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Merge pull request #28055 from yingfc/master
Fix `star schema` in zh docs
This commit is contained in:
Nikolay Degterinsky
GitHub
commit
bfdfe4dca4
@ -7,7 +7,7 @@ toc_title: Star Schema Benchmark
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编译 dbgen:
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``` bash
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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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@ -16,9 +16,9 @@ $ make
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开始生成数据：
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!!! warning "注意"
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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))
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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))
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``` bash
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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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@ -26,9 +26,9 @@ $ ./dbgen -s 1000 -T s
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$ ./dbgen -s 1000 -T d
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```
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在ClickHouse中创建数据表：
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在 ClickHouse 中创建数据表：
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``` sql
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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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@ -93,7 +93,7 @@ ENGINE = MergeTree ORDER BY S_SUPPKEY;
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写入数据：
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``` bash
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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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@ -102,100 +102,267 @@ $ clickhouse-client --query "INSERT INTO lineorder FORMAT CSV" < lineorder.tbl
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将`star schema`转换为`flat schema`：
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``` sql
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SET max_memory_usage = 20000000000, allow_experimental_multiple_joins_emulation = 1;
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```sql
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SET max_memory_usage = 20000000000;
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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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SELECT
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l.LO_ORDERKEY AS LO_ORDERKEY,
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l.LO_LINENUMBER AS LO_LINENUMBER,
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l.LO_CUSTKEY AS LO_CUSTKEY,
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l.LO_PARTKEY AS LO_PARTKEY,
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l.LO_SUPPKEY AS LO_SUPPKEY,
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l.LO_ORDERDATE AS LO_ORDERDATE,
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l.LO_ORDERPRIORITY AS LO_ORDERPRIORITY,
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l.LO_SHIPPRIORITY AS LO_SHIPPRIORITY,
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l.LO_QUANTITY AS LO_QUANTITY,
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l.LO_EXTENDEDPRICE AS LO_EXTENDEDPRICE,
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l.LO_ORDTOTALPRICE AS LO_ORDTOTALPRICE,
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l.LO_DISCOUNT AS LO_DISCOUNT,
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l.LO_REVENUE AS LO_REVENUE,
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l.LO_SUPPLYCOST AS LO_SUPPLYCOST,
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l.LO_TAX AS LO_TAX,
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l.LO_COMMITDATE AS LO_COMMITDATE,
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l.LO_SHIPMODE AS LO_SHIPMODE,
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c.C_NAME AS C_NAME,
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c.C_ADDRESS AS C_ADDRESS,
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c.C_CITY AS C_CITY,
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c.C_NATION AS C_NATION,
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c.C_REGION AS C_REGION,
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c.C_PHONE AS C_PHONE,
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c.C_MKTSEGMENT AS C_MKTSEGMENT,
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s.S_NAME AS S_NAME,
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s.S_ADDRESS AS S_ADDRESS,
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s.S_CITY AS S_CITY,
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s.S_NATION AS S_NATION,
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s.S_REGION AS S_REGION,
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s.S_PHONE AS S_PHONE,
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p.P_NAME AS P_NAME,
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p.P_MFGR AS P_MFGR,
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p.P_CATEGORY AS P_CATEGORY,
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p.P_BRAND AS P_BRAND,
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p.P_COLOR AS P_COLOR,
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p.P_TYPE AS P_TYPE,
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p.P_SIZE AS P_SIZE,
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p.P_CONTAINER AS P_CONTAINER
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FROM lineorder AS l
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INNER JOIN customer AS c ON c.C_CUSTKEY = l.LO_CUSTKEY
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INNER JOIN supplier AS s ON s.S_SUPPKEY = l.LO_SUPPKEY
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INNER JOIN part AS p ON p.P_PARTKEY = l.LO_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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```sql
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SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
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FROM lineorder_flat
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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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```sql
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SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
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FROM lineorder_flat
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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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```sql
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SELECT sum(LO_EXTENDEDPRICE * LO_DISCOUNT) AS revenue
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FROM lineorder_flat
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WHERE toISOWeek(LO_ORDERDATE) = 6 AND toYear(LO_ORDERDATE) = 1994
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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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```sql
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SELECT
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sum(LO_REVENUE),
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toYear(LO_ORDERDATE) AS year,
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P_BRAND
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FROM lineorder_flat
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WHERE P_CATEGORY = 'MFGR#12' AND S_REGION = 'AMERICA'
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GROUP BY
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year,
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P_BRAND
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ORDER BY
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year,
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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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```sql
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SELECT
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sum(LO_REVENUE),
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toYear(LO_ORDERDATE) AS year,
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P_BRAND
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FROM lineorder_flat
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WHERE P_BRAND >= 'MFGR#2221' AND P_BRAND <= 'MFGR#2228' AND S_REGION = 'ASIA'
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GROUP BY
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year,
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P_BRAND
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ORDER BY
