docker下迁移elasticsearch的问题与解决方案

直接上图，大致就是这样的操作

数据挂载

对于服务器A下的es如果你没有在启动容器的时候将数据挂载出来，就需要先进行docker cp，将容器中的数据拷贝到服务器中，/usr/share/elasticsearch/data

将取出的数据，或者说挂载的数据，传输到另外一个服务器中，执行启动命令

警告：这里最好版本不要变动，以及启动时候的命令也和原服务器一致

至此迁移差不多就完成了。

报错解决

权限问题

java.lang.IllegalStateException: failed to obtain node locks, tried [[/usr/share/elasticsearch/data]] with lock id [0]; maybe these locations are not writable or multiple nodes were started without increasing [node.max_local_storage_nodes] (was [1])?
Likely root cause: java.nio.file.NoSuchFileException: /usr/share/elasticsearch/data/nodes/0/node.lock
        at java.base/sun.nio.fs.UnixException.translateToIOException(UnixException.java:92)
        at java.base/sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:106)
        at java.base/sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:111)
        at java.base/sun.nio.fs.UnixPath.toRealPath(UnixPath.java:825)
        at org.apache.lucene.store.NativeFSLockFactory.obtainFSLock(NativeFSLockFactory.java:108)
        at org.apache.lucene.store.FSLockFactory.obtainLock(FSLockFactory.java:41)
        at org.apache.lucene.store.BaseDirectory.obtainLock(BaseDirectory.java:45)
        at org.elasticsearch.env.NodeEnvironment$NodeLock.<init>(NodeEnvironment.java:229)
        at org.elasticsearch.env.NodeEnvironment.<init>(NodeEnvironment.java:298)
        at org.elasticsearch.node.Node.<init>(Node.java:427)
        at org.elasticsearch.node.Node.<init>(Node.java:309)
        at org.elasticsearch.bootstrap.Bootstrap$5.<init>(Bootstrap.java:234)
        at org.elasticsearch.bootstrap.Bootstrap.setup(Bootstrap.java:234)
        at org.elasticsearch.bootstrap.Bootstrap.init(Bootstrap.java:434)
        at org.elasticsearch.bootstrap.Elasticsearch.init(Elasticsearch.java:166)
        at org.elasticsearch.bootstrap.Elasticsearch.execute(Elasticsearch.java:157)
        at org.elasticsearch.cli.EnvironmentAwareCommand.execute(EnvironmentAwareCommand.java:77)
        at org.elasticsearch.cli.Command.mainWithoutErrorHandling(Command.java:112)
        at org.elasticsearch.cli.Command.main(Command.java:77)
        at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:122)
        at org.elasticsearch.bootstrap.Elasticsearch.main(Elasticsearch.java:80)
For complete error details, refer to the log at /usr/share/elasticsearch/logs/docker-cluster.log

​ 1. 节点锁文件丢失：/usr/share/elasticsearch/data/nodes/0/node.lock 文件不存在。可能是因为文件未被正确创建，或者数据目录的权限不足，导致 Elasticsearch 无法写入。

2.	**目录或文件权限问题**：Elasticsearch 容器可能没有足够的权限访问或修改 /usr/share/elasticsearch/data 目录下的文件。

解决如下：

执行以下命令，重新启动即可

sudo chown -R 1000:1000 /acowbo/es   # 假设你将 /acowbo/es 挂载到 /usr/share/elasticsearch/data
sudo chmod -R 775 /acowbo/es

节点故障

2024-10-29 02:15:31.912 ERROR 1 --- [io-11919-exec-4] o.a.c.c.C.[.[.[/].[dispatcherServlet]    : Servlet.service() for servlet [dispatcherServlet] in context with path [] threw exception [Request processing failed; nested exception is ElasticsearchStatusException[Elasticsearch exception [type=search_phase_execution_exception, reason=all shards failed]]] with root cause

