self‐incrementing sequences of Oracle, etc. After data sharding, it is very tricky to generate global unique primary keys for different data nodes. Self‐incrementing keys between different ac‐ tual scenario. However, in distributed scenarios, traditional database solutions cannot manage and control global transactions, and users may find data inconsistency on multiple database nodes. ShardingSphere Procedure 1. Configure data sharding rules in YAML files, including data source, sharding rules, and global attributes and other configuration items. 2. Call createDataSource method of the object YamlSh

self‐incrementing sequences of Oracle, etc. After data sharding, it is very tricky to generate global unique primary keys for different data nodes. Self‐incrementing keys between different ac‐ tual scenario. However, in distributed scenarios, traditional database solutions cannot manage and control global transactions, and users may find data inconsistency on multiple database nodes. ShardingSphere Procedure 1. Configure data sharding rules in YAML files, including data source, sharding rules, and global attributes and other configuration items. 2. Call createDataSource method of the object YamlSh

`branch_id` BIGINT(20) NOT NULL COMMENT 'branch transaction id', `xid` VARCHAR(100) NOT NULL COMMENT 'global transaction id', `context` VARCHAR(128) NOT NULL COMMENT 'undo_log context,such as serialization' Items’Description Parameters Global parameters Name Description V a l u e global.reso urces. limits The resources limits for the ShardingSphere‐Proxy, MySQL, ZooKeeper. containers ˋ global.resour ces.requests` WRITE_SPLITTING READ RESOURCES 5.2. ShardingSphere-Proxy 200 Apache ShardingSphere document, v5.1.1 Global Rule Statement Function Example SHOW AUTHORITY RULE Query authority rule config‐ uration SHOW

synchronization of policies and rules between different nodes also require us to design a set of global event notification mechanisms and distributed coordination lock mechanisms for exclusive operations database access object, to distinguish different database access instances. namespace ├──rules # Global rule configuration ├──props # Properties configuration ├──metadata # Metadata configuration ├ .. ├ ├ ├──primary ├ ├ ├ ├──${schema_2.ds_0} ├ ├ ├ ├──${schema_2.ds_1} ├ ├ ├ ├──.... /rules global rule configurations，including configure the username and password for ShardingSphere‐Proxy. - !AUTHORITY

`branch_id` BIGINT(20) NOT NULL COMMENT 'branch transaction id', `xid` VARCHAR(100) NOT NULL COMMENT 'global transaction id', `context` VARCHAR(128) NOT NULL COMMENT 'undo_log context,such as serialization' DWRITE_SPLITTING READ RESOURCES 5.2. ShardingSphere-Proxy 205 Apache ShardingSphere document, v5.1.2 Global Rule Statement Function Example SHOW AUTHORITY RULE Query authority rule config‐ uration SHOW node changed watcher GlobalAckChangedWatcher Global ack changed watcher GlobalLocksChangedWatcher Global locks changed watcher GlobalRuleChangedWatcher Global rule changed watcher MetaDataChangedWatcher

transaction life cycle. The initiator of global transaction is TM, which is in charge of begin and commit/rollback of global transaction. The participant of global transaction is RM, which is in charge Seata managed distributed transaction: 1. TM asks TC to begin a new global transaction. TC generates a XID representing the global trans‐ action. 2. XID is propagated through micro‐services’invoke chain corresponding global transaction of XID to TC. 4. TM asks TC for commit or rollback the corresponding global transaction of XID. 5. TC drives all branch transactions under the corresponding global transaction

Binary Distribution ‐ Docker ‐ Helm 2. Rule configuration. Edit %SHARDINGSPHERE_PROXY_HOME%/conf/global.yaml. Edit %SHARDINGSPHERE_PROXY_HOME%/conf/database-xxx.yaml. %SHARDINGSPHERE_PROXY_HOME% is the self‐incrementing sequences of Oracle, etc. After data sharding, it is very tricky to generate global unique primary keys for different data nodes. Self‐incrementing keys between different ac‐ tual scenario. However, in distributed scenarios, traditional database solutions cannot manage and control global transactions, and users may find data inconsistency on multiple database nodes. ShardingSphere

self‐incrementing sequences of Oracle, etc. After data sharding, it is very tricky to generate global unique primary keys for different data nodes. Self‐incrementing keys between different ac‐ tual scenario. However, in distributed scenarios, traditional database solutions cannot manage and control global transactions, and users may find data inconsistency on multiple database nodes. ShardingSphere Procedure 1. Configure data sharding rules in YAML files, including data source, sharding rules, and global attributes and other configuration items. 2. Call createDataSource method of the object YamlSh

"Beijing"} Use Java API Job configuration ElasticJob uses the builder mode to create job configuration objects. The code example is as follows: JobConfiguration jobConfig = JobConfiguration.newBuilder("myJob" Through the way of DI (Dependency Injection), developers can easily use data sources and other objects that managed by the Spring container in their jobs, and use placeholders to get values from property cleaning task. This type of task is simple to implement, and there is no need to consider whether the global distributed task is completed. You should try to use this type of listener. public class MyJobListener

避免了几乎所有的 JDBC 代码和手动设置参数以 及获取结果集。MyBatis 可以对配置和原生Map使用简单的 XML 或注解，将接口和 Java 的 POJOs(Plain Old Java Objects,普通的 Java对象)映射成数据库中的记录。 帮助改进文档 帮助改进文档... 不管你以何种方式发现了文档的不足，或是丢失对某一特性的描述，那么你能做的最好的事情莫过于去研究它并把文档写出来。 resultType 属性 指定。这在很多情况下是有用的,但是 HashMap 不能很好描述一个领域模型。那样你的应 用程序将会使用 JavaBeans 或 POJOs(Plain Old Java Objects,普通 Java 对象) Your visitors can save your web pages as PDF in one click with http://pdfmyurl.com! MyBatis will enable or disable the automapping for this ResultMap. This attribute overrides the global autoMappingBehavior. Default: unset. 最佳实践 最佳实践 最佳实践 最佳实践 通常逐步建立结果映射。单元测试的真正帮助在这里。如果你尝试创建 一次创建一个向上面示例那样的巨大的结果映射