_data = data.filter(elem =>
|
||||
selectors.system[elem.system] &&
|
||||
selectors.machine[elem.machine] &&
|
||||
selectors.cluster_size[elem.cluster_size] &&
|
||||
elem.tags.filter(type => selectors.type[type]).length > 0);
|
||||
|
||||
let nothing_selected_elem = document.getElementById('nothing-selected');
|
||||
if (filtered_data.length == 0) {
|
||||
nothing_selected_elem.style.display = 'block';
|
||||
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'none');
|
||||
return;
|
||||
}
|
||||
nothing_selected_elem.style.display = 'none';
|
||||
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'block');
|
||||
|
||||
if (selectors.metric == 'size') {
|
||||
filtered_data = [...filtered_data, ...additional_data_size_points];
|
||||
}
|
||||
|
||||
let [sorted_indices, baseline_data] = renderSummary(filtered_data);
|
||||
sorted_indices = sorted_indices.filter(idx => !filtered_data[idx].fake);
|
||||
|
||||
/// Generate details
|
||||
|
||||
/// Global checkbox
|
||||
{
|
||||
let th_checkbox = document.createElement('th');
|
||||
let checkbox = document.createElement('input');
|
||||
checkbox.type = 'checkbox';
|
||||
checkbox.checked = true;
|
||||
checkbox.addEventListener('change', e => {
|
||||
[...document.querySelectorAll('.query-checkbox')].map(elem => { elem.checked = e.target.checked });
|
||||
selectors.queries.map((_, i) => { selectors.queries[i] = e.target.checked });
|
||||
renderSummary(filtered_data);
|
||||
updateHistory();
|
||||
});
|
||||
th_checkbox.appendChild(checkbox);
|
||||
details_head.appendChild(th_checkbox);
|
||||
details_head.appendChild(document.createElement('th'));
|
||||
}
|
||||
|
||||
/// Table header
|
||||
sorted_indices.map(idx => {
|
||||
const elem = filtered_data[idx];
|
||||
let th = document.createElement('th');
|
||||
th.appendChild(document.createTextNode(`${elem.system}\n(${elem.machine})`));
|
||||
th.className = 'th-entry';
|
||||
th.dataset.system = elem.system;
|
||||
details_head.appendChild(th);
|
||||
});
|
||||
|
||||
/// Load times
|
||||
{
|
||||
let tr = document.createElement('tr');
|
||||
tr.className = 'shadow';
|
||||
|
||||
let td_title = document.createElement('td');
|
||||
td_title.colSpan = 2;
|
||||
td_title.appendChild(document.createTextNode('Load time: '));
|
||||
tr.appendChild(td_title);
|
||||
|
||||
sorted_indices.map(idx => {
|
||||
const curr_timing = filtered_data[idx].load_time;
|
||||
const baseline_timing = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
|
||||
const ratio = curr_timing / baseline_timing;
|
||||
|
||||
let td = document.createElement('td');
|
||||
td.appendChild(document.createTextNode(curr_timing ? `${Math.round(curr_timing)}s (×${ratio.toFixed(2)})` : '0'));
|
||||
|
||||
colorize(td, ratio);
|
||||
tr.appendChild(td);
|
||||
});
|
||||
|
||||
details_body.appendChild(tr);
|
||||
}
|
||||
|
||||
/// Data sizes
|
||||
{
|
||||
let tr = document.createElement('tr');
|
||||
tr.className = 'shadow';
|
||||
|
||||
let td_title = document.createElement('td');
|
||||
td_title.colSpan = 2;
|
||||
td_title.appendChild(document.createTextNode('Data size: '));
|
||||
tr.appendChild(td_title);
|
||||
|
||||
sorted_indices.map(idx => {
|
||||
const curr_size = filtered_data[idx].data_size;
|
||||
const baseline_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
|
||||
const ratio = curr_size !== null ? curr_size / baseline_size : null;
|
||||
|
||||
let td = document.createElement('td');
|
||||
