mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-21 15:12:02 +00:00
Merge branch 'master' into chesema-merge-wb
This commit is contained in:
Sema Checherinda
commit
67d1eb84aa
@ -122,7 +122,7 @@ Default value: `0`.
|
||||
|
||||
### s3queue_polling_min_timeout_ms {#polling_min_timeout_ms}
|
||||
|
||||
Minimal timeout before next polling (in milliseconds).
|
||||
Specifies the minimum time, in milliseconds, that ClickHouse waits before making the next polling attempt.
|
||||
|
||||
Possible values:
|
||||
|
||||
@ -132,7 +132,7 @@ Default value: `1000`.
|
||||
|
||||
### s3queue_polling_max_timeout_ms {#polling_max_timeout_ms}
|
||||
|
||||
Maximum timeout before next polling (in milliseconds).
|
||||
Defines the maximum time, in milliseconds, that ClickHouse waits before initiating the next polling attempt.
|
||||
|
||||
Possible values:
|
||||
|
||||
@ -142,7 +142,7 @@ Default value: `10000`.
|
||||
|
||||
### s3queue_polling_backoff_ms {#polling_backoff_ms}
|
||||
|
||||
Polling backoff (in milliseconds).
|
||||
Determines the additional wait time added to the previous polling interval when no new files are found. The next poll occurs after the sum of the previous interval and this backoff value, or the maximum interval, whichever is lower.
|
||||
|
||||
Possible values:
|
||||
|
||||
|
||||
@ -10,6 +10,11 @@ The engine inherits from [MergeTree](../../../engines/table-engines/mergetree-fa
|
||||
|
||||
You can use `AggregatingMergeTree` tables for incremental data aggregation, including for aggregated materialized views.
|
||||
|
||||
You can see an example of how to use the AggregatingMergeTree and Aggregate functions in the below video:
|
||||
<div class='vimeo-container'>
|
||||
<iframe width="1030" height="579" src="https://www.youtube.com/embed/pryhI4F_zqQ" title="Aggregation States in ClickHouse" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
|
||||
</div>
|
||||
|
||||
The engine processes all columns with the following types:
|
||||
|
||||
## [AggregateFunction](../../../sql-reference/data-types/aggregatefunction.md)
|
||||
|
||||
@ -16,7 +16,7 @@ You have four options for getting up and running with ClickHouse:
|
||||
- **[ClickHouse Cloud](https://clickhouse.com/cloud/):** The official ClickHouse as a service, - built by, maintained and supported by the creators of ClickHouse
|
||||
- **[Quick Install](#quick-install):** an easy-to-download binary for testing and developing with ClickHouse
|
||||
- **[Production Deployments](#available-installation-options):** ClickHouse can run on any Linux, FreeBSD, or macOS with x86-64, modern ARM (ARMv8.2-A up), or PowerPC64LE CPU architecture
|
||||
- **[Docker Image](https://hub.docker.com/r/clickhouse/clickhouse-server/):** use the official Docker image in Docker Hub
|
||||
- **[Docker Image](https://hub.docker.com/_/clickhouse):** use the official Docker image in Docker Hub
|
||||
|
||||
## ClickHouse Cloud
|
||||
|
||||
|
||||
@ -1643,6 +1643,7 @@ You can specify the log format that will be outputted in the console log. Curren
|
||||
|
||||
```json
|
||||
{
|
||||
"date_time_utc": "2024-11-06T09:06:09Z",
|
||||
"date_time": "1650918987.180175",
|
||||
"thread_name": "#1",
|
||||
"thread_id": "254545",
|
||||
|
||||
@ -211,7 +211,7 @@ Number of threads in the server of the replicas communication protocol (without
|
||||
|
||||
The difference in time the thread for calculation of the asynchronous metrics was scheduled to wake up and the time it was in fact, woken up. A proxy-indicator of overall system latency and responsiveness.
|
||||
|
||||
### LoadAverage_*N*
|
||||
### LoadAverage*N*
|
||||
|
||||
The whole system load, averaged with exponential smoothing over 1 minute. The load represents the number of threads across all the processes (the scheduling entities of the OS kernel), that are currently running by CPU or waiting for IO, or ready to run but not being scheduled at this point of time. This number includes all the processes, not only clickhouse-server. The number can be greater than the number of CPU cores, if the system is overloaded, and many processes are ready to run but waiting for CPU or IO.
|
||||
|
||||
|
||||
@ -75,7 +75,7 @@ FROM t_null_big
|
||||
└────────────────────┴─────────────────────┘
|
||||
```
|
||||
|
||||
Also you can use [Tuple](/docs/en/sql-reference/data-types/tuple.md) to work around NULL skipping behavior. The a `Tuple` that contains only a `NULL` value is not `NULL`, so the aggregate functions won't skip that row because of that `NULL` value.
|
||||
Also you can use [Tuple](/docs/en/sql-reference/data-types/tuple.md) to work around NULL skipping behavior. A `Tuple` that contains only a `NULL` value is not `NULL`, so the aggregate functions won't skip that row because of that `NULL` value.
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
@ -110,7 +110,7 @@ GROUP BY v
|
||||
└──────┴─────────┴──────────┘
|
||||
```
|
||||
|
||||
And here is an example of of first_value with `RESPECT NULLS` where we can see that NULL inputs are respected and it will return the first value read, whether it's NULL or not:
|
||||
And here is an example of first_value with `RESPECT NULLS` where we can see that NULL inputs are respected and it will return the first value read, whether it's NULL or not:
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
|
||||
@ -5,7 +5,15 @@ sidebar_position: 102
|
||||
|
||||
# any
|
||||
|
||||
Selects the first encountered value of a column, ignoring any `NULL` values.
|
||||
Selects the first encountered value of a column.
|
||||
|
||||
:::warning
|
||||
As a query can be executed in arbitrary order, the result of this function is non-deterministic.
|
||||
If you need an arbitrary but deterministic result, use functions [`min`](../reference/min.md) or [`max`](../reference/max.md).
|
||||
:::
|
||||
|
||||
By default, the function never returns NULL, i.e. ignores NULL values in the input column.
|
||||
However, if the function is used with the `RESPECT NULLS` modifier, it returns the first value reads no matter if NULL or not.
|
||||
|
||||
**Syntax**
|
||||
|
||||
@ -13,46 +21,51 @@ Selects the first encountered value of a column, ignoring any `NULL` values.
|
||||
any(column) [RESPECT NULLS]
|
||||
```
|
||||
|
||||
Aliases: `any_value`, [`first_value`](../reference/first_value.md).
|
||||
Aliases `any(column)` (without `RESPECT NULLS`)
|
||||
- `any_value`
|
||||
- [`first_value`](../reference/first_value.md).
|
||||
|
||||
Alias for `any(column) RESPECT NULLS`
|
||||
- `anyRespectNulls`, `any_respect_nulls`
|
||||
- `firstValueRespectNulls`, `first_value_respect_nulls`
|
||||
- `anyValueRespectNulls`, `any_value_respect_nulls`
|
||||
|
||||
**Parameters**
|
||||
- `column`: The column name.
|
||||
|
||||
**Returned value**
|
||||
|
||||
:::note
|
||||
Supports the `RESPECT NULLS` modifier after the function name. Using this modifier will ensure the function selects the first value passed, regardless of whether it is `NULL` or not.
|
||||
:::
|
||||
The first value encountered.
|
||||
|
||||
:::note
|
||||
The return type of the function is the same as the input, except for LowCardinality which is discarded. This means that given no rows as input it will return the default value of that type (0 for integers, or Null for a Nullable() column). You might use the `-OrNull` [combinator](../../../sql-reference/aggregate-functions/combinators.md) ) to modify this behaviour.
|
||||
:::
|
||||
|
||||
:::warning
|
||||
The query can be executed in any order and even in a different order each time, so the result of this function is indeterminate.
|
||||
To get a determinate result, you can use the [`min`](../reference/min.md) or [`max`](../reference/max.md) function instead of `any`.
|
||||
The return type of the function is the same as the input, except for LowCardinality which is discarded.
|
||||
This means that given no rows as input it will return the default value of that type (0 for integers, or Null for a Nullable() column).
|
||||
You might use the `-OrNull` [combinator](../../../sql-reference/aggregate-functions/combinators.md) ) to modify this behaviour.
|
||||
:::
|
||||
|
||||
**Implementation details**
|
||||
|
||||
In some cases, you can rely on the order of execution. This applies to cases when `SELECT` comes from a subquery that uses `ORDER BY`.
|
||||
In some cases, you can rely on the order of execution.
|
||||
This applies to cases when `SELECT` comes from a subquery that uses `ORDER BY`.
|
||||
|
||||
When a `SELECT` query has the `GROUP BY` clause or at least one aggregate function, ClickHouse (in contrast to MySQL) requires that all expressions in the `SELECT`, `HAVING`, and `ORDER BY` clauses be calculated from keys or from aggregate functions. In other words, each column selected from the table must be used either in keys or inside aggregate functions. To get behavior like in MySQL, you can put the other columns in the `any` aggregate function.
|
||||
When a `SELECT` query has the `GROUP BY` clause or at least one aggregate function, ClickHouse (in contrast to MySQL) requires that all expressions in the `SELECT`, `HAVING`, and `ORDER BY` clauses be calculated from keys or from aggregate functions.
|
||||
In other words, each column selected from the table must be used either in keys or inside aggregate functions.
|
||||
To get behavior like in MySQL, you can put the other columns in the `any` aggregate function.
|
||||
|
||||
**Example**
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
CREATE TABLE any_nulls (city Nullable(String)) ENGINE=Log;
|
||||
CREATE TABLE tab (city Nullable(String)) ENGINE=Memory;
|
||||
|
||||
INSERT INTO any_nulls (city) VALUES (NULL), ('Amsterdam'), ('New York'), ('Tokyo'), ('Valencia'), (NULL);
|
||||
INSERT INTO tab (city) VALUES (NULL), ('Amsterdam'), ('New York'), ('Tokyo'), ('Valencia'), (NULL);
|
||||
|
||||
SELECT any(city) FROM any_nulls;
|
||||
SELECT any(city), anyRespectNulls(city) FROM tab;
|
||||
```
|
||||
|
||||
```response
|
||||
┌─any(city)─┐
|
||||
│ Amsterdam │
|
||||
└───────────┘
|
||||
┌─any(city)─┬─anyRespectNulls(city)─┐
|
||||
│ Amsterdam │ ᴺᵁᴸᴸ │
|
||||
└───────────┴───────────────────────┘
|
||||
```
|
||||
|
||||
@ -5,7 +5,15 @@ sidebar_position: 105
|
||||
|
||||
# anyLast
|
||||
|
||||
Selects the last value encountered, ignoring any `NULL` values by default. The result is just as indeterminate as for the [any](../../../sql-reference/aggregate-functions/reference/any.md) function.
|
||||
Selects the last encountered value of a column.
|
||||
|
||||
:::warning
|
||||
As a query can be executed in arbitrary order, the result of this function is non-deterministic.
|
||||
If you need an arbitrary but deterministic result, use functions [`min`](../reference/min.md) or [`max`](../reference/max.md).
|
||||
:::
|
||||
|
||||
By default, the function never returns NULL, i.e. ignores NULL values in the input column.
|
||||
However, if the function is used with the `RESPECT NULLS` modifier, it returns the first value reads no matter if NULL or not.
|
||||
|
||||
**Syntax**
|
||||
|
||||
@ -13,13 +21,16 @@ Selects the last value encountered, ignoring any `NULL` values by default. The r
|
||||
anyLast(column) [RESPECT NULLS]
|
||||
```
|
||||
|
||||
Alias `anyLast(column)` (without `RESPECT NULLS`)
|
||||
- [`last_value`](../reference/last_value.md).
|
||||
|
||||
Aliases for `anyLast(column) RESPECT NULLS`
|
||||
- `anyLastRespectNulls`, `anyLast_respect_nulls`
|
||||
- `lastValueRespectNulls`, `last_value_respect_nulls`
|
||||
|
||||
**Parameters**
|
||||
- `column`: The column name.
|
||||
|
||||
:::note
|
||||
Supports the `RESPECT NULLS` modifier after the function name. Using this modifier will ensure the function selects the last value passed, regardless of whether it is `NULL` or not.
|
||||
:::
|
||||
|
||||
**Returned value**
|
||||
|
||||
- The last value encountered.
|
||||
@ -29,15 +40,15 @@ Supports the `RESPECT NULLS` modifier after the function name. Using this modifi
|
||||
Query:
|
||||
|
||||
```sql
|
||||
CREATE TABLE any_last_nulls (city Nullable(String)) ENGINE=Log;
|
||||
CREATE TABLE tab (city Nullable(String)) ENGINE=Memory;
|
||||
|
||||
INSERT INTO any_last_nulls (city) VALUES ('Amsterdam'),(NULL),('New York'),('Tokyo'),('Valencia'),(NULL);
|
||||
INSERT INTO tab (city) VALUES ('Amsterdam'),(NULL),('New York'),('Tokyo'),('Valencia'),(NULL);
|
||||
|
||||
SELECT anyLast(city) FROM any_last_nulls;
|
||||
SELECT anyLast(city), anyLastRespectNulls(city) FROM tab;
|
||||
```
|
||||
|
||||
```response
|
||||
┌─anyLast(city)─┐
|
||||
│ Valencia │
|
||||
└───────────────┘
|
||||
┌─anyLast(city)─┬─anyLastRespectNulls(city)─┐
|
||||
│ Valencia │ ᴺᵁᴸᴸ │
|
||||
└───────────────┴───────────────────────────┘
|
||||
```
|
||||
|
||||
@ -6791,7 +6791,7 @@ parseDateTime(str[, format[, timezone]])
|
||||
|
||||
**Returned value(s)**
|
||||
|
||||
Returns DateTime values parsed from input string according to a MySQL style format string.
|
||||
Return a [DateTime](../data-types/datetime.md) value parsed from the input string according to a MySQL-style format string.
|
||||
|
||||
**Supported format specifiers**
|
||||
|
||||
@ -6840,7 +6840,7 @@ parseDateTimeInJodaSyntax(str[, format[, timezone]])
|
||||
|
||||
**Returned value(s)**
|
||||
|
||||
Returns DateTime values parsed from input string according to a Joda style format.
|
||||
Return a [DateTime](../data-types/datetime.md) value parsed from the input string according to a Joda-style format string.
|
||||
|
||||
**Supported format specifiers**
|
||||
|
||||
@ -6885,7 +6885,8 @@ parseDateTime64(str[, format[, timezone]])
|
||||
|
||||
**Returned value(s)**
|
||||
|
||||
Returns [DateTime64](../data-types/datetime64.md) type values parsed from input string according to a MySQL style format string.
|
||||
Return a [DateTime64](../data-types/datetime64.md) value parsed from the input string according to a MySQL-style format string.
|
||||
The precision of the returned value is 6.
|
||||
|
||||
## parseDateTime64OrZero
|
||||
|
||||
@ -6913,7 +6914,8 @@ parseDateTime64InJodaSyntax(str[, format[, timezone]])
|
||||
|
||||
**Returned value(s)**
|
||||
|
||||
Returns [DateTime64](../data-types/datetime64.md) type values parsed from input string according to a joda style format string.
|
||||
Return a [DateTime64](../data-types/datetime64.md) value parsed from the input string according to a Joda-style format string.
|
||||
The precision of the returned value equal to the number of `S` placeholders in the format string (but at most 6).
|
||||
|
||||
## parseDateTime64InJodaSyntaxOrZero
|
||||
|
||||
|
||||
@ -5,9 +5,14 @@ sidebar_label: EXCEPT
|
||||
|
||||
# EXCEPT Clause
|
||||
|
||||
The `EXCEPT` clause returns only those rows that result from the first query without the second. The queries must match the number of columns, order, and type. The result of `EXCEPT` can contain duplicate rows.
|
||||
The `EXCEPT` clause returns only those rows that result from the first query without the second.
|
||||
|
||||
Multiple `EXCEPT` statements are executed left to right if parenthesis are not specified. The `EXCEPT` operator has the same priority as the `UNION` clause and lower priority than the `INTERSECT` clause.
|
||||
- Both queries must have the same number of columns in the same order and data type.
|
||||
- The result of `EXCEPT` can contain duplicate rows. Use `EXCEPT DISTINCT` if this is not desirable.
|
||||
- Multiple `EXCEPT` statements are executed from left to right if parentheses are not specified.
|
||||
- The `EXCEPT` operator has the same priority as the `UNION` clause and lower priority than the `INTERSECT` clause.
|
||||
|
||||
## Syntax
|
||||
|
||||
``` sql
|
||||
SELECT column1 [, column2 ]
|
||||
@ -19,18 +24,33 @@ EXCEPT
|
||||
SELECT column1 [, column2 ]
|
||||
FROM table2
|
||||
[WHERE condition]
|
||||
|
||||
```
|
||||
The condition could be any expression based on your requirements.
|
||||
|
||||
Additionally, `EXCEPT()` can be used to exclude columns from a result in the same table, as is possible with BigQuery (Google Cloud), using the following syntax:
|
||||
|
||||
```sql
|
||||
SELECT column1 [, column2 ] EXCEPT (column3 [, column4])
|
||||
FROM table1
|
||||
[WHERE condition]
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
The examples in this section demonstrate usage of the `EXCEPT` clause.
|
||||
|
||||
### Filtering Numbers Using the `EXCEPT` Clause
|
||||
|
||||
Here is a simple example that returns the numbers 1 to 10 that are _not_ a part of the numbers 3 to 8:
|
||||
|
||||
Query:
|
||||
|
||||
``` sql
|
||||
SELECT number FROM numbers(1,10) EXCEPT SELECT number FROM numbers(3,6);
|
||||
SELECT number
|
||||
FROM numbers(1, 10)
|
||||
EXCEPT
|
||||
SELECT number
|
||||
FROM numbers(3, 6)
|
||||
```
|
||||
|
||||
Result:
|
||||
@ -44,7 +64,53 @@ Result:
|
||||
└────────┘
|
||||
```
|
||||
|
||||
`EXCEPT` and `INTERSECT` can often be used interchangeably with different Boolean logic, and they are both useful if you have two tables that share a common column (or columns). For example, suppose we have a few million rows of historical cryptocurrency data that contains trade prices and volume:
|
||||
### Excluding Specific Columns Using `EXCEPT()`
|
||||
|
||||
`EXCEPT()` can be used to quickly exclude columns from a result. For instance if we want to select all columns from a table, except a few select columns as shown in the example below:
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
SHOW COLUMNS IN system.settings
|
||||
|
||||
SELECT * EXCEPT (default, alias_for, readonly, description)
|
||||
FROM system.settings
|
||||
LIMIT 5
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```response
|
||||
┌─field───────┬─type─────────────────────────────────────────────────────────────────────┬─null─┬─key─┬─default─┬─extra─┐
|
||||
1. │ alias_for │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
2. │ changed │ UInt8 │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
3. │ default │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
4. │ description │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
5. │ is_obsolete │ UInt8 │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
6. │ max │ Nullable(String) │ YES │ │ ᴺᵁᴸᴸ │ │
|
||||
7. │ min │ Nullable(String) │ YES │ │ ᴺᵁᴸᴸ │ │
|
||||
8. │ name │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
9. │ readonly │ UInt8 │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
10. │ tier │ Enum8('Production' = 0, 'Obsolete' = 4, 'Experimental' = 8, 'Beta' = 12) │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
11. │ type │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
12. │ value │ String │ NO │ │ ᴺᵁᴸᴸ │ │
|
||||
└─────────────┴──────────────────────────────────────────────────────────────────────────┴──────┴─────┴─────────┴───────┘
|
||||
|
||||
┌─name────────────────────┬─value──────┬─changed─┬─min──┬─max──┬─type────┬─is_obsolete─┬─tier───────┐
|
||||
1. │ dialect │ clickhouse │ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ Dialect │ 0 │ Production │
|
||||
2. │ min_compress_block_size │ 65536 │ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ UInt64 │ 0 │ Production │
|
||||
3. │ max_compress_block_size │ 1048576 │ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ UInt64 │ 0 │ Production │
|
||||
4. │ max_block_size │ 65409 │ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ UInt64 │ 0 │ Production │
|
||||
5. │ max_insert_block_size │ 1048449 │ 0 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ UInt64 │ 0 │ Production │
|
||||
└─────────────────────────┴────────────┴─────────┴──────┴──────┴─────────┴─────────────┴────────────┘
|
||||
```
|
||||
|
||||
### Using `EXCEPT` and `INTERSECT` with Cryptocurrency Data
|
||||
|
||||
`EXCEPT` and `INTERSECT` can often be used interchangeably with different Boolean logic, and they are both useful if you have two tables that share a common column (or columns).
|
||||
For example, suppose we have a few million rows of historical cryptocurrency data that contains trade prices and volume:
|
||||
|
||||
Query:
|
||||
|
||||
```sql
|
||||
CREATE TABLE crypto_prices
|
||||
@ -72,6 +138,8 @@ ORDER BY trade_date DESC
|
||||
LIMIT 10;
|
||||
```
|
||||
|
||||
Result:
|
||||
|
||||
```response
|
||||
┌─trade_date─┬─crypto_name─┬──────volume─┬────price─┬───market_cap─┬──change_1_day─┐
|
||||
│ 2020-11-02 │ Bitcoin │ 30771456000 │ 13550.49 │ 251119860000 │ -0.013585099 │
|
||||
@ -127,7 +195,7 @@ Result:
|
||||
|
||||
This means of the four cryptocurrencies we own, only Bitcoin has never dropped below $10 (based on the limited data we have here in this example).
|
||||
|
||||
## EXCEPT DISTINCT
|
||||
### Using `EXCEPT DISTINCT`
|
||||
|
||||
Notice in the previous query we had multiple Bitcoin holdings in the result. You can add `DISTINCT` to `EXCEPT` to eliminate duplicate rows from the result:
|
||||
|
||||
@ -146,7 +214,6 @@ Result:
|
||||
└─────────────┘
|
||||
```
|
||||
|
||||
|
||||
**See Also**
|
||||
|
||||
- [UNION](union.md#union-clause)
|
||||
|
||||
@ -15,7 +15,7 @@ first_value (column_name) [[RESPECT NULLS] | [IGNORE NULLS]]
|
||||
OVER ([[PARTITION BY grouping_column] [ORDER BY sorting_column]
|
||||
[ROWS or RANGE expression_to_bound_rows_withing_the_group]] | [window_name])
|
||||
FROM table_name
|
||||
WINDOW window_name as ([[PARTITION BY grouping_column] [ORDER BY sorting_column])
|
||||
WINDOW window_name as ([PARTITION BY grouping_column] [ORDER BY sorting_column])
|
||||
```
|
||||
|
||||
Alias: `any`.
|
||||
@ -23,6 +23,8 @@ Alias: `any`.
|
||||
:::note
|
||||
Using the optional modifier `RESPECT NULLS` after `first_value(column_name)` will ensure that `NULL` arguments are not skipped.
|
||||
See [NULL processing](../aggregate-functions/index.md/#null-processing) for more information.
|
||||
|
||||
Alias: `firstValueRespectNulls`
|
||||
:::
|
||||
|
||||
For more detail on window function syntax see: [Window Functions - Syntax](./index.md/#syntax).
|
||||
@ -48,7 +50,7 @@ CREATE TABLE salaries
|
||||
)
|
||||
Engine = Memory;
|
||||
|
||||
INSERT INTO salaries FORMAT Values
|
||||
INSERT INTO salaries FORMAT VALUES
|
||||
('Port Elizabeth Barbarians', 'Gary Chen', 196000, 'F'),
|
||||
('New Coreystad Archdukes', 'Charles Juarez', 190000, 'F'),
|
||||
('Port Elizabeth Barbarians', 'Michael Stanley', 100000, 'D'),
|
||||
|
||||
@ -23,6 +23,8 @@ Alias: `anyLast`.
|
||||
:::note
|
||||
Using the optional modifier `RESPECT NULLS` after `first_value(column_name)` will ensure that `NULL` arguments are not skipped.
|
||||
See [NULL processing](../aggregate-functions/index.md/#null-processing) for more information.
|
||||
|
||||
Alias: `lastValueRespectNulls`
|
||||
:::
|
||||
|
||||
For more detail on window function syntax see: [Window Functions - Syntax](./index.md/#syntax).
|
||||
@ -33,7 +35,7 @@ For more detail on window function syntax see: [Window Functions - Syntax](./ind
|
||||
|
||||
**Example**
|
||||
|
||||
In this example the `last_value` function is used to find the highest paid footballer from a fictional dataset of salaries of Premier League football players.
|
||||
In this example the `last_value` function is used to find the lowest paid footballer from a fictional dataset of salaries of Premier League football players.
|
||||
|
||||
Query:
|
||||
|
||||
@ -48,7 +50,7 @@ CREATE TABLE salaries
|
||||
)
|
||||
Engine = Memory;
|
||||
|
||||
INSERT INTO salaries FORMAT Values
|
||||
INSERT INTO salaries FORMAT VALUES
|
||||
('Port Elizabeth Barbarians', 'Gary Chen', 196000, 'F'),
|
||||
('New Coreystad Archdukes', 'Charles Juarez', 190000, 'F'),
|
||||
('Port Elizabeth Barbarians', 'Michael Stanley', 100000, 'D'),
|
||||
|
||||
@ -154,7 +154,7 @@ sudo "clickhouse-client-$LATEST_VERSION/install/doinst.sh"
|
||||
|
||||
### Из Docker образа {#from-docker-image}
|
||||
|
||||
Для запуска ClickHouse в Docker нужно следовать инструкции на [Docker Hub](https://hub.docker.com/r/clickhouse/clickhouse-server/). Внутри образов используются официальные `deb`-пакеты.
|
||||
Для запуска ClickHouse в Docker нужно следовать инструкции на [Docker Hub](https://hub.docker.com/_/clickhouse). Внутри образов используются официальные `deb`-пакеты.
|
||||
|
||||
### Из единого бинарного файла {#from-single-binary}
|
||||
|
||||
|
||||
@ -132,7 +132,7 @@ sudo "clickhouse-client-$LATEST_VERSION/install/doinst.sh"
|
||||
|
||||
### `Docker`安装包 {#from-docker-image}
|
||||
|
||||
要在Docker中运行ClickHouse，请遵循[Docker Hub](https://hub.docker.com/r/clickhouse/clickhouse-server/)上的指南。它是官方的`deb`安装包。
|
||||
要在Docker中运行ClickHouse，请遵循[Docker Hub](https://hub.docker.com/_/clickhouse)上的指南。它是官方的`deb`安装包。
|
||||
|
||||
### 其他环境安装包 {#from-other}
|
||||
|
||||
|
||||
@ -70,12 +70,15 @@
|
||||
You can specify log format(for now, JSON only). In that case, the console log will be printed
|
||||
in specified format like JSON.
