Performance Test

Target

The performance of ShardingSphere-JDBC, ShardingSphere-Proxy and MySQL would be compared here. INSERT & UPDATE & DELETE which regarded as a set of associated operation and SELECT which focus on sharding optimization are used to evaluate performance for the basic scenarios (single route, replica query & encrypt & sharding, full route). While another set of associated operation, INSERT & SELECT & DELETE, is used to evaluate performance for replica query. To achieve the result better, these tests are performed with jmeter which based on a certain amount of data with 20 concurrent threads for 30 minutes, and one MySQL has been deployed on one machine, while the scenario of MySQL used for comparison is deployed on one machine with one instance.

Test Scenarios

Single Route

On the basis of one thousand data volume, four databases that are deployed on the same machine and each contains 1024 tables with id used for database sharding and k used for table sharding are designed for this scenario, single route select sql statement is chosen here. While as a comparison, MySQL runs with INSERT & UPDATE & DELETE statement and single route select sql statement on the basis of one thousand data volume.

Replica Query

One primary database and one replica database, which are deployed on different machines, are designed for this scenario based on ten thousand data volume. While as a comparison, MySQL runs with INSERT & SELECT & DELETE sql statement on the basis of ten thousand data volume.

Replica Query & Encrypt & Sharding

On the basis of one thousand data volume, four databases that are deployed on different machines and each contains 1024 tables with id used for database sharding, k used for table sharding, c encrypted with aes and pad encrypted with md5 are designed for this scenario, single route select sql statement is chosen here. While as a comparison, MySQL runs with INSERT & UPDATE & DELETE statement and single route select sql statement on the basis of one thousand data volume.

Full Route

On the basis of one thousand data volume, four databases that are deployed on different machines and each contains one table are designed for this scenario, field id is used for database sharding and k is used for table sharding, full route select sql statement is chosen here. While as a comparison, MySQL runs with INSERT & UPDATE & DELETE statement and full route select sql statement on the basis of one thousand data volume.

Testing Environment

Table Structure of Database

The structure of table here refer to sbtest in sysbench

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`)
);

Test Scenarios Configuration

The same configurations are used for ShardingSphere-JDBC and ShardingSphere-Proxy, while MySQL with one database connected is designed for comparision. The details for these scenarios are shown as follows.

Single Route Configuration

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:
    inline:
      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

Replica Query Configuration

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:
- !REPLICA_QUERY
  dataSources:
    pr_ds:
      name: pr_ds
      primaryDataSourceName: primary_ds
      replicaDataSourceNames:
        - replica_ds_0

Replica Query & Encrypt & Sharding Configuration

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
- !REPLICA_QUERY
  dataSources:
    pr_ds_0:
      primaryDataSourceName: primary_ds_0
      replicaDataSourceNames:
        - replica_ds_0
      loadBalancerName: round_robin
    pr_ds_1:
      primaryDataSourceName: primary_ds_1
      replicaDataSourceNames:
        - replica_ds_1
      loadBalancerName: round_robin
    pr_ds_2:
      primaryDataSourceName: primary_ds_2
      replicaDataSourceNames:
        - replica_ds_2
      loadBalancerName: round_robin
    pr_ds_3:
      primaryDataSourceName: primary_ds_3
      replicaDataSourceNames:
        - 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
props:
  query-with-cipher-column: true    

Full Route Configuration

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  

Test Result Verification

SQL Statement

INSERT+UPDATE+DELETE sql statements:
INSERT INTO tbl(k, c, pad) VALUES(1, '###-###-###', '###-###');
UPDATE tbl SET c='####-####-####', pad='####-####' WHERE id=?;
DELETE FROM tbl WHERE id=?

SELECT sql statement for full route:
SELECT max(id) FROM tbl WHERE id%4=1

SELECT sql statement for single route:
SELECT id, k FROM tbl ignore index(`PRIMARY`) WHERE id=1 AND k=1

INSERT+SELECT+DELETE sql statements:
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=?

Jmeter Class

Consider the implementation of shardingsphere-benchmark Notes: the notes in shardingsphere-benchmark/README.md should be taken attention to

Compile & Build

git clone https://github.com/apache/shardingsphere-benchmark.git
cd shardingsphere-benchmark/shardingsphere-benchmark
mvn clean install

Perform Test

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 example:https://github.com/apache/shardingsphere-benchmark/tree/master/report/script/test_plan/test.jmx

Process Result Data

Make sure the location of result.jtl file is correct.

sh shardingsphere-benchmark/report/script/gen_report.sh

Display of Historical Performance Test Data

In progress, please wait.