dosubot[bot] commented on issue #2835:
URL: 
https://github.com/apache/incubator-hugegraph/issues/2835#issuecomment-3095537422

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   你的问题很可能是由于多台 HugeGraph Server 节点之间的 schema 缓存不同步导致的,尤其是在高并发和 nginx 
负载均衡的分布式环境下。虽然 schema 已经写入 Cassandra,但每个 server 节点有自己的内存 schema 缓存,如果 schema 
变更(比如新增 edge label)后没有及时同步到所有节点,就会出现某些节点报 “Undefined link of edge label” 
的错误(即找不到边类型或顶点类型的定义)[相关源码分析](https://github.com/apache/incubator-hugegraph/blob/a53af864b31f803780a1db31cb20d3d94d5d34fc/hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/schema/SchemaManager.java)。
   
   建议你重点排查以下几点:
   
   1. **所有 HugeGraph Server 节点的配置文件(如 hugegraph.properties)必须完全一致**,尤其是 
raft.group_peers 参数,确保所有节点都在集群配置中,端口和 IP 无误,否则会导致 schema 
或数据不同步。[社区类似案例](https://github.com/apache/incubator-hugegraph/issues/2810)
   2. **schema 变更(如建点、建边类型)建议只在一个节点上完成,变更后重启所有 server 节点或等待一段时间,确保所有节点的 schema 
缓存都已刷新。**
   3. **高并发写入前,确保 schema 已经稳定,不要在并发写入期间频繁变更 schema。**
   4. **检查各节点日志,关注 raft、schema 相关的报错或警告,排查是否有节点未能正常加入集群或 schema 同步失败。**
   
   如果问题依然存在,可以尝试重启所有 HugeGraph Server 节点,或在所有节点上手动刷新 schema 缓存(如通过管理接口触发 schema 
reload,具体可参考官方文档或社区 issue 经验)。
   
   这种问题在分布式部署下较为常见,核心就是 schema 变更后各节点的缓存一致性问题。只要保证 schema 变更同步、配置一致,通常可以避免。
   
   
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