docker下遷移elasticsearch問題及解決

直接上圖，大致就是這樣的操作

數(shù)據(jù)掛載

對于服務器A下的es如果你沒有在啟動容器的時候?qū)?shù)據(jù)掛載出來，就需要先進行docker cp，將容器中的數(shù)據(jù)拷貝到服務器中，/usr/share/elasticsearch/data

將取出的數(shù)據(jù)，或者說掛載的數(shù)據(jù)，傳輸?shù)搅硗庖粋€服務器中，執(zhí)行啟動命令

警告：這里最好版本不要變動，以及啟動時候的命令也和原服務器一致

至此遷移差不多就完成了。

報錯解決

權限問題

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. 節(jié)點鎖文件丟失：/usr/share/elasticsearch/data/nodes/0/node.lock 文件不存在。可能是因為文件未被正確創(chuàng)建，或者數(shù)據(jù)目錄的權限不足，導致 Elasticsearch 無法寫入。

2.  **目錄或文件權限問題**：Elasticsearch 容器可能沒有足夠的權限訪問或修改 /usr/share/elasticsearch/data 目錄下的文件。

解決如下：

執(zhí)行以下命令，重新啟動即可

sudo chown -R 1000:1000 /acowbo/es   # 假設你將 /acowbo/es 掛載到 /usr/share/elasticsearch/data
sudo chmod -R 775 /acowbo/es

節(jié)點故障

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

根據(jù)錯誤日志中的信息，Elasticsearch 報告了 all shards failed 和 no_shard_available_action_exception 錯誤。

這通常表示 Elasticsearch 集群中有一個或多個分片不可用

1.執(zhí)行

curl -X GET "http://127.0.0.1:9200/_cluster/health?pretty"

這里你換為自己的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 為 red，這表示集群中有一些分片處于未分配狀態(tài)，導致集群不能正常工作。

特別是，你的集群中有 2 個未分配的分片（unassigned shards），這可能導致你遇到的 all shards failed 錯誤。

2.執(zhí)行

curl -X GET "http://156.224.28.178:9200/_cat/shards?v&pretty"

獲取詳細信息

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.結果如下

{
  "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"
      }
    }
  ]
}

從錯誤信息來看，分片未能分配的原因是由于自定義分析器 ik_analyzer 未能找到名為 ik_smart 的分詞器。

這通常意味著在 Elasticsearch 的設置中配置的 ik_analyzer 依賴于一個未安裝或未正確配置的分詞器。

解決如下：

• 進入容器

docker exec -it 容器名/容器id /bin/bash

• 執(zhí)行

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

這里需要看你的es是什么版本的，就安裝什么版本的插件

總結

以上為個人經(jīng)驗，希望能給大家一個參考，也希望大家多多支持腳本之家。

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