. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 9.2.3 Digitalization and Cloud Services . . . . . . . . . . . . . . . . . . . . . . . . . . 86 9.2.4 Transportation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 9.2.12 Software Development Services . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 9.2.13 Health Care . . . . . . . . . servers. ElasticJob is a lightweight, decentralized solution that provides distributed task sharding services. 2 2 Features • Elastic Schedule – Support job sharding and high availability in distributed

relying on some particular algorithms to generate unrepeated keys or introducing sequence generation services. We have provided several built‐in key generators, such as UUID, SNOWFLAKE. Besides, we have also transactions. But in distributed application situations based on micro‐services, more and more of them require to include multiple accesses to services and the corresponding database resources in the same transaction been able to provide 3.2. Distributed Transaction 61 Apache ShardingSphere document, v5.0.0-beta services through jar packages. Integrated with Apache ShardingSphere, it can guarantee the high con‐ sistency

"distributeOnceJobListener"; } } 添加 SPI 实现 将 JobListener 实现添加至 infra‐common 下 resources/META‐INF/services/org.apache.shardingsphere.elasticjob.infra.listener.ElasticJobListener 使用 Java API 常规监听器 public ${latest.release.version} 可配置属性： 属性名 说明 是否必填 默认值 dingtalk.webhook 钉 钉 机 器 人 的 web‐ hook 地址 是 • dingtalk.keyword 自定义关键词 否 null dingtalk.secret 签名的密钥 否 null dingtalk.connect TimeoutMilliseconds https://github.com/casdoor/casdoor 启动模式有开发模式和生产模式, 此处以开发模式为例,更多详细 后端启动方式 go run main.go 前端启动方式 cd web yarn install yarn start 步骤二: 配置 casdoor 并得到所需的数据 6.3. 运维手册 73 Apache ShardingSphere ElasticJob

lightweight Java framework that provides extra services at the Java JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment Improving the compatibility with the original database is the premise of providing incremental services on it. The compatibility between SQL dialect and database protocol is the key point to improve relying on some particular algorithms to generate unrepeated keys or introducing sequence generation services. We have provided several built‐in key generators, such as UUID, SNOWFLAKE. Besides, we have also

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 parser and storage adapter, corresponding to the way in which Apache Shard‐ ingSphere provides services by database protocol, the way in which SQL dialect operates data, and the database type that interacts 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 jar and requires no extra deployment

lightweight Java framework that provides extra services at the Java JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment Improving the compatibility with the original database is the premise of providing incremental services on it. The compatibility between SQL dialect and database protocol is the key point to improve node’s access to the database, so that the database can ensure sufficient resources to provide services for other Apache ShardingSphere nodes. Request Limit In the face of overload requests, open request

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 parser and storage adapter, corresponding to the way in which Apache Shard‐ ingSphere provides services by database protocol, the way in which SQL dialect operates data, and the database type that interacts 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 jar and requires no extra deployment

lightweight Java framework that provides extra services at the Java JDBC layer. With the client end connecting directly to the database, it provides services in the form of a jar and requires no extra deployment Improving the compatibility with the original database is the premise of providing incremental services on it. The compatibility between SQL dialect and database protocol is the key point to improve node’s access to the database, so that the database can ensure sufficient resources to provide services for other Apache ShardingSphere nodes. Request Limit In the face of overload requests, open request

进行了“大爆炸”升级，涉及大量复杂情况。 ShardingSphere 的 XA 分布式事务尚未在 Spring Boot OSS 3 上就绪，此限制同样适用于其他基于 Jakarta EE 9+ 的 Web Framework，如 Quarkus 3，Micronaut Framework 4 和 Helidon 3。 用户仅需要配置如下。 分片为例： 1. 实现 `ShardingAlgorithm` 接口定义的算法实现类。 2. 在项目 `resources` 目录下创建 `META-INF/services` 目录。 3. 在 `META-INF/services` 目录下新建文件 `org.apache.shardingsphere.sharding.spi. ShardingAlgorithm` 4. 将实现类的全限定类名写入至文件 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.yml 文件进行测试。 version: "3.8" services: apache-shardingsphere-proxy-native: image: ghcr.io/apache/shardingsphere-proxy-native:latest

进行了“大爆炸”升级，涉及大量复杂情况。 ShardingSphere 的 XA 分布式事务尚未在 Spring Boot OSS 3 上就绪，此限制同样适用于其他基于 Jakarta EE 9+ 的 Web Framework，如 Quarkus 3，Micronaut Framework 4 和 Helidon 3。 用户仅需要配置如下。 分片为例： 1. 实现 `ShardingAlgorithm` 接口定义的算法实现类。 2. 在项目 `resources` 目录下创建 `META-INF/services` 目录。 3. 在 `META-INF/services` 目录下新建文件 `org.apache.shardingsphere.sharding.spi. ShardingAlgorithm` 4. 将实现类的全限定类名写入至文件 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.yml 文件进行测试。 version: "3.8" services: apache-shardingsphere-proxy-native: image: ghcr.io/apache/shardingsphere-proxy-native:latest