ES 索引改名_es 索引支持改命吗

在Elasticsearch中，直接重命名索引并不是一个直接支持的操作。但是，可以通过以下步骤间接实现索引的重命名：

1. 创建新索引：首先，你需要创建一个新的索引，这个索引将是你原索引的新名字。

2. 复制数据：使用Reindex API将数据从旧索引复制到新索引。

3. 删除旧索引：确认新索引创建成功并验证数据完整后，可以安全地删除旧索引。

4. 更新应用配置：最后，确保你的应用程序或其他依赖于这个索引的服务指向新的索引名称。

以下是如何使用Curl命令执行上述步骤的示例：

创建新索引：

Bash

PUT /new_index_name
{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  }
}

复制数据：

Bash

POST _reindex
{
  "source": {
    "index": "old_index_name"
  },
  "dest": {
    "index": "new_index_name"
  }
}

删除旧索引：

Bash

1DELETE /old_index_name

请注意，这些操作应该在低峰时段执行，以减少对生产环境的影响。同时，在删除旧索引之前，一定要确保新索引中的数据完整无误。

此外，Elasticsearch 7.10及以上版本提供了_migrate API，可以更方便地进行索引的重命名和迁移，但具体的使用方法和注意事项需要参考官方文档。不过，截至我最后一次更新知识（2023年初），直接的索引重命名API并未在文档中提及，因此以上方法仍然适用。

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备份流程

PUT /content_erp_nlp_help_back
{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  }
}
 
POST _reindex
{
  "source": {
    "index": "content_erp_nlp_help"
  },
  "dest": {
    "index": "content_erp_nlp_help_back"
  }
}
 
DELETE /content_erp_nlp_help
 
 
 
DELETE /content_erp_nlp_help
 
PUT /content_erp_nlp_help
 
PUT _template/content_erp_nlp_help
{
  "index_patterns": [
    "content_vector*"
  ],
  "settings": {
    "analysis": {
      "analyzer": {
        "my_ik_analyzer": {
          "type": "ik_smart"
        }
      }
    },
    "number_of_shards": 1
  },
  "mappings": {
    "properties": {
      "id": {
        "type": "long"
      },
      "content": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "content_vector": {
        "type": "dense_vector",
        "similarity": "cosine",
        "index": true,
        "dims": 768,
        "element_type": "float",
        "index_options": {
          "type": "hnsw",
          "m": 16,
          "ef_construction": 128
        }
      },
      "content_answer": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "title": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "param": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "type": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "questionId": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "createTime": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "updateTime": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "hitCount": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "answerPattern": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "nearQuestionVOList": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "questionEnclosureVOList": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "questionRelationVOList": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      },
      "rmsRoutingAnswerVos": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_smart"
      }
    }
  }
}
 
POST _reindex
{
  "source": {
    "index": "content_erp_nlp_help_test"
  },
  "dest": {
    "index": "content_erp_nlp_help"
  }
}