outputDefinition] [, streamChannel] [, completionDetector] [, dataConsistencyChecker] inputDefinition: INPUT ([workerThread] [, batchSize] [, rateLimiter]) outputDefinition: OUTPUT ([workerThread] [, batchSize] ShardingSphere document, v5.1.2 Sharding Scaling Rule CREATE SHARDING SCALING RULE sharding_scaling( INPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), OUTPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), STREAM Broadcast Table list Sharding Scaling Rule Column Description name name of sharding scaling rule input data read configuration output data write configuration stream_channel algorithm of stream channel

dataConsistencyChecker] 5.2. ShardingSphere-Proxy 167 Apache ShardingSphere document, v5.1.1 inputDefinition: INPUT ([workerThread] [, batchSize] [, rateLimiter]) outputDefinition: OUTPUT ([workerThread] [, batchSize] SHARDING BROADCAST TABLE RULES; Sharding Scaling Rule CREATE SHARDING SCALING RULE sharding_scaling( INPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), OUTPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), 5.2. ShardingSphere-Proxy document, v5.1.1 Sharding Scaling Rule Column Description name name of sharding scaling rule input data read configuration output data write configuration stream_channel algorithm of stream channel

outputDefinition] [, streamChannel] [, completionDetector] [, dataConsistencyChecker] inputDefinition: INPUT ([workerThread] [, batchSize] [, rateLimiter]) outputDefinition: OUTPUT ([workerThread] [, batchSize] BROADCAST TABLE RULES t_b; Sharding Scaling Rule CREATE SHARDING SCALING RULE sharding_scaling( INPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), OUTPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), STREAM Broadcast Table Rule 列 说明 sharding_broadcast_tables 广播表名称 Sharding Scaling Rule 列 说明 name 弹性伸缩配置名称 input 数据读取配置 output 数据写入配置 stream_channel 数据通道配置 completion_detector 作业完成检测算法配置 data_consistency_checker

completionDetector] [, dataConsistencyChecker] inputDefinition: INPUT (workerThread, batchSize, rateLimiter) outputDefinition: INPUT (workerThread, batchSize, rateLimiter) completionDetector: COMPLETION_DETECTOR BROADCAST TABLE RULES t_b; Sharding Scaling Rule CREATE SHARDING SCALING RULE sharding_scaling( INPUT( WORKER_THREAD=40, BATCH_SIZE=1000, RATE_LIMITER(TYPE(NAME=QPS, PROPERTIES("qps"=50))) ), OUTPUT( Broadcast Table Rule 列 说明 sharding_broadcast_tables 广播表名称 Sharding Scaling Rule 列 说明 name 弹性伸缩配置名称 input 数据读取配置 output 数据写入配置 stream_channel 数据通道配置 completion_detector 作业完成检测算法配置 data_consistency_checker

outputDefinition] [, streamChannel] [, completionDetector] [, dataConsistencyChecker] inputDefinition: INPUT ([workerThread] [, batchSize] [, rateLimiter]) outputDefinition: OUTPUT ([workerThread] [, batchSize] BROADCAST TABLE RULES t_b; Sharding Scaling Rule CREATE SHARDING SCALING RULE sharding_scaling( INPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), OUTPUT( WORKER_THREAD=40, BATCH_SIZE=1000 ), STREAM Broadcast Table Rule 列 说明 sharding_broadcast_tables 广播表名称 Sharding Scaling Rule 列 说明 name 弹性伸缩配置名称 input 数据读取配置 output 数据写入配置 stream_channel 数据通道配置 completion_detector 作业完成检测算法配置 data_consistency_checker

Like standard SQL, DistSQL is recognized by the parsing engine of ShardingSphere. It converts the input statement into an abstract syntax tree and then generates the Statement corresponding to each grammar 167 Apache ShardingSphere document Syntax Rule In DistSQL statement, except for keywords, the input format of other elements shall conform to the following rules. Identifier 1. The identifier represents symbols to the expression part, and will directly obtain the output of the standard list from the input of the standard list. This helps address the issue that Groovy expressions are inconvenient to use

Like standard SQL, DistSQL is recognized by the parsing engine of ShardingSphere. It converts the input statement into an abstract syntax tree and then generates the Statement corresponding to each grammar of DistSQL with practical examples. Syntax Rule In DistSQL statement, except for keywords, the input format of other elements shall conform to the following rules. Identifier 1. The identifier represents symbols to the expression part, and will directly obtain the output of the standard list from the input of the standard list. This helps address the issue that Groovy expressions are inconvenient to use

Like standard SQL, DistSQL is recognized by the parsing engine of ShardingSphere. It converts the input statement into an abstract syntax tree and then generates the Statement corresponding to each grammar of DistSQL with practical examples. Syntax Rule In DistSQL statement, except for keywords, the input format of other elements shall conform to the following rules. 4.2. ShardingSphere-Proxy 197 Apache type in test\resources. In the xml file, yaml-rule means the environment configuration file path, input contains the target SQL and parameters, output contains the expected SQL and parameters. The db-type

Like standard SQL, DistSQL is recognized by the parsing engine of ShardingSphere. It converts the input statement into an abstract syntax tree and then generates the Statement corresponding to each grammar of DistSQL with practical examples. Syntax Rule In DistSQL statement, except for keywords, the input format of other elements shall conform to the following rules. 4.2. ShardingSphere-Proxy 203 Apache type in test\resources. In the xml file, yaml-rule means the environment configuration file path, input contains the target SQL and parameters, output contains the expected SQL and parameters. The db-type

type in test\resources. In the xml file, yaml-rule means the environment configuration file path, input contains the target SQL and parameters, output contains the expected SQL and parameters. The db-type parse type, change db-type --> <input sql="CREATE INDEX index_name ON t_account ('status')" />

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