deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Operation and maintenance platform and RESTFul API deployment (optional) . . 72 6.3.2 Dump Job Information . . . . . . . . . . . other usage of ElasticJob. The difference is that jobs will be registered into the Spring IoC container. Thread‐Safety Issue Bean is singleton by default. Consider setting Bean Scope to prototype if instances of OneOffJobBootstrap or ScheduleJobBootstrap and register them into the Spring IoC container automatically. Configuration reference: elasticjob: regCenter: serverLists: localhost:6181

to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform. Database Plus, the design phi‐ losophy of Apache ShardingSphere users want to analyze data, they need to use ETL tools first, syn‐ chronize the data to the data platform, and then perform data analysis. However, ETL tools will greatly reduce the effectiveness of data need to use different dialects for different kinds of databases, and there is no uni‐ fied query platform. Automatically translate different types of database dialects into the dialects used by the database

to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform. Database Plus, the design phi‐ losophy of Apache ShardingSphere High Avail‐ ability High availability is a basic requirement for a data storage and computing platform. Guar‐ antee the HA of your distributed database cluster with ShardingSphere’s Operator on Ku‐ users want to analyze data, they need to use ETL tools first, syn‐ chronize the data to the data platform, and then perform data analysis. However, ETL tools will greatly reduce the effectiveness of data

to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform. Database Plus, the design phi‐ losophy of Apache ShardingSphere users want to analyze data, they need to use ETL tools first, syn‐ chronize the data to the data platform, and then perform data analysis. However, ETL tools will greatly reduce the effectiveness of data need to use different dialects for different kinds of databases, and there is no uni‐ fied query platform. Automatically translate different types of database dialects into the dialects used by the database

to providing a multi‐source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform. Database Plus, the design phi‐ losophy of Apache ShardingSphere High Avail‐ ability High availability is a basic requirement for a data storage and computing platform. Shard‐ ingSphere provides access to high‐availability computing services based on stateless ser‐ users want to analyze data, they need to use ETL tools first, syn‐ chronize the data to the data platform, and then perform data analysis. However, ETL tools will greatly reduce the effectiveness of data

different flow rates and pressure test marks. Usually we will build a complete set of pressure testing platform for different test plans. Data isolation have to be done at the database‐level, in order to ensure in full‐link pressure testing scenarios. Kernel‐based SQL analysis capabilities and a pluggable platform architecture realize the isolation of pressure test data and production data, help application PostgreSQL’s IP in /${your_work_dir}/conf/ config-xxx.yaml configuration is accessible to Docker container. Question 3：How to start ShardingSphere‐Proxy whose backend databases are MySQL or openGauss.

ent flow rates and pressure test tags. Usually we will build a complete set of pressure testing platform for different test plans. Data isolation have to be done at the database‐level, in order to ensure PostgreSQL’s IP in /${your_work_dir}/conf/ config-xxx.yaml configuration is accessible to Docker container. Question 3：How to start ShardingSphere‐Proxy whose backend databases are MySQL or openGauss.

ent flow rates and pressure test tags. Usually we will build a complete set of pressure testing platform for different test plans. Data isolation have to be done at the database‐level, in order to ensure PostgreSQL’s IP in /${your_work_dir}/conf/ config-xxx.yaml configuration is accessible to Docker container. Question 3：How to start ShardingSphere‐Proxy whose backend databases are MySQL or openGauss.

的 验 证， 是 通 过 GraalVM Native Build Tools 的 Maven Plugin 子项目来完成的。通过在 JVM 下运行单元测试，为单元测试 打上 junit-platform-unique-ids* 标签，此后构建为 GraalVM Native Image 进行 na‐ tiveTest 来 测 试 在 GraalVM Native Image 下 的 单 元 GraalVM Native Image 集成。Proxy 的 Native Image 产物在 https://github.com/apache/shardingsphere/pkgs/container/shardingsphere‐proxy‐native 存 在每夜构建。假设存在包含 server.yaml 的 conf 文件夹为 ./custom/conf，你可通过如下的 docker-compose

的 验 证， 是 通 过 GraalVM Native Build Tools 的 Maven Plugin 子项目来完成的。通过在 JVM 下运行单元测试，为单元测试 打上 junit-platform-unique-ids* 标签，此后构建为 GraalVM Native Image 进行 na‐ tiveTest 来 测 试 在 GraalVM Native Image 下 的 单 元 GraalVM Native Image 集成。Proxy 的 Native Image 产物在 https://github.com/apache/shardingsphere/pkgs/container/shardingsphere‐proxy‐native 存 在每夜构建。假设存在包含 global.yaml 的 conf 文件夹为 ./custom/conf，你可通过如下的 docker-compose