Sharding‐ SphereDataSource object according to YAML configuration, which can reduce unnecessary coding for users. Parameters rules: - !SHARDING tables: # Sharding table configuration ShardingSphereDataSource object according to the YAML configuration, which reduces unnec‐ essary coding for users. Parameters Static Readwrite-splitting rules: - !READWRITE_SPLITTING dataSources: create the ShardingSphereDataSource object according to the YAML configuration, reducing unnecessary coding work for users. Parameters rules: - !READWRITE_SPLITTING dataSources: replica_ds: dynamicStrategy:

Sharding‐ SphereDataSource object according to YAML configuration, which can reduce unnecessary coding for users. Parameters rules: - !SHARDING tables: # Sharding table configuration ShardingSphereDataSource object according to the YAML configuration, which reduces unnec‐ essary coding for users. Parameters Static Readwrite-splitting rules: - !READWRITE_SPLITTING dataSources: create the ShardingSphereDataSource object according to the YAML configuration, reducing unnecessary coding work for users. Parameters rules: - !READWRITE_SPLITTING dataSources: replica_ds: dynamicStrategy:

the non‐functional requirements such as jobs scale out, so that they can focus more on business coding; At the same time, it can release operators too, so that they do not have to worry about jobs high Apache ShardingSphere ElasticJob document C hi ld no de na me E p h e m e r a l n o d e Description el ec ti on :r aw ‐l at ex :ˋ i ns ta nc eˋ Y E S The IP address of the mas‐ ter node server.Once the require developers to weave business logic by implementing interfaces; Type‐based jobs don’t need coding, just need to provide the corresponding configuration. The method parameter shardingContext of

Sharding‐ SphereDataSource object according to YAML configuration, which can reduce unnecessary coding for users. Parameters rules: - !SHARDING tables: # Sharding table configuration the ShardingSphereDataSource object according to the YAML configuration, which reduces unnecessary coding for users. Parameters rules: - !BROADCAST tables: # Broadcast tables - - ShardingSphereDataSource object according to the YAML configuration, which reduces unnec‐ essary coding for users. Parameters Readwrite-splitting rules: - !READWRITE_SPLITTING dataSources:

(+) Collec‐ tion Sharding table rules • autoTables (+) Coll ec‐ tion Sharding automatic ta‐ ble rules • bind ingTableGroups Party Components Refer to Supported Third Party Components for details. 1. Use SPI methods in logic coding and put the generated jar package to the lib folder of ShardingSphere‐Proxy. 2. Follow Configuration did not the IDEA index the generated codes? Answer: ShardingSphere uses lombok to enable minimal coding. For more details about using and installment, please refer to the official website of lombok.

(+) Collec‐ tion Sharding table rules • autoTables (+) Coll ec‐ tion Sharding automatic ta‐ ble rules • bind ingTableGroups did not the IDEA index the generated codes? Answer: ShardingSphere uses lombok to enable minimal coding. For more details about using and installment, please refer to the official website of lombok. too long and how to solve it? Answer: To ensure the readability of source code,the ShardingSphere Coding Specification requires that the naming of classes,methods and variables be literal and avoid abbreviations

(+) Collec‐ tion Sharding table rules • autoTables (+) Coll ec‐ tion Sharding automatic ta‐ ble rules • bind ingTableGroups Party Components Refer to Supported Third Party Components for details. 1. Use SPI methods in logic coding and put the generated jar package to the lib folder of ShardingSphere‐Proxy. 2. Follow Configuration did not the IDEA index the generated codes? Answer: ShardingSphere uses lombok to enable minimal coding. For more details about using and installment, please refer to the official website of lombok.

Sharding‐ SphereDataSource object according to YAML configuration, which can reduce unnecessary coding for users. Parameters rules: - !SHARDING tables: # Sharding table configuration the ShardingSphereDataSource object according to the YAML configuration, which reduces unnecessary coding for users. Parameters rules: - !BROADCAST tables: # Broadcast tables - - ShardingSphereDataSource object according to the YAML configuration, which reduces unnec‐ essary coding for users. Parameters Readwrite-splitting rules: - !READWRITE_SPLITTING dataSourceGroups:

(+) Collec‐ tion Sharding table rules • autoTables (+) Coll ec‐ tion Sharding automatic ta‐ ble rules • bind ingTableGroups did not the IDEA index the generated codes? Answer: ShardingSphere uses lombok to enable minimal coding. For more details about using and installment, please refer to the official website of lombok. too long and how to solve it? Answer: To ensure the readability of source code,the ShardingSphere Coding Specification requires that the naming of classes,methods and variables be literal and avoid abbreviations

keep-alive-cron: '0/5 * * * * ?' discoveryTypes: mgr: type: MySQL.MGR props: group-name: 558edd3c-02ec-11ea-9bb3-080027e39bd2 相关参考 • 高可用核心特性 • JAVA API：高可用配置 • Spring Boot Starter：高可用配置 • Spring 命名空间：高可用配置 keep-alive-cron: '0/5 * * * * ?' discoveryTypes: mgr: type: MySQL.MGR props: group-name: 558edd3c-02ec-11ea-9bb3-080027e39bd2 - !ENCRYPT encryptors: aes_encryptor: type: AES props: aes-key-value: discoveryTypes = new HashMap<>(1， 1); Properties props = new Properties(); props.put("group-name", "558edd3c-02ec-11ea-9bb3-080027e39bd2"); discoveryTypes.put("mgr", new AlgorithmConfiguration("MGR", props)); return