一、es客戶端基本操作

版本：5.6.8

一、創建索引index和映射mapping

PUT http://localhost:9200/blog1
{
    "mappings": {
        "article": {
            "properties": {
                "id": {
                    "type": "long",
                    "store": true,
                    "index": "not_analyzed"
                },
                "title": {
                    "type": "text",
                    "store": true,
                    "index": "analyzed",
                    "analyzer": "standard"
                },
                "content": {
                    "type": "text",
                    "store": true,
                    "index": "analyzed",
                    "analyzer": "standard"
                }
            }
        }
    }
}

二、先索引后映射

PUT http://localhost:9200/blog2
POST http://localhost:9200/blog2/article/_mapping
{
    "article": {
        "properties": {
            "id": {
                "type": "keyword"
            },
            "title": {
                "type": "text",
                "analyzer": "standard"
            },
            "content": {
                "type": "text",
                "analyzer": "standard"
            }
        }
    }
}

三、刪除索引

DELETE http://localhost:9200/blog1

四、創建/修改文檔(根據id)

POST http://localhost:9200/blog1/article/1
{
    "id": 1,
    "title": "es",
    "content": "es是一個分布式多用戶能力的全文搜索引擎，基於RESTful web接口，ES是用Java開發的，能夠達到實時搜索，穩定可靠。快速安裝使用方便。"
}

五、刪除文檔

DELETE http://localhost:9200/blog1/article/1

六、根據id查詢文檔

GET http://localhost:9200/blog1/article/1

七、根據querystring查詢

默認支持分詞搜索，所以搜索 "分布式" 或 "分布公式" 都可以搜到這條記錄。

POST http://localhost:9200/blog1/article/_search
{
    "query":{
        "query_string":{
            "default_field": "content",
            "query":"分布式"
        }
    }
}

八、term搜索(精確匹配)

不會做分詞搜索,這時用 "分布公式" 就搜索不到了。使用 "分布式" 也搜索不到,需要自定義分詞策略。

POST http://localhost:9200/blog1/article/_search
{
    "query":{
        "term":{
            "content":"分布"
        }
    }
}

九、查看標准分詞

可以看到分詞結果把每個中文分開了,而 content 的內容中又不存在空格隔開的中文關鍵字,所以搜索不到。

GET http://localhost:9200/_analyze?analyzer=standard&pretty=true&text=分布公式

結果：
{
  "tokens": [
    {
      "token": "分",
      "start_offset": 0,
      "end_offset": 1,
      "type": "<IDEOGRAPHIC>",
      "position": 0
    },
    {
      "token": "布",
      "start_offset": 1,
      "end_offset": 2,
      "type": "<IDEOGRAPHIC>",
      "position": 1
    },
    {
      "token": "公",
      "start_offset": 2,
      "end_offset": 3,
      "type": "<IDEOGRAPHIC>",
      "position": 2
    },
    {
      "token": "式",
      "start_offset": 3,
      "end_offset": 4,
      "type": "<IDEOGRAPHIC>",
      "position": 3
    }
  ]
}