|
||||
For example, as below:
|
||||
|
||||
{"date_time":"1650918987.180175","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
{"date_time_utc":"2024-11-06T09:06:09Z","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
To enable JSON logging support, please uncomment the entire <formatting> tag below.
|
||||
|
||||
a) You can modify key names by changing values under tag values inside <names> tag.
|
||||
For example, to change DATE_TIME to MY_DATE_TIME, you can do like:
|
||||
<date_time>MY_DATE_TIME</date_time>
|
||||
<date_time_utc>MY_UTC_DATE_TIME</date_time_utc>
|
||||
b) You can stop unwanted log properties to appear in logs. To do so, you can simply comment out (recommended)
|
||||
that property from this file.
|
||||
For example, if you do not want your log to print query_id, you can comment out only <query_id> tag.
|
||||
@ -86,6 +89,7 @@
|
||||
<type>json</type>
|
||||
<names>
|
||||
<date_time>date_time</date_time>
|
||||
<date_time_utc>date_time_utc</date_time_utc>
|
||||
<thread_name>thread_name</thread_name>
|
||||
<thread_id>thread_id</thread_id>
|
||||
<level>level</level>
|
||||
|
||||
@ -221,11 +221,16 @@ void registerAggregateFunctionsAnyRespectNulls(AggregateFunctionFactory & factor
|
||||
= {.returns_default_when_only_null = false, .is_order_dependent = true, .is_window_function = true};
|
||||
|
||||
factory.registerFunction("any_respect_nulls", {createAggregateFunctionAnyRespectNulls, default_properties_for_respect_nulls});
|
||||
factory.registerAlias("any_value_respect_nulls", "any_respect_nulls", AggregateFunctionFactory::Case::Insensitive);
|
||||
factory.registerAlias("anyRespectNulls", "any_respect_nulls", AggregateFunctionFactory::Case::Sensitive);
|
||||
factory.registerAlias("first_value_respect_nulls", "any_respect_nulls", AggregateFunctionFactory::Case::Insensitive);
|
||||
factory.registerAlias("firstValueRespectNulls", "any_respect_nulls", AggregateFunctionFactory::Case::Sensitive);
|
||||
factory.registerAlias("any_value_respect_nulls", "any_respect_nulls", AggregateFunctionFactory::Case::Insensitive);
|
||||
factory.registerAlias("anyValueRespectNulls", "any_respect_nulls", AggregateFunctionFactory::Case::Sensitive);
|
||||
|
||||
factory.registerFunction("anyLast_respect_nulls", {createAggregateFunctionAnyLastRespectNulls, default_properties_for_respect_nulls});
|
||||
factory.registerAlias("anyLastRespectNulls", "anyLast_respect_nulls", AggregateFunctionFactory::Case::Sensitive);
|
||||
factory.registerAlias("last_value_respect_nulls", "anyLast_respect_nulls", AggregateFunctionFactory::Case::Insensitive);
|
||||
factory.registerAlias("lastValueRespectNulls", "anyLast_respect_nulls", AggregateFunctionFactory::Case::Sensitive);
|
||||
|
||||
/// Must happen after registering any and anyLast
|
||||
factory.registerNullsActionTransformation("any", "any_respect_nulls");
|
||||
|
||||
@ -685,13 +685,13 @@ void BackupCoordinationStageSync::cancelQueryIfError()
|
||||
|
||||
{
|
||||
std::lock_guard lock{mutex};
|
||||
if (!state.host_with_error)
|
||||
return;
|
||||
|
||||
if (state.host_with_error)
|
||||
exception = state.hosts.at(*state.host_with_error).exception;
|
||||
}
|
||||
|
||||
chassert(exception);
|
||||
if (!exception)
|
||||
return;
|
||||
|
||||
process_list_element->cancelQuery(false, exception);
|
||||
state_changed.notify_all();
|
||||
}
|
||||
@ -741,6 +741,11 @@ void BackupCoordinationStageSync::cancelQueryIfDisconnectedTooLong()
|
||||
if (!exception)
|
||||
return;
|
||||
|
||||
/// In this function we only pass the new `exception` (about that the connection was lost) to `process_list_element`.
|
||||
/// We don't try to create the 'error' node here (because this function is called from watchingThread() and
|
||||
/// we don't want the watching thread to try waiting here for retries or a reconnection).
|
||||
/// Also we don't set the `state.host_with_error` field here because `state.host_with_error` can only be set
|
||||
/// AFTER creating the 'error' node (see the comment for `State`).
|
||||
process_list_element->cancelQuery(false, exception);
|
||||
state_changed.notify_all();
|
||||
}
|
||||
@ -870,6 +875,9 @@ bool BackupCoordinationStageSync::checkIfHostsReachStage(const Strings & hosts,
|
||||
continue;
|
||||
}
|
||||
|
||||
if (state.host_with_error)
|
||||
std::rethrow_exception(state.hosts.at(*state.host_with_error).exception);
|
||||
|
||||
if (host_info.finished)
|
||||
throw Exception(ErrorCodes::FAILED_TO_SYNC_BACKUP_OR_RESTORE,
|
||||
"{} finished without coming to stage {}", getHostDesc(host), stage_to_wait);
|
||||
@ -1150,6 +1158,9 @@ bool BackupCoordinationStageSync::checkIfOtherHostsFinish(
|
||||
if ((host == current_host) || host_info.finished)
|
||||
continue;
|
||||
|
||||
if (throw_if_error && state.host_with_error)
|
||||
std::rethrow_exception(state.hosts.at(*state.host_with_error).exception);
|
||||
|
||||
String reason_text = reason.empty() ? "" : (" " + reason);
|
||||
|
||||
String host_status;
|
||||
|
||||
@ -197,6 +197,9 @@ private:
|
||||
};
|
||||
|
||||
/// Information about all the host participating in the current BACKUP or RESTORE operation.
|
||||
/// This information is read from ZooKeeper.
|
||||
/// To simplify the programming logic `state` can only be updated AFTER changing corresponding nodes in ZooKeeper
|
||||
/// (for example, first we create the 'error' node, and only after that we set or read from ZK the `state.host_with_error` field).
|
||||
struct State
|
||||
{
|
||||
std::map<String /* host */, HostInfo> hosts; /// std::map because we need to compare states
|
||||
|
||||
@ -52,6 +52,7 @@ private:
|
||||
explicit ColumnVector(const size_t n) : data(n) {}
|
||||
ColumnVector(const size_t n, const ValueType x) : data(n, x) {}
|
||||
ColumnVector(const ColumnVector & src) : data(src.data.begin(), src.data.end()) {}
|
||||
ColumnVector(Container::const_iterator begin, Container::const_iterator end) : data(begin, end) { }
|
||||
|
||||
/// Sugar constructor.
|
||||
ColumnVector(std::initializer_list<T> il) : data{il} {}
|
||||
|
||||
@ -7,7 +7,6 @@
|
||||
#include <condition_variable>
|
||||
#include <mutex>
|
||||
|
||||
#include "config.h"
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
@ -10,6 +10,7 @@
|
||||
#include <fcntl.h>
|
||||
#include <algorithm>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
|
||||
@ -150,6 +150,9 @@ Squash blocks passed to the external table to a specified size in bytes, if bloc
|
||||
)", 0) \
|
||||
DECLARE(UInt64, max_joined_block_size_rows, DEFAULT_BLOCK_SIZE, R"(
|
||||
Maximum block size for JOIN result (if join algorithm supports it). 0 means unlimited.
|
||||
)", 0) \
|
||||
DECLARE(UInt64, min_joined_block_size_bytes, 524288, R"(
|
||||
Minimum block size for JOIN result (if join algorithm supports it). 0 means unlimited.
|
||||
)", 0) \
|
||||
DECLARE(UInt64, max_insert_threads, 0, R"(
|
||||
The maximum number of threads to execute the `INSERT SELECT` query.
|
||||
|
||||
@ -80,6 +80,7 @@ static std::initializer_list<std::pair<ClickHouseVersion, SettingsChangesHistory
|
||||
{"backup_restore_finish_timeout_after_error_sec", 0, 180, "New setting."},
|
||||
{"query_plan_merge_filters", false, true, "Allow to merge filters in the query plan. This is required to properly support filter-push-down with a new analyzer."},
|
||||
{"parallel_replicas_local_plan", false, true, "Use local plan for local replica in a query with parallel replicas"},
|
||||
{"min_joined_block_size_bytes", 524288, 524288, "New setting."},
|
||||
{"allow_experimental_bfloat16_type", false, false, "Add new experimental BFloat16 type"},
|
||||
{"filesystem_cache_skip_download_if_exceeds_per_query_cache_write_limit", 1, 1, "Rename of setting skip_download_if_exceeds_query_cache_limit"},
|
||||
{"filesystem_cache_prefer_bigger_buffer_size", true, true, "New setting"},
|
||||
|
||||
@ -457,16 +457,16 @@ namespace
|
||||
return {};
|
||||
}
|
||||
|
||||
[[nodiscard]]
|
||||
VoidOrError setScale(UInt8 scale_, ParseSyntax parse_syntax_)
|
||||
void setScale(UInt32 scale_, ParseSyntax parse_syntax_)
|
||||
{
|
||||
/// Because the scale argument for parseDateTime*() is constant, always throw an exception (don't allow continuing to the
|
||||
/// next row like in other set* functions)
|
||||
if (parse_syntax_ == ParseSyntax::MySQL && scale_ != 6)
|
||||
RETURN_ERROR(ErrorCodes::CANNOT_PARSE_DATETIME, "Value {} for scale must be 6 for MySQL parse syntax", std::to_string(scale_))
|
||||
throw Exception(ErrorCodes::CANNOT_PARSE_DATETIME, "Precision {} is invalid (must be 6)", scale);
|
||||
else if (parse_syntax_ == ParseSyntax::Joda && scale_ > 6)
|
||||
RETURN_ERROR(ErrorCodes::CANNOT_PARSE_DATETIME, "Value {} for scale must be in the range [0, 6] for Joda syntax", std::to_string(scale_))
|
||||
throw Exception(ErrorCodes::CANNOT_PARSE_DATETIME, "Precision {} is invalid (must be [0, 6])", scale);
|
||||
|
||||
scale = scale_;
|
||||
return {};
|
||||
}
|
||||
|
||||
/// For debug
|
||||
@ -611,7 +611,6 @@ namespace
|
||||
|
||||
bool useDefaultImplementationForConstants() const override { return true; }
|
||||
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
|
||||
|
||||
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1, 2}; }
|
||||
bool isVariadic() const override { return true; }
|
||||
size_t getNumberOfArguments() const override { return 0; }
|
||||
@ -637,13 +636,13 @@ namespace
|
||||
data_type = std::make_shared<DataTypeDateTime64>(6, time_zone_name);
|
||||
else
|
||||
{
|
||||
/// The precision of the return type is the number of 'S' placeholders.
|
||||
String format = getFormat(arguments);
|
||||
std::vector<Instruction> instructions = parseFormat(format);
|
||||
/// How many 'S' characters does the format string contain?
|
||||
UInt32 s_count = 0;
|
||||
size_t s_count = 0;
|
||||
for (const auto & instruction : instructions)
|
||||
{
|
||||
const String fragment = instruction.getFragment();
|
||||
const String & fragment = instruction.getFragment();
|
||||
for (char c : fragment)
|
||||
{
|
||||
if (c == 'S')
|
||||
@ -654,7 +653,6 @@ namespace
|
||||
if (s_count > 0)
|
||||
break;
|
||||
}
|
||||
/// Use s_count as DateTime64's scale.
|
||||
data_type = std::make_shared<DataTypeDateTime64>(s_count, time_zone_name);
|
||||
}
|
||||
}
|
||||
@ -715,25 +713,18 @@ namespace
|
||||
const String format = getFormat(arguments);
|
||||
const std::vector<Instruction> instructions = parseFormat(format);
|
||||
const auto & time_zone = getTimeZone(arguments);
|
||||
/// Make datetime fit in a cache line.
|
||||
alignas(64) DateTime<error_handling> datetime;
|
||||
alignas(64) DateTime<error_handling> datetime; /// Make datetime fit in a cache line.
|
||||
for (size_t i = 0; i < input_rows_count; ++i)
|
||||
{
|
||||
datetime.reset();
|
||||
if constexpr (return_type == ReturnType::DateTime64)
|
||||
datetime.setScale(scale, parse_syntax);
|
||||
|
||||
StringRef str_ref = col_str->getDataAt(i);
|
||||
Pos cur = str_ref.data;
|
||||
Pos end = str_ref.data + str_ref.size;
|
||||
bool error = false;
|
||||
|
||||
if constexpr (return_type == ReturnType::DateTime64)
|
||||
{
|
||||
if (auto result = datetime.setScale(static_cast<UInt8>(scale), parse_syntax); !result.has_value())
|
||||
{
|
||||
const ErrorCodeAndMessage & err = result.error();
|
||||
throw Exception(err.error_code, "Invalid scale value: {}, {}", std::to_string(scale), err.error_message);
|
||||
}
|
||||
}
|
||||
|
||||
for (const auto & instruction : instructions)
|
||||
{
|
||||
if (auto result = instruction.perform(cur, end, datetime); result.has_value())
|
||||
|
||||
@ -5,9 +5,12 @@
|
||||
#include <Core/Names.h>
|
||||
#include <Core/NamesAndTypes.h>
|
||||
#include <DataTypes/DataTypeLowCardinality.h>
|
||||
#include <DataTypes/IDataType.h>
|
||||
#include <DataTypes/Serializations/ISerialization.h>
|
||||
#include <Interpreters/ConcurrentHashJoin.h>
|
||||
#include <Interpreters/Context.h>
|
||||
#include <Interpreters/ExpressionActions.h>
|
||||
#include <Interpreters/HashJoin/ScatteredBlock.h>
|
||||
#include <Interpreters/PreparedSets.h>
|
||||
#include <Interpreters/TableJoin.h>
|
||||
#include <Interpreters/createBlockSelector.h>
|
||||
@ -26,6 +29,12 @@
|
||||
#include <Common/setThreadName.h>
|
||||
#include <Common/typeid_cast.h>
|
||||
|
||||
#include <algorithm>
|
||||
#include <numeric>
|
||||
#include <vector>
|
||||
|
||||
using namespace DB;
|
||||
|
||||
namespace ProfileEvents
|
||||
{
|
||||
extern const Event HashJoinPreallocatedElementsInHashTables;
|
||||
@ -118,9 +127,7 @@ ConcurrentHashJoin::ConcurrentHashJoin(
|
||||
auto inner_hash_join = std::make_shared<InternalHashJoin>();
|
||||
inner_hash_join->data = std::make_unique<HashJoin>(
|
||||
table_join_, right_sample_block, any_take_last_row_, reserve_size, fmt::format("concurrent{}", idx));
|
||||
/// Non zero `max_joined_block_rows` allows to process block partially and return not processed part.
|
||||
/// TODO: It's not handled properly in ConcurrentHashJoin case, so we set it to 0 to disable this feature.
|
||||
inner_hash_join->data->setMaxJoinedBlockRows(0);
|
||||
inner_hash_join->data->setMaxJoinedBlockRows(table_join->maxJoinedBlockRows());
|
||||
hash_joins[idx] = std::move(inner_hash_join);
|
||||
});
|
||||
}
|
||||
@ -167,10 +174,13 @@ ConcurrentHashJoin::~ConcurrentHashJoin()
|
||||
}
|
||||
}
|
||||
|
||||
bool ConcurrentHashJoin::addBlockToJoin(const Block & right_block, bool check_limits)
|
||||
bool ConcurrentHashJoin::addBlockToJoin(const Block & right_block_, bool check_limits)
|
||||
{
|
||||
Blocks dispatched_blocks = dispatchBlock(table_join->getOnlyClause().key_names_right, right_block);
|
||||
/// We materialize columns here to avoid materializing them multiple times on different threads
|
||||
/// (inside different `hash_join`-s) because the block will be shared.
|
||||
Block right_block = hash_joins[0]->data->materializeColumnsFromRightBlock(right_block_);
|
||||
|
||||
auto dispatched_blocks = dispatchBlock(table_join->getOnlyClause().key_names_right, std::move(right_block));
|
||||
size_t blocks_left = 0;
|
||||
for (const auto & block : dispatched_blocks)
|
||||
{
|
||||
@ -213,19 +223,52 @@ bool ConcurrentHashJoin::addBlockToJoin(const Block & right_block, bool check_li
|
||||
|
||||
void ConcurrentHashJoin::joinBlock(Block & block, std::shared_ptr<ExtraBlock> & /*not_processed*/)
|
||||
{
|
||||
Blocks dispatched_blocks = dispatchBlock(table_join->getOnlyClause().key_names_left, block);
|
||||
Blocks res;
|
||||
ExtraScatteredBlocks extra_blocks;
|
||||
joinBlock(block, extra_blocks, res);
|
||||
chassert(!extra_blocks.rows());
|
||||
block = concatenateBlocks(res);
|
||||
}
|
||||
|
||||
void ConcurrentHashJoin::joinBlock(Block & block, ExtraScatteredBlocks & extra_blocks, std::vector<Block> & res)
|
||||
{
|
||||
ScatteredBlocks dispatched_blocks;
|
||||
auto & remaining_blocks = extra_blocks.remaining_blocks;
|
||||
if (extra_blocks.rows())
|
||||
{
|
||||
dispatched_blocks.swap(remaining_blocks);
|
||||
}
|
||||
else
|
||||
{
|
||||
hash_joins[0]->data->materializeColumnsFromLeftBlock(block);
|
||||
dispatched_blocks = dispatchBlock(table_join->getOnlyClause().key_names_left, std::move(block));
|
||||
}
|
||||
|
||||
block = {};
|
||||
|
||||
/// Just in case, should be no-op always
|
||||
remaining_blocks.resize(slots);
|
||||
|
||||
chassert(res.empty());
|
||||
res.clear();
|
||||
res.reserve(dispatched_blocks.size());
|
||||
|
||||
for (size_t i = 0; i < dispatched_blocks.size(); ++i)
|
||||
{
|
||||
std::shared_ptr<ExtraBlock> none_extra_block;
|
||||
auto & hash_join = hash_joins[i];
|
||||
auto & dispatched_block = dispatched_blocks[i];
|
||||
hash_join->data->joinBlock(dispatched_block, none_extra_block);
|
||||
if (dispatched_block && (i == 0 || dispatched_block.rows()))
|
||||
hash_join->data->joinBlock(dispatched_block, remaining_blocks[i]);
|
||||
if (none_extra_block && !none_extra_block->empty())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "not_processed should be empty");
|
||||
}
|
||||
|
||||
block = concatenateBlocks(dispatched_blocks);
|
||||
for (size_t i = 0; i < dispatched_blocks.size(); ++i)
|
||||
{
|
||||
auto & dispatched_block = dispatched_blocks[i];
|
||||
if (dispatched_block && (i == 0 || dispatched_block.rows()))
|
||||
res.emplace_back(std::move(dispatched_block).getSourceBlock());
|
||||
}
|
||||
}
|
||||
|
||||
void ConcurrentHashJoin::checkTypesOfKeys(const Block & block) const
|
||||
@ -304,10 +347,9 @@ static ALWAYS_INLINE IColumn::Selector hashToSelector(const WeakHash32 & hash, s
|
||||
return selector;
|
||||
}
|
||||
|
||||
IColumn::Selector ConcurrentHashJoin::selectDispatchBlock(const Strings & key_columns_names, const Block & from_block)
|
||||
IColumn::Selector selectDispatchBlock(size_t num_shards, const Strings & key_columns_names, const Block & from_block)
|
||||
{
|
||||
size_t num_rows = from_block.rows();
|
||||
size_t num_shards = hash_joins.size();
|
||||
|
||||
WeakHash32 hash(num_rows);
|
||||
for (const auto & key_name : key_columns_names)
|
||||
@ -319,30 +361,78 @@ IColumn::Selector ConcurrentHashJoin::selectDispatchBlock(const Strings & key_co
|
||||
return hashToSelector(hash, num_shards);
|
||||
}
|
||||
|
||||
Blocks ConcurrentHashJoin::dispatchBlock(const Strings & key_columns_names, const Block & from_block)
|
||||
ScatteredBlocks scatterBlocksByCopying(size_t num_shards, const IColumn::Selector & selector, const Block & from_block)
|
||||
{
|
||||
/// TODO: use JoinCommon::scatterBlockByHash
|
||||
size_t num_shards = hash_joins.size();
|
||||
size_t num_cols = from_block.columns();
|
||||
|
||||
IColumn::Selector selector = selectDispatchBlock(key_columns_names, from_block);
|
||||
|
||||
Blocks result(num_shards);
|
||||
Blocks blocks(num_shards);
|
||||
for (size_t i = 0; i < num_shards; ++i)
|
||||
result[i] = from_block.cloneEmpty();
|
||||
blocks[i] = from_block.cloneEmpty();
|
||||
|
||||
for (size_t i = 0; i < num_cols; ++i)
|
||||
for (size_t i = 0; i < from_block.columns(); ++i)
|
||||
{
|
||||
auto dispatched_columns = from_block.getByPosition(i).column->scatter(num_shards, selector);
|
||||
assert(result.size() == dispatched_columns.size());
|
||||
chassert(blocks.size() == dispatched_columns.size());
|
||||
for (size_t block_index = 0; block_index < num_shards; ++block_index)
|
||||
{
|
||||
result[block_index].getByPosition(i).column = std::move(dispatched_columns[block_index]);
|
||||
blocks[block_index].getByPosition(i).column = std::move(dispatched_columns[block_index]);
|
||||
}
|
||||
}
|
||||
|
||||
ScatteredBlocks result;
|
||||
result.reserve(num_shards);
|
||||
for (size_t i = 0; i < num_shards; ++i)
|
||||
result.emplace_back(std::move(blocks[i]));
|
||||
return result;
|
||||
}
|
||||
|
||||
ScatteredBlocks scatterBlocksWithSelector(size_t num_shards, const IColumn::Selector & selector, const Block & from_block)
|
||||
{
|
||||
std::vector<ScatteredBlock::IndexesPtr> selectors(num_shards);
|
||||
for (size_t i = 0; i < num_shards; ++i)
|
||||
{
|
||||
selectors[i] = ScatteredBlock::Indexes::create();
|
||||
selectors[i]->reserve(selector.size() / num_shards + 1);
|
||||
}
|
||||
for (size_t i = 0; i < selector.size(); ++i)
|
||||
{
|
||||
const size_t shard = selector[i];
|
||||
selectors[shard]->getData().push_back(i);
|
||||
}
|
||||
ScatteredBlocks result;
|
||||
result.reserve(num_shards);
|
||||
for (size_t i = 0; i < num_shards; ++i)
|
||||
result.emplace_back(from_block, std::move(selectors[i]));
|
||||
return result;
|
||||
}
|
||||
|
||||
ScatteredBlocks ConcurrentHashJoin::dispatchBlock(const Strings & key_columns_names, Block && from_block)
|
||||
{
|
||||
size_t num_shards = hash_joins.size();
|
||||
if (num_shards == 1)
|
||||
{
|
||||
ScatteredBlocks res;
|
||||
res.emplace_back(std::move(from_block));
|
||||
return res;
|
||||
}
|
||||
|
||||
IColumn::Selector selector = selectDispatchBlock(num_shards, key_columns_names, from_block);
|
||||
|
||||
/// With zero-copy approach we won't copy the source columns, but will create a new one with indices.
|
||||
/// This is not beneficial when the whole set of columns is e.g. a single small column.
|
||||
constexpr auto threshold = sizeof(IColumn::Selector::value_type);
|
||||
const auto & data_types = from_block.getDataTypes();
|
||||
const bool use_zero_copy_approach
|
||||
= std::accumulate(
|
||||
data_types.begin(),
|
||||
data_types.end(),
|
||||
0u,
|
||||
[](size_t sum, const DataTypePtr & type)
|
||||
{ return sum + (type->haveMaximumSizeOfValue() ? type->getMaximumSizeOfValueInMemory() : threshold + 1); })
|
||||
> threshold;
|
||||
|
||||
return use_zero_copy_approach ? scatterBlocksWithSelector(num_shards, selector, from_block)
|
||||
: scatterBlocksByCopying(num_shards, selector, from_block);
|
||||
}
|
||||
|
||||
UInt64 calculateCacheKey(
|
||||
std::shared_ptr<TableJoin> & table_join, const QueryTreeNodePtr & right_table_expression, const SelectQueryInfo & select_query_info)
|
||||
{
|
||||
|
||||
@ -47,7 +47,7 @@ public:
|
||||
|
||||
std::string getName() const override { return "ConcurrentHashJoin"; }
|
||||
const TableJoin & getTableJoin() const override { return *table_join; }
|
||||
bool addBlockToJoin(const Block & block, bool check_limits) override;
|
||||
bool addBlockToJoin(const Block & right_block_, bool check_limits) override;
|
||||
void checkTypesOfKeys(const Block & block) const override;
|
||||
void joinBlock(Block & block, std::shared_ptr<ExtraBlock> & not_processed) override;
|
||||
void setTotals(const Block & block) override;
|
||||
@ -57,6 +57,9 @@ public:
|
||||
bool alwaysReturnsEmptySet() const override;
|
||||
bool supportParallelJoin() const override { return true; }
|
||||
|
||||
bool isScatteredJoin() const override { return true; }
|
||||
void joinBlock(Block & block, ExtraScatteredBlocks & extra_blocks, std::vector<Block> & res) override;
|
||||
|
||||
IBlocksStreamPtr
|
||||
getNonJoinedBlocks(const Block & left_sample_block, const Block & result_sample_block, UInt64 max_block_size) const override;
|
||||
|
||||
@ -78,8 +81,7 @@ private:
|
||||
std::mutex totals_mutex;
|
||||
Block totals;
|
||||
|
||||
IColumn::Selector selectDispatchBlock(const Strings & key_columns_names, const Block & from_block);
|
||||
Blocks dispatchBlock(const Strings & key_columns_names, const Block & from_block);
|
||||
ScatteredBlocks dispatchBlock(const Strings & key_columns_names, Block && from_block);
|
||||
};
|
||||
|
||||
UInt64 calculateCacheKey(
|
||||
|
||||
@ -3,14 +3,16 @@
|
||||
|
||||
namespace DB
|
||||
{
|
||||
JoinOnKeyColumns::JoinOnKeyColumns(const Block & block, const Names & key_names_, const String & cond_column_name, const Sizes & key_sizes_)
|
||||
: key_names(key_names_)
|
||||
, materialized_keys_holder(JoinCommon::materializeColumns(
|
||||
block, key_names)) /// Rare case, when keys are constant or low cardinality. To avoid code bloat, simply materialize them.
