Elasticsearch study notes <2>

es 语法
查询 id  10078 到 10576 并且name 字段包含李的
post  /company/typedemo1/_search

{
  "query": {
    "bool": {
      "must": [
        {
          "range": {
            "id": {
              "from": "10078",
              "to": "10576"
            }
          }
        },
        {
          "term": {
            "name": "李"    "bool": {  "query": {{post of Wang or Li /company/typedemo1/_searchThe query id is greater than 2999000 and the name field contains the}  }    }      ]        }
          }













      "must": [
        {
          "range": {
            "id": {
              "gt": "2999000"
            }
          }
        },
        {
          "terms": {
            "name": [
              "李",
              "王"
            ]
          }
        }
      ]
    }
  }
}



查询 id  等于  271315046
post  /company/typedemo1/_search
{
  "query": {
    "query_string": {
      "fields": [
        "id"
      ],
      "query": 271315046
    }
  }
}



Query name contains Wang or Li's and posts in descending order by id
/company/typedemo1/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "query_string": {
            "default_field": "name",
            " query": "Wang Li"
          }
        }
      ]
    }
  },
  "sort": [
    {
      "id": {
        "order": "desc"
      }
    }
  ]
} The



query name is equal to Wang and the name field is highlighted. Take the first 20 data
post /company/typedemo1/_search
{
  "query":{
    "term": {
      "name": "王"
    }
  },
  "from": 0,
  "size": 20,
  "highlight": {
    "pre_tags": [
      "<tag1>",
      "<tag2>"
    ],
    "post_tags": [
      "</tag1>",
      "</tag2>"
    ],
    "fields": {
      "name": {}
    }
  }