es 搜索提示词 es自动补全搜索热词

目录

🔥本文简要🔥

 🍓一、什么是自动补全

🍓二、ES实现原理

🍓三、实现方式

🌈3.1、Completion Suggester 实现

🌈3.2、例子

🌵3.2.1、定义 Mapping，使⽤ “completion” type

🌵3.2.2、索引数据

🌵3.2.3、运⾏ “suggest” 查询，得到搜索建议。

🌵3.2.4、结果

🍓四、Context Suggester带上下文的推荐

🌈4.1、例子

🌵4.1.1、定制⼀个 Mapping 索引数据

🌵4.1.2、并且为每个⽂档加⼊ Context 信息

🌵4.1.3、结合 Context 进⾏ Suggestion 查询

🌵4.1.4、结果

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 🍓一、什么是自动补全

随用户输入，给与提示信息，如下图：

🍓二、ES实现原理

⽤户每输⼊⼀个 字符，就需要即时发送⼀个查询请求到后段查找匹配项。

对性能要求⽐较苛刻。Elasticsearch 采⽤FST，FST 会被 ES 整个加载进内存， 速度很快。

🍓三、实现方式

🌈3.1、Completion Suggester 实现

1. 定义 Mapping，使⽤ “completion” type
2. 索引数据
3. 运⾏ “suggest” 查询，得到搜索建议。

🌈3.2、例子

🌵3.2.1、定义 Mapping，使⽤ “completion” type

# 设置mapping
PUT inputcompletion
{
  "mappings": {
        "properties": {
          "input_completion": {
            "type": "completion"
          }
        }
  }
}

🌵3.2.2、索引数据

POST inputcompletion/_doc/_bulk
{ "index" : { } }
{ "input_completion": "elasticsearch 教程"}
{ "index" : { } }
{ "input_completion": "elasticsearch api 中文"}
{ "index" : { } }
{ "input_completion": "elasticsearch"}

🌵3.2.3、运⾏ “suggest” 查询，得到搜索建议。

POST inputcompletion/_doc/_search?pretty
{
  "size": 0,
  "suggest": {
    "input-suggester": {
      "prefix": "ela",
      "completion": {
        "field": "input_completion"
      }
    }
  }
}

🌵3.2.4、结果

"suggest" : {
  "input-suggester" : [
    {
      "text" : "ela",
      "offset" : 0,
      "length" : 3,
      "options" : [
        {
          "text" : "elasticsearch",
          "_index" : "inputcompletion",
          "_type" : "_doc",
          "_id" : "FbaX5n0Bj82ZOUZeDDzH",
          "_score" : 1.0,
          "_source" : {
            "input_completion" : "elasticsearch"
          }
        },
        {
          "text" : "elasticsearch api 中文",
          "_index" : "inputcompletion",
          "_type" : "_doc",
          "_id" : "FLaX5n0Bj82ZOUZeDDzH",
          "_score" : 1.0,
          "_source" : {
            "input_completion" : "elasticsearch api 中文"
          }
        },
        {
          "text" : "elasticsearch 教程",
          "_index" : "inputcompletion",
          "_type" : "_doc",
          "_id" : "E7aX5n0Bj82ZOUZeDDzH",
          "_score" : 1.0,
          "_source" : {
            "input_completion" : "elasticsearch 教程"
          }

🍓四、Context Suggester带上下文的推荐

例如：再手机品类下搜索，小米提示小米手机，再食品下，提示真空小米

定义两种类型的 Context

Category – 任意的字符串

Geo – 地理位置信息

实现 Context Suggester 的具体步骤

1.定制⼀个 Mapping 索引数据

2.并且为每个⽂档加⼊ Context 信息

3.结合 Context 进⾏ Suggestion 查询

🌈4.1、例子

🌵4.1.1、定制⼀个 Mapping 索引数据

DELETE inputcompletion

PUT inputcompletion
{
  "mappings": {
        "properties": {
          "input_completion": {
            "type": "completion",
            "contexts":[{
              "type":"category",
              "name":"goods_category"
            }]
          }
        }
  }
}

🌵4.1.2、并且为每个⽂档加⼊ Context 信息

POST inputcompletion/_doc
{
  "comment":"小米手机",
  "input_completion":{
    "input":["小米"],
    "contexts":{
      "goods_category":"手机"
    }
  }
}

POST inputcompletion/_doc
{
  "comment":"真空小米",
  "input_completion":{
    "input":["小米"],
    "contexts":{
      "goods_category":"食品"
    }
  }
}

🌵4.1.3、结合 Context 进⾏ Suggestion 查询

POST inputcompletion/_search
{
  "suggest": {
    "MY_SUGGESTION": {
      "prefix": "小米",
      "completion":{
        "field":"input_completion",
        "contexts":{
          "goods_category":"食品"
        }
      }
    }
  }
}

🌵4.1.4、结果

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 0,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "suggest" : {
    "MY_SUGGESTION" : [
      {
        "text" : "小米",
        "offset" : 0,
        "length" : 2,
        "options" : [
          {
            "text" : "小米",
            "_index" : "inputcompletion",
            "_type" : "_doc",
            "_id" : "F7aZ5n0Bj82ZOUZepzxT",
            "_score" : 1.0,
            "_source" : {
              "comment" : "真空小米",
              "input_completion" : {
                "input" : [
                  "小米"
                ],
                "contexts" : {
                  "goods_category" : "食品"
                }
              }
            },
            "contexts" : {
              "goods_category" : [
                "食品"
              ]
            }
          }
        ]
      }
    ]
  }
}