268 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 4.3.2 Builtin Ultimate Performance Having been polished for years, the driver is close to a native JDBC in terms of efficiency, with ultimate performance. • Ecosystem Compatibility The proxy can be accessed by any application otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id

283 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 4.3.2 Builtin Ultimate Performance Having been polished for years, the driver is close to a native JDBC in terms of efficiency, with ultimate performance. • Ecosystem Compatibility The proxy can be accessed by any application otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id

399 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 9.3.2 Builtin Ultimate Performance Having been polished for years, the driver is close to a native JDBC in terms of efficiency, with ultimate performance. • Ecosystem Compatibility The proxy can be accessed by any application otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id

430 Procedure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 9.3.2 Builtin Ultimate Performance Having been polished for years, the driver is close to a native JDBC in terms of efficiency, with ultimate performance. • Ecosystem Compatibility The proxy can be accessed by any application otherwise, Cartesian product association or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id

Cartesian product correlation or cross‐database correlation will appear, which will affect query efficiency. For example, t_order and t_order_item are both sharded by order_id, and use order_id to correlate Cartesian product correlation will not appear in the multi‐tables correlating query, so the query efficiency will increase greatly. Take this one for example, if SQL is: SELECT i.* FROM t_order o JOIN t_order_item ngsphere‐ agent JAEG ER_SAMPLER_TYPE Jaeger sample rate type const, probabilistic, ratelimiting, remote const JAEGE R_SAMPLER_PARAM Jaeger sample rate pa‐ rameter const:0, 1, pr obabilistic:0

Cartesian product correlation or cross‐database correlation will appear, which will affect query efficiency. For example, t_order and t_order_item are both sharded by order_id, and use order_id to correlate Cartesian product correlation will not appear in the multi‐tables correlating query, so the query efficiency will increase greatly. Take this one for example, if SQL is: SELECT i.* FROM t_order o JOIN t_order_item VICE_NAME Tracking service name Custom shardi ngsphere‐ agent JAEG ER_SAMPLER_TYPE Jaeger sample rate type const、proba bilistic、ratel imiting、remote const JAEGE R_SAMPLER_PARAM Jaeger sam‐

Carte‐ sian product correlation will not appear in the multi‐table correlating query, so the query efficiency will increase greatly. Take this one for example, if SQL is: SELECT i.* FROM t_order o JOIN t_order_item databasest_order_0 and t_order_1, the SQL will be executed on t_order_1 after routing. The following is a sample code using the API. String sql = "SELECT * FROM t_order"; try ( HintManager hintManager = HintManager Apache ShardingSphere document, v5.0.0-beta The latter the offset position is, the lower the efficiency of using LIMIT pagination will be. There are many ways to avoid using LIMIT as pagination method

Carte‐ sian product correlation will not appear in the multi‐tables correlating query, so the query efficiency will increase greatly. Take this one for example, if SQL is: SELECT i.* FROM t_order o JOIN t_order_item according to seata‐work‐shop. Create Undo Log Table Create undo_log table in each physical database (sample for MySQL). CREATE TABLE IF NOT EXISTS `undo_log` ( `id` BIGINT(20) NOT NULL AUTO_INCREMENT COMMENT databasest_order_0 and t_order_1, the SQL will be executed on t_order_1 after routing. The following is a sample code using the API. String sql = "SELECT * FROM t_order"; try ( HintManager hintManager = HintManager

Support job sharding and high availability in distributed system – Scale out for throughput and efficiency improvement – Job processing capacity is flexible and scalable with the allocation of resources number of the servers, it re‐assigns the job slices to the distributed servers, maximizing the efficiency as the increment of resources. To execute the job in distributed servers, a job will be divided job are very short, it is recommended not to monitor the running status of the job to improve efficiency. There is no need to monitor because it is a transient state. User can add data accumulation monitoring

hence this may result in undesired mappings. To understand the risk have a look at the following sample: select B.id, B.title, A.username parameterType); } 一旦有了自定义的语言驱动，你就可以在 mybatis-config.xml 文件中将它设置为默认语言：

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