根据错误日志中的信息，Elasticsearch 报告了 all shards failed 和 no_shard_available_action_exception 错误。这通常表示 Elasticsearch 集群中有一个或多个分片不可用

1. 执行curl -X GET "http://127.0.0.1:9200/_cluster/health?pretty",这里你换为自己的ip和端口

   {
     "cluster_name" : "docker-cluster",
     "status" : "red",
     "timed_out" : false,
     "number_of_nodes" : 1,
     "number_of_data_nodes" : 1,
     "active_primary_shards" : 17,
     "active_shards" : 17,
     "relocating_shards" : 0,
     "initializing_shards" : 0,
     "unassigned_shards" : 2,
     "delayed_unassigned_shards" : 0,
     "number_of_pending_tasks" : 0,
     "number_of_in_flight_fetch" : 0,
     "task_max_waiting_in_queue_millis" : 0,
     "active_shards_percent_as_number" : 89.47368421052632
   }
   

Elasticsearch 集群的 status 为 red，这表示集群中有一些分片处于未分配状态，导致集群不能正常工作。特别是，你的集群中有 2 个未分配的分片（unassigned shards），这可能导致你遇到的 all shards failed 错误。

2. 执行curl -X GET "http://156.224.28.178:9200/_cat/shards?v&pretty"获取详细信息

3. 查看分片未分配的原因

   curl -X GET "http://156.224.28.178:9200/_cluster/allocation/explain?pretty" -H 'Content-Type: application/json' -d '{
     "index": "acowbo_new",
     "shard": 0,
     "primary": true
   }'
   

4. 结果如下

   {
     "index" : "acowbo_new",
     "shard" : 0,
     "primary" : true,
     "current_state" : "unassigned",
     "unassigned_info" : {
       "reason" : "ALLOCATION_FAILED",
       "at" : "2024-10-29T02:26:16.215Z",
       "failed_allocation_attempts" : 5,
       "details" : "failed shard on node [GoDPmTuqSBavpUAHkq6yHQ]: failed to create index, failure IllegalArgumentException[Custom Analyzer [ik_analyzer] failed to find tokenizer under name [ik_smart]]",
       "last_allocation_status" : "no"
     },
     "can_allocate" : "yes",
     "allocate_explanation" : "can allocate the shard",
     "target_node" : {
       "id" : "GoDPmTuqSBavpUAHkq6yHQ",
       "name" : "47d6ff15662f",
       "transport_address" : "172.20.0.8:9300",
       "attributes" : {
         "ml.machine_memory" : "3973206016",
         "xpack.installed" : "true",
         "transform.node" : "true",
         "ml.max_open_jobs" : "512",
         "ml.max_jvm_size" : "268435456"
       }
     },
     "allocation_id" : "kGCNR2E2SjuOTRow7OtUEA",
     "node_allocation_decisions" : [
       {
         "node_id" : "GoDPmTuqSBavpUAHkq6yHQ",
         "node_name" : "47d6ff15662f",
         "transport_address" : "172.20.0.8:9300",
         "node_attributes" : {
           "ml.machine_memory" : "3973206016",
           "xpack.installed" : "true",
           "transform.node" : "true",
           "ml.max_open_jobs" : "512",
           "ml.max_jvm_size" : "268435456"
         },
         "node_decision" : "yes",
         "store" : {
           "in_sync" : true,
           "allocation_id" : "kGCNR2E2SjuOTRow7OtUEA"
         }
       }
     ]
   }
   

从错误信息来看，分片未能分配的原因是由于自定义分析器 ik_analyzer 未能找到名为 ik_smart 的分词器。这通常意味着在 Elasticsearch 的设置中配置的 ik_analyzer 依赖于一个未安装或未正确配置的分词器。

解决如下：

1. 进入容器docker exec -it 容器名/容器id /bin/bash

2. 执行bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.16.2/elasticsearch-analysis-ik-7.16.2.zip

这里需要看你的es是什么版本的，就安装什么版本的插件