Sysbench 性能测试
目标
对ShardingSphere-JDBC,ShardingSphere-Proxy及 MySQL 进行性能对比。从业务角度考虑,在基本应用场景(单路由,主从+加密+分库分表,全路由)下,INSERT+UPDATE+DELETE 通常用作一个完整的关联操作,用于性能评估,而SELECT关注分片优化可用作性能评估的另一个操作;而主从模式下,可将INSERT+SELECT+DELETE作为一组评估性能的关联操作。 为了更好的观察效果,设计在一定数据量的基础上,使用 jmeter 20 并发线程持续压测半小时,进行增删改查性能测试,且每台机器部署一个 MySQL 实例,而对比 MySQL 场景为单机单实例部署。
测试场景
单路由
在1000数据量的基础上分库分表,根据id
分为4个库,部署在同一台机器上,根据k
分为1024个表,查询操作路由到单库单表; 作为对比,MySQL 运行在1000数据量的基础上,使用 INSERT+UPDATE+DELETE 和单路由查询语句。
主从
基本主从场景,设置一主库一从库,部署在两台不同的机器上,在10000数据量的基础上,观察读写性能; 作为对比,MySQL 运行在10000数据量的基础上,使用 INSERT+SELECT+DELETE 语句。
主从+加密+分库分表
在1000数据量的基础上,根据id
分为4个库,部署在四台不同的机器上,根据k
分为1024个表,c
使用aes加密,pad
使用md5加密,查询操作路由到单库单表; 作为对比,MySQL 运行在1000数据量的基础上,使用 INSERT+UPDATE+DELETE 和单路由查询语句。
全路由
在1000数据量的基础上,分库分表,根据id
分为4个库,部署在四台不同的机器上,根据k
分为1个表,查询操作使用全路由。 作为对比,MySQL 运行在1000数据量的基础上,使用 INSERT+UPDATE+DELETE 和全路由查询语句。
测试环境搭建
数据库表结构
此处表结构参考 sysbench 的 sbtest 表
CREATE TABLE `tbl` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`k` int(11) NOT NULL DEFAULT 0,
`c` char(120) NOT NULL DEFAULT '',
`pad` char(60) NOT NULL DEFAULT '',
PRIMARY KEY (`id`)
);
测试场景配置
ShardingSphere-JDBC 使用与 ShardingSphere-Proxy 一致的配置,MySQL 直连一个库用作性能对比,下面为四个场景的具体配置:
单路由配置
schemaName: sharding_db
dataSources:
ds_0:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_1:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_2:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_3:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
rules:
- !SHARDING
tables:
tbl:
actualDataNodes: ds_${0..3}.tbl${0..1023}
tableStrategy:
standard:
shardingColumn: k
shardingAlgorithmName: tbl_table_inline
keyGenerateStrategy:
column: id
keyGeneratorName: snowflake
defaultDatabaseStrategy:
standard:
shardingColumn: id
shardingAlgorithmName: default_db_inline
defaultTableStrategy:
none:
shardingAlgorithms:
tbl_table_inline:
type: INLINE
props:
algorithm-expression: tbl${k % 1024}
default_db_inline:
type: INLINE
props:
algorithm-expression: ds_${id % 4}
keyGenerators:
snowflake:
type: SNOWFLAKE
props:
worker-id: 123
主从配置
schemaName: sharding_db
dataSources:
primary_ds:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
replica_ds_0:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
rules:
- !READWRITE_SPLITTING
dataSources:
pr_ds:
writeDataSourceName: primary_ds
readDataSourceNames:
- replica_ds_0
主从+加密+分库分表配置
schemaName: sharding_db
dataSources:
primary_ds_0:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
replica_ds_0:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
primary_ds_1:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
replica_ds_1:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
primary_ds_2:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
replica_ds_2:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
primary_ds_3:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
replica_ds_3:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
rules:
- !SHARDING
tables:
tbl:
actualDataNodes: pr_ds_${0..3}.tbl${0..1023}
databaseStrategy:
standard:
shardingColumn: id
shardingAlgorithmName: tbl_database_inline
tableStrategy:
standard:
shardingColumn: k
shardingAlgorithmName: tbl_table_inline
