Elasticsearch - 分页查询

前言

随着数据量的 不断增大,查询结果也展示的越来越长,很多时候,我们仅是查询几条数据,不用全部显示出来。那又该怎么做呢?这里就要用到分页了。

准备数据

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

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

PUT zhifou/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"]
}

分页查询:from/size

我们来看看elasticsearch是怎么将结果分页的:

GET zhifou/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ], 
  "from": 2,
  "size": 1
}

上例,首先以age降序排序,查询所有。并且在查询的时候,添加两个属性fromsize来控制查询结果集的数据条数。

  • from:从哪开始查
  • size:返回几条结果

如上例的结果:

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 5,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "zhifou",
        "_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
        ]
      }
    ]
  }
}

上例中,在返回的结果集中,从第2条开始,返回1条数据。

那如果想要从第2条开始,返回2条结果怎么做呢?

GET zhifou/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ], 
  "from": 2,
  "size": 2
}

上例中,我们指定from为2,意为从第2条开始返回,返回多少呢?size意为2条。

还可以这样:

GET zhifou/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ], 
  "from": 4,
  "size": 2
}

上例中,从第4条开始返回2条数据。

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" : "zhifou",
        "_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
        ]
      }
    ]
  }
}

上例中仅有一条数据,那是为啥呢?因为我们现在只有5条数据,从第4条开始查询,就只有1条符合条件,所以,就返回了1条数据。

学到这里,我们也可以看到,我们的查询条件越来越多,开始仅是简单查询,慢慢增加条件查询,增加排序,对返回结果进行限制。所以,我们可以说:对于elasticsearch来说,所有的条件都是可插拔的,彼此之间用,分割。比如说,我们在查询中,仅对返回结果进行限制:

GET zhifou/doc/_search
{
  "query": {
    "match_all": {}
  },
  "from": 4,
  "size": 2
}

上例中,在所有的返回结果中,结果从4开始返回2条数据。

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 5,
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "zhifou",
        "_type" : "doc",
        "_id" : "3",
        "_score" : 1.0,
        "_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"
          ]
        }
      }
    ]
  }
}

但我们只有1条符合条件的数据。


欢迎斧正,that's all
posted @ 2019-03-22 15:48  听雨危楼  阅读(864)  评论(1编辑  收藏  举报