• elasticsearch 常用命令(一)


    索引 搜索 mapping 分词器

    1.创建索引

    http://192.168.65.131:9200/smartom_index?pretty

    2.查看索引:

    http://192.168.65.131:9200/_cat/indices?v

    3.插入数据【这样也就是说创建了一个文档为users】

    http://192.168.65.131:9200/smartom_index/users/101
    {
        "name":"smartom",
        "age":19
    }

    4.精确搜索

    http://192.168.65.131:9200/smartom_index/_search?q=name:smartom

    5.全词搜索

    http://192.168.65.131:9200/smartom_index/_search

    全文索引

    6.全词搜索 term

    term是代表完全匹配,即不进行分词器分析,文档中必须包含整个搜索的词汇

    GET smartom_index/users/_search
    {
      "query":{
        "term":{
          "name":{
            "value":"smartom"
          }
        }
      }
    }

    7.全词搜索 match 全文搜索查询

    分词查询

    GET smartom_index/users/_search
    {
      "query": {
        "match": {
          "name": "我是smartom你是谁"
        }
      }
    }

    分词器analyze

    8.创建一个分词器

    POST _analyze
    {
      "analyzer":"standard",
      "text":"我是smartom你是谁"
    }

    standard

    simple


    过滤器 标记器

    9. 一个标记器【filter?】

    POST _analyze
    {
      "tokenizer":"lowercase",
      "text":"SMARTOM"
    }

    也可以 在tokenizer里面写 standard

    10.一个过滤器:

    POST _analyze
    {
      "tokenizer": "standard",
      "filter": ["lowercase"],
      "text": "我是smartom你是谁"
    }

    11.字符过滤器:[过滤html代码]

    POST _analyze
    {
      "tokenizer": "standard",
      "char_filter": ["html_strip"],
      "text": "woshi<br><b>asdf</b>是"
    }

    12.创建一个过滤器:settings analysis analyzer

    PUT smartom
    {
      "settings": {
        "analysis": {
          "analyzer": {
            "smartom-analyer":{
              "type":"custom",
              "tokenizer":"standard",
               "char_filter":["html_strip"],
               "filter":["lowercase"]
            }
          }
        }
      }
    }

    13.创建仓库:

    前提指定repo路径 elasticsearch.yml path.repo path.repo:["/home/smartom/Desktop/esbak"]

    PUT _snapshot/mybackup
    {
      "type": "fs",
      "settings": {
        "location": "/home/smartom/Desktop/esbak"
      }
    }

    14.备份索引:

    bak1 是备份名称 smartom_index 备份的索引名称

    PUT _snapshot/mybackup/bak1?wait_for_completion=true
    {
      "indices": "smartom_index"
    }

    15.删除索引

    DELETE smartom

    16.关闭索引

    POST smartom_index/_close

    17.恢复索引

    POST _snapshot/mybackup/bak1/_restore?wait_for_completion=true
    {
      "indices": "smartom_index"
    }

    18.查看当前插件

    GET _cat/plugins

    19.查看mapping当前文档 查看文档字段类型?

    GET smartom_index/_mappings

    20.创建mapping

    [刚创建的时候]

    POST /smartom_index/fulltext/_mapping
    {
        "properties": {
            "content": {
                "type": "text",
                "analyzer": "ik_max_word",
                "search_analyzer": "ik_max_word"
            }
        }
    }

    需要导入和导出数据

    删除数据之后 title 用ik分词器进行索引

    PUT smartom_index
    {
        "mappings": {
          "news":{
            "properties": {
                "title": {
                  "type":"text",
                  "analyzer": "ik_max_word"
                }
            }
          }
        }
    }

    21.修改文档中的类型?

    PUT smartom_index/_mapping/users
    {
      "properties": {
        "news": { 
          "type":     "text",
          "fields": {
            "keyword": {
              "type": "keyword",
              "ignore_above": 256
            }
          }
        }
      }

    22.搜索建议

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  • 原文地址:https://www.cnblogs.com/subtract/p/8125065.html
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