|
||||
JoinOnKeyColumns::JoinOnKeyColumns(
|
||||
const ScatteredBlock & block_, const Names & key_names_, const String & cond_column_name, const Sizes & key_sizes_)
|
||||
: block(block_)
|
||||
, key_names(key_names_)
|
||||
/// Rare case, when keys are constant or low cardinality. To avoid code bloat, simply materialize them.
|
||||
, materialized_keys_holder(JoinCommon::materializeColumns(block.getSourceBlock(), key_names))
|
||||
, key_columns(JoinCommon::getRawPointers(materialized_keys_holder))
|
||||
, null_map(nullptr)
|
||||
, null_map_holder(extractNestedColumnsAndNullMap(key_columns, null_map))
|
||||
, join_mask_column(JoinCommon::getColumnAsMask(block, cond_column_name))
|
||||
, join_mask_column(JoinCommon::getColumnAsMask(block.getSourceBlock(), cond_column_name))
|
||||
, key_sizes(key_sizes_)
|
||||
{
|
||||
}
|
||||
|
||||
@ -1,4 +1,6 @@
|
||||
#pragma once
|
||||
|
||||
#include <Core/Defines.h>
|
||||
#include <Interpreters/HashJoin/HashJoin.h>
|
||||
#include <Interpreters/TableJoin.h>
|
||||
|
||||
@ -14,6 +16,8 @@ using ExpressionActionsPtr = std::shared_ptr<ExpressionActions>;
|
||||
|
||||
struct JoinOnKeyColumns
|
||||
{
|
||||
const ScatteredBlock & block;
|
||||
|
||||
Names key_names;
|
||||
|
||||
Columns materialized_keys_holder;
|
||||
@ -27,9 +31,13 @@ struct JoinOnKeyColumns
|
||||
|
||||
Sizes key_sizes;
|
||||
|
||||
explicit JoinOnKeyColumns(const Block & block, const Names & key_names_, const String & cond_column_name, const Sizes & key_sizes_);
|
||||
JoinOnKeyColumns(
|
||||
const ScatteredBlock & block, const Names & key_names_, const String & cond_column_name, const Sizes & key_sizes_);
|
||||
|
||||
bool isRowFiltered(size_t i) const { return join_mask_column.isRowFiltered(i); }
|
||||
bool isRowFiltered(size_t i) const
|
||||
{
|
||||
return join_mask_column.isRowFiltered(i);
|
||||
}
|
||||
};
|
||||
|
||||
template <bool lazy>
|
||||
@ -54,7 +62,7 @@ public:
|
||||
};
|
||||
|
||||
AddedColumns(
|
||||
const Block & left_block_,
|
||||
const ScatteredBlock & left_block_,
|
||||
const Block & block_with_columns_to_add,
|
||||
const Block & saved_block_sample,
|
||||
const HashJoin & join,
|
||||
@ -62,10 +70,11 @@ public:
|
||||
ExpressionActionsPtr additional_filter_expression_,
|
||||
bool is_asof_join,
|
||||
bool is_join_get_)
|
||||
: left_block(left_block_)
|
||||
: src_block(left_block_)
|
||||
, left_block(left_block_.getSourceBlock())
|
||||
, join_on_keys(join_on_keys_)
|
||||
, additional_filter_expression(additional_filter_expression_)
|
||||
, rows_to_add(left_block.rows())
|
||||
, rows_to_add(left_block_.rows())
|
||||
, join_data_avg_perkey_rows(join.getJoinedData()->avgPerKeyRows())
|
||||
, output_by_row_list_threshold(join.getTableJoin().outputByRowListPerkeyRowsThreshold())
|
||||
, join_data_sorted(join.getJoinedData()->sorted)
|
||||
@ -139,6 +148,7 @@ public:
|
||||
|
||||
static constexpr bool isLazy() { return lazy; }
|
||||
|
||||
const ScatteredBlock & src_block;
|
||||
Block left_block;
|
||||
std::vector<JoinOnKeyColumns> join_on_keys;
|
||||
ExpressionActionsPtr additional_filter_expression;
|
||||
@ -159,7 +169,7 @@ public:
|
||||
return;
|
||||
|
||||
/// Do not allow big allocations when user set max_joined_block_rows to huge value
|
||||
size_t reserve_size = std::min<size_t>(max_joined_block_rows, DEFAULT_BLOCK_SIZE * 2);
|
||||
size_t reserve_size = std::min<size_t>(max_joined_block_rows, rows_to_add * 2);
|
||||
|
||||
if (need_replicate)
|
||||
/// Reserve 10% more space for columns, because some rows can be repeated
|
||||
@ -218,7 +228,7 @@ private:
|
||||
void addColumn(const ColumnWithTypeAndName & src_column, const std::string & qualified_name)
|
||||
{
|
||||
columns.push_back(src_column.column->cloneEmpty());
|
||||
columns.back()->reserve(src_column.column->size());
|
||||
columns.back()->reserve(rows_to_add);
|
||||
type_name.emplace_back(src_column.type, src_column.name, qualified_name);
|
||||
}
|
||||
|
||||
|
||||
@ -13,24 +13,23 @@
|
||||
#include <Common/logger_useful.h>
|
||||
|
||||
|
||||
#include <DataTypes/DataTypeLowCardinality.h>
|
||||
#include <DataTypes/DataTypeNullable.h>
|
||||
#include <DataTypes/DataTypesNumber.h>
|
||||
#include <DataTypes/DataTypeLowCardinality.h>
|
||||
|
||||
#include <Interpreters/ExpressionActions.h>
|
||||
#include <Interpreters/HashJoin/HashJoin.h>
|
||||
#include <Interpreters/JoinUtils.h>
|
||||
#include <Interpreters/TableJoin.h>
|
||||
#include <Interpreters/joinDispatch.h>
|
||||
#include <Interpreters/NullableUtils.h>
|
||||
#include <Interpreters/RowRefs.h>
|
||||
#include <Interpreters/TableJoin.h>
|
||||
#include <Interpreters/joinDispatch.h>
|
||||
|
||||
#include <Interpreters/TemporaryDataOnDisk.h>
|
||||
#include <Common/Exception.h>
|
||||
#include <Common/typeid_cast.h>
|
||||
#include <Common/assert_cast.h>
|
||||
#include <Common/formatReadable.h>
|
||||
#include <Interpreters/TemporaryDataOnDisk.h>
|
||||
|
||||
#include <Common/typeid_cast.h>
|
||||
|
||||
#include <Interpreters/HashJoin/HashJoinMethods.h>
|
||||
#include <Interpreters/HashJoin/JoinUsedFlags.h>
|
||||
@ -40,16 +39,16 @@ namespace DB
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int NOT_IMPLEMENTED;
|
||||
extern const int NO_SUCH_COLUMN_IN_TABLE;
|
||||
extern const int INCOMPATIBLE_TYPE_OF_JOIN;
|
||||
extern const int UNSUPPORTED_JOIN_KEYS;
|
||||
extern const int LOGICAL_ERROR;
|
||||
extern const int SYNTAX_ERROR;
|
||||
extern const int SET_SIZE_LIMIT_EXCEEDED;
|
||||
extern const int TYPE_MISMATCH;
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
extern const int INVALID_JOIN_ON_EXPRESSION;
|
||||
extern const int NOT_IMPLEMENTED;
|
||||
extern const int NO_SUCH_COLUMN_IN_TABLE;
|
||||
extern const int INCOMPATIBLE_TYPE_OF_JOIN;
|
||||
extern const int UNSUPPORTED_JOIN_KEYS;
|
||||
extern const int LOGICAL_ERROR;
|
||||
extern const int SYNTAX_ERROR;
|
||||
extern const int SET_SIZE_LIMIT_EXCEEDED;
|
||||
extern const int TYPE_MISMATCH;
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
extern const int INVALID_JOIN_ON_EXPRESSION;
|
||||
}
|
||||
|
||||
namespace
|
||||
@ -72,6 +71,40 @@ Int64 getCurrentQueryMemoryUsage()
|
||||
return 0;
|
||||
}
|
||||
|
||||
Block filterColumnsPresentInSampleBlock(const Block & block, const Block & sample_block)
|
||||
{
|
||||
Block filtered_block;
|
||||
for (const auto & sample_column : sample_block.getColumnsWithTypeAndName())
|
||||
filtered_block.insert(block.getByName(sample_column.name));
|
||||
return filtered_block;
|
||||
}
|
||||
|
||||
ScatteredBlock filterColumnsPresentInSampleBlock(const ScatteredBlock & block, const Block & sample_block)
|
||||
{
|
||||
return ScatteredBlock{filterColumnsPresentInSampleBlock(block.getSourceBlock(), sample_block)};
|
||||
}
|
||||
|
||||
Block materializeColumnsFromRightBlock(Block block, const Block & sample_block, const Names &)
|
||||
{
|
||||
for (const auto & sample_column : sample_block.getColumnsWithTypeAndName())
|
||||
{
|
||||
auto & column = block.getByName(sample_column.name);
|
||||
|
||||
/// There's no optimization for right side const columns. Remove constness if any.
|
||||
column.column = recursiveRemoveSparse(column.column->convertToFullColumnIfConst());
|
||||
|
||||
if (column.column->lowCardinality() && !sample_column.column->lowCardinality())
|
||||
{
|
||||
column.column = column.column->convertToFullColumnIfLowCardinality();
|
||||
column.type = removeLowCardinality(column.type);
|
||||
}
|
||||
|
||||
if (sample_column.column->isNullable())
|
||||
JoinCommon::convertColumnToNullable(column);
|
||||
}
|
||||
|
||||
return block;
|
||||
}
|
||||
}
|
||||
|
||||
static void correctNullabilityInplace(ColumnWithTypeAndName & column, bool nullable)
|
||||
@ -91,8 +124,12 @@ static void correctNullabilityInplace(ColumnWithTypeAndName & column, bool nulla
|
||||
}
|
||||
}
|
||||
|
||||
HashJoin::HashJoin(std::shared_ptr<TableJoin> table_join_, const Block & right_sample_block_,
|
||||
bool any_take_last_row_, size_t reserve_num_, const String & instance_id_)
|
||||
HashJoin::HashJoin(
|
||||
std::shared_ptr<TableJoin> table_join_,
|
||||
const Block & right_sample_block_,
|
||||
bool any_take_last_row_,
|
||||
size_t reserve_num_,
|
||||
const String & instance_id_)
|
||||
: table_join(table_join_)
|
||||
, kind(table_join->kind())
|
||||
, strictness(table_join->strictness())
|
||||
@ -107,8 +144,15 @@ HashJoin::HashJoin(std::shared_ptr<TableJoin> table_join_, const Block & right_s
|
||||
, instance_log_id(!instance_id_.empty() ? "(" + instance_id_ + ") " : "")
|
||||
, log(getLogger("HashJoin"))
|
||||
{
|
||||
LOG_TRACE(log, "{}Keys: {}, datatype: {}, kind: {}, strictness: {}, right header: {}",
|
||||
instance_log_id, TableJoin::formatClauses(table_join->getClauses(), true), data->type, kind, strictness, right_sample_block.dumpStructure());
|
||||
LOG_TRACE(
|
||||
log,
|
||||
"{}Keys: {}, datatype: {}, kind: {}, strictness: {}, right header: {}",
|
||||
instance_log_id,
|
||||
TableJoin::formatClauses(table_join->getClauses(), true),
|
||||
data->type,
|
||||
kind,
|
||||
strictness,
|
||||
right_sample_block.dumpStructure());
|
||||
|
||||
validateAdditionalFilterExpression(table_join->getMixedJoinExpression());
|
||||
|
||||
@ -252,8 +296,8 @@ HashJoin::Type HashJoin::chooseMethod(JoinKind kind, const ColumnRawPtrs & key_c
|
||||
};
|
||||
|
||||
const auto * key_column = key_columns[0];
|
||||
if (is_string_column(key_column) ||
|
||||
(isColumnConst(*key_column) && is_string_column(assert_cast<const ColumnConst *>(key_column)->getDataColumnPtr().get())))
|
||||
if (is_string_column(key_column)
|
||||
|| (isColumnConst(*key_column) && is_string_column(assert_cast<const ColumnConst *>(key_column)->getDataColumnPtr().get())))
|
||||
return Type::key_string;
|
||||
}
|
||||
|
||||
@ -323,7 +367,8 @@ size_t HashJoin::getTotalRowCount() const
|
||||
auto prefer_use_maps_all = table_join->getMixedJoinExpression() != nullptr;
|
||||
for (const auto & map : data->maps)
|
||||
{
|
||||
joinDispatch(kind, strictness, map, prefer_use_maps_all, [&](auto, auto, auto & map_) { res += map_.getTotalRowCount(data->type); });
|
||||
joinDispatch(
|
||||
kind, strictness, map, prefer_use_maps_all, [&](auto, auto, auto & map_) { res += map_.getTotalRowCount(data->type); });
|
||||
}
|
||||
}
|
||||
|
||||
@ -338,16 +383,22 @@ void HashJoin::doDebugAsserts() const
|
||||
debug_blocks_allocated_size += block.allocatedBytes();
|
||||
|
||||
if (data->blocks_allocated_size != debug_blocks_allocated_size)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "data->blocks_allocated_size != debug_blocks_allocated_size ({} != {})",
|
||||
data->blocks_allocated_size, debug_blocks_allocated_size);
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"data->blocks_allocated_size != debug_blocks_allocated_size ({} != {})",
|
||||
data->blocks_allocated_size,
|
||||
debug_blocks_allocated_size);
|
||||
|
||||
size_t debug_blocks_nullmaps_allocated_size = 0;
|
||||
for (const auto & nullmap : data->blocks_nullmaps)
|
||||
debug_blocks_nullmaps_allocated_size += nullmap.second->allocatedBytes();
|
||||
debug_blocks_nullmaps_allocated_size += nullmap.allocatedBytes();
|
||||
|
||||
if (data->blocks_nullmaps_allocated_size != debug_blocks_nullmaps_allocated_size)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "data->blocks_nullmaps_allocated_size != debug_blocks_nullmaps_allocated_size ({} != {})",
|
||||
data->blocks_nullmaps_allocated_size, debug_blocks_nullmaps_allocated_size);
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"data->blocks_nullmaps_allocated_size != debug_blocks_nullmaps_allocated_size ({} != {})",
|
||||
data->blocks_nullmaps_allocated_size,
|
||||
debug_blocks_nullmaps_allocated_size);
|
||||
#endif
|
||||
}
|
||||
|
||||
@ -369,7 +420,12 @@ size_t HashJoin::getTotalByteCount() const
|
||||
auto prefer_use_maps_all = table_join->getMixedJoinExpression() != nullptr;
|
||||
for (const auto & map : data->maps)
|
||||
{
|
||||
joinDispatch(kind, strictness, map, prefer_use_maps_all, [&](auto, auto, auto & map_) { res += map_.getTotalByteCountImpl(data->type); });
|
||||
joinDispatch(
|
||||
kind,
|
||||
strictness,
|
||||
map,
|
||||
prefer_use_maps_all,
|
||||
[&](auto, auto, auto & map_) { res += map_.getTotalByteCountImpl(data->type); });
|
||||
}
|
||||
}
|
||||
return res;
|
||||
@ -386,11 +442,8 @@ void HashJoin::initRightBlockStructure(Block & saved_block_sample)
|
||||
|
||||
bool multiple_disjuncts = !table_join->oneDisjunct();
|
||||
/// We could remove key columns for LEFT | INNER HashJoin but we should keep them for JoinSwitcher (if any).
|
||||
bool save_key_columns = table_join->isEnabledAlgorithm(JoinAlgorithm::AUTO) ||
|
||||
table_join->isEnabledAlgorithm(JoinAlgorithm::GRACE_HASH) ||
|
||||
isRightOrFull(kind) ||
|
||||
multiple_disjuncts ||
|
||||
table_join->getMixedJoinExpression();
|
||||
bool save_key_columns = table_join->isEnabledAlgorithm(JoinAlgorithm::AUTO) || table_join->isEnabledAlgorithm(JoinAlgorithm::GRACE_HASH)
|
||||
|| isRightOrFull(kind) || multiple_disjuncts || table_join->getMixedJoinExpression();
|
||||
if (save_key_columns)
|
||||
{
|
||||
saved_block_sample = right_table_keys.cloneEmpty();
|
||||
@ -411,29 +464,27 @@ void HashJoin::initRightBlockStructure(Block & saved_block_sample)
|
||||
}
|
||||
}
|
||||
|
||||
void HashJoin::materializeColumnsFromLeftBlock(Block & block) const
|
||||
{
|
||||
/** If you use FULL or RIGHT JOIN, then the columns from the "left" table must be materialized.
|
||||
* Because if they are constants, then in the "not joined" rows, they may have different values
|
||||
* - default values, which can differ from the values of these constants.
|
||||
*/
|
||||
if (kind == JoinKind::Right || kind == JoinKind::Full)
|
||||
{
|
||||
materializeBlockInplace(block);
|
||||
}
|
||||
}
|
||||
|
||||
Block HashJoin::materializeColumnsFromRightBlock(Block block) const
|
||||
{
|
||||
return DB::materializeColumnsFromRightBlock(std::move(block), savedBlockSample(), table_join->getAllNames(JoinTableSide::Right));
|
||||
}
|
||||
|
||||
Block HashJoin::prepareRightBlock(const Block & block, const Block & saved_block_sample_)
|
||||
{
|
||||
Block structured_block;
|
||||
for (const auto & sample_column : saved_block_sample_.getColumnsWithTypeAndName())
|
||||
{
|
||||
ColumnWithTypeAndName column = block.getByName(sample_column.name);
|
||||
|
||||
/// There's no optimization for right side const columns. Remove constness if any.
|
||||
column.column = recursiveRemoveSparse(column.column->convertToFullColumnIfConst());
|
||||
|
||||
if (column.column->lowCardinality() && !sample_column.column->lowCardinality())
|
||||
{
|
||||
column.column = column.column->convertToFullColumnIfLowCardinality();
|
||||
column.type = removeLowCardinality(column.type);
|
||||
}
|
||||
|
||||
if (sample_column.column->isNullable())
|
||||
JoinCommon::convertColumnToNullable(column);
|
||||
|
||||
structured_block.insert(std::move(column));
|
||||
}
|
||||
|
||||
return structured_block;
|
||||
Block prepared_block = DB::materializeColumnsFromRightBlock(block, saved_block_sample_, {});
|
||||
return filterColumnsPresentInSampleBlock(prepared_block, saved_block_sample_);
|
||||
}
|
||||
|
||||
Block HashJoin::prepareRightBlock(const Block & block) const
|
||||
@ -441,15 +492,22 @@ Block HashJoin::prepareRightBlock(const Block & block) const
|
||||
return prepareRightBlock(block, savedBlockSample());
|
||||
}
|
||||
|
||||
bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
bool HashJoin::addBlockToJoin(const Block & source_block, bool check_limits)
|
||||
{
|
||||
auto materialized = materializeColumnsFromRightBlock(source_block);
|
||||
auto scattered_block = ScatteredBlock{materialized};
|
||||
return addBlockToJoin(scattered_block, check_limits);
|
||||
}
|
||||
|
||||
bool HashJoin::addBlockToJoin(ScatteredBlock & source_block, bool check_limits)
|
||||
{
|
||||
if (!data)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Join data was released");
|
||||
|
||||
/// RowRef::SizeT is uint32_t (not size_t) for hash table Cell memory efficiency.
|
||||
/// It's possible to split bigger blocks and insert them by parts here. But it would be a dead code.
|
||||
if (unlikely(source_block_.rows() > std::numeric_limits<RowRef::SizeT>::max()))
|
||||
throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Too many rows in right table block for HashJoin: {}", source_block_.rows());
|
||||
if (unlikely(source_block.rows() > std::numeric_limits<RowRef::SizeT>::max()))
|
||||
throw Exception(ErrorCodes::NOT_IMPLEMENTED, "Too many rows in right table block for HashJoin: {}", source_block.rows());
|
||||
|
||||
/** We do not allocate memory for stored blocks inside HashJoin, only for hash table.
|
||||
* In case when we have all the blocks allocated before the first `addBlockToJoin` call, will already be quite high.
|
||||
@ -458,7 +516,6 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
if (!memory_usage_before_adding_blocks)
|
||||
memory_usage_before_adding_blocks = getCurrentQueryMemoryUsage();
|
||||
|
||||
Block source_block = source_block_;
|
||||
if (strictness == JoinStrictness::Asof)
|
||||
{
|
||||
chassert(kind == JoinKind::Left || kind == JoinKind::Inner);
|
||||
@ -467,7 +524,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
/// We support only INNER/LEFT ASOF join, so rows with NULLs never return from the right joined table.
|
||||
/// So filter them out here not to handle in implementation.
|
||||
const auto & asof_key_name = table_join->getOnlyClause().key_names_right.back();
|
||||
auto & asof_column = source_block.getByName(asof_key_name);
|
||||
const auto & asof_column = source_block.getByName(asof_key_name);
|
||||
|
||||
if (asof_column.type->isNullable())
|
||||
{
|
||||
@ -485,13 +542,12 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
for (size_t i = 0; i < asof_column_nullable.size(); ++i)
|
||||
negative_null_map[i] = !asof_column_nullable[i];
|
||||
|
||||
for (auto & column : source_block)
|
||||
column.column = column.column->filter(negative_null_map, -1);
|
||||
source_block.filter(negative_null_map);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
size_t rows = source_block.rows();
|
||||
const size_t rows = source_block.rows();
|
||||
data->rows_to_join += rows;
|
||||
const auto & right_key_names = table_join->getAllNames(JoinTableSide::Right);
|
||||
ColumnPtrMap all_key_columns(right_key_names.size());
|
||||
@ -501,7 +557,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
all_key_columns[column_name] = recursiveRemoveSparse(column->convertToFullColumnIfConst())->convertToFullColumnIfLowCardinality();
|
||||
}
|
||||
|
||||
Block block_to_save = prepareRightBlock(source_block);
|
||||
ScatteredBlock block_to_save = filterColumnsPresentInSampleBlock(source_block, savedBlockSample());
|
||||
if (shrink_blocks)
|
||||
block_to_save = block_to_save.shrinkToFit();
|
||||
|
||||
@ -515,7 +571,8 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
if (!tmp_stream)
|
||||
tmp_stream.emplace(right_sample_block, tmp_data.get());
|
||||
|
||||
tmp_stream.value()->write(block_to_save);
|
||||
chassert(!source_block.wasScattered()); /// We don't run parallel_hash for cross join
|
||||
tmp_stream.value()->write(block_to_save.getSourceBlock());
|
||||
return true;
|
||||
}
|
||||
|
||||
@ -527,7 +584,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
if (storage_join_lock)
|
||||
throw DB::Exception(ErrorCodes::LOGICAL_ERROR, "addBlockToJoin called when HashJoin locked to prevent updates");
|
||||
|
||||
assertBlocksHaveEqualStructure(data->sample_block, block_to_save, "joined block");
|
||||
assertBlocksHaveEqualStructure(data->sample_block, block_to_save.getSourceBlock(), "joined block");
|
||||
|
||||
size_t min_bytes_to_compress = table_join->crossJoinMinBytesToCompress();
|
||||
size_t min_rows_to_compress = table_join->crossJoinMinRowsToCompress();
|
||||
@ -536,6 +593,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
&& ((min_bytes_to_compress && getTotalByteCount() >= min_bytes_to_compress)
|
||||
|| (min_rows_to_compress && getTotalRowCount() >= min_rows_to_compress)))
|
||||
{
|
||||
chassert(!source_block.wasScattered()); /// We don't run parallel_hash for cross join
|
||||
block_to_save = block_to_save.compress();
|
||||
have_compressed = true;
|
||||
}
|
||||
@ -543,7 +601,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
doDebugAsserts();
|
||||
data->blocks_allocated_size += block_to_save.allocatedBytes();
|
||||
data->blocks.emplace_back(std::move(block_to_save));
|
||||
Block * stored_block = &data->blocks.back();
|
||||
const auto * stored_block = &data->blocks.back();
|
||||
doDebugAsserts();
|
||||
|
||||
if (rows)
|
||||
@ -570,7 +628,7 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
save_nullmap |= (*null_map)[i];
|
||||
}
|
||||
|
||||
auto join_mask_col = JoinCommon::getColumnAsMask(source_block, onexprs[onexpr_idx].condColumnNames().second);
|
||||
auto join_mask_col = JoinCommon::getColumnAsMask(source_block.getSourceBlock(), onexprs[onexpr_idx].condColumnNames().second);
|
||||
/// Save blocks that do not hold conditions in ON section
|
||||
ColumnUInt8::MutablePtr not_joined_map = nullptr;
|
||||
if (!flag_per_row && isRightOrFull(kind) && join_mask_col.hasData())
|
||||
@ -595,23 +653,29 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
bool is_inserted = false;
|
||||
if (kind != JoinKind::Cross)
|
||||
{
|
||||
joinDispatch(kind, strictness, data->maps[onexpr_idx], prefer_use_maps_all, [&](auto kind_, auto strictness_, auto & map)
|
||||
joinDispatch(
|
||||
kind,
|
||||
strictness,
|
||||
data->maps[onexpr_idx],
|
||||
prefer_use_maps_all,
|
||||
[&](auto kind_, auto strictness_, auto & map)
|
||||
{
|
||||
size_t size = HashJoinMethods<kind_, strictness_, std::decay_t<decltype(map)>>::insertFromBlockImpl(
|
||||
*this,
|
||||
data->type,
|
||||
map,
|
||||
rows,
|
||||
key_columns,
|
||||
key_sizes[onexpr_idx],
|
||||
stored_block,
|
||||
&stored_block->getSourceBlock(),
|
||||
source_block.getSelector(),
|
||||
null_map,
|
||||
join_mask_col.getData(),
|
||||
data->pool,
|
||||
is_inserted);
|
||||
|
||||
if (flag_per_row)
|
||||
used_flags->reinit<kind_, strictness_, std::is_same_v<std::decay_t<decltype(map)>, MapsAll>>(stored_block);
|
||||
used_flags->reinit<kind_, strictness_, std::is_same_v<std::decay_t<decltype(map)>, MapsAll>>(
|
||||
&stored_block->getSourceBlock());
|
||||
else if (is_inserted)
|
||||
/// Number of buckets + 1 value from zero storage
|
||||
used_flags->reinit<kind_, strictness_, std::is_same_v<std::decay_t<decltype(map)>, MapsAll>>(size + 1);
|
||||
@ -620,14 +684,14 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
|
||||
if (!flag_per_row && save_nullmap && is_inserted)
|
||||
{
|
||||
data->blocks_nullmaps_allocated_size += null_map_holder->allocatedBytes();
|
||||
data->blocks_nullmaps.emplace_back(stored_block, null_map_holder);
|
||||
data->blocks_nullmaps_allocated_size += data->blocks_nullmaps.back().allocatedBytes();
|
||||
}
|
||||
|
||||
if (!flag_per_row && not_joined_map && is_inserted)
|
||||
{
|
||||
data->blocks_nullmaps_allocated_size += not_joined_map->allocatedBytes();
|
||||
data->blocks_nullmaps.emplace_back(stored_block, std::move(not_joined_map));
|
||||
data->blocks_nullmaps_allocated_size += data->blocks_nullmaps.back().allocatedBytes();
|
||||
}
|
||||
|
||||
if (!flag_per_row && !is_inserted)
|
||||
@ -654,7 +718,6 @@ bool HashJoin::addBlockToJoin(const Block & source_block_, bool check_limits)
|
||||
|
||||
void HashJoin::shrinkStoredBlocksToFit(size_t & total_bytes_in_join, bool force_optimize)
|
||||
{
|
||||
|
||||
Int64 current_memory_usage = getCurrentQueryMemoryUsage();
|
||||
Int64 query_memory_usage_delta = current_memory_usage - memory_usage_before_adding_blocks;
|
||||
Int64 max_total_bytes_for_query = memory_usage_before_adding_blocks ? table_join->getMaxMemoryUsage() : 0;
|
||||
@ -671,15 +734,19 @@ void HashJoin::shrinkStoredBlocksToFit(size_t & total_bytes_in_join, bool force_
|
||||
* is bigger than half of all memory available for query,
|
||||
* then shrink stored blocks to fit.
