Seata BASE transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 3.2.5 Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 Navigation . . . . . . . . . . . . . . . . . . . . 80 3.5.7 Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Principle Description . . . . . . . . . . . . . . . . . . . Core Concept . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3.6.5 Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Process Details

Availability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 5.2.4 Implementation Principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Elastic Distributed Implementation which acts as a job processing system that enables the horizontal scaling of jobs by sharding, it’s also the origin of the project name“ElasticJob” . 5.2.1 Sharding A concept in ElasticJob to split option is enabled, the idle servers can take over the failed jobs immediately. 5.2.4 Implementation Principle ElasticJob does not have a job scheduling center node, but the programs based on the deployment

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 7.3.1 Principle Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267 7.3.2 Phase Description Low High Supported Languages Java Only Any Any Performance Low loss Relatively High loss Low loss De centralization Yes No No Static Entry No Yes No 1.1.4 Hybrid Architecture ShardingSphere‐JDBC adopts business more freely. 1.1. Introduction 4 Apache ShardingSphere document, v5.0.0 1.2 Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277 7.4.1 Principle Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277 7.4.2 Phase Description Low High Supported Languages Java Only Any Any Performance Low loss Relatively High loss Low loss De centralization Yes No No Static Entry No Yes No 1.1.4 Hybrid Architecture ShardingSphere‐JDBC adopts business more freely. 1.1. Introduction 4 Apache ShardingSphere document, v5.1.1 1.2 Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 7.4.1 Principle Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 7.4.2 Phase Description Low High Supported Languages Java Only Any Any Performance Low loss Relatively High loss Low loss De centralization Yes No No Static Entry No Yes No 1.1.4 Hybrid Architecture ShardingSphere‐JDBC adopts business more freely. 1.1. Introduction 4 Apache ShardingSphere document, v5.1.2 1.2 Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data

. . . . . . . . . . . . . . . . . . . . . . . . . . . 580 xii 13.4.1 Single table Table or view %s does not exist. How to solve the exception? . . . . 580 13.5 DistSQL . . . . . . . . . . . . . . . ShardingSphere-JDBC ShardingSphere‐JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. 1.1.2 ShardingSphere-Proxy ShardingSphere‐Proxy is a transparent database proxy, providing of standalone databases, enabling data security across underlying data sources. Re ad /w ri te S pl it ti ng Read/write splitting can be used to cope with business access with high stress. Sharding‐

ShardingSphere-JDBC ShardingSphere‐JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. 1 Apache ShardingSphere document, v5.2.0 ShardingSphere-Proxy ShardingSphere‐Proxy services based on stateless ser‐ vices. At the same time, it can sense and use the underlying database’s HA solution to achieve its overall high availability. Data Migra‐ tion Data migration is the key isolation support for complex testing work. The obtained testing result can accurately reflect the system’s true capacity and performance. 1.1. What is ShardingSphere 2 Apache ShardingSphere document, v5.2

ShardingSphere-JDBC ShardingSphere‐JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. 1.1.2 ShardingSphere-Proxy ShardingSphere‐Proxy is a transparent database proxy, providing of standalone databases, enabling data security across underlying data sources. Re ad /w ri te S pl it ti ng Read/write splitting can be used to cope with business access with high stress. Sharding‐ migrate the data from other data sources, while simul‐ taneously performing data sharding. Q ue ry Fe de ra ti on Federated queries are effective in utilizing data in a complex data environment. Sharding‐

ShardingSphere-JDBC ShardingSphere‐JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. ShardingSphere-Proxy ShardingSphere‐Proxy is a transparent database proxy, providing and computing platform. Guar‐ antee the HA of your distributed database cluster with ShardingSphere’s Operator on Ku‐ bernetes, and the native HA of your existing data sources. Data Mi‐ gra‐ tion ShardingSphere-JDBC ShardingSphere‐JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. With the client connecting directly to the database, it provides services in the form of

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 536 13.4.1 单表 Table or view %s does not exist. 异常如何解决？ . . . . . . . . . . . . . . . 536 13.5 DistSQL . . . . . . . . . . . . . . String 分片逻辑表名称 • act ualDataSources (?) String 数据源名称，多个数据 源以逗号分隔 使用全部配置的数据源 sh ardingStrategy (?) S hardingStrateg yCon‐ figuration 分片策略 使用默认分片策略 keyGe nerateStrategy (?) KeyGenerato rConfig‐ uration 你必须安装 Docker Engine 以执行 testcontainers-java 相关的单元测试。 sudo apt install unzip zip curl sed -y curl -s "https://get.sdkman.io" | bash source "$HOME/.sdkman/bin/sdkman-init.sh" sdk install java 22.0.1-graalce