td.appendChild(document.createTextNode(curr_size !== null ? `${(curr_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})` : '☠'));
|
||||
|
||||
colorize(td, ratio);
|
||||
tr.appendChild(td);
|
||||
});
|
||||
|
||||
details_body.appendChild(tr);
|
||||
}
|
||||
|
||||
/// Query runtimes
|
||||
const num_queries = filtered_data[0].result.length;
|
||||
|
||||
for (let query_num = 0; query_num < num_queries; ++query_num) {
|
||||
let tr = document.createElement('tr');
|
||||
tr.className = 'shadow';
|
||||
|
||||
let td_checkbox = document.createElement('td');
|
||||
let checkbox = document.createElement('input');
|
||||
checkbox.type = 'checkbox';
|
||||
checkbox.className = 'query-checkbox';
|
||||
checkbox.checked = selectors.queries[query_num];
|
||||
checkbox.addEventListener('change', e => {
|
||||
selectors.queries[query_num] = e.target.checked;
|
||||
renderSummary(filtered_data);
|
||||
updateHistory();
|
||||
});
|
||||
td_checkbox.appendChild(checkbox);
|
||||
tr.appendChild(td_checkbox);
|
||||
|
||||
let td_query_num = document.createElement('td');
|
||||
td_query_num.className = 'note';
|
||||
td_query_num.appendChild(document.createTextNode(`Q${query_num}. `));
|
||||
|
||||
let tooltip = document.createElement('span');
|
||||
tooltip.className = 'tooltip tooltip-query';
|
||||
tooltip.appendChild(document.createTextNode(`Query ${query_num}: ${queries[query_num]}`));
|
||||
td_query_num.appendChild(tooltip);
|
||||
|
||||
tr.appendChild(td_query_num);
|
||||
|
||||
sorted_indices.map(idx => {
|
||||
const curr_timing = selectRun(filtered_data[idx].result[query_num]);
|
||||
const baseline_timing = selectRun(baseline_data[query_num]);
|
||||
const ratio = curr_timing !== null ? (constant_time_add + curr_timing) / (constant_time_add + baseline_timing) : null;
|
||||
|
||||
let td = document.createElement('td');
|
||||
td.appendChild(document.createTextNode(curr_timing !== null ? `${curr_timing.toFixed(2)}s (×${ratio.toFixed(2)})` : '☠'));
|
||||
|
||||
colorize(td, ratio);
|
||||
tr.appendChild(td);
|
||||
});
|
||||
|
||||
details_body.appendChild(tr);
|
||||
}
|
||||
}
|
||||
|
||||
function updateHistory() {
|
||||
history.pushState(selectors, '',
|
||||
window.location.pathname + (window.location.search || '') + '#' + btoa(JSON.stringify(selectors)));
|
||||
}
|
||||
|
||||
window.onpopstate = function(event) {
|
||||
if (!event.state) { return; }
|
||||
selectors = event.state;
|
||||
render();
|
||||
updateSelectors();
|
||||
};
|
||||
|
||||
if (window.location.hash) {
|
||||
try {
|
||||
selectors = JSON.parse(atob(window.location.hash.substring(1)));
|
||||
} catch {}
|
||||
}
|
||||
|
||||
render();
|
||||
updateSelectors();
|
||||
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
@ -1,38 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Install
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y docker.io
|
||||
|
||||
mkdir infobright
|
||||
sudo docker run --name mysql_ib -e MYSQL_ROOT_PASSWORD=mypass -v $(pwd)/infobright:/mnt/mysql_data -p 5029:5029 -p 5555 -d flolas/infobright
|
||||
|
||||
sudo docker run -it --rm --network host mysql:5 mysql --host 127.0.0.1 --port 5029 --user=root --password=mypass -e "CREATE DATABASE test"
|
||||
sudo docker run -it --rm --network host mysql:5 mysql --host 127.0.0.1 --port 5029 --user=root --password=mypass --database=test -e "$(cat create.sql)"
|
||||
|
||||
# Load the data
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.tsv.gz'
