deployment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 Operation and maintenance platform and RESTFul API deployment (optional) . . 72 6.3.2 Dump Job Information . . . . . . . . . . . non‐loopback available IPV4 address in the network card list by default. Operation and maintenance platform and RESTFul API deployment (optional) 1. Unzip elasticjob-console-${version}.tar.gz and execute Operation 77 Apache ShardingSphere ElasticJob document Design concept The operation and maintenance platform has no direct relationship with ElasticJob. It displays the job status by reading the job registration

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 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

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 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

facilitate hyper-fast development. Portability − MyBatis can be implemented for nearly any language or platform such as Java, Ruby, and C# for Microsoft .NET. Independent Interfaces − MyBatis provides database-independent

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

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

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

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