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year,
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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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```sql
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SELECT
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sum(LO_REVENUE),
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toYear(LO_ORDERDATE) AS year,
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P_BRAND
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FROM lineorder_flat
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WHERE P_BRAND = 'MFGR#2239' AND S_REGION = 'EUROPE'
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GROUP BY
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year,
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P_BRAND
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ORDER BY
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year,
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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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```sql
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SELECT
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C_NATION,
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S_NATION,
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toYear(LO_ORDERDATE) AS year,
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sum(LO_REVENUE) AS revenue
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FROM lineorder_flat
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WHERE C_REGION = 'ASIA' AND S_REGION = 'ASIA' AND year >= 1992 AND year <= 1997
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GROUP BY
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C_NATION,
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S_NATION,
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year
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ORDER BY
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year ASC,
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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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```sql
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SELECT
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C_CITY,
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S_CITY,
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toYear(LO_ORDERDATE) AS year,
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sum(LO_REVENUE) AS revenue
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FROM lineorder_flat
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WHERE C_NATION = 'UNITED STATES' AND S_NATION = 'UNITED STATES' AND year >= 1992 AND year <= 1997
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GROUP BY
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C_CITY,
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S_CITY,
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year
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ORDER BY
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year ASC,
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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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```sql
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SELECT
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C_CITY,
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S_CITY,
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toYear(LO_ORDERDATE) AS year,
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sum(LO_REVENUE) AS revenue
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FROM lineorder_flat
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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
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GROUP BY
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C_CITY,
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S_CITY,
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year
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ORDER BY
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year ASC,
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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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```sql
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SELECT
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C_CITY,
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S_CITY,
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toYear(LO_ORDERDATE) AS year,
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sum(LO_REVENUE) AS revenue
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FROM lineorder_flat
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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
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GROUP BY
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C_CITY,
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S_CITY,
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year
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ORDER BY
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year ASC,
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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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```sql
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SELECT
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toYear(LO_ORDERDATE) AS year,
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C_NATION,
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sum(LO_REVENUE - LO_SUPPLYCOST) AS profit
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FROM lineorder_flat
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WHERE C_REGION = 'AMERICA' AND S_REGION = 'AMERICA' AND (P_MFGR = 'MFGR#1' OR P_MFGR = 'MFGR#2')
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GROUP BY
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year,
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C_NATION
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ORDER BY
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year ASC,
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C_NATION ASC;
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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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```sql
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SELECT
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toYear(LO_ORDERDATE) AS year,
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S_NATION,
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P_CATEGORY,
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sum(LO_REVENUE - LO_SUPPLYCOST) AS profit
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FROM lineorder_flat
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WHERE C_REGION = 'AMERICA' AND S_REGION = 'AMERICA' AND (year = 1997 OR year = 1998) AND (P_MFGR = 'MFGR#1' OR P_MFGR = 'MFGR#2')
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GROUP BY
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year,
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S_NATION,
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P_CATEGORY
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ORDER BY
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year ASC,
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S_NATION ASC,
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P_CATEGORY ASC;
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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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```sql
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SELECT
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toYear(LO_ORDERDATE) AS year,
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S_CITY,
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P_BRAND,
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sum(LO_REVENUE - LO_SUPPLYCOST) AS profit
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FROM lineorder_flat
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WHERE S_NATION = 'UNITED STATES' AND (year = 1997 OR year = 1998) AND P_CATEGORY = 'MFGR#14'
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GROUP BY
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year,
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S_CITY,
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P_BRAND
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ORDER BY
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year ASC,
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S_CITY ASC,
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P_BRAND ASC;
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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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