|
||||
gzip -d hits.tsv.gz
|
||||
|
||||
# ERROR 2 (HY000) at line 1: Wrong data or column definition. Row: 93557187, field: 100.
|
||||
head -n 90000000 hits.tsv > hits90m.tsv
|
||||
|
||||
time sudo docker run -it --rm --volume $(pwd):/workdir --network host mysql:5 mysql --host 127.0.0.1 --port 5029 --user=root --password=mypass --database=test -e "
|
||||
LOAD DATA LOCAL INFILE '/workdir/hits90m.tsv' INTO TABLE test.hits
|
||||
FIELDS TERMINATED BY '\\t' ENCLOSED BY '' ESCAPED BY '\\\\' LINES TERMINATED BY '\\n' STARTING BY ''"
|
||||
|
||||
# 38m37.466s
|
||||
|
||||
sudo docker exec mysql_ib du -bcs /mnt/mysql_data/ /usr/local/infobright-4.0.7-x86_64/cache
|
||||
|
||||
# 13 760 341 294
|
||||
|
||||
./run.sh 2>&1 | log
|
||||
|
||||
cat log.txt |
|
||||
grep -P 'rows? in set|Empty set|^ERROR' |
|
||||
sed -r -e 's/^ERROR.*$/null/; s/^.*?\((([0-9.]+) days? )?(([0-9.]+) hours? )?(([0-9.]+) min )?([0-9.]+) sec\).*?$/\2,\4,\6,\7/' |
|
||||
awk -F, '{ if ($1 == "null") { print } else { print $1 * 86400 + $2 * 3600 + $3 * 60 + $4 } }' |
|
||||
awk '{ if (i % 3 == 0) { printf "[" }; printf $1; if (i % 3 != 2) { printf "," } else { print "]," }; ++i; }'
|
||||
@ -1,108 +0,0 @@
|
||||
CREATE TABLE hits
|
||||
(
|
||||
WatchID BIGINT NOT NULL,
|
||||
JavaEnable SMALLINT NOT NULL,
|
||||
Title TEXT,
|
||||
GoodEvent SMALLINT NOT NULL,
|
||||
EventTime TIMESTAMP NOT NULL,
|
||||
EventDate Date NOT NULL,
|
||||
CounterID INTEGER NOT NULL,
|
||||
ClientIP INTEGER NOT NULL,
|
||||
RegionID INTEGER NOT NULL,
|
||||
UserID BIGINT NOT NULL,
|
||||
CounterClass SMALLINT NOT NULL,
|
||||
OS SMALLINT NOT NULL,
|
||||
UserAgent SMALLINT NOT NULL,
|
||||
URL TEXT,
|
||||
Referer TEXT,
|
||||
IsRefresh SMALLINT NOT NULL,
|
||||
RefererCategoryID SMALLINT NOT NULL,
|
||||
RefererRegionID INTEGER NOT NULL,
|
||||
URLCategoryID SMALLINT NOT NULL,
|
||||
URLRegionID INTEGER NOT NULL,
|
||||
ResolutionWidth SMALLINT NOT NULL,
|
||||
ResolutionHeight SMALLINT NOT NULL,
|
||||
ResolutionDepth SMALLINT NOT NULL,
|
||||
FlashMajor SMALLINT NOT NULL,
|
||||
FlashMinor SMALLINT NOT NULL,
|
||||
FlashMinor2 TEXT,
|
||||
NetMajor SMALLINT NOT NULL,
|
||||
NetMinor SMALLINT NOT NULL,
|
||||
UserAgentMajor SMALLINT NOT NULL,
|
||||
UserAgentMinor VARCHAR(255) NOT NULL,
|
||||
CookieEnable SMALLINT NOT NULL,
|
||||
JavascriptEnable SMALLINT NOT NULL,
|
||||
IsMobile SMALLINT NOT NULL,
|
||||
MobilePhone SMALLINT NOT NULL,
|
||||
MobilePhoneModel TEXT,
|
||||
Params TEXT,
|
||||
IPNetworkID INTEGER NOT NULL,
|
||||
TraficSourceID SMALLINT NOT NULL,
|
||||
SearchEngineID SMALLINT NOT NULL,
|
||||
SearchPhrase TEXT,
|
||||
AdvEngineID SMALLINT NOT NULL,
|
||||
IsArtifical SMALLINT NOT NULL,
|
||||
WindowClientWidth SMALLINT NOT NULL,
|
||||
WindowClientHeight SMALLINT NOT NULL,
|
||||
ClientTimeZone SMALLINT NOT NULL,
|
||||
ClientEventTime TIMESTAMP NOT NULL,
|
||||
SilverlightVersion1 SMALLINT NOT NULL,
|
||||
SilverlightVersion2 SMALLINT NOT NULL,
|
||||
SilverlightVersion3 INTEGER NOT NULL,
|
||||
SilverlightVersion4 SMALLINT NOT NULL,
|
||||
PageCharset TEXT,
|
||||
CodeVersion INTEGER NOT NULL,
|
||||
IsLink SMALLINT NOT NULL,
|
||||
IsDownload SMALLINT NOT NULL,
|
||||
IsNotBounce SMALLINT NOT NULL,
|
||||
FUniqID BIGINT NOT NULL,
|
||||
OriginalURL TEXT,
|
||||
HID INTEGER NOT NULL,
|
||||
IsOldCounter SMALLINT NOT NULL,
|
||||
IsEvent SMALLINT NOT NULL,
