【无标题】es搜索基本操作

一，准备数据

1.创建索引

     PUT /lagou-book/

2.创建mapping

PUT /lagou-book/doc/_mapping
{
   "properties":{
    "description":{
        "type":"text",
        "analyzer":"ik_max_word"
    },
    "name":{
        "type":"text",
        "analyzer":"ik_max_word"
    },
    "price":{
        "type":"float"
    },
    "timestamp":{
        "type":"date",
        "format":"yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
    }
   }
}

3.数据准备

PUT /lagou-book/doc/1
{ 
"name": "lucene",
"description": "Lucene Core is a Java library providing powerful indexing",
"price":100.45,
"timestamp":"2020-08-21 19:11:35"
}



PUT /lagou-book/doc/2
{
"name": "solr",
"description": "Solr is highly scalable providing fully fault tolerant",
"price":320.45,
"timestamp":"2020-07-21 17:11:35"
}


PUT /lagou-book/doc/3
{
  "name": "Hadoop",
"description": "The Apache Hadoop  solr software library is a framework ",
"price":620.45,
"timestamp":"2020-08-22 19:18:35"
}




PUT /lagou-book/doc/4
{ 
"name": "ElasticSearch",
"description": "Elasticsearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力",
"price":999.99,
"timestamp":"2020-08-15 10:11:35"
}

4.查询

     （1）词条搜索

       term 用户查询某个字段包含某些词的文档

GET  /lagou-book/_search
{
  "query": {
    "term": {
      "name": "solr"
    }
  }
}

      (2) terms query 用户指定字段包含多个词语的文档

GET  lagou-book/_search
{
  "query": {
    "terms": {
      "description": ["hadoop","elasticsearch"]
    }
  }
}

      （3）range query 范围搜索

   gte:大于等于;  gt:大于;  lte:小于等于  lt:小于;

   boost:查询权重。boost可以将某个搜索条件的权重加大，此时当这个搜索条件和另一个搜索条件计算score时，搜索条件权重更大的document,score也会更高，当然也就会优先反回来。

GET  lagou-book/_search
{
  "query": {
    "range": {
      "price": {
        "gte": 100,
        "lte": 500
      }
    }
  }
}

GET  /lagou-book/_search
{
  "query": {
    "range": {
      "timestamp": {
        "gte": "18/08/2020",
        "lte": "01/01/2021",
        "format":"dd/MM/yyyy||yyyy"
      }
    }
  }
}

  （4）不为空搜索

    查询指定字段不为空的文档

GET /lagou-book/_search
{
  "query": {
    "exists":
     {
      "field":"name"
     }
  }
}

    (5) ids集合搜索

GET  lagou-book/_search
{
  "query": {
    "ids": {
      "type": "doc",
      "values": [1,3]
    }
  }
}

（6）bool query布尔搜索

       bool查询用bool操作来组合多个字段为一个查询字段，可用的字段：

       must:必须满足

       must:必须满足，但执行的是filter上下文，不参与、不影响评分

       should:或

        must_not：必须不满足     

GET lagou-book/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "description": "solr"
          }
        }
      ],
      "should": {
        "term": {
          "name": "hadoop"
        }
      },
      "must_not":{
        "range":{
           "price":{
             "gte":300,
             "lte":500
           }
        }
      }
    }
  }
}

（7）排序

       7.1 相关性评分排序

      默认情况下，查询返回的结果是按照相关性排序的—最相关的文档排在前面。在es中，相关性由_score表示，默认排序是_score降序排。

GET  lagou-book/_search
{
  "query": {
    "match": {
      "description": "solr"
    }
  },
  "sort": [
    {
      "_score": {
        "order": "asc"
      }
    }
  ]
}

7.2多个字段排序(先按照价格降序排，再按照时间戳生序排)

GET  lagou-book/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "price": {
        "order": "desc"
      },
      "timestamp":{
        "order": "asc"
      }
    }
  ]
}

（8）分页

    size:每页显示多少条

     form:  当前页起始索引, int start = (pageNum - 1) * size

(9)  高亮显示

GET /lagou-book/_search
{
  "query": {
    "match": {
      "description": "solr"
    }
  },
  "highlight": {
    "pre_tags": "<font color='pink'>",
    "post_tags": "</font>",
    "fields": [
      {
        "name": {}
      },
      {
        "description": {}
      }
    ]
  }
}

 pre_tags ：前置标签；

post_tags：后置标签

fields：需要高亮的字段

(10)filter