539 Pagination Correction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541 x Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 542 Rewriting the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Co ncurrent per formance no loss severe loss slight loss Applied s cenar‐ ios Inconsistent processing by the business side short transaction & low‐ level concurrency long transaction & high concurrency

510 Pagination Correction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 512 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 513 Rewriting the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Co ncurrent per formance no loss severe loss slight loss Applied s cenar‐ ios Inconsistent processing by the business side short transaction & low‐ level concurrency long transaction & high concurrency

267 Pagination Revision . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270 Optimization the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Transaction The earliest distributed transaction model of XA standard is X/Open Distributed Transaction Processing (DTP) model brought up by X/Open, XA for short. Distributed transaction based on XA standard has

371 Pagination Correction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374 Rewriting the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Co ncurrent per formance no loss severe loss slight loss Applied s cenar‐ ios Inconsistent processing by the business side short transaction & low‐ level concurrency long transaction & high concurrency

398 Pagination Correction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401 Rewriting the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Co ncurrent per formance no loss severe loss slight loss Applied s cenar‐ ios Inconsistent processing by the business side short transaction & low‐ level concurrency long transaction & high concurrency

256 Pagination Revision . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259 Optimization the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Transaction The earliest distributed transaction model of XA standard is X/Open Distributed Transaction Processing (DTP) model brought up by X/Open, XA for short. Distributed transaction based on XA standard has

246 Pagination Revision . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248 Batch Split . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249 Optimization ShardingSphere document, v5.0.0 Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard Transaction The earliest distributed transaction model of XA standard is X/Open Distributed Transaction Processing (DTP) model brought up by X/Open, XA for short. Distributed transaction based on XA standard has

the following diagram. Theoretically, horizontal sharding has overcome the limitation of data processing volume in single ma‐ chine and can be extended relatively freely, so it can be taken as a standard method to write SQL, he only needs to rewrite parameter list rather than SQL itself. Batch Split When using batch inserted SQL, if the inserted data crosses sharding, the user needs to rewrite SQL to 'xxx'); INSERT INTO t_order_1 (order_id, xxx) VALUES (1, 'xxx'), (3, 'xxx'); IN query is similar to batch insertion, but IN operation will not lead to wrong data query result. Through rewriting IN query

ShardingSphere document 8.2.7 核心概念 XA 协议 XA 协议最早的分布式事务模型是由 X/Open 国际联盟提出的 X/Open Distributed Transaction Processing (DTP) 模型，简称 XA 协议。 8.2.8 使用限制 虽然 Apache ShardingSphere 希望能够完全兼容所有的分布式事务场景，并在性能上达到最优，但在 CAP -Prelease,docker 如果遇到以下问题，请确保 Docker daemon 进程已经运行。 I/O exception (java.io.IOException) caught when processing request to {}->unix:// localhost:80: Connection refused？ 2. 配置 conf/server.yaml 和 conf/config-* ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')' writeConfiguration ::= 'WRITE' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '='

ShardingSphere document 8.2.7 核心概念 XA 协议 XA 协议最早的分布式事务模型是由 X/Open 国际联盟提出的 X/Open Distributed Transaction Processing (DTP) 模型，简称 XA 协议。 8.2.8 使用限制 虽然 Apache ShardingSphere 希望能够完全兼容所有的分布式事务场景，并在性能上达到最优，但在 CAP -Prelease,docker 如果遇到以下问题，请确保 Docker daemon 进程已经运行。 I/O exception (java.io.IOException) caught when processing request to {}->unix:// localhost:80: Connection refused？ 2. 配置 conf/server.yaml 和 conf/config-* ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')' writeConfiguration ::= 'WRITE' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '='