mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-17 21:24:28 +00:00
202 lines
6.7 KiB
Markdown
202 lines
6.7 KiB
Markdown
---
|
||
toc_priority: 16
|
||
toc_title: Star Schema Benchmark
|
||
---
|
||
|
||
# Star Schema Benchmark {#star-schema-benchmark}
|
||
|
||
编译 dbgen:
|
||
|
||
``` bash
|
||
$ git clone git@github.com:vadimtk/ssb-dbgen.git
|
||
$ cd ssb-dbgen
|
||
$ make
|
||
```
|
||
|
||
开始生成数据：
|
||
|
||
!!! warning "注意"
|
||
使用`-s 100`dbgen将生成6亿行数据(67GB), 如果使用`-s 1000`它会生成60亿行数据(这需要很多时间))
|
||
|
||
``` bash
|
||
$ ./dbgen -s 1000 -T c
|
||
$ ./dbgen -s 1000 -T l
|
||
$ ./dbgen -s 1000 -T p
|
||
$ ./dbgen -s 1000 -T s
|
||
$ ./dbgen -s 1000 -T d
|
||
```
|
||
|
||
在ClickHouse中创建数据表：
|
||
|
||
``` sql
|
||
CREATE TABLE customer
|
||
(
|
||
C_CUSTKEY UInt32,
|
||
C_NAME String,
|
||
C_ADDRESS String,
|
||
C_CITY LowCardinality(String),
|
||
C_NATION LowCardinality(String),
|
||
C_REGION LowCardinality(String),
|
||
C_PHONE String,
|
||
C_MKTSEGMENT LowCardinality(String)
|
||
)
|
||
ENGINE = MergeTree ORDER BY (C_CUSTKEY);
|
||
|
||
CREATE TABLE lineorder
|
||
(
|
||
LO_ORDERKEY UInt32,
|
||
LO_LINENUMBER UInt8,
|
||
LO_CUSTKEY UInt32,
|
||
LO_PARTKEY UInt32,
|
||
LO_SUPPKEY UInt32,
|
||
LO_ORDERDATE Date,
|
||
LO_ORDERPRIORITY LowCardinality(String),
|
||
LO_SHIPPRIORITY UInt8,
|
||
LO_QUANTITY UInt8,
|
||
LO_EXTENDEDPRICE UInt32,
|
||
LO_ORDTOTALPRICE UInt32,
|
||
LO_DISCOUNT UInt8,
|
||
LO_REVENUE UInt32,
|
||
LO_SUPPLYCOST UInt32,
|
||
LO_TAX UInt8,
|
||
LO_COMMITDATE Date,
|
||
LO_SHIPMODE LowCardinality(String)
|
||
)
|
||
ENGINE = MergeTree PARTITION BY toYear(LO_ORDERDATE) ORDER BY (LO_ORDERDATE, LO_ORDERKEY);
|
||
|
||
CREATE TABLE part
|
||
(
|
||
P_PARTKEY UInt32,
|
||
P_NAME String,
|
||
P_MFGR LowCardinality(String),
|
||
P_CATEGORY LowCardinality(String),
|
||
P_BRAND LowCardinality(String),
|
||
P_COLOR LowCardinality(String),
|
||
P_TYPE LowCardinality(String),
|
||
P_SIZE UInt8,
|
||
P_CONTAINER LowCardinality(String)
|
||
)
|
||
ENGINE = MergeTree ORDER BY P_PARTKEY;
|
||
|
||
CREATE TABLE supplier
|
||
(
|
||
S_SUPPKEY UInt32,
|
||
S_NAME String,
|
||
S_ADDRESS String,
|
||
S_CITY LowCardinality(String),
|
||
S_NATION LowCardinality(String),
|
||
S_REGION LowCardinality(String),
|
||
S_PHONE String
|
||
)
|
||
ENGINE = MergeTree ORDER BY S_SUPPKEY;
|
||
```
|
||
|
||
写入数据：
|
||
|
||
``` bash
|
||
$ clickhouse-client --query "INSERT INTO customer FORMAT CSV" < customer.tbl
|
||
$ clickhouse-client --query "INSERT INTO part FORMAT CSV" < part.tbl
|
||
$ clickhouse-client --query "INSERT INTO supplier FORMAT CSV" < supplier.tbl
|
||
$ clickhouse-client --query "INSERT INTO lineorder FORMAT CSV" < lineorder.tbl
|
||
```
|
||
|
||
将`star schema`转换为`flat schema`：
|
||
|
||
``` sql
|
||
SET max_memory_usage = 20000000000, allow_experimental_multiple_joins_emulation = 1;
|
||
|
||
CREATE TABLE lineorder_flat
|
||
ENGINE = MergeTree
|
||
PARTITION BY toYear(LO_ORDERDATE)
|
||
ORDER BY (LO_ORDERDATE, LO_ORDERKEY) AS
|
||
SELECT l.*, c.*, s.*, p.*
|
||
FROM lineorder l
|
||
ANY INNER JOIN customer c ON (c.C_CUSTKEY = l.LO_CUSTKEY)
|
||
ANY INNER JOIN supplier s ON (s.S_SUPPKEY = l.LO_SUPPKEY)
|
||
ANY INNER JOIN part p ON (p.P_PARTKEY = l.LO_PARTKEY);
|
||
|
||
ALTER TABLE lineorder_flat DROP COLUMN C_CUSTKEY, DROP COLUMN S_SUPPKEY, DROP COLUMN P_PARTKEY;
|
||
```
|
||
|
||
运行查询:
|
||
|
||
Q1.1
|
||
|
||
``` sql
|
||
SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toYear(LO_ORDERDATE) = 1993 AND LO_DISCOUNT BETWEEN 1 AND 3 AND LO_QUANTITY < 25;
|
||
```
|
||
|
||
Q1.2
|