|
||||
*/
|
||||
shrink_blocks = (max_total_bytes_in_join && total_bytes_in_join > max_total_bytes_in_join / 2) ||
|
||||
(max_total_bytes_for_query && query_memory_usage_delta > max_total_bytes_for_query / 2);
|
||||
shrink_blocks = (max_total_bytes_in_join && total_bytes_in_join > max_total_bytes_in_join / 2)
|
||||
|| (max_total_bytes_for_query && query_memory_usage_delta > max_total_bytes_for_query / 2);
|
||||
if (!shrink_blocks)
|
||||
return;
|
||||
}
|
||||
|
||||
LOG_DEBUG(log, "Shrinking stored blocks, memory consumption is {} {} calculated by join, {} {} by memory tracker",
|
||||
ReadableSize(total_bytes_in_join), max_total_bytes_in_join ? fmt::format("/ {}", ReadableSize(max_total_bytes_in_join)) : "",
|
||||
ReadableSize(query_memory_usage_delta), max_total_bytes_for_query ? fmt::format("/ {}", ReadableSize(max_total_bytes_for_query)) : "");
|
||||
LOG_DEBUG(
|
||||
log,
|
||||
"Shrinking stored blocks, memory consumption is {} {} calculated by join, {} {} by memory tracker",
|
||||
ReadableSize(total_bytes_in_join),
|
||||
max_total_bytes_in_join ? fmt::format("/ {}", ReadableSize(max_total_bytes_in_join)) : "",
|
||||
ReadableSize(query_memory_usage_delta),
|
||||
max_total_bytes_for_query ? fmt::format("/ {}", ReadableSize(max_total_bytes_for_query)) : "");
|
||||
|
||||
for (auto & stored_block : data->blocks)
|
||||
{
|
||||
@ -692,10 +759,13 @@ void HashJoin::shrinkStoredBlocksToFit(size_t & total_bytes_in_join, bool force_
|
||||
if (old_size >= new_size)
|
||||
{
|
||||
if (data->blocks_allocated_size < old_size - new_size)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"Blocks allocated size value is broken: "
|
||||
"blocks_allocated_size = {}, old_size = {}, new_size = {}",
|
||||
data->blocks_allocated_size, old_size, new_size);
|
||||
data->blocks_allocated_size,
|
||||
old_size,
|
||||
new_size);
|
||||
|
||||
data->blocks_allocated_size -= old_size - new_size;
|
||||
}
|
||||
@ -710,9 +780,13 @@ void HashJoin::shrinkStoredBlocksToFit(size_t & total_bytes_in_join, bool force_
|
||||
|
||||
Int64 new_current_memory_usage = getCurrentQueryMemoryUsage();
|
||||
|
||||
LOG_DEBUG(log, "Shrunk stored blocks {} freed ({} by memory tracker), new memory consumption is {} ({} by memory tracker)",
|
||||
ReadableSize(total_bytes_in_join - new_total_bytes_in_join), ReadableSize(current_memory_usage - new_current_memory_usage),
|
||||
ReadableSize(new_total_bytes_in_join), ReadableSize(new_current_memory_usage));
|
||||
LOG_DEBUG(
|
||||
log,
|
||||
"Shrunk stored blocks {} freed ({} by memory tracker), new memory consumption is {} ({} by memory tracker)",
|
||||
ReadableSize(total_bytes_in_join - new_total_bytes_in_join),
|
||||
ReadableSize(current_memory_usage - new_current_memory_usage),
|
||||
ReadableSize(new_total_bytes_in_join),
|
||||
ReadableSize(new_current_memory_usage));
|
||||
|
||||
total_bytes_in_join = new_total_bytes_in_join;
|
||||
}
|
||||
@ -776,7 +850,7 @@ void HashJoin::joinBlockImplCross(Block & block, ExtraBlockPtr & not_processed)
|
||||
}
|
||||
};
|
||||
|
||||
for (const Block & block_right : data->blocks)
|
||||
for (const auto & block_right : data->blocks)
|
||||
{
|
||||
++block_number;
|
||||
if (block_number < start_right_block)
|
||||
@ -784,9 +858,12 @@ void HashJoin::joinBlockImplCross(Block & block, ExtraBlockPtr & not_processed)
|
||||
/// The following statement cannot be substituted with `process_right_block(!have_compressed ? block_right : block_right.decompress())`
|
||||
/// because it will lead to copying of `block_right` even if its branch is taken (because common type of `block_right` and `block_right.decompress()` is `Block`).
|
||||
if (!have_compressed)
|
||||
process_right_block(block_right);
|
||||
process_right_block(block_right.getSourceBlock());
|
||||
else
|
||||
process_right_block(block_right.decompress());
|
||||
{
|
||||
chassert(!block_right.wasScattered()); /// Compression only happens for cross join and scattering only for concurrent hash
|
||||
process_right_block(block_right.getSourceBlock().decompress());
|
||||
}
|
||||
|
||||
if (rows_added > max_joined_block_rows)
|
||||
{
|
||||
@ -837,9 +914,11 @@ DataTypePtr HashJoin::joinGetCheckAndGetReturnType(const DataTypes & data_types,
|
||||
{
|
||||
size_t num_keys = data_types.size();
|
||||
if (right_table_keys.columns() != num_keys)
|
||||
throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
|
||||
throw Exception(
|
||||
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
|
||||
"Number of arguments for function joinGet{} doesn't match: passed, should be equal to {}",
|
||||
toString(or_null ? "OrNull" : ""), toString(num_keys));
|
||||
toString(or_null ? "OrNull" : ""),
|
||||
toString(num_keys));
|
||||
|
||||
for (size_t i = 0; i < num_keys; ++i)
|
||||
{
|
||||
@ -848,8 +927,13 @@ DataTypePtr HashJoin::joinGetCheckAndGetReturnType(const DataTypes & data_types,
|
||||
auto left_type = removeNullable(recursiveRemoveLowCardinality(left_type_origin));
|
||||
auto right_type = removeNullable(recursiveRemoveLowCardinality(right_type_origin));
|
||||
if (!left_type->equals(*right_type))
|
||||
throw Exception(ErrorCodes::TYPE_MISMATCH, "Type mismatch in joinGet key {}: "
|
||||
"found type {}, while the needed type is {}", i, left_type->getName(), right_type->getName());
|
||||
throw Exception(
|
||||
ErrorCodes::TYPE_MISMATCH,
|
||||
"Type mismatch in joinGet key {}: "
|
||||
"found type {}, while the needed type is {}",
|
||||
i,
|
||||
left_type->getName(),
|
||||
right_type->getName());
|
||||
}
|
||||
|
||||
if (!sample_block_with_columns_to_add.has(column_name))
|
||||
@ -865,8 +949,7 @@ DataTypePtr HashJoin::joinGetCheckAndGetReturnType(const DataTypes & data_types,
|
||||
/// TODO: return array of values when strictness == JoinStrictness::All
|
||||
ColumnWithTypeAndName HashJoin::joinGet(const Block & block, const Block & block_with_columns_to_add) const
|
||||
{
|
||||
bool is_valid = (strictness == JoinStrictness::Any || strictness == JoinStrictness::RightAny)
|
||||
&& kind == JoinKind::Left;
|
||||
bool is_valid = (strictness == JoinStrictness::Any || strictness == JoinStrictness::RightAny) && kind == JoinKind::Left;
|
||||
if (!is_valid)
|
||||
throw Exception(ErrorCodes::INCOMPATIBLE_TYPE_OF_JOIN, "joinGet only supports StorageJoin of type Left Any");
|
||||
const auto & key_names_right = table_join->getOnlyClause().key_names_right;
|
||||
@ -880,12 +963,14 @@ ColumnWithTypeAndName HashJoin::joinGet(const Block & block, const Block & block
|
||||
keys.insert(std::move(key));
|
||||
}
|
||||
|
||||
static_assert(!MapGetter<JoinKind::Left, JoinStrictness::Any, false>::flagged,
|
||||
static_assert(
|
||||
!MapGetter<JoinKind::Left, JoinStrictness::Any, false>::flagged,
|
||||
"joinGet are not protected from hash table changes between block processing");
|
||||
|
||||
std::vector<const MapsOne *> maps_vector;
|
||||
maps_vector.push_back(&std::get<MapsOne>(data->maps[0]));
|
||||
HashJoinMethods<JoinKind::Left, JoinStrictness::Any, MapsOne>::joinBlockImpl(*this, keys, block_with_columns_to_add, maps_vector, /* is_join_get = */ true);
|
||||
HashJoinMethods<JoinKind::Left, JoinStrictness::Any, MapsOne>::joinBlockImpl(
|
||||
*this, keys, block_with_columns_to_add, maps_vector, /* is_join_get = */ true);
|
||||
return keys.getByPosition(keys.columns() - 1);
|
||||
}
|
||||
|
||||
@ -906,8 +991,7 @@ void HashJoin::joinBlock(Block & block, ExtraBlockPtr & not_processed)
|
||||
{
|
||||
auto cond_column_name = onexpr.condColumnNames();
|
||||
JoinCommon::checkTypesOfKeys(
|
||||
block, onexpr.key_names_left, cond_column_name.first,
|
||||
right_sample_block, onexpr.key_names_right, cond_column_name.second);
|
||||
block, onexpr.key_names_left, cond_column_name.first, right_sample_block, onexpr.key_names_right, cond_column_name.second);
|
||||
}
|
||||
|
||||
if (kind == JoinKind::Cross)
|
||||
@ -916,18 +1000,20 @@ void HashJoin::joinBlock(Block & block, ExtraBlockPtr & not_processed)
|
||||
return;
|
||||
}
|
||||
|
||||
if (kind == JoinKind::Right || kind == JoinKind::Full)
|
||||
{
|
||||
materializeBlockInplace(block);
|
||||
}
|
||||
materializeColumnsFromLeftBlock(block);
|
||||
|
||||
bool prefer_use_maps_all = table_join->getMixedJoinExpression() != nullptr;
|
||||
{
|
||||
std::vector<const std::decay_t<decltype(data->maps[0])> * > maps_vector;
|
||||
std::vector<const std::decay_t<decltype(data->maps[0])> *> maps_vector;
|
||||
for (size_t i = 0; i < table_join->getClauses().size(); ++i)
|
||||
maps_vector.push_back(&data->maps[i]);
|
||||
|
||||
if (joinDispatch(kind, strictness, maps_vector, prefer_use_maps_all, [&](auto kind_, auto strictness_, auto & maps_vector_)
|
||||
if (joinDispatch(
|
||||
kind,
|
||||
strictness,
|
||||
maps_vector,
|
||||
prefer_use_maps_all,
|
||||
[&](auto kind_, auto strictness_, auto & maps_vector_)
|
||||
{
|
||||
Block remaining_block;
|
||||
if constexpr (std::is_same_v<std::decay_t<decltype(maps_vector_)>, std::vector<const MapsAll *>>)
|
||||
@ -962,6 +1048,61 @@ void HashJoin::joinBlock(Block & block, ExtraBlockPtr & not_processed)
|
||||
}
|
||||
}
|
||||
|
||||
void HashJoin::joinBlock(ScatteredBlock & block, ScatteredBlock & remaining_block)
|
||||
{
|
||||
if (!data)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Cannot join after data has been released");
|
||||
|
||||
chassert(kind == JoinKind::Left || kind == JoinKind::Inner);
|
||||
|
||||
for (const auto & onexpr : table_join->getClauses())
|
||||
{
|
||||
auto cond_column_name = onexpr.condColumnNames();
|
||||
JoinCommon::checkTypesOfKeys(
|
||||
block.getSourceBlock(),
|
||||
onexpr.key_names_left,
|
||||
cond_column_name.first,
|
||||
right_sample_block,
|
||||
onexpr.key_names_right,
|
||||
cond_column_name.second);
|
||||
}
|
||||
|
||||
std::vector<const std::decay_t<decltype(data->maps[0])> *> maps_vector;
|
||||
for (size_t i = 0; i < table_join->getClauses().size(); ++i)
|
||||
maps_vector.push_back(&data->maps[i]);
|
||||
|
||||
bool prefer_use_maps_all = table_join->getMixedJoinExpression() != nullptr;
|
||||
const bool joined = joinDispatch(
|
||||
kind,
|
||||
strictness,
|
||||
maps_vector,
|
||||
prefer_use_maps_all,
|
||||
[&](auto kind_, auto strictness_, auto & maps_vector_)
|
||||
{
|
||||
if constexpr (std::is_same_v<std::decay_t<decltype(maps_vector_)>, std::vector<const MapsAll *>>)
|
||||
{
|
||||
remaining_block = HashJoinMethods<kind_, strictness_, MapsAll>::joinBlockImpl(
|
||||
*this, block, sample_block_with_columns_to_add, maps_vector_);
|
||||
}
|
||||
else if constexpr (std::is_same_v<std::decay_t<decltype(maps_vector_)>, std::vector<const MapsOne *>>)
|
||||
{
|
||||
remaining_block = HashJoinMethods<kind_, strictness_, MapsOne>::joinBlockImpl(
|
||||
*this, block, sample_block_with_columns_to_add, maps_vector_);
|
||||
}
|
||||
else if constexpr (std::is_same_v<std::decay_t<decltype(maps_vector_)>, std::vector<const MapsAsof *>>)
|
||||
{
|
||||
remaining_block = HashJoinMethods<kind_, strictness_, MapsAsof>::joinBlockImpl(
|
||||
*this, block, sample_block_with_columns_to_add, maps_vector_);
|
||||
}
|
||||
else
|
||||
{
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unknown maps type");
|
||||
}
|
||||
});
|
||||
|
||||
chassert(joined);
|
||||
}
|
||||
|
||||
HashJoin::~HashJoin()
|
||||
{
|
||||
if (!data)
|
||||
@ -1023,10 +1164,7 @@ class NotJoinedHash final : public NotJoinedBlocks::RightColumnsFiller
|
||||
{
|
||||
public:
|
||||
NotJoinedHash(const HashJoin & parent_, UInt64 max_block_size_, bool flag_per_row_)
|
||||
: parent(parent_)
|
||||
, max_block_size(max_block_size_)
|
||||
, flag_per_row(flag_per_row_)
|
||||
, current_block_start(0)
|
||||
: parent(parent_), max_block_size(max_block_size_), flag_per_row(flag_per_row_), current_block_start(0)
|
||||
{
|
||||
if (parent.data == nullptr)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Cannot join after data has been released");
|
||||
@ -1043,14 +1181,12 @@ public:
|
||||
}
|
||||
else
|
||||
{
|
||||
auto fill_callback = [&](auto, auto, auto & map)
|
||||
{
|
||||
rows_added = fillColumnsFromMap(map, columns_right);
|
||||
};
|
||||
auto fill_callback = [&](auto, auto, auto & map) { rows_added = fillColumnsFromMap(map, columns_right); };
|
||||
|
||||
bool prefer_use_maps_all = parent.table_join->getMixedJoinExpression() != nullptr;
|
||||
if (!joinDispatch(parent.kind, parent.strictness, parent.data->maps.front(), prefer_use_maps_all, fill_callback))
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unknown JOIN strictness '{}' (must be on of: ANY, ALL, ASOF)", parent.strictness);
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR, "Unknown JOIN strictness '{}' (must be on of: ANY, ALL, ASOF)", parent.strictness);
|
||||
}
|
||||
|
||||
if (!flag_per_row)
|
||||
@ -1070,14 +1206,14 @@ private:
|
||||
|
||||
std::any position;
|
||||
std::optional<HashJoin::BlockNullmapList::const_iterator> nulls_position;
|
||||
std::optional<BlocksList::const_iterator> used_position;
|
||||
std::optional<HashJoin::ScatteredBlocksList::const_iterator> used_position;
|
||||
|
||||
size_t fillColumnsFromData(const BlocksList & blocks, MutableColumns & columns_right)
|
||||
size_t fillColumnsFromData(const HashJoin::ScatteredBlocksList & blocks, MutableColumns & columns_right)
|
||||
{
|
||||
if (!position.has_value())
|
||||
position = std::make_any<BlocksList::const_iterator>(blocks.begin());
|
||||
position = std::make_any<HashJoin::ScatteredBlocksList::const_iterator>(blocks.begin());
|
||||
|
||||
auto & block_it = std::any_cast<BlocksList::const_iterator &>(position);
|
||||
auto & block_it = std::any_cast<HashJoin::ScatteredBlocksList::const_iterator &>(position);
|
||||
auto end = blocks.end();
|
||||
|
||||
size_t rows_added = 0;
|
||||
@ -1113,11 +1249,11 @@ private:
|
||||
{
|
||||
switch (parent.data->type)
|
||||
{
|
||||
#define M(TYPE) \
|
||||
#define M(TYPE) \
|
||||
case HashJoin::Type::TYPE: \
|
||||
return fillColumns(*maps.TYPE, columns_keys_and_right);
|
||||
APPLY_FOR_JOIN_VARIANTS(M)
|
||||
#undef M
|
||||
#undef M
|
||||
default:
|
||||
throw Exception(ErrorCodes::UNSUPPORTED_JOIN_KEYS, "Unsupported JOIN keys (type: {})", parent.data->type);
|
||||
}
|
||||
@ -1137,11 +1273,11 @@ private:
|
||||
|
||||
for (auto & it = *used_position; it != end && rows_added < max_block_size; ++it)
|
||||
{
|
||||
const Block & mapped_block = *it;
|
||||
const auto & mapped_block = *it;
|
||||
|
||||
for (size_t row = 0; row < mapped_block.rows(); ++row)
|
||||
{
|
||||
if (!parent.isUsed(&mapped_block, row))
|
||||
if (!parent.isUsed(&mapped_block.getSourceBlock(), row))
|
||||
{
|
||||
for (size_t colnum = 0; colnum < columns_keys_and_right.size(); ++colnum)
|
||||
{
|
||||
@ -1194,10 +1330,10 @@ private:
|
||||
|
||||
for (auto & it = *nulls_position; it != end && rows_added < max_block_size; ++it)
|
||||
{
|
||||
const auto * block = it->first;
|
||||
const auto * block = it->block;
|
||||
ConstNullMapPtr nullmap = nullptr;
|
||||
if (it->second)
|
||||
nullmap = &assert_cast<const ColumnUInt8 &>(*it->second).getData();
|
||||
if (it->column)
|
||||
nullmap = &assert_cast<const ColumnUInt8 &>(*it->column).getData();
|
||||
|
||||
for (size_t row = 0; row < block->rows(); ++row)
|
||||
{
|
||||
@ -1212,9 +1348,8 @@ private:
|
||||
}
|
||||
};
|
||||
|
||||
IBlocksStreamPtr HashJoin::getNonJoinedBlocks(const Block & left_sample_block,
|
||||
const Block & result_sample_block,
|
||||
UInt64 max_block_size) const
|
||||
IBlocksStreamPtr
|
||||
HashJoin::getNonJoinedBlocks(const Block & left_sample_block, const Block & result_sample_block, UInt64 max_block_size) const
|
||||
{
|
||||
if (!JoinCommon::hasNonJoinedBlocks(*table_join))
|
||||
return {};
|
||||
@ -1227,9 +1362,14 @@ IBlocksStreamPtr HashJoin::getNonJoinedBlocks(const Block & left_sample_block,
|
||||
size_t expected_columns_count = left_columns_count + required_right_keys.columns() + sample_block_with_columns_to_add.columns();
|
||||
if (expected_columns_count != result_sample_block.columns())
|
||||
{
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Unexpected number of columns in result sample block: {} instead of {} ({} + {} + {})",
|
||||
result_sample_block.columns(), expected_columns_count,
|
||||
left_columns_count, required_right_keys.columns(), sample_block_with_columns_to_add.columns());
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"Unexpected number of columns in result sample block: {} instead of {} ({} + {} + {})",
|
||||
result_sample_block.columns(),
|
||||
expected_columns_count,
|
||||
left_columns_count,
|
||||
required_right_keys.columns(),
|
||||
sample_block_with_columns_to_add.columns());
|
||||
}
|
||||
}
|
||||
|
||||
@ -1250,22 +1390,37 @@ void HashJoin::reuseJoinedData(const HashJoin & join)
|
||||
bool prefer_use_maps_all = join.table_join->getMixedJoinExpression() != nullptr;
|
||||
for (auto & map : data->maps)
|
||||
{
|
||||
joinDispatch(kind, strictness, map, prefer_use_maps_all, [this](auto kind_, auto strictness_, auto & map_)
|
||||
joinDispatch(
|
||||
kind,
|
||||
strictness,
|
||||
map,
|
||||
prefer_use_maps_all,
|
||||
[this](auto kind_, auto strictness_, auto & map_)
|
||||
{
|
||||
used_flags->reinit<kind_, strictness_, std::is_same_v<std::decay_t<decltype(map_)>, MapsAll>>(map_.getBufferSizeInCells(data->type) + 1);
|
||||
used_flags->reinit<kind_, strictness_, std::is_same_v<std::decay_t<decltype(map_)>, MapsAll>>(
|
||||
map_.getBufferSizeInCells(data->type) + 1);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
BlocksList HashJoin::releaseJoinedBlocks(bool restructure)
|
||||
BlocksList HashJoin::releaseJoinedBlocks(bool restructure [[maybe_unused]])
|
||||
{
|
||||
LOG_TRACE(log, "{}Join data is being released, {} bytes and {} rows in hash table", instance_log_id, getTotalByteCount(), getTotalRowCount());
|
||||
LOG_TRACE(
|
||||
log, "{}Join data is being released, {} bytes and {} rows in hash table", instance_log_id, getTotalByteCount(), getTotalRowCount());
|
||||
|
||||
BlocksList right_blocks = std::move(data->blocks);
|
||||
auto extract_source_blocks = [](ScatteredBlocksList && blocks)
|
||||
{
|
||||
BlocksList result;
|
||||
for (auto & block : blocks)
|
||||
result.emplace_back(std::move(block).getSourceBlock());
|
||||
return result;
|
||||
};
|
||||
|
||||
ScatteredBlocksList right_blocks = std::move(data->blocks);
|
||||
if (!restructure)
|
||||
{
|
||||
data.reset();
|
||||
return right_blocks;
|
||||
return extract_source_blocks(std::move(right_blocks));
|
||||
}
|
||||
|
||||
data->maps.clear();
|
||||
@ -1279,7 +1434,7 @@ BlocksList HashJoin::releaseJoinedBlocks(bool restructure)
|
||||
if (!right_blocks.empty())
|
||||
{
|
||||
positions.reserve(right_sample_block.columns());
|
||||
const Block & tmp_block = *right_blocks.begin();
|
||||
const Block & tmp_block = right_blocks.begin()->getSourceBlock();
|
||||
for (const auto & sample_column : right_sample_block)
|
||||
{
|
||||
positions.emplace_back(tmp_block.getPositionByName(sample_column.name));
|
||||
@ -1287,12 +1442,12 @@ BlocksList HashJoin::releaseJoinedBlocks(bool restructure)
|
||||
}
|
||||
}
|
||||
|
||||
for (Block & saved_block : right_blocks)
|
||||
for (ScatteredBlock & saved_block : right_blocks)
|
||||
{
|
||||
Block restored_block;
|
||||
for (size_t i = 0; i < positions.size(); ++i)
|
||||
{
|
||||
auto & column = saved_block.getByPosition(positions[i]);
|
||||
auto & column = saved_block.getSourceBlock().getByPosition(positions[i]);
|
||||
correctNullabilityInplace(column, is_nullable[i]);
|
||||
restored_block.insert(column);
|
||||
}
|
||||
@ -1318,7 +1473,8 @@ void HashJoin::validateAdditionalFilterExpression(ExpressionActionsPtr additiona
|
||||
|
||||
if (expression_sample_block.columns() != 1)
|
||||
{
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"Unexpected expression in JOIN ON section. Expected single column, got '{}'",
|
||||
expression_sample_block.dumpStructure());
|
||||
}
|
||||
@ -1326,7 +1482,8 @@ void HashJoin::validateAdditionalFilterExpression(ExpressionActionsPtr additiona
|
||||
auto type = removeNullable(expression_sample_block.getByPosition(0).type);
|
||||
if (!type->equals(*std::make_shared<DataTypeUInt8>()))
|
||||
{
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR,
|
||||
throw Exception(
|
||||
ErrorCodes::LOGICAL_ERROR,
|
||||
"Unexpected expression in JOIN ON section. Expected boolean (UInt8), got '{}'. expression:\n{}",
|
||||
expression_sample_block.getByPosition(0).type->getName(),
|
||||
additional_filter_expression->dumpActions());
|
||||
@ -1334,10 +1491,12 @@ void HashJoin::validateAdditionalFilterExpression(ExpressionActionsPtr additiona
|
||||
|
||||
bool is_supported = ((strictness == JoinStrictness::All) && (isInnerOrLeft(kind) || isRightOrFull(kind)))
|
||||
|| ((strictness == JoinStrictness::Semi || strictness == JoinStrictness::Any || strictness == JoinStrictness::Anti)
|
||||
&& (isLeft(kind) || isRight(kind))) || (strictness == JoinStrictness::Any && (isInner(kind)));
|
||||
&& (isLeft(kind) || isRight(kind)))
|
||||
|| (strictness == JoinStrictness::Any && (isInner(kind)));
|
||||
if (!is_supported)
|
||||
{
|
||||
throw Exception(ErrorCodes::INVALID_JOIN_ON_EXPRESSION,
|
||||
throw Exception(
|
||||
ErrorCodes::INVALID_JOIN_ON_EXPRESSION,
|
||||
"Non equi condition '{}' from JOIN ON section is supported only for ALL INNER/LEFT/FULL/RIGHT JOINs",
|
||||
expression_sample_block.getByPosition(0).name);
|
||||
}
|
||||
@ -1353,7 +1512,6 @@ bool HashJoin::isUsed(const Block * block_ptr, size_t row_idx) const
|
||||
return used_flags->getUsedSafe(block_ptr, row_idx);
|
||||
}
|
||||
|
||||
|
||||
bool HashJoin::needUsedFlagsForPerRightTableRow(std::shared_ptr<TableJoin> table_join_) const
|
||||
{
|
||||
if (!table_join_->oneDisjunct())
|
||||
@ -1372,7 +1530,7 @@ void HashJoin::tryRerangeRightTableDataImpl(Map & map [[maybe_unused]])
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Only left or inner join table can be reranged.");
|
||||
else
|
||||
{
|
||||
auto merge_rows_into_one_block = [&](BlocksList & blocks, RowRefList & rows_ref)
|
||||
auto merge_rows_into_one_block = [&](ScatteredBlocksList & blocks, RowRefList & rows_ref)
|
||||
{
|
||||
auto it = rows_ref.begin();
|
||||
if (it.ok())
|
||||
@ -1384,7 +1542,7 @@ void HashJoin::tryRerangeRightTableDataImpl(Map & map [[maybe_unused]])
|
||||
{
|
||||
return;
|
||||
}
|
||||
auto & block = blocks.back();
|
||||
auto & block = blocks.back().getSourceBlock();
|
||||
size_t start_row = block.rows();
|
||||
for (; it.ok(); ++it)
|
||||
{
|
||||
@ -1401,23 +1559,22 @@ void HashJoin::tryRerangeRightTableDataImpl(Map & map [[maybe_unused]])
|
||||
}
|
||||
};
|
||||
|
||||
auto visit_rows_map = [&](BlocksList & blocks, MapsAll & rows_map)
|
||||
auto visit_rows_map = [&](ScatteredBlocksList & blocks, MapsAll & rows_map)
|
||||
{
|
||||
switch (data->type)
|
||||
{
|
||||
#define M(TYPE) \
|
||||
case Type::TYPE: \
|
||||
{\
|
||||
#define M(TYPE) \
|
||||
case Type::TYPE: { \
|
||||
rows_map.TYPE->forEachMapped([&](RowRefList & rows_ref) { merge_rows_into_one_block(blocks, rows_ref); }); \
|
||||
break; \
|
||||
}
|
||||
APPLY_FOR_JOIN_VARIANTS(M)
|
||||
#undef M
|
||||
#undef M
|
||||
default:
|
||||
break;
|
||||
}
|
||||
};
|
||||
BlocksList sorted_blocks;
|
||||
ScatteredBlocksList sorted_blocks;
|
||||
visit_rows_map(sorted_blocks, map);
|
||||
doDebugAsserts();
|
||||
data->blocks.swap(sorted_blocks);
|
||||
|
||||
@ -1,9 +1,11 @@
|
||||
#pragma once
|
||||
|
||||
#include <memory>
|
||||
#include <variant>
|
||||
#include <optional>
|
||||
#include <algorithm>
|
||||
#include <deque>
|
||||
#include <memory>
|
||||
#include <optional>
|
||||
#include <ranges>
|
||||
#include <variant>
|
||||
#include <vector>
|
||||
|
||||
#include <Parsers/ASTTablesInSelectQuery.h>
|
||||
@ -12,22 +14,19 @@
|
||||
#include <Interpreters/AggregationCommon.h>
|
||||
#include <Interpreters/RowRefs.h>
|
||||
|
||||
#include <Common/Arena.h>
|
||||
#include <Common/ColumnsHashing.h>
|
||||
#include <Common/HashTable/HashMap.h>
|
||||
#include <Common/HashTable/FixedHashMap.h>
|
||||
#include <Storages/TableLockHolder.h>
|
||||
|
||||
#include <Columns/ColumnString.h>
|
||||
#include <Columns/ColumnFixedString.h>
|
||||
|
||||
#include <QueryPipeline/SizeLimits.h>
|
||||
|
||||
#include <Columns/ColumnString.h>
|
||||
#include <Core/Block.h>
|
||||
|
||||
#include <Storages/IStorage_fwd.h>
|
||||
#include <Interpreters/HashJoin/ScatteredBlock.h>
|
||||
#include <Interpreters/IKeyValueEntity.h>
|
||||
#include <Interpreters/TemporaryDataOnDisk.h>
|
||||
#include <QueryPipeline/SizeLimits.h>
|
||||
#include <Storages/IStorage_fwd.h>
|
||||
#include <Storages/TableLockHolder.h>
|
||||
#include <Common/Arena.h>
|
||||
#include <Common/ColumnsHashing.h>
|
||||
#include <Common/HashTable/FixedHashMap.h>
|
||||
#include <Common/HashTable/HashMap.h>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -142,13 +141,21 @@ public:
|
||||
*/
|
||||
bool addBlockToJoin(const Block & source_block_, bool check_limits) override;
|
||||
|
||||
/// Called directly from ConcurrentJoin::addBlockToJoin
|
||||
bool addBlockToJoin(ScatteredBlock & source_block_, bool check_limits);
|
||||
|
||||
void checkTypesOfKeys(const Block & block) const override;
|
||||
|
||||
using IJoin::joinBlock;
|
||||
|
||||
/** Join data from the map (that was previously built by calls to addBlockToJoin) to the block with data from "left" table.
