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弹性搜索date_histogram extended_bounds

[英]Elastic search date_histogram extended_bounds

I want to get date_histogram during specific period, how to restrict the date period? 我想在特定时期获得date_histogram,如何限制日期? Should I use the extended_bounds parameter? 我应该使用extended_bounds参数吗? For example : I want to query the date_histogram between '2016-08-01' and '2016-08-31', and the interval is day. 例如:我想查询'2016-08-01'和'2016-08-31'之间的date_histogram,间隔是day。 I query with this expression : 我用这个表达式查询:

{
  "aggs": {
    "cf_loan": {
      "date_histogram": {
        "field": "createDate",
        "interval": "day",
        "format": "yyyy-MM-dd",
        "min_doc_count": 0,
        "extended_bounds": {
          "min": "2016-08-01",
          "max": "2016-08-31"
        }
      }
    }
  }
}

But I get the date_histogram not in the range. 但我得到的date_histogram不在范围内。

You're almost there, you need to add a range query in order to only select documents whose createDate field is in the desired range. 你几乎就在那里,你需要添加一个range查询,以便只选择其createDate字段在所需范围内的文档。

{
  "query": {
    "range": {                           <---- add this range query
      "createDate": {
        "gte": "2016-08-01T00:00:00.000Z",
        "lt": "2016-09-01T00:00:00.000Z"
      }
    }
  },
  "aggs": {
    "cf_loan": {
      "date_histogram": {
        "field": "createDate",
        "interval": "day",
        "format": "yyyy-MM-dd",
        "min_doc_count": 0,
        "extended_bounds": {
          "min": "2016-08-01",
          "max": "2016-08-31"
        }
      }
    }
  }
}

The role of the extended_bounds parameter is to make sure you'll get daily buckets from min to max even if there are no documents in them. 该角色extended_bounds参数是确保你会得到每天桶从minmax ,即使有在他们没有文件。 For instance, say you have 1 document each day between 2016-08-04 and 2016-08-28, then without the extended_bounds parameter, you'd get 25 buckets (2016-08-04, 2016-08-05, 2016-08-06, ..., 2016-08-28). 例如,假设您在2016-08-04和2016-08-28之间每天有1个文档,那么如果没有extended_bounds参数,您将获得25个桶(2016-08-04,2016-08-05,2016- 08-06,...,2016-08-28)。

With the extended_bounds parameter, you'll also get the following buckets but with 0 documents: 使用extended_bounds参数,您还将获得以下存储桶,但有0个文档:

  • 2016-08-01 2016年8月1日
  • 2016-08-02 2016年8月2日
  • 2016-08-03 2016年8月3日
  • 2016-08-29 2016年8月29日
  • 2016-08-30 二零一六年八月三十零日
  • 2016-08-31 2016年8月31日

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