Question

我想将两个存储桶相互比较，并找到出现在第二个存储桶中的新事件。以下查询返回提供的两个UNIX时间戳之间的“ query.keyword”字段中的所有条目，但我希望UNIX时间戳与聚合部分本身分开。

GET _search
    {
      "size": 0,
      "query": {
        "range" :{
          "ts": {
            "gte":1535155200,
            "lte":1535414399
          }
        }
      },
      "aggs": {
        "domains": {
          "terms": {
            "field":"query.keyword"
          }
        }
      }
    }

我也尝试过此操作，但收到错误：

"Found two aggregation type definitions in [domains_prev]: [range] and [terms]",

GET _search
{
  "size": 0,
  "aggs": {
    "domains_prev": {
      "range" :{
        "field":"ts",
        "ranges": [
          {"to" :  1535414399},
          {"from" : 1535155200}
        ]
      },
      "terms": {
        "field":"query.keyword"
      }
    }
  }
}

目标是要有类似的东西：

Agg1
"domains_prev"
"field":"query.keyword"
date:gte:timestamp, lte:timestamp

Agg2
"domains_today"
"field":"query.keyword"
date:today

show all "query.keyword" in agg2 that does not appear in agg1.

这是我用来实现预期结果的SQL查询：

select domains FROM table WHERE date >= 20171123 and domains NOT IN (SELECT domains FROM table WHERE date < 20171123 group by domains)

Answer 1

您需要从日期范围开始进行嵌套存储桶聚合：

https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-daterange-aggregation.html

在他们的页面上，从顶级聚合开始：

{
    "aggs": {
        "range": {
            "date_range": {
                "field": "date",
                "format": "MM-yyy",
                "ranges": [
                    { "to": "now-10M/M" }, 
                    { "from": "now-10M/M" } 
                ]
            }
        }
    }
}

然后在其下使用query.keyword嵌套您现有的术语集合。

最终结果应该类似于：

{
    "aggs": {
        "range": {
            "date_range": {
                "field": "date",
                "format": "MM-yyy",
                "ranges": [
                    { "to": "now-10M/M" }, 
                    { "from": "now-10M/M" } 
                ]
            },
            "aggs": {
                "domains": {
                    "terms": {
                        "field":"query.keyword"
                    }
                }
            }
        }
    }
}

日期之间的Elasticsearch聚合字段

1 个答案: