DorisDB vs ClickHouse 查询测试
数据分析挖掘与算法
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·
2021-06-16 11:50
测试方法
为了方便用户快速的了解DorisDB的性能指标，这里我们提供了一个标准的Star schema benchmark的测试方法和工具仅供参考。
Star schema benchmark（以下简称SSB）是学术界和工业界广泛使用的一个星型模型测试集（来源论文），通过这个测试集合也可以容易的和其他OLAP产品进行性能对比。
测试数据
| 表名 | 行数 | 解释 |
|---|---|---|
| lineorder | 6亿 | SSB商品订单表 |
| customer | 300万 | SSB客户表 |
| part | 140万 | SSB 零部件表 |
| supplier | 20万 | SSB 供应商表 |
| dates | 2556 | 日期表 |
| lineorder_flat | 6亿 | SSB打平后的宽表 |
测试数据环境
主机资源：
| 主机 | 内存 | CPU |
|---|---|---|
| CentOS | 128G | 16core |
DorisDB使用资源:
FE 单台，BE 5台 部署
| 内存 | CPU | 数量 |
|---|---|---|
| 80G | 16core | 6 |
ClickHouse使用资源:
| 内存 | CPU | 数量 |
|---|---|---|
| 80G | 16core | 1 |
说明：由于资源原因，DorisDB、ClickHouse集群和上同时部署了CDH集群和其他组件，所以该测试并不能100%代表DorisDB、ClickHouse的性能。
测试结果
单表测试结果如下
多表测试结果如下
测试过程
DorisDB
下载ssb-poc工具包并编译
wget http://dorisdb-public.oss-cn-zhangjiakou.aliyuncs.com/ssb-poc-0.9.zip
unzip ssb-poc-0.9.zip
cd ssb-poc
make && make install
#所有相关工具安装到output目录
生成数据
cd output
# 运行生成数据的脚本
bin/gen-ssb.sh 100 data_dir
建表
CREATE TABLE IF NOT EXISTS `lineorder` (
`lo_orderkey` int(11) NOT NULL COMMENT "",
`lo_linenumber` int(11) NOT NULL COMMENT "",
`lo_custkey` int(11) NOT NULL COMMENT "",
`lo_partkey` int(11) NOT NULL COMMENT "",
`lo_suppkey` int(11) NOT NULL COMMENT "",
`lo_orderdate` int(11) NOT NULL COMMENT "",
`lo_orderpriority` varchar(16) NOT NULL COMMENT "",
`lo_shippriority` int(11) NOT NULL COMMENT "",
`lo_quantity` int(11) NOT NULL COMMENT "",
`lo_extendedprice` int(11) NOT NULL COMMENT "",
`lo_ordtotalprice` int(11) NOT NULL COMMENT "",
`lo_discount` int(11) NOT NULL COMMENT "",
`lo_revenue` int(11) NOT NULL COMMENT "",
`lo_supplycost` int(11) NOT NULL COMMENT "",
`lo_tax` int(11) NOT NULL COMMENT "",
`lo_commitdate` int(11) NOT NULL COMMENT "",
`lo_shipmode` varchar(11) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`lo_orderkey`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`lo_orderkey`) BUCKETS 96
PROPERTIES (
"replication_num" = "1",
"colocate_with" = "group1",
"in_memory" = "false",
"storage_format" = "DEFAULT"
);
CREATE TABLE IF NOT EXISTS `customer` (
`c_custkey` int(11) NOT NULL COMMENT "",
`c_name` varchar(26) NOT NULL COMMENT "",
`c_address` varchar(41) NOT NULL COMMENT "",
`c_city` varchar(11) NOT NULL COMMENT "",
`c_nation` varchar(16) NOT NULL COMMENT "",
`c_region` varchar(13) NOT NULL COMMENT "",
`c_phone` varchar(16) NOT NULL COMMENT "",
`c_mktsegment` varchar(11) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`c_custkey`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`c_custkey`) BUCKETS 12
PROPERTIES (
"replication_num" = "1",
"colocate_with" = "groupa2",
"in_memory" = "false",
"storage_format" = "DEFAULT"
);
CREATE TABLE IF NOT EXISTS `dates` (
`d_datekey` int(11) NOT NULL COMMENT "",
`d_date` varchar(20) NOT NULL COMMENT "",
`d_dayofweek` varchar(10) NOT NULL COMMENT "",
`d_month` varchar(11) NOT NULL COMMENT "",
`d_year` int(11) NOT NULL COMMENT "",