|
||||
IsParameter SMALLINT NOT NULL,
|
||||
DontCountHits SMALLINT NOT NULL,
|
||||
WithHash SMALLINT NOT NULL,
|
||||
HitColor CHAR NOT NULL,
|
||||
LocalEventTime TIMESTAMP NOT NULL,
|
||||
Age SMALLINT NOT NULL,
|
||||
Sex SMALLINT NOT NULL,
|
||||
Income SMALLINT NOT NULL,
|
||||
Interests SMALLINT NOT NULL,
|
||||
Robotness SMALLINT NOT NULL,
|
||||
RemoteIP INTEGER NOT NULL,
|
||||
WindowName INTEGER NOT NULL,
|
||||
OpenerName INTEGER NOT NULL,
|
||||
HistoryLength SMALLINT NOT NULL,
|
||||
BrowserLanguage TEXT,
|
||||
BrowserCountry TEXT,
|
||||
SocialNetwork TEXT,
|
||||
SocialAction TEXT,
|
||||
HTTPError SMALLINT NOT NULL,
|
||||
SendTiming INTEGER NOT NULL,
|
||||
DNSTiming INTEGER NOT NULL,
|
||||
ConnectTiming INTEGER NOT NULL,
|
||||
ResponseStartTiming INTEGER NOT NULL,
|
||||
ResponseEndTiming INTEGER NOT NULL,
|
||||
FetchTiming INTEGER NOT NULL,
|
||||
SocialSourceNetworkID SMALLINT NOT NULL,
|
||||
SocialSourcePage TEXT,
|
||||
ParamPrice BIGINT NOT NULL,
|
||||
ParamOrderID TEXT,
|
||||
ParamCurrency TEXT,
|
||||
ParamCurrencyID SMALLINT NOT NULL,
|
||||
OpenstatServiceName TEXT,
|
||||
OpenstatCampaignID TEXT,
|
||||
OpenstatAdID TEXT,
|
||||
OpenstatSourceID TEXT,
|
||||
UTMSource TEXT,
|
||||
UTMMedium TEXT,
|
||||
UTMCampaign TEXT,
|
||||
UTMContent TEXT,
|
||||
UTMTerm TEXT,
|
||||
FromTag TEXT,
|
||||
HasGCLID SMALLINT NOT NULL,
|
||||
RefererHash BIGINT NOT NULL,
|
||||
URLHash BIGINT NOT NULL,
|
||||
CLID INTEGER NOT NULL
|
||||
);
|
||||
@ -1,43 +0,0 @@
|
||||
SELECT COUNT(*) FROM hits;
|
||||
SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
|
||||
SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
|
||||
SELECT AVG(UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT UserID) FROM hits;
|
||||
SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
|
||||
SELECT MIN(EventDate), MAX(EventDate) FROM hits;
|
||||
SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
|
||||
SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
|
||||
SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
|
||||
SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
|
||||
SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
|
||||
SELECT UserID, extract(minute FROM EventTime) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
|
||||
SELECT UserID FROM hits WHERE UserID = 435090932899640449;
|
||||
SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
|
||||
SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
|
||||
SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
|
||||
SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime, SearchPhrase LIMIT 10;
|
||||
SELECT CounterID, AVG(length(URL)) AS l, COUNT(*) AS c FROM hits WHERE URL <> '' GROUP BY CounterID HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT REGEXP_REPLACE(Referer, '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length(Referer)) AS l, COUNT(*) AS c, MIN(Referer) FROM hits WHERE Referer <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
|
||||