|
||||
* Could be called from different threads in parallel.
|
||||
*/
|
||||
void joinBlock(Block & block, ExtraBlockPtr & not_processed) override;
|
||||
|
||||
/// Called directly from ConcurrentJoin::joinBlock
|
||||
void joinBlock(ScatteredBlock & block, ScatteredBlock & remaining_block);
|
||||
|
||||
/// Check joinGet arguments and infer the return type.
|
||||
DataTypePtr joinGetCheckAndGetReturnType(const DataTypes & data_types, const String & column_name, bool or_null) const;
|
||||
|
||||
@ -327,8 +334,17 @@ public:
|
||||
|
||||
using MapsVariant = std::variant<MapsOne, MapsAll, MapsAsof>;
|
||||
|
||||
using RawBlockPtr = const Block *;
|
||||
using BlockNullmapList = std::deque<std::pair<RawBlockPtr, ColumnPtr>>;
|
||||
using RawBlockPtr = const ScatteredBlock *;
|
||||
struct NullMapHolder
|
||||
{
|
||||
size_t allocatedBytes() const { return !column->empty() ? column->allocatedBytes() * block->rows() / column->size() : 0; }
|
||||
|
||||
RawBlockPtr block;
|
||||
ColumnPtr column;
|
||||
};
|
||||
using BlockNullmapList = std::deque<NullMapHolder>;
|
||||
|
||||
using ScatteredBlocksList = std::list<ScatteredBlock>;
|
||||
|
||||
struct RightTableData
|
||||
{
|
||||
@ -337,7 +353,7 @@ public:
|
||||
|
||||
std::vector<MapsVariant> maps;
|
||||
Block sample_block; /// Block as it would appear in the BlockList
|
||||
BlocksList blocks; /// Blocks of "right" table.
|
||||
ScatteredBlocksList blocks; /// Blocks of "right" table.
|
||||
BlockNullmapList blocks_nullmaps; /// Nullmaps for blocks of "right" table (if needed)
|
||||
|
||||
/// Additional data - strings for string keys and continuation elements of single-linked lists of references to rows.
|
||||
@ -389,6 +405,9 @@ public:
|
||||
|
||||
void setMaxJoinedBlockRows(size_t value) { max_joined_block_rows = value; }
|
||||
|
||||
void materializeColumnsFromLeftBlock(Block & block) const;
|
||||
Block materializeColumnsFromRightBlock(Block block) const;
|
||||
|
||||
private:
|
||||
friend class NotJoinedHash;
|
||||
|
||||
@ -473,5 +492,4 @@ private:
|
||||
void tryRerangeRightTableDataImpl(Map & map);
|
||||
void doDebugAsserts() const;
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
@ -19,7 +19,7 @@ template <typename HashMap, typename KeyGetter>
|
||||
struct Inserter
|
||||
{
|
||||
static ALWAYS_INLINE bool
|
||||
insertOne(const HashJoin & join, HashMap & map, KeyGetter & key_getter, Block * stored_block, size_t i, Arena & pool)
|
||||
insertOne(const HashJoin & join, HashMap & map, KeyGetter & key_getter, const Block * stored_block, size_t i, Arena & pool)
|
||||
{
|
||||
auto emplace_result = key_getter.emplaceKey(map, i, pool);
|
||||
|
||||
@ -31,7 +31,8 @@ struct Inserter
|
||||
return false;
|
||||
}
|
||||
|
||||
static ALWAYS_INLINE void insertAll(const HashJoin &, HashMap & map, KeyGetter & key_getter, Block * stored_block, size_t i, Arena & pool)
|
||||
static ALWAYS_INLINE void
|
||||
insertAll(const HashJoin &, HashMap & map, KeyGetter & key_getter, const Block * stored_block, size_t i, Arena & pool)
|
||||
{
|
||||
auto emplace_result = key_getter.emplaceKey(map, i, pool);
|
||||
|
||||
@ -45,7 +46,13 @@ struct Inserter
|
||||
}
|
||||
|
||||
static ALWAYS_INLINE void insertAsof(
|
||||
HashJoin & join, HashMap & map, KeyGetter & key_getter, Block * stored_block, size_t i, Arena & pool, const IColumn & asof_column)
|
||||
HashJoin & join,
|
||||
HashMap & map,
|
||||
KeyGetter & key_getter,
|
||||
const Block * stored_block,
|
||||
size_t i,
|
||||
Arena & pool,
|
||||
const IColumn & asof_column)
|
||||
{
|
||||
auto emplace_result = key_getter.emplaceKey(map, i, pool);
|
||||
typename HashMap::mapped_type * time_series_map = &emplace_result.getMapped();
|
||||
@ -66,10 +73,10 @@ public:
|
||||
HashJoin & join,
|
||||
HashJoin::Type type,
|
||||
MapsTemplate & maps,
|
||||
size_t rows,
|
||||
const ColumnRawPtrs & key_columns,
|
||||
const Sizes & key_sizes,
|
||||
Block * stored_block,
|
||||
const Block * stored_block,
|
||||
const ScatteredBlock::Selector & selector,
|
||||
ConstNullMapPtr null_map,
|
||||
UInt8ColumnDataPtr join_mask,
|
||||
Arena & pool,
|
||||
@ -83,14 +90,30 @@ public:
|
||||
const Block & block_with_columns_to_add,
|
||||
const MapsTemplateVector & maps_,
|
||||
bool is_join_get = false);
|
||||
|
||||
static ScatteredBlock joinBlockImpl(
|
||||
const HashJoin & join,
|
||||
ScatteredBlock & block,
|
||||
const Block & block_with_columns_to_add,
|
||||
const MapsTemplateVector & maps_,
|
||||
bool is_join_get = false);
|
||||
|
||||
private:
|
||||
template <typename KeyGetter, bool is_asof_join>
|
||||
static KeyGetter createKeyGetter(const ColumnRawPtrs & key_columns, const Sizes & key_sizes);
|
||||
|
||||
template <typename KeyGetter, typename HashMap>
|
||||
template <typename KeyGetter, typename HashMap, typename Selector>
|
||||
static size_t insertFromBlockImplTypeCase(
|
||||
HashJoin & join, HashMap & map, size_t rows, const ColumnRawPtrs & key_columns,
|
||||
const Sizes & key_sizes, Block * stored_block, ConstNullMapPtr null_map, UInt8ColumnDataPtr join_mask, Arena & pool, bool & is_inserted);
|
||||
HashJoin & join,
|
||||
HashMap & map,
|
||||
const ColumnRawPtrs & key_columns,
|
||||
const Sizes & key_sizes,
|
||||
const Block * stored_block,
|
||||
const Selector & selector,
|
||||
ConstNullMapPtr null_map,
|
||||
UInt8ColumnDataPtr join_mask,
|
||||
Arena & pool,
|
||||
bool & is_inserted);
|
||||
|
||||
template <typename AddedColumns>
|
||||
static size_t switchJoinRightColumns(
|
||||
@ -115,12 +138,13 @@ private:
|
||||
|
||||
/// Joins right table columns which indexes are present in right_indexes using specified map.
|
||||
/// Makes filter (1 if row presented in right table) and returns offsets to replicate (for ALL JOINS).
|
||||
template <typename KeyGetter, typename Map, bool need_filter, bool flag_per_row, typename AddedColumns>
|
||||
template <typename KeyGetter, typename Map, bool need_filter, bool flag_per_row, typename AddedColumns, typename Selector>
|
||||
static size_t joinRightColumns(
|
||||
std::vector<KeyGetter> && key_getter_vector,
|
||||
const std::vector<const Map *> & mapv,
|
||||
AddedColumns & added_columns,
|
||||
JoinStuff::JoinUsedFlags & used_flags);
|
||||
JoinStuff::JoinUsedFlags & used_flags,
|
||||
const Selector & selector);
|
||||
|
||||
template <bool need_filter>
|
||||
static void setUsed(IColumn::Filter & filter [[maybe_unused]], size_t pos [[maybe_unused]]);
|
||||
|
||||
@ -1,5 +1,8 @@
|
||||
#pragma once
|
||||
#include <type_traits>
|
||||
#include <Interpreters/HashJoin/HashJoinMethods.h>
|
||||
#include "Columns/IColumn.h"
|
||||
#include "Interpreters/HashJoin/ScatteredBlock.h"
|
||||
|
||||
namespace DB
|
||||
{
|
||||
@ -13,10 +16,10 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImpl(
|
||||
HashJoin & join,
|
||||
HashJoin::Type type,
|
||||
MapsTemplate & maps,
|
||||
size_t rows,
|
||||
const ColumnRawPtrs & key_columns,
|
||||
const Sizes & key_sizes,
|
||||
Block * stored_block,
|
||||
const Block * stored_block,
|
||||
const ScatteredBlock::Selector & selector,
|
||||
ConstNullMapPtr null_map,
|
||||
UInt8ColumnDataPtr join_mask,
|
||||
Arena & pool,
|
||||
@ -33,9 +36,14 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImpl(
|
||||
|
||||
#define M(TYPE) \
|
||||
case HashJoin::Type::TYPE: \
|
||||
if (selector.isContinuousRange()) \
|
||||
return insertFromBlockImplTypeCase< \
|
||||
typename KeyGetterForType<HashJoin::Type::TYPE, std::remove_reference_t<decltype(*maps.TYPE)>>::Type>( \
|
||||
join, *maps.TYPE, rows, key_columns, key_sizes, stored_block, null_map, join_mask, pool, is_inserted); \
|
||||
join, *maps.TYPE, key_columns, key_sizes, stored_block, selector.getRange(), null_map, join_mask, pool, is_inserted); \
|
||||
else \
|
||||
return insertFromBlockImplTypeCase< \
|
||||
typename KeyGetterForType<HashJoin::Type::TYPE, std::remove_reference_t<decltype(*maps.TYPE)>>::Type>( \
|
||||
join, *maps.TYPE, key_columns, key_sizes, stored_block, selector.getIndexes(), null_map, join_mask, pool, is_inserted); \
|
||||
break;
|
||||
|
||||
APPLY_FOR_JOIN_VARIANTS(M)
|
||||
@ -46,6 +54,22 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImpl(
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
const HashJoin & join, Block & block, const Block & block_with_columns_to_add, const MapsTemplateVector & maps_, bool is_join_get)
|
||||
{
|
||||
ScatteredBlock scattered_block{block};
|
||||
auto ret = joinBlockImpl(join, scattered_block, block_with_columns_to_add, maps_, is_join_get);
|
||||
ret.filterBySelector();
|
||||
scattered_block.filterBySelector();
|
||||
block = std::move(scattered_block.getSourceBlock());
|
||||
return ret.getSourceBlock();
|
||||
}
|
||||
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
ScatteredBlock HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
const HashJoin & join,
|
||||
ScatteredBlock & block,
|
||||
const Block & block_with_columns_to_add,
|
||||
const MapsTemplateVector & maps_,
|
||||
bool is_join_get)
|
||||
{
|
||||
constexpr JoinFeatures<KIND, STRICTNESS, MapsTemplate> join_features;
|
||||
|
||||
@ -56,16 +80,8 @@ Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
const auto & key_names = !is_join_get ? onexprs[i].key_names_left : onexprs[i].key_names_right;
|
||||
join_on_keys.emplace_back(block, key_names, onexprs[i].condColumnNames().first, join.key_sizes[i]);
|
||||
}
|
||||
size_t existing_columns = block.columns();
|
||||
|
||||
/** If you use FULL or RIGHT JOIN, then the columns from the "left" table must be materialized.
|
||||
* Because if they are constants, then in the "not joined" rows, they may have different values
|
||||
* - default values, which can differ from the values of these constants.
|
||||
*/
|
||||
if constexpr (join_features.right || join_features.full)
|
||||
{
|
||||
materializeBlockInplace(block);
|
||||
}
|
||||
auto & source_block = block.getSourceBlock();
|
||||
size_t existing_columns = source_block.columns();
|
||||
|
||||
/** For LEFT/INNER JOIN, the saved blocks do not contain keys.
|
||||
* For FULL/RIGHT JOIN, the saved blocks contain keys;
|
||||
@ -90,26 +106,28 @@ Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
else
|
||||
added_columns.reserve(join_features.need_replication);
|
||||
|
||||
size_t num_joined = switchJoinRightColumns(maps_, added_columns, join.data->type, *join.used_flags);
|
||||
const size_t num_joined = switchJoinRightColumns(maps_, added_columns, join.data->type, *join.used_flags);
|
||||
/// Do not hold memory for join_on_keys anymore
|
||||
added_columns.join_on_keys.clear();
|
||||
Block remaining_block = sliceBlock(block, num_joined);
|
||||
auto remaining_block = block.cut(num_joined);
|
||||
|
||||
if (is_join_get)
|
||||
added_columns.buildJoinGetOutput();
|
||||
else
|
||||
added_columns.buildOutput();
|
||||
|
||||
if constexpr (join_features.need_filter)
|
||||
block.filter(added_columns.filter);
|
||||
|
||||
block.filterBySelector();
|
||||
|
||||
for (size_t i = 0; i < added_columns.size(); ++i)
|
||||
block.insert(added_columns.moveColumn(i));
|
||||
source_block.insert(added_columns.moveColumn(i));
|
||||
|
||||
std::vector<size_t> right_keys_to_replicate [[maybe_unused]];
|
||||
|
||||
if constexpr (join_features.need_filter)
|
||||
{
|
||||
/// If ANY INNER | RIGHT JOIN - filter all the columns except the new ones.
|
||||
for (size_t i = 0; i < existing_columns; ++i)
|
||||
block.safeGetByPosition(i).column = block.safeGetByPosition(i).column->filter(added_columns.filter, -1);
|
||||
|
||||
/// Add join key columns from right block if needed using value from left table because of equality
|
||||
for (size_t i = 0; i < join.required_right_keys.columns(); ++i)
|
||||
{
|
||||
@ -121,7 +139,7 @@ Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
const auto & left_column = block.getByName(join.required_right_keys_sources[i]);
|
||||
const auto & right_col_name = join.getTableJoin().renamedRightColumnName(right_key.name);
|
||||
auto right_col = copyLeftKeyColumnToRight(right_key.type, right_col_name, left_column);
|
||||
block.insert(std::move(right_col));
|
||||
source_block.insert(std::move(right_col));
|
||||
}
|
||||
}
|
||||
else if (has_required_right_keys)
|
||||
@ -137,28 +155,28 @@ Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinBlockImpl(
|
||||
|
||||
const auto & left_column = block.getByName(join.required_right_keys_sources[i]);
|
||||
auto right_col = copyLeftKeyColumnToRight(right_key.type, right_col_name, left_column, &added_columns.filter);
|
||||
block.insert(std::move(right_col));
|
||||
source_block.insert(std::move(right_col));
|
||||
|
||||
if constexpr (join_features.need_replication)
|
||||
right_keys_to_replicate.push_back(block.getPositionByName(right_col_name));
|
||||
right_keys_to_replicate.push_back(source_block.getPositionByName(right_col_name));
|
||||
}
|
||||
}
|
||||
|
||||
if constexpr (join_features.need_replication)
|
||||
{
|
||||
std::unique_ptr<IColumn::Offsets> & offsets_to_replicate = added_columns.offsets_to_replicate;
|
||||
IColumn::Offsets & offsets = *added_columns.offsets_to_replicate;
|
||||
|
||||
/// If ALL ... JOIN - we replicate all the columns except the new ones.
|
||||
chassert(block);
|
||||
chassert(offsets.size() == block.rows());
|
||||
|
||||
auto && columns = block.getSourceBlock().getColumns();
|
||||
for (size_t i = 0; i < existing_columns; ++i)
|
||||
{
|
||||
block.safeGetByPosition(i).column = block.safeGetByPosition(i).column->replicate(*offsets_to_replicate);
|
||||
}
|
||||
|
||||
/// Replicate additional right keys
|
||||
columns[i] = columns[i]->replicate(offsets);
|
||||
for (size_t pos : right_keys_to_replicate)
|
||||
{
|
||||
block.safeGetByPosition(pos).column = block.safeGetByPosition(pos).column->replicate(*offsets_to_replicate);
|
||||
}
|
||||
columns[pos] = columns[pos]->replicate(offsets);
|
||||
|
||||
block.getSourceBlock().setColumns(columns);
|
||||
block = ScatteredBlock(std::move(block).getSourceBlock());
|
||||
}
|
||||
return remaining_block;
|
||||
}
|
||||
@ -180,14 +198,14 @@ KeyGetter HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::createKeyGetter(const
|
||||
}
|
||||
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
template <typename KeyGetter, typename HashMap>
|
||||
template <typename KeyGetter, typename HashMap, typename Selector>
|
||||
size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImplTypeCase(
|
||||
HashJoin & join,
|
||||
HashMap & map,
|
||||
size_t rows,
|
||||
const ColumnRawPtrs & key_columns,
|
||||
const Sizes & key_sizes,
|
||||
Block * stored_block,
|
||||
const Block * stored_block,
|
||||
const Selector & selector,
|
||||
ConstNullMapPtr null_map,
|
||||
UInt8ColumnDataPtr join_mask,
|
||||
Arena & pool,
|
||||
@ -205,9 +223,22 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImplTypeC
|
||||
/// For ALL and ASOF join always insert values
|
||||
is_inserted = !mapped_one || is_asof_join;
|
||||
|
||||
size_t rows = 0;
|
||||
if constexpr (std::is_same_v<std::decay_t<Selector>, ScatteredBlock::Indexes>)
|
||||
rows = selector.getData().size();
|
||||
else
|
||||
rows = selector.second - selector.first;
|
||||
|
||||
for (size_t i = 0; i < rows; ++i)
|
||||
{
|
||||
if (null_map && (*null_map)[i])
|
||||
size_t ind = 0;
|
||||
if constexpr (std::is_same_v<std::decay_t<Selector>, ScatteredBlock::Indexes>)
|
||||
ind = selector.getData()[i];
|
||||
else
|
||||
ind = selector.first + i;
|
||||
|
||||
chassert(!null_map || ind < null_map->size());
|
||||
if (null_map && (*null_map)[ind])
|
||||
{
|
||||
/// nulls are not inserted into hash table,
|
||||
/// keep them for RIGHT and FULL joins
|
||||
@ -216,15 +247,16 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::insertFromBlockImplTypeC
|
||||
}
|
||||
|
||||
/// Check condition for right table from ON section
|
||||
if (join_mask && !(*join_mask)[i])
|
||||
chassert(!join_mask || ind < join_mask->size());
|
||||
if (join_mask && !(*join_mask)[ind])
|
||||
continue;
|
||||
|
||||
if constexpr (is_asof_join)
|
||||
Inserter<HashMap, KeyGetter>::insertAsof(join, map, key_getter, stored_block, i, pool, *asof_column);
|
||||
Inserter<HashMap, KeyGetter>::insertAsof(join, map, key_getter, stored_block, ind, pool, *asof_column);
|
||||
else if constexpr (mapped_one)
|
||||
is_inserted |= Inserter<HashMap, KeyGetter>::insertOne(join, map, key_getter, stored_block, i, pool);
|
||||
is_inserted |= Inserter<HashMap, KeyGetter>::insertOne(join, map, key_getter, stored_block, ind, pool);
|
||||
else
|
||||
Inserter<HashMap, KeyGetter>::insertAll(join, map, key_getter, stored_block, i, pool);
|
||||
Inserter<HashMap, KeyGetter>::insertAll(join, map, key_getter, stored_block, ind, pool);
|
||||
}
|
||||
return map.getBufferSizeInCells();
|
||||
}
|
||||
@ -318,26 +350,43 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumnsSwitchMu
|
||||
if (added_columns.additional_filter_expression)
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Additional filter expression is not supported for this JOIN");
|
||||
|
||||
return mapv.size() > 1 ? joinRightColumns<KeyGetter, Map, need_filter, true>(
|
||||
std::forward<std::vector<KeyGetter>>(key_getter_vector), mapv, added_columns, used_flags)
|
||||
: joinRightColumns<KeyGetter, Map, need_filter, false>(
|
||||
std::forward<std::vector<KeyGetter>>(key_getter_vector), mapv, added_columns, used_flags);
|
||||
auto & block = added_columns.src_block;
|
||||
if (block.getSelector().isContinuousRange())
|
||||
{
|
||||
if (mapv.size() > 1)
|
||||
return joinRightColumns<KeyGetter, Map, need_filter, true>(
|
||||
std::move(key_getter_vector), mapv, added_columns, used_flags, block.getSelector().getRange());
|
||||
else
|
||||
return joinRightColumns<KeyGetter, Map, need_filter, false>(
|
||||
std::move(key_getter_vector), mapv, added_columns, used_flags, block.getSelector().getRange());
|
||||
}
|
||||
else
|
||||
{
|
||||
if (mapv.size() > 1)
|
||||
return joinRightColumns<KeyGetter, Map, need_filter, true>(
|
||||
std::move(key_getter_vector), mapv, added_columns, used_flags, block.getSelector().getIndexes());
|
||||
else
|
||||
return joinRightColumns<KeyGetter, Map, need_filter, false>(
|
||||
std::move(key_getter_vector), mapv, added_columns, used_flags, block.getSelector().getIndexes());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/// Joins right table columns which indexes are present in right_indexes using specified map.
|
||||
/// Makes filter (1 if row presented in right table) and returns offsets to replicate (for ALL JOINS).
