[Question] How to check hugegraph node(role) status like master-worker?

[hexuxu110]

Problem Type (问题类型)

others (please edit later)

Before submit

• 我已经确认现有的 Issues 与 FAQ 中没有相同 / 重复问题 (I have confirmed and searched that there are no similar problems in the historical issue and documents)

Environment (环境信息)

• Server Version: 1.0.0 (Apache Release Version)
• Backend: RocksDB x nodes, HDD or SSD
• OS: xx CPUs, xx G RAM, Ubuntu 2x.x / CentOS 7.x
• Data Size: xx vertices, xx edges

Your Question (问题描述)

如何查看hugegraph 主从同步数据情况

Vertex/Edge example (问题点 / 边数据举例)

如何查看hugegraph 主从同步数据情况

Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)

如何查看hugegraph 主从同步数据情况

[dosubot]

在HugeGraph中，虽然没有直接的方法来查看主从同步数据情况，但您可以通过ServerInfoManager类的相关方法和属性来间接获取同步状态的信息。这包括检查服务器的角色（主或从）、它们是否存活，以及心跳机制来确保节点间的正常通信。您可以通过以下方式来推断同步状态：

1. 检查服务器角色和状态：使用selfIsMaster()方法来确认当前节点是否为主节点，并通过heartbeat()方法来更新和检查服务器的存活状态。
2. 心跳机制：定期的心跳更新显示节点间的通信是正常的，这是数据同步可能正常进行的一个好指标。
3. 服务器信息：通过serverInfo(Id serverId)和allServerInfos()方法，您可以获取特定服务器或所有服务器的信息，进而评估集群的整体健康和同步状态。
4. 负载和任务分配：方法如pickWorkerNode(Collection<HugeServerInfo> servers, HugeTask<?> task)和decreaseLoad(int load)提供了关于集群中任务和负载分配的信息，这对于维持同步非常重要。

通过这些方法，您可以获得关于HugeGraph主从同步状态的全面视图。更多细节和代码示例可以在ServerInfoManager.java中找到。

Details

Sources

• hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/task/ServerInfoManager.java

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[imbajin]

U could refer this #2265 to check more latest info about distributed store (if u want to use Raft + RocksDB mode)

[github-actions]

Due to the lack of activity, the current issue is marked as stale and will be closed after 20 days, any update will remove the stale label