k-idle-seconds- threshold"=1800))), DATA_CONSISTENCY_CHECKER(TYPE(NAME=DATA_MATCH, PROPERTIES("chunk-size"=1000))) ); ENABLE SHARDING SCALING RULE sharding_scaling; DISABLE SHARDING SCALING RULE sharding_scaling; ":"IDLE","props":{"incremental-task-idle-seconds-threshold":"1800"}} | {"type": "DATA_MATCH","props":{"chunk-size":"1000"}} | +------------------+--------------------------------------------------------------- this step. type: # Algorithm type. Options: DATA_MATCH, CRC32_MATCH props: # Algorithm properties chunk-size: # Maximum records count of a query operation for check 5.2. ShardingSphere-Proxy 218 Apache

k-idle-seconds- threshold"=1800))), DATA_CONSISTENCY_CHECKER(TYPE(NAME=DATA_MATCH, PROPERTIES("chunk-size"=1000))) ); ENABLE SHARDING SCALING RULE sharding_scaling; DISABLE SHARDING SCALING RULE sharding_scaling; ":"IDLE","props":{"incremental-task-idle-seconds-threshold":"1800"}} | {"type": "DATA_MATCH","props":{"chunk-size":"1000"}} | +------------------+--------------------------------------------------------------- dataConsistencyChecker: # 数据一致性校验算法。如果不配置则跳过这个步骤。 type: # 算法类型。可选项：DATA_MATCH, CRC32_MATCH props: # 算法属性 chunk-size: # 一次查询操作返回的最大记录数 dataConsistencyChecker 的 type 可以通过执行 DistSQL SHOW SCALING CHECK ALGORITHMS

task-idle-minute- threshold"=30))), DATA_CONSISTENCY_CHECKER(TYPE(NAME=DATA_MATCH, PROPERTIES("chunk-size"=1000))) ); ENABLE SHARDING SCALING RULE sharding_scaling; DISABLE SHARDING SCALING RULE sharding_scaling; ":"IDLE","props":{"incremental-task-idle-minute-threshold":"30"}} | {"type":"DATA_ MATCH","props":{"chunk-size":"1000"}} | +------------------+--------------------------------------------------------------- this step. type: # Algorithm type. Options: DATA_MATCH, CRC32_MATCH props: # Algorithm properties chunk-size: # Maximum records count of a query operation for check Configuration Example: rules: - !SHARDING

ShardingSphere document, v5.1.1 threshold"=30))), DATA_CONSISTENCY_CHECKER(TYPE(NAME=DATA_MATCH, PROPERTIES("chunk-size"=1000))) ); ENABLE SHARDING SCALING RULE sharding_scaling; DISABLE SHARDING SCALING RULE sharding_scaling; ":"IDLE","props":{"incremental-task-idle-minute-threshold":"30"}} | {"type":"DATA_ MATCH","props":{"chunk-size":"1000"}} | +------------------+--------------------------------------------------------------- dataConsistencyChecker: # 数据一致性校验算法。如果不配置则跳过这个步骤。 type: # 算法类型。可选项：DATA_MATCH, CRC32_MATCH props: # 算法属性 chunk-size: # 一次查询操作返回的最大记录数 配置示例： rules: - !SHARDING # 忽略的配置 scalingName: default_scaling scaling:

task-idle-minute- threshold"=30))), DATA_CONSISTENCY_CHECKER(TYPE(NAME=DATA_MATCH, PROPERTIES("chunk-size"=1000))) ); ENABLE SHARDING SCALING RULE sharding_scaling; DISABLE SHARDING SCALING RULE sharding_scaling; {"type":"IDLE","props":{"incremental-task-idle-minute-threshold":"30"}} | {"type":"DATA_MATCH","props":{"chunk-size":"1000"}} | +------------------+--------------------------------------------------------------- dataConsistencyChecker: # 数据一致性校验算法。如果不配置则跳过这个步骤。 type: # 算法类型。可选项：DATA_MATCH, CRC32_MATCH props: # 算法属性 chunk-size: # 一次查询操作返回的最大记录数 配置示例： 5.4. ShardingSphere-Scaling 191 Apache ShardingSphere document, v5