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194 lines
6.5 KiB
Markdown
194 lines
6.5 KiB
Markdown
# 星型基准测试 {#star-schema-benchmark}
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编译 dbgen:
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``` bash
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$ git clone git@github.com:vadimtk/ssb-dbgen.git
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$ cd ssb-dbgen
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$ make
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```
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开始生成数据：
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``` bash
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$ ./dbgen -s 1000 -T c
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$ ./dbgen -s 1000 -T l
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$ ./dbgen -s 1000 -T p
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$ ./dbgen -s 1000 -T s
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$ ./dbgen -s 1000 -T d
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```
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在ClickHouse中创建表结构：
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``` sql
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CREATE TABLE customer
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(
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C_CUSTKEY UInt32,
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C_NAME String,
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C_ADDRESS String,
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C_CITY LowCardinality(String),
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C_NATION LowCardinality(String),
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C_REGION LowCardinality(String),
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C_PHONE String,
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C_MKTSEGMENT LowCardinality(String)
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)
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ENGINE = MergeTree ORDER BY (C_CUSTKEY);
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CREATE TABLE lineorder
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(
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LO_ORDERKEY UInt32,
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LO_LINENUMBER UInt8,
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LO_CUSTKEY UInt32,
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LO_PARTKEY UInt32,
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LO_SUPPKEY UInt32,
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LO_ORDERDATE Date,
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LO_ORDERPRIORITY LowCardinality(String),
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LO_SHIPPRIORITY UInt8,
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LO_QUANTITY UInt8,
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LO_EXTENDEDPRICE UInt32,
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LO_ORDTOTALPRICE UInt32,
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LO_DISCOUNT UInt8,
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LO_REVENUE UInt32,
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LO_SUPPLYCOST UInt32,
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LO_TAX UInt8,
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LO_COMMITDATE Date,
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LO_SHIPMODE LowCardinality(String)
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)
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ENGINE = MergeTree PARTITION BY toYear(LO_ORDERDATE) ORDER BY (LO_ORDERDATE, LO_ORDERKEY);
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CREATE TABLE part
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(
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P_PARTKEY UInt32,
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P_NAME String,
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P_MFGR LowCardinality(String),
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P_CATEGORY LowCardinality(String),
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P_BRAND LowCardinality(String),
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P_COLOR LowCardinality(String),
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P_TYPE LowCardinality(String),
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P_SIZE UInt8,
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P_CONTAINER LowCardinality(String)
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)
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ENGINE = MergeTree ORDER BY P_PARTKEY;
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CREATE TABLE supplier
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(
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S_SUPPKEY UInt32,
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S_NAME String,
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S_ADDRESS String,
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S_CITY LowCardinality(String),
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S_NATION LowCardinality(String),
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S_REGION LowCardinality(String),
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S_PHONE String
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)
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ENGINE = MergeTree ORDER BY S_SUPPKEY;
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```
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写入数据：
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``` bash
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$ clickhouse-client --query "INSERT INTO customer FORMAT CSV" < customer.tbl
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$ clickhouse-client --query "INSERT INTO part FORMAT CSV" < part.tbl
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$ clickhouse-client --query "INSERT INTO supplier FORMAT CSV" < supplier.tbl
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$ clickhouse-client --query "INSERT INTO lineorder FORMAT CSV" < lineorder.tbl
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```
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将«星型模型»转换为非规范化的«平面模型»：
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``` sql
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SET max_memory_usage = 20000000000, allow_experimental_multiple_joins_emulation = 1;
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CREATE TABLE lineorder_flat
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ENGINE = MergeTree
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PARTITION BY toYear(LO_ORDERDATE)
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ORDER BY (LO_ORDERDATE, LO_ORDERKEY) AS
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SELECT l.*, c.*, s.*, p.*
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FROM lineorder l
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ANY INNER JOIN customer c ON (c.C_CUSTKEY = l.LO_CUSTKEY)
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ANY INNER JOIN supplier s ON (s.S_SUPPKEY = l.LO_SUPPKEY)
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ANY INNER JOIN part p ON (p.P_PARTKEY = l.LO_PARTKEY);
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ALTER TABLE lineorder_flat DROP COLUMN C_CUSTKEY, DROP COLUMN S_SUPPKEY, DROP COLUMN P_PARTKEY;
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```
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运行查询:
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Q1.1
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``` sql
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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;
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```
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Q1.2
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``` sql
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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;
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```
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Q1.3
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``` sql
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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;
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```
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Q2.1
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``` sql
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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;
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```
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Q2.2
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``` sql
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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;
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```
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Q2.3
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``` sql
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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;
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```
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Q3.1
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``` sql
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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;
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```
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Q3.2
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``` sql
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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;
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```
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Q3.3
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``` sql
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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;
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```
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Q3.4
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``` sql
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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;
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```
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Q4.1
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``` sql
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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;
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```
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Q4.2
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``` sql
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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;
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```
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Q4.3
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``` sql
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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;
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```
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[原始文章](https://clickhouse.tech/docs/en/getting_started/example_datasets/star_schema/) <!--hide-->
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