||
|
||
``` sql
|
||
SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toYYYYMM(LO_ORDERDATE) = 199401 AND LO_DISCOUNT BETWEEN 4 AND 6 AND LO_QUANTITY BETWEEN 26 AND 35;
|
||
```
|
||
|
||
Q1.3
|
||
|
||
``` sql
|
||
SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue FROM lineorder_flat WHERE toISOWeek(LO_ORDERDATE) = 6 AND toYear(LO_ORDERDATE) = 1994 AND LO_DISCOUNT BETWEEN 5 AND 7 AND LO_QUANTITY BETWEEN 26 AND 35;
|
||
```
|
||
|
||
Q2.1
|
||
|
||
``` sql
|
||
SELECT sum(LO_REVENUE), toYear(LO_ORDERDATE) AS year, P_BRAND FROM lineorder_flat WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA' GROUP BY year, P_BRAND ORDER BY year, P_BRAND;
|
||
```
|
||
|
||
Q2.2
|
||
|
||
``` sql
|
||
SELECT sum(LO_REVENUE), toYear(LO_ORDERDATE) AS year, P_BRAND FROM lineorder_flat WHERE P_BRAND BETWEEN 'MFGR#2221' AND 'MFGR#2228' AND S_REGION = 'ASIA' GROUP BY year, P_BRAND ORDER BY year, P_BRAND;
|
||
```
|
||
|
||
Q2.3
|
||
|
||
``` sql
|
||
SELECT sum(LO_REVENUE), toYear(LO_ORDERDATE) AS year, P_BRAND FROM lineorder_flat WHERE P_BRAND = 'MFGR#2239' AND S_REGION = 'EUROPE' GROUP BY year, P_BRAND ORDER BY year, P_BRAND;
|
||
```
|
||
|
||
Q3.1
|
||
|
||
``` sql
|
||
SELECT C_NATION, S_NATION, toYear(LO_ORDERDATE) AS year, sum(LO_REVENUE) AS revenue FROM lineorder_flat WHERE C_REGION = 'ASIA' AND S_REGION = 'ASIA' AND year >= 1992 AND year <= 1997 GROUP BY C_NATION, S_NATION, year ORDER BY year asc, revenue desc;
|
||
```
|
||
|
||
Q3.2
|
||
|
||
``` sql
|
||
SELECT C_CITY, S_CITY, toYear(LO_ORDERDATE) AS year, sum(LO_REVENUE) AS revenue FROM lineorder_flat WHERE C_NATION = 'UNITED STATES' AND S_NATION = 'UNITED STATES' AND year >= 1992 AND year <= 1997 GROUP BY C_CITY, S_CITY, year ORDER BY year asc, revenue desc;
|
||
```
|
||
|
||
Q3.3
|
||
|
||
``` sql
|
||
SELECT C_CITY, S_CITY, toYear(LO_ORDERDATE) AS year, sum(LO_REVENUE) AS revenue FROM lineorder_flat WHERE (C_CITY = 'UNITED KI1' OR C_CITY = 'UNITED KI5') AND (S_CITY = 'UNITED KI1' OR S_CITY = 'UNITED KI5') AND year >= 1992 AND year <= 1997 GROUP BY C_CITY, S_CITY, year ORDER BY year asc, revenue desc;
|
||
```
|
||
|
||
Q3.4
|
||
|
||
``` sql
|
||
SELECT C_CITY, S_CITY, toYear(LO_ORDERDATE) AS year, sum(LO_REVENUE) AS revenue FROM lineorder_flat WHERE (C_CITY = 'UNITED KI1' OR C_CITY = 'UNITED KI5') AND (S_CITY = 'UNITED KI1' OR S_CITY = 'UNITED KI5') AND toYYYYMM(LO_ORDERDATE) = '199712' GROUP BY C_CITY, S_CITY, year ORDER BY year asc, revenue desc;
|
||
```
|
||
|
||
Q4.1
|
||
|
||
``` sql
|
||
SELECT toYear(LO_ORDERDATE) AS year, C_NATION, sum(LO_REVENUE - LO_SUPPLYCOST) AS profit FROM lineorder_flat WHERE C_REGION = 'AMERICA' AND S_REGION = 'AMERICA' AND (P_MFGR = 'MFGR#1' OR P_MFGR = 'MFGR#2') GROUP BY year, C_NATION ORDER BY year, C_NATION;
|
||
```
|
||
|
||
Q4.2
|
||
|
||
``` sql
|
||
SELECT toYear(LO_ORDERDATE) AS year, S_NATION, P_CATEGORY, sum(LO_REVENUE - LO_SUPPLYCOST) AS profit FROM lineorder_flat WHERE C_REGION = 'AMERICA' AND S_REGION = 'AMERICA' AND (year = 1997 OR year = 1998) AND (P_MFGR = 'MFGR#1' OR P_MFGR = 'MFGR#2') GROUP BY year, S_NATION, P_CATEGORY ORDER BY year, S_NATION, P_CATEGORY;
|
||
```
|
||
|
||
Q4.3
|
||
|
||
``` sql
|
||
SELECT toYear(LO_ORDERDATE) AS year, S_CITY, P_BRAND, sum(LO_REVENUE - LO_SUPPLYCOST) AS profit FROM lineorder_flat WHERE S_NATION = 'UNITED STATES' AND (year = 1997 OR year = 1998) AND P_CATEGORY = 'MFGR#14' GROUP BY year, S_CITY, P_BRAND ORDER BY year, S_CITY, P_BRAND;
|
||
```
|
||
|
||
[原始文章](https://clickhouse.tech/docs/en/getting_started/example_datasets/star_schema/) <!--hide-->
|