4 Elasticsearch之排序查询

4 Elasticsearch之排序查询

一 准备数据

PUT lqz/doc/1
{
  "name":"顾老二",
  "age":30,
  "from": "gu",
  "desc": "皮肤黑、武器长、性格直",
  "tags": ["黑", "长", "直"]
}

PUT lqz/doc/2
{
  "name":"大娘子",
  "age":18,
  "from":"sheng",
  "desc":"肤白貌美,娇憨可爱",
  "tags":["白", "富","美"]
}

PUT lqz/doc/3
{
  "name":"龙套偏房",
  "age":22,
  "from":"gu",
  "desc":"mmp,没怎么看,不知道怎么形容",
  "tags":["造数据", "真","难"]
}


PUT lqz/doc/4
{
  "name":"石头",
  "age":29,
  "from":"gu",
  "desc":"粗中有细,狐假虎威",
  "tags":["粗", "大","猛"]
}

PUT lqz/doc/5
{
  "name":"魏行首",
  "age":25,
  "from":"广云台",
  "desc":"仿佛兮若轻云之蔽月,飘飘兮若流风之回雪,mmp,最后竟然没有嫁给顾老二!",
  "tags":["闭月","羞花"]
}

二 排序查询:sort

2.1 降序:desc

想到排序,出现在脑海中的无非就是升(正)序和降(倒)序。比如我们查询顾府都有哪些人,并根据age字段按照降序,并且,我只想看nmaeage字段:

GET lqz/doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}

上例,在条件查询的基础上,我们又通过sort来做排序,根据age字段排序,是降序呢还是升序,由order字段控制,desc是降序。

结果如下:

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 3,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "顾老二",
          "age" : 30,
          "from" : "gu",
          "desc" : "皮肤黑、武器长、性格直",
          "tags" : [
            "黑",
            "长",
            "直"
          ]
        },
        "sort" : [
          30
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "4",
        "_score" : null,
        "_source" : {
          "name" : "石头",
          "age" : 29,
          "from" : "gu",
          "desc" : "粗中有细,狐假虎威",
          "tags" : [
            "粗",
            "大",
            "猛"
          ]
        },
        "sort" : [
          29
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "name" : "龙套偏房",
          "age" : 22,
          "from" : "gu",
          "desc" : "mmp,没怎么看,不知道怎么形容",
          "tags" : [
            "造数据",
            "真",
            "难"
          ]
        },
        "sort" : [
          22
        ]
      }
    ]
  }
}

上例中,结果是以降序排列方式返回的。

2.2 升序:asc

那么想要升序怎么搞呢?

GET lqz/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ]
}

上例,想要以升序的方式排列,只需要将order值换为asc就可以了。

结果如下:

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 5,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "name" : "大娘子",
          "age" : 18,
          "from" : "sheng",
          "desc" : "肤白貌美,娇憨可爱",
          "tags" : [
            "白",
            "富",
            "美"
          ]
        },
        "sort" : [
          18
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "name" : "龙套偏房",
          "age" : 22,
          "from" : "gu",
          "desc" : "mmp,没怎么看,不知道怎么形容",
          "tags" : [
            "造数据",
            "真",
            "难"
          ]
        },
        "sort" : [
          22
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "5",
        "_score" : null,
        "_source" : {
          "name" : "魏行首",
          "age" : 25,
          "from" : "广云台",
          "desc" : "仿佛兮若轻云之蔽月,飘飘兮若流风之回雪,mmp,最后竟然没有嫁给顾老二!",
          "tags" : [
            "闭月",
            "羞花"
          ]
        },
        "sort" : [
          25
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "4",
        "_score" : null,
        "_source" : {
          "name" : "石头",
          "age" : 29,
          "from" : "gu",
          "desc" : "粗中有细,狐假虎威",
          "tags" : [
            "粗",
            "大",
            "猛"
          ]
        },
        "sort" : [
          29
        ]
      },
      {
        "_index" : "lqz",
        "_type" : "doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "顾老二",
          "age" : 30,
          "from" : "gu",
          "desc" : "皮肤黑、武器长、性格直",
          "tags" : [
            "黑",
            "长",
            "直"
          ]
        },
        "sort" : [
          30
        ]
      }
    ]
  }
}

上例,可以看到结果是以age从小到大的顺序返回结果。

三 不是什么数据类型都能排序

那么,你可能会问,除了age,能不能以别的属性作为排序条件啊?来试试:

GET lqz/chengyuan/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "name": {
        "order": "asc"
      }
    }
  ]
}

上例,我们以name属性来排序,来看结果:

{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
      }
    ],
    "type": "search_phase_execution_exception",
    "reason": "all shards failed",
    "phase": "query",
    "grouped": true,
    "failed_shards": [
      {
        "shard": 0,
        "index": "lqz",
        "node": "wrtr435jSgi7_naKq2Y_zQ",
        "reason": {
          "type": "illegal_argument_exception",
          "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
        }
      }
    ],
    "caused_by": {
      "type": "illegal_argument_exception",
      "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead.",
      "caused_by": {
        "type": "illegal_argument_exception",
        "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
      }
    }
  },
  "status": 400
}

结果跟我们想象的不一样,报错了!

注意:在排序的过程中,只能使用可排序的属性进行排序。那么可以排序的属性有哪些呢?

  • 数字
  • 日期

其他的都不行!

posted @ 2022-03-14 01:26  刘清政  阅读(593)  评论(0编辑  收藏  举报