SELECT SUM(ResolutionWidth), SUM(ResolutionWidth + 1), SUM(ResolutionWidth + 2), SUM(ResolutionWidth + 3), SUM(ResolutionWidth + 4), SUM(ResolutionWidth + 5), SUM(ResolutionWidth + 6), SUM(ResolutionWidth + 7), SUM(ResolutionWidth + 8), SUM(ResolutionWidth + 9), SUM(ResolutionWidth + 10), SUM(ResolutionWidth + 11), SUM(ResolutionWidth + 12), SUM(ResolutionWidth + 13), SUM(ResolutionWidth + 14), SUM(ResolutionWidth + 15), SUM(ResolutionWidth + 16), SUM(ResolutionWidth + 17), SUM(ResolutionWidth + 18), SUM(ResolutionWidth + 19), SUM(ResolutionWidth + 20), SUM(ResolutionWidth + 21), SUM(ResolutionWidth + 22), SUM(ResolutionWidth + 23), SUM(ResolutionWidth + 24), SUM(ResolutionWidth + 25), SUM(ResolutionWidth + 26), SUM(ResolutionWidth + 27), SUM(ResolutionWidth + 28), SUM(ResolutionWidth + 29), SUM(ResolutionWidth + 30), SUM(ResolutionWidth + 31), SUM(ResolutionWidth + 32), SUM(ResolutionWidth + 33), SUM(ResolutionWidth + 34), SUM(ResolutionWidth + 35), SUM(ResolutionWidth + 36), SUM(ResolutionWidth + 37), SUM(ResolutionWidth + 38), SUM(ResolutionWidth + 39), SUM(ResolutionWidth + 40), SUM(ResolutionWidth + 41), SUM(ResolutionWidth + 42), SUM(ResolutionWidth + 43), SUM(ResolutionWidth + 44), SUM(ResolutionWidth + 45), SUM(ResolutionWidth + 46), SUM(ResolutionWidth + 47), SUM(ResolutionWidth + 48), SUM(ResolutionWidth + 49), SUM(ResolutionWidth + 50), SUM(ResolutionWidth + 51), SUM(ResolutionWidth + 52), SUM(ResolutionWidth + 53), SUM(ResolutionWidth + 54), SUM(ResolutionWidth + 55), SUM(ResolutionWidth + 56), SUM(ResolutionWidth + 57), SUM(ResolutionWidth + 58), SUM(ResolutionWidth + 59), SUM(ResolutionWidth + 60), SUM(ResolutionWidth + 61), SUM(ResolutionWidth + 62), SUM(ResolutionWidth + 63), SUM(ResolutionWidth + 64), SUM(ResolutionWidth + 65), SUM(ResolutionWidth + 66), SUM(ResolutionWidth + 67), SUM(ResolutionWidth + 68), SUM(ResolutionWidth + 69), SUM(ResolutionWidth + 70), SUM(ResolutionWidth + 71), SUM(ResolutionWidth + 72), SUM(ResolutionWidth + 73), SUM(ResolutionWidth + 74), SUM(ResolutionWidth + 75), SUM(ResolutionWidth + 76), SUM(ResolutionWidth + 77), SUM(ResolutionWidth + 78), SUM(ResolutionWidth + 79), SUM(ResolutionWidth + 80), SUM(ResolutionWidth + 81), SUM(ResolutionWidth + 82), SUM(ResolutionWidth + 83), SUM(ResolutionWidth + 84), SUM(ResolutionWidth + 85), SUM(ResolutionWidth + 86), SUM(ResolutionWidth + 87), SUM(ResolutionWidth + 88), SUM(ResolutionWidth + 89) FROM hits;
|
||||
SELECT SearchEngineID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits WHERE SearchPhrase <> '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT WatchID, ClientIP, COUNT(*) AS c, SUM(IsRefresh), AVG(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
|
||||
SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
|
||||
SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
|
||||
SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
|
||||
SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
|
||||
SELECT DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') ORDER BY DATE_FORMAT(EventTime, '%Y-%m-%d %H:00:00') LIMIT 10 OFFSET 1000;
|
||||
@ -1,58 +0,0 @@
|
||||
{
|
||||
"system": "Infobright",
|
||||
"date": "2022-07-01",
|
||||
"machine": "c6a.4xlarge, 500gb gp2",
|
||||
"cluster_size": 1,
|
||||
"comment": "Only 90% of data successfully loaded. Some queries run for days.",
|
||||
|
||||
"tags": ["C++", "column-oriented", "MySQL compatible"],
|
||||
|
||||
"load_time": 2317,
|
||||
"data_size": 13760341294,
|
||||
|
||||
"result": [
|
||||
[0.01, 0, 0],
|
||||
[2.39, 2.4, 2.44],
|
||||
[0, 0, 0],
|
||||
[7.21, 6.04, 6.91],
|
||||
[16.09, 16.86, 15.69],
|
||||
[48.8, 42.37, 48.63],
|
||||
[0, 0, 0],
|
||||
[3.48, 2.42, 2.42],
|
||||
[23.56, 24.78, 22.21],
|
||||
