11 servers node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 leader node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 5.3 Failover trigger the main server election. Once the main server goes offline, the election is triggered again, and the election process is blocked. Only when the main server election is completed, other tasks There are 5 data sub‐nodes under the job name node, namely config, instances, sharding, servers and leader. config node Job configuration information, stored in YAML format. instances node Job running

. 11 servers 节点 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 leader 节点 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 流程图 . . . . . 以作业一旦创建则不能修改作 业名称，如果修改名称将视为新的作业。作业名称节点下又包含 5 个数据子节点，分别是 config, instances, sharding, servers 和 leader。 config 节点 作业配置信息，以 YAML 格式存储。 instances 节点 作业运行实例信息，子节点是当前作业运行实例的主键。作业运行实例主键由作业运行服务器的 IP 地址 2. 弹性调度 11 Apache ShardingSphere ElasticJob document leader 节点 作业服务器主节点信息，分为 election，sharding 和 failover 三个子节点。分别用于主节点选举，分片和 失效转移处理。 leader 节点是内部使用的节点，如果对作业框架原理不感兴趣，可不关注此节点。 5.2. 弹性调度 12 Apache

stateful storage nodes need to pay attention to data consistency, health detection, primary node election and so on; The stateless compute nodes need to detect the changes of storage nodes, they also need

stateful storage nodes need to pay attention to data consistency, health detection, primary node election and so on; The stateless compute nodes need to detect the changes of storage nodes, they also need

stateful storage nodes need to pay attention to data consistency, health detection, primary node election and so on; The stateless compute nodes need to detect the changes of storage nodes, they also need

stateful storage nodes need to pay attention to data consistency, health detection, primary node election and so on; The stateless compute nodes need to 4.6. HA 56 Apache ShardingSphere document, v5.1