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
template <typename KeyGetter, typename Map, bool need_filter, bool flag_per_row, typename AddedColumns>
|
||||
template <typename KeyGetter, typename Map, bool need_filter, bool flag_per_row, typename AddedColumns, typename Selector>
|
||||
size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumns(
|
||||
std::vector<KeyGetter> && key_getter_vector,
|
||||
const std::vector<const Map *> & mapv,
|
||||
AddedColumns & added_columns,
|
||||
JoinStuff::JoinUsedFlags & used_flags)
|
||||
JoinStuff::JoinUsedFlags & used_flags,
|
||||
const Selector & selector)
|
||||
{
|
||||
constexpr JoinFeatures<KIND, STRICTNESS, MapsTemplate> join_features;
|
||||
|
||||
size_t rows = added_columns.rows_to_add;
|
||||
auto & block = added_columns.src_block;
|
||||
size_t rows = block.rows();
|
||||
if constexpr (need_filter)
|
||||
added_columns.filter = IColumn::Filter(rows, 0);
|
||||
if constexpr (!flag_per_row && (STRICTNESS == JoinStrictness::All || (STRICTNESS == JoinStrictness::Semi && KIND == JoinKind::Right)))
|
||||
@ -353,6 +402,12 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumns(
|
||||
size_t i = 0;
|
||||
for (; i < rows; ++i)
|
||||
{
|
||||
size_t ind = 0;
|
||||
if constexpr (std::is_same_v<std::decay_t<Selector>, ScatteredBlock::Indexes>)
|
||||
ind = selector.getData()[i];
|
||||
else
|
||||
ind = selector.first + i;
|
||||
|
||||
if constexpr (join_features.need_replication)
|
||||
{
|
||||
if (unlikely(current_offset >= max_joined_block_rows))
|
||||
@ -368,12 +423,12 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumns(
|
||||
for (size_t onexpr_idx = 0; onexpr_idx < added_columns.join_on_keys.size(); ++onexpr_idx)
|
||||
{
|
||||
const auto & join_keys = added_columns.join_on_keys[onexpr_idx];
|
||||
if (join_keys.null_map && (*join_keys.null_map)[i])
|
||||
if (join_keys.null_map && (*join_keys.null_map)[ind])
|
||||
continue;
|
||||
|
||||
bool row_acceptable = !join_keys.isRowFiltered(i);
|
||||
bool row_acceptable = !join_keys.isRowFiltered(ind);
|
||||
using FindResult = typename KeyGetter::FindResult;
|
||||
auto find_result = row_acceptable ? key_getter_vector[onexpr_idx].findKey(*(mapv[onexpr_idx]), i, pool) : FindResult();
|
||||
auto find_result = row_acceptable ? key_getter_vector[onexpr_idx].findKey(*(mapv[onexpr_idx]), ind, pool) : FindResult();
|
||||
|
||||
if (find_result.isFound())
|
||||
{
|
||||
@ -383,7 +438,7 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumns(
|
||||
{
|
||||
const IColumn & left_asof_key = added_columns.leftAsofKey();
|
||||
|
||||
auto row_ref = mapped->findAsof(left_asof_key, i);
|
||||
auto row_ref = mapped->findAsof(left_asof_key, ind);
|
||||
if (row_ref && row_ref->block)
|
||||
{
|
||||
setUsed<need_filter>(added_columns.filter, i);
|
||||
@ -529,11 +584,6 @@ ColumnPtr HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::buildAdditionalFilter
|
||||
}
|
||||
right_col_pos += 1;
|
||||
}
|
||||
if (!executed_block)
|
||||
{
|
||||
result_column = ColumnUInt8::create();
|
||||
break;
|
||||
}
|
||||
|
||||
for (const auto & col_name : required_column_names)
|
||||
{
|
||||
@ -848,23 +898,6 @@ size_t HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::joinRightColumnsWithAddt
|
||||
return left_row_iter;
|
||||
}
|
||||
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
Block HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::sliceBlock(Block & block, size_t num_rows)
|
||||
{
|
||||
size_t total_rows = block.rows();
|
||||
if (num_rows >= total_rows)
|
||||
return {};
|
||||
size_t remaining_rows = total_rows - num_rows;
|
||||
Block remaining_block = block.cloneEmpty();
|
||||
for (size_t i = 0; i < block.columns(); ++i)
|
||||
{
|
||||
auto & col = block.getByPosition(i);
|
||||
remaining_block.getByPosition(i).column = col.column->cut(num_rows, remaining_rows);
|
||||
col.column = col.column->cut(0, num_rows);
|
||||
}
|
||||
return remaining_block;
|
||||
}
|
||||
|
||||
template <JoinKind KIND, JoinStrictness STRICTNESS, typename MapsTemplate>
|
||||
ColumnWithTypeAndName HashJoinMethods<KIND, STRICTNESS, MapsTemplate>::copyLeftKeyColumnToRight(
|
||||
const DataTypePtr & right_key_type,
|
||||
|
||||
337
src/Interpreters/HashJoin/ScatteredBlock.h
Normal file
337
src/Interpreters/HashJoin/ScatteredBlock.h
Normal file
@ -0,0 +1,337 @@
|
||||
#pragma once
|
||||
|
||||
#include <Columns/ColumnsNumber.h>
|
||||
#include <Columns/IColumn.h>
|
||||
#include <Core/Block.h>
|
||||
#include <base/defines.h>
|
||||
#include <Common/PODArray.h>
|
||||
|
||||
#include <Poco/Logger.h>
|
||||
#include <Common/logger_useful.h>
|
||||
|
||||
#include <boost/noncopyable.hpp>
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int LOGICAL_ERROR;
|
||||
}
|
||||
|
||||
namespace detail
|
||||
{
|
||||
|
||||
/// Previously ConcurrentHashJoin used IColumn::scatter method to split input blocks to sub-blocks by hash.
|
||||
/// To avoid copying of columns, we introduce a new class ScatteredBlock that holds a block and a selector.
|
||||
/// So now each threads get a copy of the source input block and a selector that tells which rows are meant for the given thread.
|
||||
/// Selector can be seen as just a list of indexes or rows that belong to the given thread.
|
||||
/// One optimization is to use a continuous range instead of explicit list of indexes when selector contains all indexes from [L, R).
|
||||
class Selector
|
||||
{
|
||||
public:
|
||||
using Range = std::pair<size_t, size_t>;
|
||||
using Indexes = ColumnUInt64;
|
||||
using IndexesPtr = ColumnUInt64::MutablePtr;
|
||||
|
||||
/// [begin, end)
|
||||
Selector(size_t begin, size_t end) : data(Range{begin, end}) { }
|
||||
Selector() : Selector(0, 0) { }
|
||||
explicit Selector(size_t size) : Selector(0, size) { }
|
||||
|
||||
explicit Selector(IndexesPtr && selector_) : data(initializeFromSelector(std::move(selector_))) { }
|
||||
|
||||
class Iterator
|
||||
{
|
||||
public:
|
||||
using iterator_category = std::forward_iterator_tag;
|
||||
using value_type = size_t;
|
||||
using difference_type = std::ptrdiff_t;
|
||||
using pointer = size_t *;
|
||||
using reference = size_t &;
|
||||
|
||||
Iterator(const Selector & selector_, size_t idx_) : selector(selector_), idx(idx_) { }
|
||||
|
||||
size_t ALWAYS_INLINE operator*() const
|
||||
{
|
||||
chassert(idx < selector.size());
|
||||
if (idx >= selector.size())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Index {} out of range size {}", idx, selector.size());
|
||||
return selector[idx];
|
||||
}
|
||||
|
||||
Iterator & ALWAYS_INLINE operator++()
|
||||
{
|
||||
if (idx >= selector.size())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Index {} out of range size {}", idx, selector.size());
|
||||
++idx;
|
||||
return *this;
|
||||
}
|
||||
|
||||
bool ALWAYS_INLINE operator!=(const Iterator & other) const { return idx != other.idx; }
|
||||
|
||||
private:
|
||||
const Selector & selector;
|
||||
size_t idx;
|
||||
};
|
||||
|
||||
Iterator begin() const { return Iterator(*this, 0); }
|
||||
|
||||
Iterator end() const { return Iterator(*this, size()); }
|
||||
|
||||
size_t ALWAYS_INLINE operator[](size_t idx) const
|
||||
{
|
||||
chassert(idx < size());
|
||||
|
||||
if (std::holds_alternative<Range>(data))
|
||||
{
|
||||
const auto range = std::get<Range>(data);
|
||||
return range.first + idx;
|
||||
}
|
||||
else
|
||||
{
|
||||
return std::get<IndexesPtr>(data)->getData()[idx];
|
||||
}
|
||||
}
|
||||
|
||||
size_t size() const
|
||||
{
|
||||
if (std::holds_alternative<Range>(data))
|
||||
{
|
||||
const auto range = std::get<Range>(data);
|
||||
return range.second - range.first;
|
||||
}
|
||||
else
|
||||
{
|
||||
return std::get<IndexesPtr>(data)->size();
|
||||
}
|
||||
}
|
||||
|
||||
/// First selector contains first `num_rows` rows, second selector contains the rest
|
||||
std::pair<Selector, Selector> split(size_t num_rows)
|
||||
{
|
||||
chassert(num_rows <= size());
|
||||
|
||||
if (std::holds_alternative<Range>(data))
|
||||
{
|
||||
const auto range = std::get<Range>(data);
|
||||
|
||||
if (num_rows == 0)
|
||||
return {Selector(), Selector{range.first, range.second}};
|
||||
|
||||
if (num_rows == size())
|
||||
return {Selector{range.first, range.second}, Selector()};
|
||||
|
||||
return {Selector(range.first, range.first + num_rows), Selector(range.first + num_rows, range.second)};
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto & selector = std::get<IndexesPtr>(data)->getData();
|
||||
auto && left = Selector(Indexes::create(selector.begin(), selector.begin() + num_rows));
|
||||
auto && right = Selector(Indexes::create(selector.begin() + num_rows, selector.end()));
|
||||
return {std::move(left), std::move(right)};
|
||||
}
|
||||
}
|
||||
|
||||
bool isContinuousRange() const { return std::holds_alternative<Range>(data); }
|
||||
|
||||
Range getRange() const
|
||||
{
|
||||
chassert(isContinuousRange());
|
||||
return std::get<Range>(data);
|
||||
}
|
||||
|
||||
const Indexes & getIndexes() const
|
||||
{
|
||||
chassert(!isContinuousRange());
|
||||
return *std::get<IndexesPtr>(data);
|
||||
}
|
||||
|
||||
std::string toString() const
|
||||
{
|
||||
if (std::holds_alternative<Range>(data))
|
||||
{
|
||||
const auto range = std::get<Range>(data);
|
||||
return fmt::format("[{}, {})", range.first, range.second);
|
||||
}
|
||||
else
|
||||
{
|
||||
const auto & selector = std::get<IndexesPtr>(data)->getData();
|
||||
return fmt::format("({})", fmt::join(selector, ","));
|
||||
}
|
||||
}
|
||||
|
||||
private:
|
||||
using Data = std::variant<Range, IndexesPtr>;
|
||||
|
||||
Data initializeFromSelector(IndexesPtr && selector_)
|
||||
{
|
||||
const auto & selector = selector_->getData();
|
||||
if (selector.empty())
|
||||
return Range{0, 0};
|
||||
|
||||
/// selector represents continuous range
|
||||
if (selector.back() == selector.front() + selector.size() - 1)
|
||||
return Range{selector.front(), selector.front() + selector.size()};
|
||||
|
||||
return std::move(selector_);
|
||||
}
|
||||
|
||||
Data data;
|
||||
};
|
||||
|
||||
}
|
||||
|
||||
/// Source block + list of selected rows. See detail::Selector for more details.
|
||||
struct ScatteredBlock : private boost::noncopyable
|
||||
{
|
||||
using Selector = detail::Selector;
|
||||
using Indexes = Selector::Indexes;
|
||||
using IndexesPtr = Selector::IndexesPtr;
|
||||
|
||||
ScatteredBlock() = default;
|
||||
|
||||
explicit ScatteredBlock(Block block_) : block(std::move(block_)), selector(block.rows()) { }
|
||||
|
||||
ScatteredBlock(Block block_, IndexesPtr && selector_) : block(std::move(block_)), selector(std::move(selector_)) { }
|
||||
|
||||
ScatteredBlock(Block block_, Selector selector_) : block(std::move(block_)), selector(std::move(selector_)) { }
|
||||
|
||||
ScatteredBlock(ScatteredBlock && other) noexcept : block(std::move(other.block)), selector(std::move(other.selector))
|
||||
{
|
||||
other.block.clear();
|
||||
other.selector = {};
|
||||
}
|
||||
|
||||
ScatteredBlock & operator=(ScatteredBlock && other) noexcept
|
||||
{
|
||||
if (this != &other)
|
||||
{
|
||||
block = std::move(other.block);
|
||||
selector = std::move(other.selector);
|
||||
|
||||
other.block.clear();
|
||||
other.selector = {};
|
||||
}
|
||||
return *this;
|
||||
}
|
||||
|
||||
Block & getSourceBlock() & { return block; }
|
||||
const Block & getSourceBlock() const & { return block; }
|
||||
|
||||
Block && getSourceBlock() && { return std::move(block); }
|
||||
|
||||
const auto & getSelector() const { return selector; }
|
||||
|
||||
explicit operator bool() const { return !!block; }
|
||||
|
||||
/// Accounts only selected rows
|
||||
size_t rows() const { return selector.size(); }
|
||||
|
||||
/// In case of scattered block we account proportional share of the source block bytes.
|
||||
/// For not scattered columns it will be trivial (bytes * N / N) calculation.
|
||||
size_t allocatedBytes() const { return block.rows() ? block.allocatedBytes() * rows() / block.rows() : 0; }
|
||||
|
||||
ScatteredBlock shrinkToFit() const
|
||||
{
|
||||
if (wasScattered())
|
||||
{
|
||||
LOG_TEST(getLogger("HashJoin"), "shrinkToFit() is not supported for ScatteredBlock because blocks are shared");
|
||||
return ScatteredBlock{block};
|
||||
}
|
||||
return ScatteredBlock{block.shrinkToFit()};
|
||||
}
|
||||
|
||||
ScatteredBlock compress() const
|
||||
{
|
||||
if (wasScattered())
|
||||
throw Exception(ErrorCodes::LOGICAL_ERROR, "Cannot compress ScatteredBlock");
|
||||
return ScatteredBlock{block.compress()};
|
||||
}
|
||||
|
||||
const auto & getByPosition(size_t i) const { return block.getByPosition(i); }
|
||||
|
||||
/// Whether `block` was scattered, i.e. `selector` != [0, block.rows())
|
||||
bool wasScattered() const
|
||||
{
|
||||
return selector.size() != block.rows();
|
||||
}
|
||||
|
||||
const ColumnWithTypeAndName & getByName(const std::string & name) const
|
||||
{
|
||||
return block.getByName(name);
|
||||
}
|
||||
|
||||
/// Filters selector by mask discarding rows for which filter is false
|
||||
void filter(const IColumn::Filter & filter)
|
||||
{
|
||||
chassert(block && block.rows() == filter.size());
|
||||
IndexesPtr new_selector = Indexes::create();
|
||||
new_selector->reserve(selector.size());
|
||||
std::copy_if(
|
||||
selector.begin(), selector.end(), std::back_inserter(new_selector->getData()), [&](size_t idx) { return filter[idx]; });
|
||||
selector = Selector(std::move(new_selector));
|
||||
}
|
||||
|
||||
/// Applies `selector` to the `block` in-place
|
||||
void filterBySelector()
|
||||
{
|
||||
if (!block || !wasScattered())
|
||||
return;
|
||||
|
||||
if (selector.isContinuousRange())
|
||||
{
|
||||
const auto range = selector.getRange();
|
||||
for (size_t i = 0; i < block.columns(); ++i)
|
||||
{
|
||||
auto & col = block.getByPosition(i);
|
||||
col.column = col.column->cut(range.first, range.second - range.first);
|
||||
}
|
||||
selector = Selector(block.rows());
|
||||
return;
|
||||
}
|
||||
|
||||
/// The general case when `selector` is non-trivial (likely the result of applying a filter)
|
||||
auto columns = block.getColumns();
|
||||
for (auto & col : columns)
|
||||
col = col->index(selector.getIndexes(), /*limit*/ 0);
|
||||
block.setColumns(columns);
|
||||
selector = Selector(block.rows());
|
||||
}
|
||||
|
||||
/// Cut first `num_rows` rows from `block` in place and returns block with remaining rows
|
||||
ScatteredBlock cut(size_t num_rows)
|
||||
{
|
||||
SCOPE_EXIT(filterBySelector());
|
||||
|
||||
if (num_rows >= rows())
|
||||
return ScatteredBlock{Block{}};
|
||||
|
||||
chassert(block);
|
||||
|
||||
auto && [first_num_rows, remaining_selector] = selector.split(num_rows);
|
||||
|
||||
auto remaining = ScatteredBlock{block, std::move(remaining_selector)};
|
||||
|
||||
selector = std::move(first_num_rows);
|
||||
|
||||
return remaining;
|
||||
}
|
||||
|
||||
private:
|
||||
Block block;
|
||||
Selector selector;
|
||||
};
|
||||
|
||||
using ScatteredBlocks = std::vector<ScatteredBlock>;
|
||||
|
||||
struct ExtraScatteredBlocks
|
||||
{
|
||||
ScatteredBlocks remaining_blocks;
|
||||
|
||||
bool rows() const
|
||||
{
|
||||
return std::ranges::any_of(remaining_blocks, [](const auto & bl) { return bl.rows(); });
|
||||
}
|
||||
};
|
||||
}
|
||||
@ -2,9 +2,10 @@
|
||||
|
||||
#include <memory>
|
||||
|
||||
#include <Core/Names.h>
|
||||
#include <Core/Block.h>
|
||||
#include <Columns/IColumn.h>
|
||||
#include <Core/Block.h>
|
||||
#include <Core/Names.h>
|
||||
#include <Interpreters/HashJoin/ScatteredBlock.h>
|
||||
#include <Common/Exception.h>
|
||||
|
||||
namespace DB
|
||||
@ -89,6 +90,13 @@ public:
|
||||
/// Could be called from different threads in parallel.
|
||||
virtual void joinBlock(Block & block, std::shared_ptr<ExtraBlock> & not_processed) = 0;
|
||||
|
||||
virtual bool isScatteredJoin() const { return false; }
|
||||
virtual void joinBlock(
|
||||
[[maybe_unused]] Block & block, [[maybe_unused]] ExtraScatteredBlocks & extra_blocks, [[maybe_unused]] std::vector<Block> & res)
|
||||
{
|
||||
throw Exception(ErrorCodes::UNSUPPORTED_METHOD, "joinBlock is not supported for {}", getName());
|
||||
}
|
||||
|
||||
/** Set/Get totals for right table
|
||||
* Keep "totals" (separate part of dataset, see WITH TOTALS) to use later.
|
||||
*/
|
||||
|
||||
@ -1887,6 +1887,7 @@ void InterpreterSelectQuery::executeImpl(QueryPlan & query_plan, std::optional<P
|
||||
joined_plan->getCurrentHeader(),
|
||||
expressions.join,
|
||||
settings[Setting::max_block_size],
|
||||
0,
|
||||
max_streams,
|
||||
analysis_result.optimize_read_in_order);
|
||||
|
||||
|
||||
@ -7,12 +7,18 @@
|
||||
#include <base/terminalColors.h>
|
||||
#include <Common/CurrentThread.h>
|
||||
#include <Common/HashTable/Hash.h>
|
||||
#include <Common/DateLUT.h>
|
||||
#include <Common/DateLUTImpl.h>
|
||||
|
||||
|
||||
OwnJSONPatternFormatter::OwnJSONPatternFormatter(Poco::Util::AbstractConfiguration & config)
|
||||
{
|
||||
if (config.has("logger.formatting.names.date_time"))
|
||||
date_time = config.getString("logger.formatting.names.date_time", "");
|
||||
|
||||
if (config.has("logger.formatting.names.date_time_utc"))
|
||||
date_time_utc= config.getString("logger.formatting.names.date_time_utc", "");
|
||||
|
||||
if (config.has("logger.formatting.names.thread_name"))
|
||||
thread_name = config.getString("logger.formatting.names.thread_name", "");
|
||||
|
||||
@ -41,6 +47,7 @@ OwnJSONPatternFormatter::OwnJSONPatternFormatter(Poco::Util::AbstractConfigurati
|
||||
&& logger_name.empty() && message.empty() && source_file.empty() && source_line.empty())
|
||||
{
|
||||
date_time = "date_time";
|
||||
date_time_utc = "date_time_utc";
|
||||
thread_name = "thread_name";
|
||||
thread_id = "thread_id";
|
||||
level = "level";
|
||||
@ -62,8 +69,22 @@ void OwnJSONPatternFormatter::formatExtended(const DB::ExtendedLogMessage & msg_
|
||||
const Poco::Message & msg = msg_ext.base;
|
||||
DB::writeChar('{', wb);
|
||||
|
||||
if (!date_time_utc.empty())
|
||||
{
|
||||
writeJSONString(date_time_utc, wb, settings);
|
||||
DB::writeChar(':', wb);
|
||||
|
||||
DB::writeChar('\"', wb);
|
||||
static const DateLUTImpl & utc_time_zone = DateLUT::instance("UTC");
|
||||
writeDateTimeTextISO(msg_ext.time_seconds, 0, wb, utc_time_zone);
|
||||
|
||||
DB::writeChar('\"', wb);
|
||||
print_comma = true;
|
||||
}
|
||||
|
||||
if (!date_time.empty())
|
||||
{
|
||||
if (print_comma) DB::writeChar(',', wb);
|
||||
writeJSONString(date_time, wb, settings);
|
||||
DB::writeChar(':', wb);
|
||||
|
||||
@ -81,6 +102,7 @@ void OwnJSONPatternFormatter::formatExtended(const DB::ExtendedLogMessage & msg_
|
||||
print_comma = true;
|
||||
}
|
||||
|
||||
|
||||
if (!thread_name.empty())
|
||||
{
|
||||
if (print_comma)
|
||||
|
||||
@ -33,6 +33,7 @@ public:
|
||||
|
||||
private:
|
||||
std::string date_time;
|
||||
std::string date_time_utc;
|
||||
std::string thread_name;
|
||||
std::string thread_id;
|
||||
std::string level;
|
||||
|
||||
@ -104,6 +104,7 @@ namespace Setting
|
||||
extern const SettingsBool optimize_move_to_prewhere;
|
||||
extern const SettingsBool optimize_move_to_prewhere_if_final;
|
||||
extern const SettingsBool use_concurrency_control;
|
||||
extern const SettingsUInt64 min_joined_block_size_bytes;
|
||||
}
|
||||
|
||||
namespace ErrorCodes
|
||||
@ -1649,6 +1650,7 @@ JoinTreeQueryPlan buildQueryPlanForJoinNode(
|
||||
right_plan.getCurrentHeader(),
|
||||
std::move(join_algorithm),
|
||||
settings[Setting::max_block_size],
|
||||
settings[Setting::min_joined_block_size_bytes],
|
||||
settings[Setting::max_threads],
|
||||
false /*optimize_read_in_order*/);
|
||||
|
||||
|
||||
@ -1,9 +1,10 @@
|
||||
#include <Processors/QueryPlan/JoinStep.h>
|
||||
#include <QueryPipeline/QueryPipelineBuilder.h>
|
||||
#include <Processors/Transforms/JoiningTransform.h>
|
||||
#include <IO/Operators.h>
|
||||
#include <Interpreters/IJoin.h>
|
||||
#include <Interpreters/TableJoin.h>
|
||||
#include <IO/Operators.h>
|
||||
#include <Processors/QueryPlan/JoinStep.h>
|
||||
#include <Processors/Transforms/JoiningTransform.h>
|
||||
#include <Processors/Transforms/SquashingTransform.h>
|
||||
#include <QueryPipeline/QueryPipelineBuilder.h>
|
||||
#include <Common/JSONBuilder.h>
|
||||
#include <Common/typeid_cast.h>
|
||||
|
||||
@ -43,9 +44,14 @@ JoinStep::JoinStep(
|
||||
const Header & right_header_,
|
||||
JoinPtr join_,
|
||||
size_t max_block_size_,
|
||||
size_t min_block_size_bytes_,
|
||||
size_t max_streams_,
|
||||
bool keep_left_read_in_order_)
|
||||
: join(std::move(join_)), max_block_size(max_block_size_), max_streams(max_streams_), keep_left_read_in_order(keep_left_read_in_order_)
|
||||
: join(std::move(join_))
|
||||
, max_block_size(max_block_size_)
|
||||
, min_block_size_bytes(min_block_size_bytes_)
|
||||
, max_streams(max_streams_)
|
||||
, keep_left_read_in_order(keep_left_read_in_order_)
|
||||
{
|
||||
updateInputHeaders({left_header_, right_header_});
|
||||
}
|
||||
@ -63,15 +69,24 @@ QueryPipelineBuilderPtr JoinStep::updatePipeline(QueryPipelineBuilders pipelines
|
||||
return joined_pipeline;
|
||||
}
|
||||
|
||||
return QueryPipelineBuilder::joinPipelinesRightLeft(
|
||||
auto pipeline = QueryPipelineBuilder::joinPipelinesRightLeft(
|
||||
std::move(pipelines[0]),
|
||||
std::move(pipelines[1]),
|
||||
join,
|
||||
*output_header,
|
||||
max_block_size,
|
||||
min_block_size_bytes,
|
||||
max_streams,
|
||||
keep_left_read_in_order,
|
||||
&processors);
|
||||
|
||||
if (join->supportParallelJoin())
|
||||
{
|
||||
pipeline->addSimpleTransform([&](const Block & header)
|
||||
{ return std::make_shared<SimpleSquashingChunksTransform>(header, 0, min_block_size_bytes); });
|
||||
}
|
||||
|
||||
return pipeline;
|
||||
}
|
||||
|
||||
bool JoinStep::allowPushDownToRight() const
|
||||
|
||||
@ -18,6 +18,7 @@ public:
|
||||
const Header & right_header_,
|
||||
JoinPtr join_,
|
||||
size_t max_block_size_,
|
||||
size_t min_block_size_bytes_,
|
||||
size_t max_streams_,
|
||||
bool keep_left_read_in_order_);
|
||||
|
||||
@ -39,6 +40,7 @@ private:
|
||||
|
||||
JoinPtr join;
|
||||
size_t max_block_size;
|
||||
size_t min_block_size_bytes;
|
||||
size_t max_streams;
|
||||
bool keep_left_read_in_order;
|
||||
};
|
||||
|
||||
@ -75,8 +75,9 @@ IProcessor::Status JoiningTransform::prepare()
|
||||
/// Output if has data.