`d_yearmonthnum` int(11) NOT NULL COMMENT "",
`d_yearmonth` varchar(9) NOT NULL COMMENT "",
`d_daynuminweek` int(11) NOT NULL COMMENT "",
`d_daynuminmonth` int(11) NOT NULL COMMENT "",
`d_daynuminyear` int(11) NOT NULL COMMENT "",
`d_monthnuminyear` int(11) NOT NULL COMMENT "",
`d_weeknuminyear` int(11) NOT NULL COMMENT "",
`d_sellingseason` varchar(14) NOT NULL COMMENT "",
`d_lastdayinweekfl` int(11) NOT NULL COMMENT "",
`d_lastdayinmonthfl` int(11) NOT NULL COMMENT "",
`d_holidayfl` int(11) NOT NULL COMMENT "",
`d_weekdayfl` int(11) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`d_datekey`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`d_datekey`) BUCKETS 1
PROPERTIES (
"replication_num" = "1",
"in_memory" = "false",
"colocate_with" = "groupa3",
"storage_format" = "DEFAULT"
);
CREATE TABLE IF NOT EXISTS `supplier` (
`s_suppkey` int(11) NOT NULL COMMENT "",
`s_name` varchar(26) NOT NULL COMMENT "",
`s_address` varchar(26) NOT NULL COMMENT "",
`s_city` varchar(11) NOT NULL COMMENT "",
`s_nation` varchar(16) NOT NULL COMMENT "",
`s_region` varchar(13) NOT NULL COMMENT "",
`s_phone` varchar(16) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`s_suppkey`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`s_suppkey`) BUCKETS 12
PROPERTIES (
"replication_num" = "1",
"colocate_with" = "groupa4",
"in_memory" = "false",
"storage_format" = "DEFAULT"
);
CREATE TABLE IF NOT EXISTS `part` (
`p_partkey` int(11) NOT NULL COMMENT "",
`p_name` varchar(23) NOT NULL COMMENT "",
`p_mfgr` varchar(7) NOT NULL COMMENT "",
`p_category` varchar(8) NOT NULL COMMENT "",
`p_brand` varchar(10) NOT NULL COMMENT "",
`p_color` varchar(12) NOT NULL COMMENT "",
`p_type` varchar(26) NOT NULL COMMENT "",
`p_size` int(11) NOT NULL COMMENT "",
`p_container` varchar(11) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`p_partkey`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`p_partkey`) BUCKETS 12
PROPERTIES (
"replication_num" = "1",
"colocate_with" = "groupa5",
"in_memory" = "false",
"storage_format" = "DEFAULT"
);
CREATE TABLE IF NOT EXISTS `lineorder_flat` (
`LO_ORDERKEY` int(11) NOT NULL COMMENT "",
`LO_ORDERDATE` date NOT NULL COMMENT "",
`LO_LINENUMBER` tinyint(4) NOT NULL COMMENT "",
`LO_CUSTKEY` int(11) NOT NULL COMMENT "",
`LO_PARTKEY` int(11) NOT NULL COMMENT "",
`LO_SUPPKEY` int(11) NOT NULL COMMENT "",
`LO_ORDERPRIORITY` varchar(100) NOT NULL COMMENT "",
`LO_SHIPPRIORITY` tinyint(4) NOT NULL COMMENT "",
`LO_QUANTITY` tinyint(4) NOT NULL COMMENT "",
`LO_EXTENDEDPRICE` int(11) NOT NULL COMMENT "",
`LO_ORDTOTALPRICE` int(11) NOT NULL COMMENT "",
`LO_DISCOUNT` tinyint(4) NOT NULL COMMENT "",
`LO_REVENUE` int(11) NOT NULL COMMENT "",
`LO_SUPPLYCOST` int(11) NOT NULL COMMENT "",
`LO_TAX` tinyint(4) NOT NULL COMMENT "",
`LO_COMMITDATE` date NOT NULL COMMENT "",
`LO_SHIPMODE` varchar(100) NOT NULL COMMENT "",
`C_NAME` varchar(100) NOT NULL COMMENT "",
`C_ADDRESS` varchar(100) NOT NULL COMMENT "",
`C_CITY` varchar(100) NOT NULL COMMENT "",
