Warning: file_get_contents(/data/phpspider/zhask/data//catemap/1/list/4.json): failed to open stream: No such file or directory in /data/phpspider/zhask/libs/function.php on line 167

Warning: Invalid argument supplied for foreach() in /data/phpspider/zhask/libs/tag.function.php on line 1116

Notice: Undefined index: in /data/phpspider/zhask/libs/function.php on line 180

Warning: array_chunk() expects parameter 1 to be array, null given in /data/phpspider/zhask/libs/function.php on line 181
Go 基于另一个字段获取给定字段的所有值_Go_<img Src="//i.stack.imgur.com/RUiNP.png" Height="16" Width="18" Alt="" Class="sponsor Tag Img">elasticsearch - Fatal编程技术网 elasticsearch,Go,elasticsearch" /> elasticsearch,Go,elasticsearch" />

Go 基于另一个字段获取给定字段的所有值

Go 基于另一个字段获取给定字段的所有值,go,elasticsearch,Go,elasticsearch,我有一些文档包含字段:id、大小等 我想找到所有可能的大小,其中id=1或2 这可能吗?您可以将术语查询与源筛选结合使用。添加工作示例 索引数据: { "id": 1, "size": 1 } { "id": 2, "size": 2 } { "id": 3, "size": 3 } { "_source": "siz

我有一些文档包含字段:id、大小等

我想找到所有可能的大小,其中id=1或2


这可能吗?

您可以将术语查询与源筛选结合使用。添加工作示例

索引数据:

{
  "id": 1,
  "size": 1
}
{
  "id": 2,
  "size": 2
}
{
  "id": 3,
  "size": 3
}
{
  "_source": "size",
  "query": {
    "terms": {
      "id": [
        1,
        2
      ]
    }
  }
}
"hits": [
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "size": 1
        }
      },
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "size": 2
        }
      }
    ]
搜索查询:

{
  "id": 1,
  "size": 1
}
{
  "id": 2,
  "size": 2
}
{
  "id": 3,
  "size": 3
}
{
  "_source": "size",
  "query": {
    "terms": {
      "id": [
        1,
        2
      ]
    }
  }
}
"hits": [
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "size": 1
        }
      },
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "size": 2
        }
      }
    ]
搜索结果:

{
  "id": 1,
  "size": 1
}
{
  "id": 2,
  "size": 2
}
{
  "id": 3,
  "size": 3
}
{
  "_source": "size",
  "query": {
    "terms": {
      "id": [
        1,
        2
      ]
    }
  }
}
"hits": [
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.0,
        "_source": {
          "size": 1
        }
      },
      {
        "_index": "66381642",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.0,
        "_source": {
          "size": 2
        }
      }
    ]

如果要显示该ID的可能大小,则应使用聚合

POST your_index/_search
{
  "size": 0,
  "query": {
    "terms": {
      "id": [
        "1",
        "2"
      ]
    }
  },
  "aggs": {
    "sizes": {
      "terms": {
        "field": "size"
      }
    }
  }
}
响应将是唯一大小以及具有该大小的文档数量

{
  "took" : 3,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "sizes" : {
      "doc_count_error_upper_bound" : 0,
      "sum_other_doc_count" : 0,
      "buckets" : [
        {
          "key" : 1,
          "doc_count" : 1
        },
        {
          "key" : 2,
          "doc_count" : 1
        }
      ]
    }
  }
}

@jason135您是否有机会仔细阅读答案,期待您的反馈