[32.87, 31.71, 34.48],
|
||||
[14.8, 14.83, 14.11],
|
||||
[16.7, 16.53, 17.37],
|
||||
[1752.91, 1999.88, 1961.4],
|
||||
[1193.43, 1167, 1220.47],
|
||||
[2184.81, 2316.12, 2224.14],
|
||||
[32.58, 30.69, 31.58],
|
||||
[300.17, 16221.33, 16168.44],
|
||||
[122.4, 120.49, 124.67],
|
||||
[78927.44, 79250.44, 78504.89],
|
||||
[3.38, 1.22, 1.21],
|
||||
[289.73, 302.3, 285.83],
|
||||
[415.82, 389.23, 403.28],
|
||||
[573.82, 590.81, 575.06],
|
||||
[300.13, 293.96, 285.64],
|
||||
[41.42, 37.48, 39.64],
|
||||
[75.2, 75.37, 72.07],
|
||||
[39.22, 41.52, 40.11],
|
||||
[449.56, 445.03, 448.68],
|
||||
[null, null, null],
|
||||
[450.87, 488.3, 453.83],
|
||||
[58.69, 59.29, 58.07],
|
||||
[84.47, 78.92, 79.38],
|
||||
[517.97, 520.29, 504.96],
|
||||
[182468.89, 182468.89, 182468.89],
|
||||
[182468.89, 182468.89, 182468.89],
|
||||
[68.43, 66.93, 67.68],
|
||||
[8.3, 3.62, 3.61],
|
||||
[1.04, 0.62, 0.62],
|
||||
[0.22, 0.18, 0.18],
|
||||
[567.78, 566.52, 563.02],
|
||||
[0.29, 0.14, 0.11],
|
||||
[0.17, 0.08, 0.08],
|
||||
[1.37, 1.34, 1.32]
|
||||
]
|
||||
}
|
||||
@ -1,12 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
TRIES=3
|
||||
|
||||
cat queries.sql | while read query; do
|
||||
sync
|
||||
echo 3 | sudo tee /proc/sys/vm/drop_caches
|
||||
|
||||
for i in $(seq 1 $TRIES); do
|
||||
sudo docker run --rm --network host mysql:5 mysql --host 127.0.0.1 --port 5029 --user=root --password=mypass --database=test -vvv -e "${query}"
|
||||
done;
|
||||
done;
|
||||
@ -1,24 +0,0 @@
|
||||
This system does not work at all:
|
||||
|
||||
```
|
||||
locustdb> SELECT * FROM default LIMIT 1
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
```
|
||||
|
||||
It is memory-safe and blazing fast.
|
||||
@ -1,46 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# https://rustup.rs/
|
||||
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
|
||||
source $HOME/.cargo/env
|
||||
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y git
|
||||
|
||||
git clone https://github.com/cswinter/LocustDB.git
|
||||
cd LocustDB
|
||||
|
||||
sudo apt-get install -y g++ capnproto libclang-14-dev
|
||||
|
||||
cargo build --features "enable_rocksdb" --features "enable_lz4" --release
|
||||
|
||||
wget --continue 'https://datasets.clickhouse.com/hits_compatible/hits.csv.gz'
|
||||
gzip -d hits.csv.gz
|
||||
|
||||
target/release/repl --load hits.csv --db-path db
|
||||
|
||||
# Loaded data in 920s.
|
||||
# Table `default` (99997496 rows, 15.0GiB)
|
||||
|
||||
# SELECT * FROM default LIMIT 1
|
||||
|
||||
# And it immediately panicked and hung:
|
||||
|
||||
#locustdb> SELECT * FROM default LIMIT 1
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
#thread '<unnamed>' panicked at 'index out of bounds: the len is 65536 but the index is 65536', src/stringpack.rs:91:15
|
||||
@ -1,9 +0,0 @@
|
||||
MariaDB ColumnStore failed after 5 minutes of data loading:
|
||||
|
||||
```
|
||||
ubuntu@ip-172-31-4-179:~$ time mysql --password="${PASSWORD}" --host 127.0.0.1 test -e "LOAD DATA LOCAL INFILE 'hits.tsv' INTO TABLE hits"
|
||||
ERROR 1030 (HY000) at line 1: Got error -1 "Internal error < 0 (Not system error)" from storage engine ColumnStore
|
||||
```
|
||||
|
||||
They don't have an issue tracker on GitHub, only JIRA.
|
||||
JIRA requires login, but does not support SSO.
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user