|
||||
if (has_output)
|
||||
{
|
||||
output.push(std::move(output_chunk));
|
||||
has_output = false;
|
||||
output.push(std::move(output_chunks.front()));
|
||||
output_chunks.pop_front();
|
||||
has_output = !output_chunks.empty();
|
||||
|
||||
return Status::PortFull;
|
||||
}
|
||||
@ -122,10 +123,10 @@ void JoiningTransform::work()
|
||||
{
|
||||
if (has_input)
|
||||
{
|
||||
chassert(output_chunks.empty());
|
||||
transform(input_chunk);
|
||||
output_chunk.swap(input_chunk);
|
||||
has_input = not_processed != nullptr;
|
||||
has_output = !output_chunk.empty();
|
||||
has_output = !output_chunks.empty();
|
||||
}
|
||||
else
|
||||
{
|
||||
@ -153,8 +154,7 @@ void JoiningTransform::work()
|
||||
return;
|
||||
}
|
||||
|
||||
auto rows = block.rows();
|
||||
output_chunk.setColumns(block.getColumns(), rows);
|
||||
output_chunks.emplace_back(block.getColumns(), block.rows());
|
||||
has_output = true;
|
||||
}
|
||||
}
|
||||
@ -173,7 +173,7 @@ void JoiningTransform::transform(Chunk & chunk)
|
||||
}
|
||||
}
|
||||
|
||||
Block block;
|
||||
Blocks res;
|
||||
if (on_totals)
|
||||
{
|
||||
const auto & left_totals = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
@ -184,39 +184,58 @@ void JoiningTransform::transform(Chunk & chunk)
|
||||
if (default_totals && !right_totals)
|
||||
return;
|
||||
|
||||
block = outputs.front().getHeader().cloneEmpty();
|
||||
JoinCommon::joinTotals(left_totals, right_totals, join->getTableJoin(), block);
|
||||
res.emplace_back();
|
||||
res.back() = outputs.front().getHeader().cloneEmpty();
|
||||
JoinCommon::joinTotals(left_totals, right_totals, join->getTableJoin(), res.back());
|
||||
}
|
||||
else
|
||||
block = readExecute(chunk);
|
||||
auto num_rows = block.rows();
|
||||
chunk.setColumns(block.getColumns(), num_rows);
|
||||
res = readExecute(chunk);
|
||||
|
||||
std::ranges::for_each(res, [this](Block & block) { output_chunks.emplace_back(block.getColumns(), block.rows()); });
|
||||
}
|
||||
|
||||
Block JoiningTransform::readExecute(Chunk & chunk)
|
||||
Blocks JoiningTransform::readExecute(Chunk & chunk)
|
||||
{
|
||||
Block res;
|
||||
Blocks res;
|
||||
Block block;
|
||||
|
||||
auto join_block = [&]()
|
||||
{
|
||||
if (join->isScatteredJoin())
|
||||
{
|
||||
join->joinBlock(block, remaining_blocks, res);
|
||||
if (remaining_blocks.rows())
|
||||
not_processed = std::make_shared<ExtraBlock>();
|
||||
else
|
||||
not_processed.reset();
|
||||
}
|
||||
else
|
||||
{
|
||||
join->joinBlock(block, not_processed);
|
||||
res.push_back(std::move(block));
|
||||
}
|
||||
};
|
||||
|
||||
if (!not_processed)
|
||||
{
|
||||
if (chunk.hasColumns())
|
||||
res = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
block = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
|
||||
if (res)
|
||||
join->joinBlock(res, not_processed);
|
||||
if (block)
|
||||
join_block();
|
||||
}
|
||||
else if (not_processed->empty()) /// There's not processed data inside expression.
|
||||
{
|
||||
if (chunk.hasColumns())
|
||||
res = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
block = inputs.front().getHeader().cloneWithColumns(chunk.detachColumns());
|
||||
|
||||
not_processed.reset();
|
||||
join->joinBlock(res, not_processed);
|
||||
join_block();
|
||||
}
|
||||
else
|
||||
{
|
||||
res = std::move(not_processed->block);
|
||||
join->joinBlock(res, not_processed);
|
||||
block = std::move(not_processed->block);
|
||||
join_block();
|
||||
}
|
||||
|
||||
return res;
|
||||
|
||||
@ -1,6 +1,10 @@
|
||||
#pragma once
|
||||
#include <Processors/IProcessor.h>
|
||||
|
||||
#include <Interpreters/HashJoin/ScatteredBlock.h>
|
||||
#include <Processors/Chunk.h>
|
||||
#include <Processors/IProcessor.h>
|
||||
|
||||
#include <deque>
|
||||
#include <memory>
|
||||
|
||||
namespace DB
|
||||
@ -66,7 +70,7 @@ protected:
|
||||
|
||||
private:
|
||||
Chunk input_chunk;
|
||||
Chunk output_chunk;
|
||||
std::deque<Chunk> output_chunks;
|
||||
bool has_input = false;
|
||||
bool has_output = false;
|
||||
bool stop_reading = false;
|
||||
@ -80,13 +84,16 @@ private:
|
||||
bool default_totals;
|
||||
bool initialized = false;
|
||||
|
||||
/// Only used with ConcurrentHashJoin
|
||||
ExtraScatteredBlocks remaining_blocks;
|
||||
|
||||
ExtraBlockPtr not_processed;
|
||||
|
||||
FinishCounterPtr finish_counter;
|
||||
IBlocksStreamPtr non_joined_blocks;
|
||||
size_t max_block_size;
|
||||
|
||||
Block readExecute(Chunk & chunk);
|
||||
Blocks readExecute(Chunk & chunk);
|
||||
};
|
||||
|
||||
/// Fills Join with block from right table.
|
||||
|
||||
@ -78,7 +78,7 @@ Chunk SimpleSquashingChunksTransform::generate()
|
||||
|
||||
bool SimpleSquashingChunksTransform::canGenerate()
|
||||
{
|
||||
return !squashed_chunk.empty();
|
||||
return squashed_chunk.hasRows();
|
||||
}
|
||||
|
||||
Chunk SimpleSquashingChunksTransform::getRemaining()
|
||||
|
||||
@ -26,6 +26,7 @@
|
||||
#include <Processors/Transforms/MergingAggregatedMemoryEfficientTransform.h>
|
||||
#include <Processors/Transforms/PartialSortingTransform.h>
|
||||
#include <Processors/Transforms/PasteJoinTransform.h>
|
||||
#include <Processors/Transforms/SquashingTransform.h>
|
||||
#include <Processors/Transforms/TotalsHavingTransform.h>
|
||||
#include <QueryPipeline/narrowPipe.h>
|
||||
#include <Common/CurrentThread.h>
|
||||
@ -385,6 +386,7 @@ std::unique_ptr<QueryPipelineBuilder> QueryPipelineBuilder::joinPipelinesRightLe
|
||||
JoinPtr join,
|
||||
const Block & output_header,
|
||||
size_t max_block_size,
|
||||
size_t min_block_size_bytes,
|
||||
size_t max_streams,
|
||||
bool keep_left_read_in_order,
|
||||
Processors * collected_processors)
|
||||
@ -441,9 +443,12 @@ std::unique_ptr<QueryPipelineBuilder> QueryPipelineBuilder::joinPipelinesRightLe
|
||||
Processors processors;
|
||||
for (auto & outport : outports)
|
||||
{
|
||||
auto squashing = std::make_shared<SimpleSquashingChunksTransform>(right->getHeader(), 0, min_block_size_bytes);
|
||||
connect(*outport, squashing->getInputs().front());
|
||||
processors.emplace_back(squashing);
|
||||
auto adding_joined = std::make_shared<FillingRightJoinSideTransform>(right->getHeader(), join);
|
||||
connect(*outport, adding_joined->getInputs().front());
|
||||
processors.emplace_back(adding_joined);
|
||||
connect(squashing->getOutputPort(), adding_joined->getInputs().front());
|
||||
processors.emplace_back(std::move(adding_joined));
|
||||
}
|
||||
return processors;
|
||||
};
|
||||
@ -497,10 +502,13 @@ std::unique_ptr<QueryPipelineBuilder> QueryPipelineBuilder::joinPipelinesRightLe
|
||||
Block left_header = left->getHeader();
|
||||
for (size_t i = 0; i < num_streams; ++i)
|
||||
{
|
||||
auto squashing = std::make_shared<SimpleSquashingChunksTransform>(left->getHeader(), 0, min_block_size_bytes);
|
||||
connect(**lit, squashing->getInputs().front());
|
||||
|
||||
auto joining = std::make_shared<JoiningTransform>(
|
||||
left_header, output_header, join, max_block_size, false, default_totals, finish_counter);
|
||||
|
||||
connect(**lit, joining->getInputs().front());
|
||||
connect(squashing->getOutputPort(), joining->getInputs().front());
|
||||
connect(**rit, joining->getInputs().back());
|
||||
if (delayed_root)
|
||||
{
|
||||
@ -532,6 +540,7 @@ std::unique_ptr<QueryPipelineBuilder> QueryPipelineBuilder::joinPipelinesRightLe
|
||||
if (collected_processors)
|
||||
collected_processors->emplace_back(joining);
|
||||
|
||||
left->pipe.processors->emplace_back(std::move(squashing));
|
||||
left->pipe.processors->emplace_back(std::move(joining));
|
||||
}
|
||||
|
||||
|
||||
@ -126,6 +126,7 @@ public:
|
||||
JoinPtr join,
|
||||
const Block & output_header,
|
||||
size_t max_block_size,
|
||||
size_t min_block_size_bytes,
|
||||
size_t max_streams,
|
||||
bool keep_left_read_in_order,
|
||||
Processors * collected_processors = nullptr);
|
||||
|
||||
@ -667,7 +667,7 @@ def test_long_disconnection_stops_backup():
|
||||
# A backup is expected to fail, but it isn't expected to fail too soon.
|
||||
print(f"Backup failed after {time_to_fail} seconds disconnection")
|
||||
assert time_to_fail > 3
|
||||
assert time_to_fail < 35
|
||||
assert time_to_fail < 45
|
||||
|
||||
|
||||
# A backup must NOT be stopped if Zookeeper is disconnected shorter than `failure_after_host_disconnected_for_seconds`.
|
||||
|
||||
@ -6,12 +6,14 @@
|
||||
in specified format like JSON.
|
||||
For example, as below:
|
||||
{"date_time":"1650918987.180175","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
{"date_time_utc":"2024-11-06T09:06:09Z","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
To enable JSON logging support, just uncomment <formatting> tag below.
|
||||
-->
|
||||
<formatting>
|
||||
<type>json</type>
|
||||
<names>
|
||||
<date_time>DATE_TIME</date_time>
|
||||
<date_time_utc>DATE_TIME_UTC</date_time_utc>
|
||||
<thread_name>THREAD_NAME</thread_name>
|
||||
<thread_id>THREAD_ID</thread_id>
|
||||
<level>LEVEL</level>
|
||||
|
||||
@ -5,12 +5,14 @@
|
||||
in specified format like JSON.
|
||||
For example, as below:
|
||||
{"date_time":"1650918987.180175","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
{"date_time_utc":"2024-11-06T09:06:09Z","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
To enable JSON logging support, just uncomment <formatting> tag below.
|
||||
-->
|
||||
<formatting>
|
||||
<type>json</type>
|
||||
<names>
|
||||
<date_time>DATE_TIME</date_time>
|
||||
<date_time_utc>DATE_TIME_UTC</date_time_utc>
|
||||
<thread_name>THREAD_NAME</thread_name>
|
||||
<thread_id>THREAD_ID</thread_id>
|
||||
<level>LEVEL</level>
|
||||
|
||||
@ -6,12 +6,14 @@
|
||||
in specified format like JSON.
|
||||
For example, as below:
|
||||
{"date_time":"1650918987.180175","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
{"date_time_utc":"2024-11-06T09:06:09Z","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
To enable JSON logging support, just uncomment <formatting> tag below.
|
||||
-->
|
||||
<formatting>
|
||||
<type>json</type>
|
||||
<!--<names>
|
||||
<date_time>DATE_TIME</date_time>
|
||||
<date_time_utc>DATE_TIME_UTC</date_time_utc>
|
||||
<thread_name>THREAD_NAME</thread_name>
|
||||
<thread_id>THREAD_ID</thread_id>
|
||||
<level>LEVEL</level>
|
||||
|
||||
@ -6,12 +6,14 @@
|
||||
in specified format like JSON.
|
||||
For example, as below:
|
||||
{"date_time":"1650918987.180175","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
{"date_time_utc":"2024-11-06T09:06:09Z","thread_name":"#1","thread_id":"254545","level":"Trace","query_id":"","logger_name":"BaseDaemon","message":"Received signal 2","source_file":"../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()","source_line":"192"}
|
||||
To enable JSON logging support, just uncomment <formatting> tag below.
|
||||
-->
|
||||
<formatting>
|
||||
<type>json</type>
|
||||
<names>
|
||||
<date_time>DATE_TIME</date_time>
|
||||
<date_time_utc>DATE_TIME_UTC</date_time_utc>
|
||||
<thread_name>THREAD_NAME</thread_name>
|
||||
<thread_id>THREAD_ID</thread_id>
|
||||
<level>LEVEL</level>
|
||||
|
||||
@ -1,4 +1,5 @@
|
||||
import json
|
||||
from datetime import datetime
|
||||
from xml.etree import ElementTree as ET
|
||||
|
||||
import pytest
|
||||
@ -58,12 +59,25 @@ def validate_log_level(config, logs):
|
||||
return True
|
||||
|
||||
|
||||
def is_valid_utc_datetime(datetime_str):
|
||||
try:
|
||||
datetime.strptime(datetime_str, "%Y-%m-%dT%H:%M:%S.%fZ")
|
||||
return True
|
||||
except ValueError:
|
||||
try:
|
||||
datetime.strptime(datetime_str, "%Y-%m-%dT%H:%M:%SZ")
|
||||
return True
|
||||
except ValueError:
|
||||
return False
|
||||
|
||||
|
||||
def validate_log_config_relation(config, logs, config_type):
|
||||
root = ET.fromstring(config)
|
||||
keys_in_config = set()
|
||||
|
||||
if config_type == "config_no_keys":
|
||||
keys_in_config.add("date_time")
|
||||
keys_in_config.add("date_time_utc")
|
||||
keys_in_config.add("thread_name")
|
||||
keys_in_config.add("thread_id")
|
||||
keys_in_config.add("level")
|
||||
@ -80,14 +94,17 @@ def validate_log_config_relation(config, logs, config_type):
|
||||
length = min(10, len(logs))
|
||||
for i in range(0, length):
|
||||
json_log = json.loads(logs[i])
|
||||
keys_in_log = set()
|
||||
for log_key in json_log.keys():
|
||||
keys_in_log.add(log_key)
|
||||
if log_key not in keys_in_config:
|
||||
keys_in_log = set(json_log.keys())
|
||||
|
||||
if not keys_in_config.issubset(keys_in_log):
|
||||
return False
|
||||
for config_key in keys_in_config:
|
||||
if config_key not in keys_in_log:
|
||||
|
||||
# Validate the UTC datetime format in "date_time_utc" if it exists
|
||||
if "date_time_utc" in json_log and not is_valid_utc_datetime(
|
||||
json_log["date_time_utc"]
|
||||
):
|
||||
return False
|
||||
|
||||
except ValueError as e:
|
||||
return False
|
||||
return True
|
||||
@ -101,7 +118,7 @@ def validate_logs(logs):
|
||||
return result
|
||||
|
||||
|
||||
def valiade_everything(config, node, config_type):
|
||||
def validate_everything(config, node, config_type):
|
||||
node.query("SELECT 1")
|
||||
logs = node.grep_in_log("").split("\n")
|
||||
return (
|
||||
@ -122,8 +139,11 @@ def test_structured_logging_json_format(start_cluster):
|
||||
["cat", "/etc/clickhouse-server/config.d/config_no_keys_json.xml"]
|
||||
)
|
||||
|
||||
assert valiade_everything(config_all_keys, node_all_keys, "config_all_keys") == True
|
||||
assert (
|
||||
valiade_everything(config_some_keys, node_some_keys, "config_some_keys") == True
|
||||
validate_everything(config_all_keys, node_all_keys, "config_all_keys") == True
|
||||
)
|
||||
assert valiade_everything(config_no_keys, node_no_keys, "config_no_keys") == True
|
||||
assert (
|
||||
validate_everything(config_some_keys, node_some_keys, "config_some_keys")
|
||||
== True
|
||||
)
|
||||
assert validate_everything(config_no_keys, node_no_keys, "config_no_keys") == True
|
||||
|
||||
@ -5,7 +5,8 @@
|
||||
<fill_query>INSERT INTO test SELECT number % 10000, number % 10000, number % 10000 FROM numbers(10000000)</fill_query>
|
||||
<fill_query>INSERT INTO test1 SELECT number % 1000 , number % 1000, number % 1000 FROM numbers(100000)</fill_query>
|
||||
|
||||
<query tag='INNER'>SELECT MAX(test1.a) FROM test INNER JOIN test1 on test.b = test1.b</query>
|
||||
<query tag='INNER'>SELECT MAX(test1.a) FROM test INNER JOIN test1 on test.b = test1.b settings join_algorithm='hash'</query>
|
||||
<query tag='INNER'>SELECT MAX(test1.a) FROM test INNER JOIN test1 on test.b = test1.b settings join_algorithm='parallel_hash'</query>
|
||||
<query tag='LEFT'>SELECT MAX(test1.a) FROM test LEFT JOIN test1 on test.b = test1.b</query>
|
||||
<query tag='RIGHT'>SELECT MAX(test1.a) FROM test RIGHT JOIN test1 on test.b = test1.b</query>
|
||||
<query tag='FULL'>SELECT MAX(test1.a) FROM test FULL JOIN test1 on test.b = test1.b</query>
|
||||
|
||||
@ -9,6 +9,7 @@
|
||||
<name>settings</name>
|
||||
<values>
|
||||
<value>join_algorithm='hash'</value>
|
||||
<value>join_algorithm='parallel_hash'</value>
|
||||
<value>join_algorithm='grace_hash'</value>
|
||||
</values>
|
||||
</substitution>
|
||||
|
||||
@ -1,3 +1,4 @@
|
||||
<test>
|
||||
<query tag='INNER'>SELECT count(c) FROM numbers_mt(100000000) AS a INNER JOIN (SELECT number, toString(number) AS c FROM numbers(2000000)) AS b ON (a.number % 10000000) = b.number</query>
|
||||
<query tag='INNER'>SELECT count(c) FROM numbers_mt(100000000) AS a INNER JOIN (SELECT number, toString(number) AS c FROM numbers(2000000)) AS b ON (a.number % 10000000) = b.number settings join_algorithm='hash'</query>
|
||||
<query tag='INNER'>SELECT count(c) FROM numbers_mt(100000000) AS a INNER JOIN (SELECT number, toString(number) AS c FROM numbers(2000000)) AS b ON (a.number % 10000000) = b.number settings join_algorithm='parallel_hash'</query>
|
||||
</test>
|
||||
|
||||
@ -13,7 +13,8 @@
|
||||
<query short='1' tag='ANY LEFT IN'>SELECT COUNT() FROM ints l ANY LEFT JOIN ints r USING i64 WHERE i32 IN(42, 10042, 20042, 30042, 40042)</query>
|
||||
|
||||
<query tag='INNER'>SELECT COUNT() FROM ints l INNER JOIN ints r USING i64 WHERE i32 = 20042</query>
|
||||
<query tag='INNER KEY'>SELECT COUNT() FROM ints l INNER JOIN ints r USING i64,i32,i16,i8 WHERE i32 = 20042 settings query_plan_filter_push_down = 0</query>
|
||||
<query tag='INNER KEY'>SELECT COUNT() FROM ints l INNER JOIN ints r USING i64,i32,i16,i8 WHERE i32 = 20042 settings query_plan_filter_push_down = 0 settings join_algorithm='hash'</query>
|
||||
<query tag='INNER KEY'>SELECT COUNT() FROM ints l INNER JOIN ints r USING i64,i32,i16,i8 WHERE i32 = 20042 settings query_plan_filter_push_down = 0 settings join_algorithm='parallel_hash'</query>
|
||||
<query tag='INNER ON'>SELECT COUNT() FROM ints l INNER JOIN ints r ON l.i64 = r.i64 WHERE i32 = 20042</query>
|
||||
<query tag='INNER IN'>SELECT COUNT() FROM ints l INNER JOIN ints r USING i64 WHERE i32 IN(42, 10042, 20042, 30042, 40042)</query>
|
||||
|
||||
|
||||
File diff suppressed because one or more lines are too long
@ -478,6 +478,8 @@ for query_index in queries_to_run:
|
||||
|
||||
client_seconds = time.perf_counter() - start_seconds
|
||||
print(f"client-time\t{query_index}\t{client_seconds}\t{server_seconds}")
|
||||
median = [statistics.median(t) for t in all_server_times]
|
||||
print(f"median\t{query_index}\t{median[0]}")
|
||||
|
||||
# Run additional profiling queries to collect profile data, but only if test times appeared to be different.
|
||||
# We have to do it after normal runs because otherwise it will affect test statistics too much
|
||||
@ -491,7 +493,6 @@ for query_index in queries_to_run:
|
||||
pvalue = stats.ttest_ind(
|
||||
all_server_times[0], all_server_times[1], equal_var=False
|
||||
).pvalue
|
||||
median = [statistics.median(t) for t in all_server_times]
