ClickHouse压测

    科技2024-10-25  12

    文章目录

    一、压测工具1.1 下载编译dbgen1.2 生产数据1.3 创建测试表1.4 导入测试数据1.5 将“星型模式”转换为非规范化的“平面模式” 二、压测查询   本文选用CK官方提供的一个测试方案:SSBM (Star Schema Benchmark)。

    一、压测工具

    1.1 下载编译dbgen

    yum -y install gcc gcc-c++ make cmake git git clone https://github.com/vadimtk/ssb-dbgen.git make

    1.2 生产数据

    ./dbgen -s 1 -T c ./dbgen -s 1 -T l ./dbgen -s 1 -T p ./dbgen -s 1 -T s ./dbgen -s 1 -T d [root@zijie ssb-dbgen]# wc -l *tbl 30000 customer.tbl 2556 date.tbl 6001215 lineorder.tbl 200000 part.tbl 2000 supplier.tbl 6235771 total c--customer.tbl p--part.tbl s--supplier.tbl d--date.tbl l--lineorder.tbl 上面的表数据可以用如下的命令一次性生成:(for all SSBM tables) dbgen -s 1 -T a

    1.3 创建测试表

    CREATE DATABASE bench; use bench; 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;

    1.4 导入测试数据

    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 zijie :) select count(*) from customer; SELECT count(*) FROM customer ┌─count()─┐ │ 30000 │ └─────────┘ 1 rows in set. Elapsed: 0.005 sec. zijie :) select count(*) from lineorder; SELECT count(*) FROM lineorder ┌─count()─┐ │ 6001215 │ └─────────┘ 1 rows in set. Elapsed: 0.002 sec. zijie :) select count(*) from part; SELECT count(*) FROM part ┌─count()─┐ │ 200000 │ └─────────┘ 1 rows in set. Elapsed: 0.002 sec. zijie :) select count(*) from supplier; SELECT count(*) FROM supplier ┌─count()─┐ │ 2000 │ └─────────┘ 1 rows in set. Elapsed: 0.002 sec.

    1.5 将“星型模式”转换为非规范化的“平面模式”

    SET max_memory_usage = 20000000000; CREATE TABLE lineorder_flat ENGINE = MergeTree PARTITION BY toYear(LO_ORDERDATE) ORDER BY (LO_ORDERDATE, LO_ORDERKEY) AS SELECT l.LO_ORDERKEY AS LO_ORDERKEY, l.LO_LINENUMBER AS LO_LINENUMBER, l.LO_CUSTKEY AS LO_CUSTKEY, l.LO_PARTKEY AS LO_PARTKEY, l.LO_SUPPKEY AS LO_SUPPKEY, l.LO_ORDERDATE AS LO_ORDERDATE, l.LO_ORDERPRIORITY AS LO_ORDERPRIORITY, l.LO_SHIPPRIORITY AS LO_SHIPPRIORITY, l.LO_QUANTITY AS LO_QUANTITY, l.LO_EXTENDEDPRICE AS LO_EXTENDEDPRICE, l.LO_ORDTOTALPRICE AS LO_ORDTOTALPRICE, l.LO_DISCOUNT AS LO_DISCOUNT, l.LO_REVENUE AS LO_REVENUE, l.LO_SUPPLYCOST AS LO_SUPPLYCOST, l.LO_TAX AS LO_TAX, l.LO_COMMITDATE AS LO_COMMITDATE, l.LO_SHIPMODE AS LO_SHIPMODE, c.C_NAME AS C_NAME, c.C_ADDRESS AS C_ADDRESS, c.C_CITY AS C_CITY, c.C_NATION AS C_NATION, c.C_REGION AS C_REGION, c.C_PHONE AS C_PHONE, c.C_MKTSEGMENT AS C_MKTSEGMENT, s.S_NAME AS S_NAME, s.S_ADDRESS AS S_ADDRESS, s.S_CITY AS S_CITY, s.S_NATION AS S_NATION, s.S_REGION AS S_REGION, s.S_PHONE AS S_PHONE, p.P_NAME AS P_NAME, p.P_MFGR AS P_MFGR, p.P_CATEGORY AS P_CATEGORY, p.P_BRAND AS P_BRAND, p.P_COLOR AS P_COLOR, p.P_TYPE AS P_TYPE, p.P_SIZE AS P_SIZE, p.P_CONTAINER AS P_CONTAINER FROM lineorder AS l INNER JOIN customer AS c ON c.C_CUSTKEY = l.LO_CUSTKEY INNER JOIN supplier AS s ON s.S_SUPPKEY = l.LO_SUPPKEY INNER JOIN part AS p ON p.P_PARTKEY = l.LO_PARTKEY;

    二、压测查询

    Q1.1

    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

    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

    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

    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

    SELECT sum(LO_REVENUE), toYear(LO_ORDERDATE) AS year, P_BRAND FROM lineorder_flat WHERE P_BRAND >= 'MFGR#2221' AND P_BRAND <= 'MFGR#2228' AND S_REGION = 'ASIA' GROUP BY year, P_BRAND ORDER BY year, P_BRAND;

    Q2.3

    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

    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

    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

    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

    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

    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 ASC, C_NATION ASC;

    Q4.2

    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 ASC, S_NATION ASC, P_CATEGORY ASC;

    Q4.3

    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 ASC, S_CITY ASC, P_BRAND ASC;
    Processed: 0.059, SQL: 8