`C_NATION` varchar(100) NOT NULL COMMENT "",
`C_REGION` varchar(100) NOT NULL COMMENT "",
`C_PHONE` varchar(100) NOT NULL COMMENT "",
`C_MKTSEGMENT` varchar(100) NOT NULL COMMENT "",
`S_NAME` varchar(100) NOT NULL COMMENT "",
`S_ADDRESS` varchar(100) NOT NULL COMMENT "",
`S_CITY` varchar(100) NOT NULL COMMENT "",
`S_NATION` varchar(100) NOT NULL COMMENT "",
`S_REGION` varchar(100) NOT NULL COMMENT "",
`S_PHONE` varchar(100) NOT NULL COMMENT "",
`P_NAME` varchar(100) NOT NULL COMMENT "",
`P_MFGR` varchar(100) NOT NULL COMMENT "",
`P_CATEGORY` varchar(100) NOT NULL COMMENT "",
`P_BRAND` varchar(100) NOT NULL COMMENT "",
`P_COLOR` varchar(100) NOT NULL COMMENT "",
`P_TYPE` varchar(100) NOT NULL COMMENT "",
`P_SIZE` tinyint(4) NOT NULL COMMENT "",
`P_CONTAINER` varchar(100) NOT NULL COMMENT ""
) ENGINE=OLAP
DUPLICATE KEY(`LO_ORDERKEY`)
COMMENT "OLAP"
DISTRIBUTED BY HASH(`LO_ORDERKEY`) BUCKETS 192
PROPERTIES (
"replication_num" = "1",
"colocate_with" = "groupxx1",
"in_memory" = "false",
"storage_format" = "DEFAULT"
);
导入数据
通过stream load
#执行导入数据的脚本`
bin /stream_load.sh data_dir
生成ssb单表数据
bin/flat_insert.sh
查询
单表查询
测试ssb单表查询(SQL 参见 share/ssb_test/sql/ssb-flat/)
bin/benchmark.sh -p -d ssb-flat
查询结果：
多表查询
测试ssb多表查询 (SQL 参见 share/ssb_test/sql/ssb/)
bin/benchmark.sh -p -d ssb
查询结果
Clickhouse
下载安装 dbgen
git clone https://github.com/vadimtk/ssb-dbgen.git
cd ssb-dbgen make
生成数据
./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中创建表
CREATE TABLE test.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 test.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 test.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 test.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;
CREATE TABLE test.date(D_DATEKEY UInt32,D_DATE String,D_DAYOFWEEK String,D_MONTH String,D_YEAR UInt32,D_YEARMONTHNUM UInt32,D_YEARMONTH String,D_DAYNUMINWEEK UInt32,D_DAYNUMINMONTH UInt32,D_DAYNUMINYEAR UInt32,D_MONTHNUMINYEAR UInt32,D_WEEKNUMINYEAR UInt32,D_SELLINGSEASON String,D_LASTDAYINWEEKFL UInt32,D_LASTDAYINMONTHFL UInt32,D_HOLIDAYFL UInt32,D_WEEKDAYFL UInt32) ENGINE = MergeTree ORDER BY D_DATEKEY;
导入数据
clickhouse-client -h prd-worker05 --port=9002 --query "INSERT INTO test.customer FORMAT CSV" < customer.tbl clickhouse-client -h prd-worker05 --port=9002 --query "INSERT INTO test.part FORMAT CSV" < part.tbl clickhouse-client -h prd-worker05 --port=9002 --query "INSERT INTO test.supplier FORMAT CSV" < supplier.tbl clickhouse-client -h prd-worker05 --port=9002 --query "INSERT INTO test.lineorder FORMAT CSV" < lineorder.tbl clickhouse-client -h prd-worker05 --port=9002 --query "INSERT INTO test.dates FORMAT CSV" < date.tbl
将"星型模式"转换为非规范化的"平面模式"
set max_memory_usage_for_all_queries=80000000000;
set max_memory_usage=80000000000;
set max_bytes_before_external_group_by=40000000000;
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;
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;
查询结果
单表查询结果
多表查询结果
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