keyGenerateStrategy:
column: id
keyGeneratorName: snowflake
bindingTables:
- tbl
defaultDataSourceName: primary_ds_1
defaultTableStrategy:
none:
shardingAlgorithms:
tbl_database_inline:
type: INLINE
props:
algorithm-expression: pr_ds_${id % 4}
tbl_table_inline:
type: INLINE
props:
algorithm-expression: tbl${k % 1024}
keyGenerators:
snowflake:
type: SNOWFLAKE
props:
worker-id: 123
- !READWRITE_SPLITTING
dataSources:
pr_ds_0:
writeDataSourceName: primary_ds_0
readDataSourceNames:
- replica_ds_0
loadBalancerName: round_robin
pr_ds_1:
writeDataSourceName: primary_ds_1
readDataSourceNames:
- replica_ds_1
loadBalancerName: round_robin
pr_ds_2:
writeDataSourceName: primary_ds_2
readDataSourceNames:
- replica_ds_2
loadBalancerName: round_robin
pr_ds_3:
writeDataSourceName: primary_ds_3
readDataSourceNames:
- replica_ds_3
loadBalancerName: round_robin
loadBalancers:
round_robin:
type: ROUND_ROBIN
- !ENCRYPT:
encryptors:
aes_encryptor:
type: AES
props:
aes-key-value: 123456abc
md5_encryptor:
type: MD5
tables:
sbtest:
columns:
c:
plainColumn: c_plain
cipherColumn: c_cipher
encryptorName: aes_encryptor
pad:
cipherColumn: pad_cipher
encryptorName: md5_encryptor
全路由
schemaName: sharding_db
dataSources:
ds_0:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_1:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_2:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
ds_3:
url: jdbc:mysql://***.***.***.***:****/ds?serverTimezone=UTC&useSSL=false
username: test
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 200
rules:
- !SHARDING
tables:
tbl:
actualDataNodes: ds_${0..3}.tbl1
tableStrategy:
standard:
shardingColumn: k
shardingAlgorithmName: tbl_table_inline
keyGenerateStrategy:
column: id
keyGeneratorName: snowflake
defaultDatabaseStrategy:
standard:
shardingColumn: id
shardingAlgorithmName: default_database_inline
defaultTableStrategy:
none:
shardingAlgorithms:
default_database_inline:
type: INLINE
props:
algorithm-expression: ds_${id % 4}
tbl_table_inline:
type: INLINE
props:
algorithm-expression: tbl1
keyGenerators:
snowflake:
type: SNOWFLAKE
props:
worker-id: 123
测试结果验证
压测语句
INSERT+UPDATE+DELETE语句:
INSERT INTO tbl(k, c, pad) VALUES(1, '###-###-###', '###-###');
UPDATE tbl SET c='####-####-####', pad='####-####' WHERE id=?;
DELETE FROM tbl WHERE id=?
全路由查询语句:
SELECT max(id) FROM tbl WHERE id%4=1
单路由查询语句:
SELECT id, k FROM tbl ignore index(`PRIMARY`) WHERE id=1 AND k=1
INSERT+SELECT+DELETE语句:
INSERT INTO tbl1(k, c, pad) VALUES(1, '###-###-###', '###-###');
SELECT count(id) FROM tbl1;
SELECT max(id) FROM tbl1 ignore index(`PRIMARY`);
DELETE FROM tbl1 WHERE id=?
压测类
参考shardingsphere-benchmark实现,注意阅读其中的注释
编译
git clone https://github.com/apache/shardingsphere-benchmark.git
cd shardingsphere-benchmark/shardingsphere-benchmark
mvn clean install
压测执行
cp target/shardingsphere-benchmark-1.0-SNAPSHOT-jar-with-dependencies.jar apache-jmeter-4.0/lib/ext
jmeter –n –t test_plan/test.jmx
test.jmx参考https://github.com/apache/shardingsphere-benchmark/tree/master/report/script/test_plan/test.jmx
压测结果处理
注意修改为上一步生成的result.jtl的位置。
sh shardingsphere-benchmark/report/script/gen_report.sh
历史压测数据展示
正在进行中,请等待。