|
||||
# Keep this consistent with the value used in report. Should eventually move
|
||||
# to (median[1] - median[0]) / min(median), which is compatible with "times"
|
||||
# difference we use in report (max(median) / min(median)).
|
||||
|
||||
@ -9,7 +9,8 @@
|
||||
<max_threads>1</max_threads>
|
||||
</settings>
|
||||
|
||||
<query>SELECT 1 FROM hits_10m_words AS l ANY LEFT JOIN hits_10m_words AS r USING (word) FORMAT Null</query>
|
||||
<query>SELECT 1 FROM hits_10m_words AS l ANY LEFT JOIN hits_10m_words AS r USING (word) FORMAT Null settings join_algorithm='hash'</query>
|
||||
<query>SELECT 1 FROM hits_10m_words AS l ANY LEFT JOIN hits_10m_words AS r USING (word) FORMAT Null settings join_algorithm='parallel_hash'</query>
|
||||
<query>SELECT 1 FROM strings AS l ANY LEFT JOIN strings AS r USING (short) FORMAT Null</query>
|
||||
<query>SELECT 1 FROM strings AS l ANY LEFT JOIN strings AS r USING (long) FORMAT Null</query>
|
||||
|
||||
|
||||
@ -137,9 +137,9 @@ check_cli_and_http
|
||||
|
||||
function cmp_http_compression() {
|
||||
$CLICKHOUSE_CLIENT -q "$(query "$1")" > "${CLICKHOUSE_TMP}"/res0
|
||||
ch_url 'compress=1' "$1" | "${CLICKHOUSE_BINARY}"-compressor --decompress > "${CLICKHOUSE_TMP}"/res1
|
||||
ch_url "compress=1&buffer_size=$2&wait_end_of_query=0" "$1" | "${CLICKHOUSE_BINARY}"-compressor --decompress > "${CLICKHOUSE_TMP}"/res2
|
||||
ch_url "compress=1&buffer_size=$2&wait_end_of_query=1" "$1" | "${CLICKHOUSE_BINARY}"-compressor --decompress > "${CLICKHOUSE_TMP}"/res3
|
||||
ch_url 'compress=1' "$1" | "${CLICKHOUSE_COMPRESSOR}" --decompress > "${CLICKHOUSE_TMP}"/res1
|
||||
ch_url "compress=1&buffer_size=$2&wait_end_of_query=0" "$1" | "${CLICKHOUSE_COMPRESSOR}" --decompress > "${CLICKHOUSE_TMP}"/res2
|
||||
ch_url "compress=1&buffer_size=$2&wait_end_of_query=1" "$1" | "${CLICKHOUSE_COMPRESSOR}" --decompress > "${CLICKHOUSE_TMP}"/res3
|
||||
cmp "${CLICKHOUSE_TMP}"/res0 "${CLICKHOUSE_TMP}"/res1
|
||||
cmp "${CLICKHOUSE_TMP}"/res1 "${CLICKHOUSE_TMP}"/res2
|
||||
cmp "${CLICKHOUSE_TMP}"/res1 "${CLICKHOUSE_TMP}"/res3
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
SET min_joined_block_size_bytes = 0;
|
||||
SET max_block_size = 6;
|
||||
SELECT blockSize() bs FROM (SELECT 1 s) js1 ALL RIGHT JOIN (SELECT arrayJoin([2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3]) s) js2 USING (s) GROUP BY bs ORDER BY bs;
|
||||
|
||||
@ -35,7 +35,7 @@ CREATE DICTIONARY {CLICKHOUSE_DATABASE:Identifier}.dict_ipv4_trie
|
||||
cca2 String
|
||||
)
|
||||
PRIMARY KEY prefix
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port 9000 user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
LAYOUT(IP_TRIE())
|
||||
LIFETIME(MIN 10 MAX 100)
|
||||
SETTINGS(dictionary_use_async_executor=1, max_threads=8)
|
||||
@ -139,7 +139,7 @@ CREATE DICTIONARY {CLICKHOUSE_DATABASE:Identifier}.dict_ipv4_trie
|
||||
val UInt32
|
||||
)
|
||||
PRIMARY KEY prefix
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port 9000 user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
LAYOUT(IP_TRIE())
|
||||
LIFETIME(MIN 10 MAX 100);
|
||||
|
||||
@ -209,7 +209,7 @@ INSERT INTO {CLICKHOUSE_DATABASE:Identifier}.table_ipv4_trie VALUES ('127.255.25
|
||||
|
||||
CREATE DICTIONARY {CLICKHOUSE_DATABASE:Identifier}.dict_ipv4_trie ( prefix String, val UInt32 )
|
||||
PRIMARY KEY prefix
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port 9000 user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db currentDatabase() table 'table_ipv4_trie'))
|
||||
LAYOUT(IP_TRIE(ACCESS_TO_KEY_FROM_ATTRIBUTES 1))
|
||||
LIFETIME(MIN 10 MAX 100);
|
||||
|
||||
@ -287,7 +287,7 @@ CREATE DICTIONARY {CLICKHOUSE_DATABASE:Identifier}.dict_ip_trie
|
||||
val String
|
||||
)
|
||||
PRIMARY KEY prefix
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port 9000 user 'default' db currentDatabase() table 'table_ip_trie'))
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db currentDatabase() table 'table_ip_trie'))
|
||||
LAYOUT(IP_TRIE(ACCESS_TO_KEY_FROM_ATTRIBUTES 1))
|
||||
LIFETIME(MIN 10 MAX 100);
|
||||
|
||||
@ -493,7 +493,7 @@ CREATE DICTIONARY {CLICKHOUSE_DATABASE:Identifier}.dict_ip_trie
|
||||
val String
|
||||
)
|
||||
PRIMARY KEY prefix
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port 9000 user 'default' db currentDatabase() table 'table_ip_trie'))
|
||||
SOURCE(CLICKHOUSE(host 'localhost' port tcpPort() user 'default' db currentDatabase() table 'table_ip_trie'))
|
||||
LAYOUT(IP_TRIE())
|
||||
LIFETIME(MIN 10 MAX 100);
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: no-replicated-database, no-shared-merge-tree
|
||||
# Tags: zookeeper, no-replicated-database, no-shared-merge-tree
|
||||
# Tag no-replicated-database: CREATE AS SELECT is disabled
|
||||
# Tag no-shared-merge-tree -- implemented separate test, just bad substituion here
|
||||
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
#!/usr/bin/env bash
|
||||
# Tags: long, no-replicated-database, no-ordinary-database
|
||||
# Tags: long, no-replicated-database, no-ordinary-database, zookeeper
|
||||
|
||||
# shellcheck disable=SC2015
|
||||
|
||||
|
||||
@ -7,6 +7,7 @@ CREATE TABLE t2 (id Int) ENGINE = MergeTree ORDER BY id;
|
||||
INSERT INTO t1 VALUES (1), (2);
|
||||
INSERT INTO t2 SELECT number + 5 AS x FROM (SELECT * FROM system.numbers LIMIT 1111);
|
||||
|
||||
SET min_joined_block_size_bytes = 0;
|
||||
SET max_block_size = 100;
|
||||
|
||||
SELECT count() == 2222 FROM t1 JOIN t2 ON 1 = 1;
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- Tags: no-ordinary-database, use-rocksdb
|
||||
-- Tags: zookeeper, no-ordinary-database, use-rocksdb
|
||||
|
||||
DROP TABLE IF EXISTS 02526_keeper_map;
|
||||
DROP TABLE IF EXISTS 02526_rocksdb;
|
||||
|
||||
@ -274,18 +274,21 @@ select parseDateTime('08 13, 2022, 07:58:32', '%c %e, %G, %k:%i:%s', 'UTC');
|
||||
set session_timezone = 'UTC'; -- don't randomize the session timezone
|
||||
select parseDateTime('2021-01-04 23:12:34') = toDateTime('2021-01-04 23:12:34');
|
||||
1
|
||||
-- The following is test of parseDateTime64
|
||||
select parseDateTime(''); -- { serverError NOT_ENOUGH_SPACE }
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
-- Tests for parseDateTime64, these are not systematic
|
||||
|
||||
select parseDateTime64(''); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2177-10-09 10:30:10.123'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112') = toDateTime64('2021-01-04 23:12:34.118112', 6);
|
||||
1
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2021-01-04 23:12:34.118112', 6);
|
||||
1
|
||||
select parseDateTime64('2021-01-04 23:12:34.118'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.11811235', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
--leap years and non-leap years
|
||||
-- leap vs non-leap years
|
||||
select parseDateTime64('2024-02-29 11:23:34.123433', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2024-02-29 11:23:34.123433', 6);
|
||||
1
|
||||
select parseDateTime64('2023-02-29 11:22:33.123433', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
@ -293,7 +296,7 @@ select parseDateTime64('2024-02-28 23:22:33.123433', '%Y-%m-%d %H:%i:%s.%f') = t
|
||||
1
|
||||
select parseDateTime64('2023-02-28 23:22:33.123433', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2023-02-28 23:22:33.123433', 6);
|
||||
1
|
||||
-- Test of parseDateTime64OrNull
|
||||
-- parseDateTime64OrNull
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.118') IS NULL;
|
||||
1
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f') IS NULL;
|
||||
@ -302,7 +305,7 @@ select parseDateTime64OrNull('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s')
|
||||
1
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.11811235', '%Y-%m-%d %H:%i:%s.%f') IS NULL;
|
||||
1
|
||||
-- Test of parseDateTime64OrZero
|
||||
-- parseDateTime64OrZero
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.118') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
1
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
|
||||
@ -190,31 +190,35 @@ select parseDateTime('08 13, 2022, 07:58:32', '%c %e, %G, %k:%i:%s', 'UTC');
|
||||
-- The format string argument is optional
|
||||
set session_timezone = 'UTC'; -- don't randomize the session timezone
|
||||
select parseDateTime('2021-01-04 23:12:34') = toDateTime('2021-01-04 23:12:34');
|
||||
select parseDateTime(''); -- { serverError NOT_ENOUGH_SPACE }
|
||||
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
-- Tests for parseDateTime64, these are not systematic
|
||||
|
||||
-- The following is test of parseDateTime64
|
||||
select parseDateTime64(''); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2177-10-09 10:30:10.123'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112') = toDateTime64('2021-01-04 23:12:34.118112', 6);
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2021-01-04 23:12:34.118112', 6);
|
||||
select parseDateTime64('2021-01-04 23:12:34.118'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError NOT_ENOUGH_SPACE }
|
||||
select parseDateTime64('2021-01-04 23:12:34.11811235', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
--leap years and non-leap years
|
||||
-- leap vs non-leap years
|
||||
select parseDateTime64('2024-02-29 11:23:34.123433', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2024-02-29 11:23:34.123433', 6);
|
||||
select parseDateTime64('2023-02-29 11:22:33.123433', '%Y-%m-%d %H:%i:%s.%f'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64('2024-02-28 23:22:33.123433', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2024-02-28 23:22:33.123433', 6);
|
||||
select parseDateTime64('2023-02-28 23:22:33.123433', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('2023-02-28 23:22:33.123433', 6);
|
||||
-- Test of parseDateTime64OrNull
|
||||
-- parseDateTime64OrNull
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.118') IS NULL;
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f') IS NULL;
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s') IS NULL;
|
||||
select parseDateTime64OrNull('2021-01-04 23:12:34.11811235', '%Y-%m-%d %H:%i:%s.%f') IS NULL;
|
||||
-- Test of parseDateTime64OrZero
|
||||
-- parseDateTime64OrZero
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.118') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.118', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.118112', '%Y-%m-%d %H:%i:%s') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
select parseDateTime64OrZero('2021-01-04 23:12:34.11811235', '%Y-%m-%d %H:%i:%s.%f') = toDateTime64('1970-01-01 00:00:00', 6);
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
|
||||
|
||||
-- { echoOff }
|
||||
|
||||
@ -360,8 +360,8 @@ select parseDateTimeInJodaSyntax('12 AM', 'h a', 'UTC', 'a fourth argument'); --
|
||||
set session_timezone = 'UTC'; -- don't randomize the session timezone
|
||||
select parseDateTimeInJodaSyntax('2021-01-04 23:12:34') = toDateTime('2021-01-04 23:12:34');
|
||||
1
|
||||
-- Test timezone and timezone offset for parseDateTimeInJodaSyntax
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-0812'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
-- timezone and timezone offset
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-0812', 'yyyy-MM-dd HH:mm:ssZ') = toDateTime64('2024-10-09 18:42:10', 6);
|
||||
1
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-08123', 'yyyy-MM-dd HH:mm:ssZZZ'); -- {serverError CANNOT_PARSE_DATETIME}
|
||||
@ -372,7 +372,9 @@ select parseDateTimeInJodaSyntax('2024-10-09 10:30:10EST', 'yyyy-MM-dd HH:mm:ssz
|
||||
-- incorrect timezone offset and timezone
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10ABCD', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError BAD_ARGUMENTS }
|
||||
-- The following is test of parseDateTime64InJodaSyntax[OrNull/OrZero]
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
-- Tests for parseDateTime64InJodaSyntax, these are not systematic
|
||||
|
||||
select parseDateTime64InJodaSyntax('', '') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
1
|
||||
select parseDateTime64InJodaSyntax('2177-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
@ -398,7 +400,7 @@ select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331'); -- { serverError
|
||||
select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331', 'yyyy-MM-dd HH:mm:ss.SSSS') = toDateTime64('2021-01-04 23:12:34.0331', 4);
|
||||
1
|
||||
select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331', 'yyyy-MM-dd HH:mm:ss.SS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
-- Test timezone and timezone offset for paseDatetTime64InJodaSyntax
|
||||
-- Timezone and timezone offset
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10-0812'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-0812', 'yyyy-MM-dd HH:mm:ss.SSSSSSZ') = toDateTime64('2024-10-09 18:42:10.123456', 6);
|
||||
1
|
||||
@ -422,7 +424,7 @@ select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-0845', 'yyyy-MM-d
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-8000', 'yyyy-MM-dd HH:mm:ss.SSSSSSZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456ABCD', 'yyyy-MM-dd HH:mm:ss.SSSSSSz'); -- { serverError BAD_ARGUMENTS }
|
||||
select parseDateTime64InJodaSyntax('2023-02-29 11:22:33Not/Timezone', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError BAD_ARGUMENTS }
|
||||
--leap years and non-leap years
|
||||
-- leap vs non-leap years
|
||||
select parseDateTime64InJodaSyntax('2024-02-29 11:23:34America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('2024-02-29 19:23:34', 0);
|
||||
1
|
||||
select parseDateTime64InJodaSyntax('2023-02-29 11:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
@ -432,7 +434,7 @@ select parseDateTime64InJodaSyntax('2023-02-28 23:22:33America/Los_Angeles', 'yy
|
||||
1
|
||||
select parseDateTime64InJodaSyntax('2024-03-01 00:22:33-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2023-03-01 00:22:33-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
-- Test for parseDateTime64InJodaSyntaxOrNull
|
||||
-- parseDateTime64InJodaSyntaxOrNull
|
||||
select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') = toDateTime64('2024-10-09 10:30:10.123', 3);
|
||||
1
|
||||
select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123456', 'yyyy-MM-dd HH:mm:ss.SSSSSS') = toDateTime64('2024-10-09 10:30:10.123456', 6);
|
||||
@ -450,7 +452,7 @@ select parseDateTime64InJodaSyntaxOrNull('', '') = toDateTime64('1970-01-01 00:0
|
||||
1
|
||||
select parseDateTime64InJodaSyntaxOrNull('2177-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') is NULL;
|
||||
1
|
||||
-- Test for parseDateTime64InJodaSyntaxOrZero
|
||||
-- parseDateTime64InJodaSyntaxOrZero
|
||||
select parseDateTime64InJodaSyntaxOrZero('2024-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') = toDateTime64('2024-10-09 10:30:10.123', 3);
|
||||
1
|
||||
select parseDateTime64InJodaSyntaxOrZero('2024-10-09 10:30:10.123456', 'yyyy-MM-dd HH:mm:ss.SSSSSS') = toDateTime64('2024-10-09 10:30:10.123456', 6);
|
||||
|
||||
@ -245,8 +245,9 @@ select parseDateTimeInJodaSyntax('12 AM', 'h a', 'UTC', 'a fourth argument'); --
|
||||
-- The format string argument is optional
|
||||
set session_timezone = 'UTC'; -- don't randomize the session timezone
|
||||
select parseDateTimeInJodaSyntax('2021-01-04 23:12:34') = toDateTime('2021-01-04 23:12:34');
|
||||
-- Test timezone and timezone offset for parseDateTimeInJodaSyntax
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-0812'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
|
||||
-- timezone and timezone offset
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-0812', 'yyyy-MM-dd HH:mm:ssZ') = toDateTime64('2024-10-09 18:42:10', 6);
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-08123', 'yyyy-MM-dd HH:mm:ssZZZ'); -- {serverError CANNOT_PARSE_DATETIME}
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10EST', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('2024-10-09 15:30:10', 6);
|
||||
@ -255,7 +256,9 @@ select parseDateTimeInJodaSyntax('2024-10-09 10:30:10EST', 'yyyy-MM-dd HH:mm:ssz
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTimeInJodaSyntax('2024-10-09 10:30:10ABCD', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError BAD_ARGUMENTS }
|
||||
|
||||
-- The following is test of parseDateTime64InJodaSyntax[OrNull/OrZero]
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
-- Tests for parseDateTime64InJodaSyntax, these are not systematic
|
||||
|
||||
select parseDateTime64InJodaSyntax('', '') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
select parseDateTime64InJodaSyntax('2177-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('+0000', 'Z') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
@ -270,7 +273,8 @@ select parseDateTime64InJodaSyntax('2021/01/04 23:12:34.331', 'yyyy/MM/dd HH:mm:
|
||||
select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331', 'yyyy-MM-dd HH:mm:ss.SSSS') = toDateTime64('2021-01-04 23:12:34.0331', 4);
|
||||
select parseDateTime64InJodaSyntax('2021-01-04 23:12:34.331', 'yyyy-MM-dd HH:mm:ss.SS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
-- Test timezone and timezone offset for paseDatetTime64InJodaSyntax
|
||||
|
||||
-- Timezone and timezone offset
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10-0812'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-0812', 'yyyy-MM-dd HH:mm:ss.SSSSSSZ') = toDateTime64('2024-10-09 18:42:10.123456', 6);
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-08123', 'yyyy-MM-dd HH:mm:ss.SSSSSSZZZ'); -- {serverError CANNOT_PARSE_DATETIME}
|
||||
@ -282,18 +286,21 @@ select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456Australia/Adelaide
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123', 'yyyy-dd-MM HH:mm:ss.SSS') = toDateTime64('2024-09-10 10:30:10.123', 3);
|
||||
select parseDateTime64InJodaSyntax('999999 10-09-202410:30:10', 'SSSSSSSSS dd-MM-yyyyHH:mm:ss'); -- {serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-0845', 'yyyy-MM-dd HH:mm:ss.SSSSSSZ') = toDateTime64('2024-10-09 19:15:10.123456', 6);
|
||||
|
||||
-- incorrect timezone offset and timezone
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456-8000', 'yyyy-MM-dd HH:mm:ss.SSSSSSZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-10-09 10:30:10.123456ABCD', 'yyyy-MM-dd HH:mm:ss.SSSSSSz'); -- { serverError BAD_ARGUMENTS }
|
||||
select parseDateTime64InJodaSyntax('2023-02-29 11:22:33Not/Timezone', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError BAD_ARGUMENTS }
|
||||
--leap years and non-leap years
|
||||
|
||||
-- leap vs non-leap years
|
||||
select parseDateTime64InJodaSyntax('2024-02-29 11:23:34America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('2024-02-29 19:23:34', 0);
|
||||
select parseDateTime64InJodaSyntax('2023-02-29 11:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2024-02-28 23:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('2024-02-29 07:22:33', 0);
|
||||
select parseDateTime64InJodaSyntax('2023-02-28 23:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('2023-03-01 07:22:33', 0);
|
||||
select parseDateTime64InJodaSyntax('2024-03-01 00:22:33-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
select parseDateTime64InJodaSyntax('2023-03-01 00:22:33-8000', 'yyyy-MM-dd HH:mm:ssZ'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
-- Test for parseDateTime64InJodaSyntaxOrNull
|
||||
|
||||
-- parseDateTime64InJodaSyntaxOrNull
|
||||
select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') = toDateTime64('2024-10-09 10:30:10.123', 3);
|
||||
select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123456', 'yyyy-MM-dd HH:mm:ss.SSSSSS') = toDateTime64('2024-10-09 10:30:10.123456', 6);
|
||||
select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123456789', 'yyyy-MM-dd HH:mm:ss.SSSSSSSSS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
@ -303,7 +310,8 @@ select parseDateTime64InJodaSyntaxOrNull('2024-10-09 10:30:10.123', 'yyyy-dd-MM
|
||||
select parseDateTime64InJodaSyntaxOrNull('2023-02-29 11:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') is NULL;
|
||||
select parseDateTime64InJodaSyntaxOrNull('', '') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
select parseDateTime64InJodaSyntaxOrNull('2177-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') is NULL;
|
||||
-- Test for parseDateTime64InJodaSyntaxOrZero
|
||||
|
||||
-- parseDateTime64InJodaSyntaxOrZero
|
||||
select parseDateTime64InJodaSyntaxOrZero('2024-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') = toDateTime64('2024-10-09 10:30:10.123', 3);
|
||||
select parseDateTime64InJodaSyntaxOrZero('2024-10-09 10:30:10.123456', 'yyyy-MM-dd HH:mm:ss.SSSSSS') = toDateTime64('2024-10-09 10:30:10.123456', 6);
|
||||
select parseDateTime64InJodaSyntaxOrZero('2024-10-09 10:30:10.123456789', 'yyyy-MM-dd HH:mm:ss.SSSSSSSSS'); -- { serverError CANNOT_PARSE_DATETIME }
|
||||
@ -314,5 +322,6 @@ select parseDateTime64InJodaSyntaxOrZero('wrong value', 'yyyy-dd-MM HH:mm:ss.SSS
|
||||
select parseDateTime64InJodaSyntaxOrZero('2023-02-29 11:22:33America/Los_Angeles', 'yyyy-MM-dd HH:mm:ssz') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
select parseDateTime64InJodaSyntaxOrZero('', '') = toDateTime64('1970-01-01 00:00:00', 0);
|
||||
select parseDateTime64InJodaSyntaxOrZero('2177-10-09 10:30:10.123', 'yyyy-MM-dd HH:mm:ss.SSS') = toDateTime64('1970-01-01 00:00:00.000', 3);
|
||||
-- -------------------------------------------------------------------------------------------------------------------------
|
||||
|
||||
-- { echoOff }
|
||||
|
||||
@ -8,6 +8,8 @@ CREATE table t2 (a UInt64) ENGINE = Memory;
|
||||
|
||||
INSERT INTO t2 SELECT number % 2 FROM numbers(10);
|
||||
|
||||
SET min_joined_block_size_bytes = 0;
|
||||
|
||||
-- block size is always multiple of 5 because we have 5 rows for each key in right table
|
||||
-- we do not split rows corresponding to the same key
|
||||
|
||||
@ -27,11 +29,9 @@ SETTINGS max_joined_block_size_rows = 10;
|
||||
|
||||
SELECT '--';
|
||||
|
||||
-- parallel_hash doen't support max_joined_block_size_rows
|
||||
|
||||
SET join_algorithm = 'parallel_hash';
|
||||
|
||||
SELECT max(bs) > 10, b FROM (
|
||||
SELECT max(bs) <= 10, b FROM (
|
||||
SELECT blockSize() as bs, * FROM t1 JOIN t2 ON t1.a = t2.a
|
||||
) GROUP BY b
|
||||
ORDER BY b
|
||||
|
||||
@ -5,5 +5,5 @@ CURDIR=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)
|
||||
. "$CURDIR"/../shell_config.sh
|
||||
|
||||
${CLICKHOUSE_CLIENT} --query="CREATE TABLE ${CLICKHOUSE_DATABASE}.x ENGINE = MergeTree() ORDER BY number AS SELECT * FROM numbers(2)"
|
||||
${CLICKHOUSE_LOCAL} --query="SELECT count() FROM remote('127.0.0.{2,3}', '${CLICKHOUSE_DATABASE}.x') SETTINGS enable_analyzer = 1" 2>&1 \
|
||||
${CLICKHOUSE_LOCAL} --query="SELECT count() FROM remote('127.0.0.{2,3}:${CLICKHOUSE_PORT_TCP}', '${CLICKHOUSE_DATABASE}.x') SETTINGS enable_analyzer = 1" 2>&1 \
|
||||
| grep -av "ASan doesn't fully support makecontext/swapcontext functions"
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
-- Tags: no-replicated-database
|
||||
-- Tags: no-replicated-database, shard
|
||||
-- Closes: https://github.com/ClickHouse/ClickHouse/issues/6571
|
||||
|
||||
SET enable_analyzer=1;
|
||||
|
||||
@ -0,0 +1,14 @@
|
||||
DROP TABLE IF EXISTS t1;
|
||||
DROP TABLE IF EXISTS t2;
|
||||
|
||||
CREATE TABLE t1 (key String, attr String, a UInt64, b UInt64, c Nullable(UInt64)) ENGINE = MergeTree ORDER BY key;
|
||||
CREATE TABLE t2 (key String, attr String, a UInt64, b UInt64, c Nullable(UInt64)) ENGINE = MergeTree ORDER BY key;
|
||||
|
||||
INSERT INTO t1 VALUES ('key1', 'a', 1, 1, 2), ('key1', 'b', 2, 3, 2), ('key1', 'c', 3, 2, 1), ('key1', 'd', 4, 7, 2), ('key1', 'e', 5, 5, 5), ('key2', 'a2', 1, 1, 1), ('key4', 'f', 2, 3, 4);
|
||||
INSERT INTO t2 VALUES ('key1', 'A', 1, 2, 1), ('key1', 'B', 2, 1, 2), ('key1', 'C', 3, 4, 5), ('key1', 'D', 4, 1, 6), ('key3', 'a3', 1, 1, 1), ('key4', 'F', 1,1,1);
|
||||
|
||||
SET allow_experimental_join_condition = true;
|
||||
SET allow_experimental_analyzer = true;
|
||||
|
||||
SELECT t1.* FROM t1 FULL OUTER JOIN t2 ON t1.key = t2.key AND (t1.a = 2 OR indexHint(t2.a = 2)) FORMAT Null
|
||||
;
|
||||
@ -0,0 +1,30 @@
|
||||
anyRespectNulls
|
||||
0
|
||||
\N
|
||||
\N
|
||||
0
|
||||
6
|
||||
firstValueRespectNulls
|
||||
0
|
||||
\N
|
||||
\N
|
||||
0
|
||||
6
|
||||
anyValueRespectNulls
|
||||
0
|
||||
\N
|
||||
\N
|
||||
0
|
||||
6
|
||||
lastValueRespectNulls
|
||||
4
|
||||
\N
|
||||
\N
|
||||
0
|
||||
9
|
||||
anyLastRespectNulls
|
||||
4
|
||||
\N
|
||||
\N
|
||||
0
|
||||
9
|
||||
@ -0,0 +1,40 @@
|
||||
-- Tests aliases of any and anyLast functions
|
||||
|
||||
-- aliases of any
|
||||
|
||||
SELECT 'anyRespectNulls';
|
||||
SELECT anyRespectNulls(number) FROM numbers(5);
|
||||
SELECT arrayReduce('anyRespectNulls', [NULL, 10]::Array(Nullable(UInt8)));
|
||||
SELECT anyRespectNullsMerge(t) FROM (SELECT anyRespectNullsState(NULL::Nullable(UInt8)) as t FROM numbers(5));
|
||||
SELECT finalizeAggregation(CAST(unhex('01'), 'AggregateFunction(anyRespectNulls, UInt64)'));
|
||||
SELECT anyRespectNullsIf (number, NOT isNull(number) AND (assumeNotNull(number) > 5)) FROM numbers(10);
|
||||
|
||||
SELECT 'firstValueRespectNulls';
|
||||
SELECT firstValueRespectNulls(number) FROM numbers(5);
|
||||
SELECT arrayReduce('firstValueRespectNulls', [NULL, 10]::Array(Nullable(UInt8)));
|
||||
SELECT firstValueRespectNullsMerge(t) FROM (SELECT firstValueRespectNullsState(NULL::Nullable(UInt8)) as t FROM numbers(5));
|
||||
SELECT finalizeAggregation(CAST(unhex('01'), 'AggregateFunction(firstValueRespectNulls, UInt64)'));
|
||||
SELECT firstValueRespectNullsIf (number, NOT isNull(number) AND (assumeNotNull(number) > 5)) FROM numbers(10);
|
||||
|
||||
SELECT 'anyValueRespectNulls';
|
||||
SELECT anyValueRespectNulls(number) FROM numbers(5);
|
||||
SELECT arrayReduce('anyValueRespectNulls', [NULL, 10]::Array(Nullable(UInt8)));
|
||||
SELECT anyValueRespectNullsMerge(t) FROM (SELECT anyValueRespectNullsState(NULL::Nullable(UInt8)) as t FROM numbers(5));
|
||||
SELECT finalizeAggregation(CAST(unhex('01'), 'AggregateFunction(anyValueRespectNulls, UInt64)'));
|
||||
SELECT anyValueRespectNullsIf (number, NOT isNull(number) AND (assumeNotNull(number) > 5)) FROM numbers(10);
|
||||
|
||||
-- aliases of anyLast
|
||||
|
||||
SELECT 'lastValueRespectNulls';
|
||||
SELECT lastValueRespectNulls(number) FROM numbers(5);
|
||||
SELECT arrayReduce('lastValueRespectNulls', [10, NULL]::Array(Nullable(UInt8)));
|
||||
SELECT lastValueRespectNullsMerge(t) FROM (SELECT lastValueRespectNullsState(NULL::Nullable(UInt8)) as t FROM numbers(5));
|
||||
SELECT finalizeAggregation(CAST(unhex('01'), 'AggregateFunction(lastValueRespectNulls, UInt64)'));
|
||||
SELECT lastValueRespectNullsIf (number, NOT isNull(number) AND (assumeNotNull(number) > 5)) FROM numbers(10);
|
||||
|
||||
SELECT 'anyLastRespectNulls';
|
||||
SELECT anyLastRespectNulls(number) FROM numbers(5);
|
||||
SELECT arrayReduce('anyLastRespectNulls', [10, NULL]::Array(Nullable(UInt8)));
|
||||
SELECT anyLastRespectNullsMerge(t) FROM (SELECT anyLastRespectNullsState(NULL::Nullable(UInt8)) as t FROM numbers(5));
|
||||
SELECT finalizeAggregation(CAST(unhex('01'), 'AggregateFunction(anyLastRespectNulls, UInt64)'));
|
||||
SELECT anyLastRespectNullsIf (number, NOT isNull(number) AND (assumeNotNull(number) > 5)) FROM numbers(10);
|
||||
Loading…
Reference in New Issue
Block a user