关于elasticsearch:实践007elasticsearch查询之2Request-Body与DSL查询

33次阅读

共计 4962 个字符,预计需要花费 13 分钟才能阅读完成。

[toc]


实际 007-elasticsearch 查问之 2 -Request Body 与 DSL 查问

1. 查问语句通过 HTTP Request Body 发送给 ES

POST movies/_search?ignore_unavailable=true
{
  "profile": "true",
  "query": {"match_all": {}
  }
}

2. 分页:from+size

POST movies/_search?ignore_unavailable=true
{
  "profile": "true",
  "from": 0,
  "size": 2, 
  "query": {"match_all": {}
  }
}

3. 排序:sort

POST movies/_search?ignore_unavailable=true
{
  "profile": "true",
  "from": 0,
  "size": 5,
  "sort": [
    {"year": "desc"},
    {"title.keyword": "desc"}
  ],
  "query": {"match_all": {}
  }
}

4. source 字段过滤: 只返回须要的列

POST movies/_search?ignore_unavailable=true
{
  "profile": "true",
  "_source": [
    "id",
    "title",
    "year"
  ],
  "from": 0,
  "size": 5,
  "sort": [
    {"year": "desc"},
    {"title.keyword": "desc"}
  ],
  "query": {"match_all": {}
  }
}

反对通配符 *:_"source": ["name*", "desc\*"]

5. script_fields 脚本字段:自加工后果

POST movies/_search
{
  "from": 0,
  "size": 5,
  "sort": [
    {
      "year": {"order": "desc"}
    },
    {
      "title.keyword": {"order": "desc"}
    }
  ],
  "script_fields": {
    "year_and_title": {
      "script": {
        "lang": "painless",
        "source": "doc['year'].value +'->'+ doc['title.keyword'].value"
      }
    }
  },
  "query": {"match_all": {}
  }
}

title=When We First Met; year=2018;

year_and_title=year->title

然而如同_source 数据没了:

{
  "took" : 10,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 9743,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "187717",
        "_score" : null,
        "fields" : {
          "year_and_title" : ["2018->Won't You Be My Neighbor?"]
        },
        "sort" : [
          2018,
          "Won't You Be My Neighbor?"
        ]
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "184015",
        "_score" : null,
        "fields" : {
          "year_and_title" : ["2018->When We First Met"]
        },
        "sort" : [
          2018,
          "When We First Met"
        ]
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "184471",
        "_score" : null,
        "fields" : {
          "year_and_title" : ["2018->Tomb Raider"]
        },
        "sort" : [
          2018,
          "Tomb Raider"
        ]
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "183959",
        "_score" : null,
        "fields" : {
          "year_and_title" : ["2018->Tom Segura: Disgraceful"]
        },
        "sort" : [
          2018,
          "Tom Segura: Disgraceful"
        ]
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "188833",
        "_score" : null,
        "fields" : {
          "year_and_title" : ["2018->The Man Who Killed Don Quixote"]
        },
        "sort" : [
          2018,
          "The Man Who Killed Don Quixote"
        ]
      }
    ]
  }
}

6. match 查问表达式: TermQuery

6.1 TermQuery

POST movies/_search
{
  "query": {
    "match": {"title": "beautiful mind"}
  }
}

后果:蕴含 beautiful 的(16 条),或 蕴含 mind 的(5 条),共(20 条):

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 20,
      "relation" : "eq"
    },
    "max_score" : 13.687479,
    "hits" : [
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "4995",
        "_score" : 13.687479,
        "_source" : {
          "id" : "4995",
          "genre" : [
            "Drama",
            "Romance"
          ],
          "title" : "Beautiful Mind, A",
          "@version" : "1",
          "year" : 2001
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "3912",
        "_score" : 8.723258,
        "_source" : {
          "id" : "3912",
          "genre" : [
            "Comedy",
            "Drama"
          ],
          "title" : "Beautiful",
          "@version" : "1",
          "year" : 2000
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "47404",
        "_score" : 8.576847,
        "_source" : {
          "id" : "47404",
          "genre" : [
            "Adventure",
            "Animation",
            "Comedy",
            "Fantasy",
            "Romance",
            "Sci-Fi"
          ],
          "title" : "Mind Game",
          "@version" : "1",
          "year" : 2004
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "1046",
        "_score" : 7.317063,
        "_source" : {
          "id" : "1046",
          "genre" : [
            "Drama",
            "Romance"
          ],
          "title" : "Beautiful Thing",
          "@version" : "1",
          "year" : 1996
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "94",
        "_score" : 7.317063,
        "_source" : {
          "id" : "94",
          "genre" : [
            "Comedy",
            "Drama",
            "Romance"
          ],
          "title" : "Beautiful Girls",
          "@version" : "1",
          "year" : 1996
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "4242",
        "_score" : 7.317063,
        "_source" : {
          "id" : "4242",
          "genre" : [
            "Comedy",
            "Crime",
            "Drama",
            "Thriller"
          ],
          "title" : "Beautiful Creatures",
          "@version" : "1",
          "year" : 2000
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "4372",
        "_score" : 7.317063,
        "_source" : {
          "id" : "4372",
          "genre" : [
            "Drama",
            "Romance"
          ],
          "title" : "Crazy/Beautiful",
          "@version" : "1",
          "year" : 2001
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "3302",
        "_score" : 7.317063,
        "_source" : {
          "id" : "3302",
          "genre" : ["Comedy"],
          "title" : "Beautiful People",
          "@version" : "1",
          "year" : 1999
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "90353",
        "_score" : 7.317063,
        "_source" : {
          "id" : "90353",
          "genre" : ["Drama"],
          "title" : "Beautiful Boy",
          "@version" : "1",
          "year" : 2010
        }
      },
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "100487",
        "_score" : 7.317063,
        "_source" : {
          "id" : "100487",
          "genre" : [
            "Drama",
            "Fantasy",
            "Romance"
          ],
          "title" : "Beautiful Creatures",
          "@version" : "1",
          "year" : 2013
        }
      }
    ]
  }
}

6.2 TermQuery+AND/OR/NOT

POST movies/_search
{
  "query": {
    "match": {
      "title": {
        "query": "beautiful mind",
        "operator": "and"
      }
    }
  }
}
  • operator: and/or/not 对 ”query” 的词条做限度逻辑关系,加上 and 后,便只有一个记录:
{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1,
      "relation" : "eq"
    },
    "max_score" : 13.687479,
    "hits" : [
      {
        "_index" : "movies",
        "_type" : "_doc",
        "_id" : "4995",
        "_score" : 13.687479,
        "_source" : {
          "id" : "4995",
          "genre" : [
            "Drama",
            "Romance"
          ],
          "title" : "Beautiful Mind, A",
          "@version" : "1",
          "year" : 2001
        }
      }
    ]
  }
}

7.match_phrase 查问表达式:PhraseQuery

7.1 PhraseQuery

POST movies/_search
{
  "query": {
    "match_phrase": {
      "title": {"query": "beautiful mind"}
    }
  }
}
#// 或者上面模式都可
POST movies/_search
{
  "query": {
    "match_phrase": {"title": "beautiful mind"}
  }
}

后果就只有一条,因为是 PhraseQuery:既要求分词,又要求程序;

7.2 PhraseQuery+slop

  • slop /sl>p/ n. 脏水,淡而无味的半流质食物;泔水
POST movies/_search
{
  "query": {
    "match_phrase": {
      "title": {
        "query": "friday part",
        "slop": 2
      }
    }
  }
}

slop=2, 就是容许 fridaypart 两头 掺和 2 个杂词(不相干的任意词)

正文完
 0