configuration executionPlanCache: # execution plan cache configuration initialCapacity: 2000 # execution plan local cache initial capacity maximumSize: 65535 # execution plan local cache maximum size 9.1. ShardingSphere-JDBC configuration • executio nPlanCache org. apache.shardingsphere.sq l.parser.api.CacheOption execution plan cache configuration • 9.1. ShardingSphere-JDBC 128 Apache ShardingSphere document Cache option Initial capacity of local cache execution plan local cache default value of 2000 maxi mum‐ Size long Maximum capacity of lo‐ cal cache execution plan local cache maximum default value 65535 Sample

challenge. This section includes three modules: governance, observability and cluster management(in plan). 4.5. Governance 48 Apache ShardingSphere document, v5.0.0 4.5.2 Challenges The challenges of ShardingSphere-JDBC 74 Apache ShardingSphere document, v5.0.0 Use JNDI Data Source If developer plan to use ShardingSphere‐JDBC in Web Server (such as Tomcat) with JNDI data source, spring.shardingsphere Parse => Logical Plan Optimize => Physical Plan Optimize => Plan Execute => Standard Kernel Process. The federation executor engine perform logical plan optimization and physical plan optimization. In

ShardingSphere-JDBC 97 Apache ShardingSphere document, v5.1.1 Use JNDI Data Source If developer plan to use ShardingSphere‐JDBC in Web Server (such as Tomcat) with JNDI data source, spring.shardingsphere consists of SQL Parse => Logical Plan Optimize => Physical Plan Optimize => Plan Execute => Standard Kernel Process. The federation executor engine perform logical plan optimization and physical 7.2. Sharding 243 Apache ShardingSphere document, v5.1.1 plan optimization. In the optimization execution phase, it relies on the standard kernel process to route, rewrite, execute, and merge the optimized

username=root spring.shardingsphere.datasource.ds2.password= Use JNDI Data Source If developer plan to use ShardingSphere‐JDBC in Web Server (such as Tomcat) with JNDI data source, spring.shardingsphere consists of SQL Parse => Logical Plan Optimize => Physical Plan Optimize => Plan Execute => Standard Kernel Process. The federation executor engine perform logical plan optimization and physical 7.2. Sharding 254 Apache ShardingSphere document, v5.1.2 plan optimization. In the optimization execution phase, it relies on the standard kernel process to route, rewrite, execute, and merge the optimized

challenge. This section includes three modules: governance, observability and cluster management(in plan). 3.4.2 Challenges The challenges of distributed governance mainly lie in the complexity of cluster nections in the current connection sctl:show cache d_connections s ctl:explain SQL View the execution plan for logical SQL. sctl:explain select * from t_order sctl:hint set PRI‐ MAR Y_ONLY=true For current 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

re‐plugin) repository. Plugins in ShardingSphere Plugin repository would remain the same release plan with ShardingSphere, they can be retrieved at https://central.sona type.com/, and install into ShardingSphere Resource & Rule Utility Language, is responsible for SQL parsing, SQL formatting, preview execution plan, etc. 9.2. ShardingSphere-Proxy 165 Apache ShardingSphere document Impact on the System Before Syntax RUL (Resource Utility Language) responsible for SQL parsing, SQL formatting, preview execution plan and more utility functions. PARSE SQL Description The PARSE SQL syntax is used to parse SQL and

execute OneOffJob is up to you. Developers can inject the OneOffJobBootstrap bean into where they plan to invoke. Trigger the job by invoking execute() method manually. The bean name of OneOffJobBootstrap execute OneOffJob is up to you. Developers can inject the OneOffJobBootstrap bean into where they plan to invoke. Trigger the job by invoking execute() method manually. 0 码力 | 101 页 | 1.53 MB | 1 年前

3

列 说明 sql_federation_enabled 是否开启联邦查询 all_query_use_sql_federation 是否全部查询 SQL 使用联邦查询 execution_plan_cache 执行计划缓存 示例 • 查询联邦查询配置 SHOW SQL_FEDERATION RULE; mysql> show sql_federation rule; +----- -------- -----------------+ | sql_federation_enabled | all_query_use_sql_federation | execution_plan_cache | +------------------------+------------------------------+-------------------------- -----------------+ allQueryUseSQLFederation ::= 'ALL_QUERY_USE_SQL_FEDERATION' '=' boolean_ executionPlanCache ::= 'EXECUTION_PLAN_CACHE' '(' cacheOption ')' cacheOption ::= ('INITIAL_CAPACITY' '=' initialCapacity)? (',' 'MAXIMUM_SIZE'

Resource & Rule Utility Language, is responsible for SQL parsing, SQL formatting, preview execution plan, etc. Impact on the System Before Before having DistSQL, users used SQL to operate data while using Syntax RUL (Resource Utility Language) responsible for SQL parsing, SQL formatting, preview execution plan and more utility functions. SQL Utility St atement Function Example PARSE SQL Parse SQL and output and output formated SQL statement FORMAT SELECT * FROM t_order PREVIEW SQL Preview SQL execution plan PREVIEW SELECT * FROM t_order Usage This chapter will introduce how to use DistSQL to manage resources

Resource & Rule Utility Language, is responsible for SQL parsing, SQL formatting, preview execution plan, etc. Impact on the System Before Before having DistSQL, users used SQL to operate data while using Syntax RUL (Resource Utility Language) responsible for SQL parsing, SQL formatting, preview execution plan and more utility functions. SQL Utility St atement Function Example PARSE SQL Parse SQL and output and output formated SQL statement FORMAT SELECT * FROM t_order PREVIEW SQL Preview SQL execution plan PREVIEW SELECT * FROM t_order Usage This chapter will introduce how to use DistSQL to manage resources