elasticsearch - 按桶键值过滤 Elasticsearch 聚合

Question

我有一个 Elasticsearch 文档索引，其中有一个包含 URL 列表的字段。正如预期的那样，在此字段上聚合为我提供了唯一 URL 的计数。

GET models*/_search
{
  "query": {
    "match_all": {}
  },
  "size": 0,
  "aggs": {
    "links": {
      "terms": {
        "field": "links.keyword",
        "size": 10
      }
    }
  }
}

然后我想过滤掉键不包含某个字符串的桶。我试过用 Bucket Selector Aggregation 这样做.

这次尝试:

GET models*/_search
{
  "query": {
    "match_all": {}
  },
  "size": 0,
  "aggs": {
    "links": {
      "terms": {
        "field": "links.keyword",
        "size": 10
      }
    },
    "links_key_filter": {
      "bucket_selector": {
        "buckets_path": {
          "key": "links"
        },
        "script": "!key.contains('foo')"
      }
    }
  }
}

失败:

Invalid pipeline aggregation named [links_key_filter] of type [bucket_selector]. Only sibling pipeline aggregations are allowed at the top level

将桶选择器放在链接聚合中，如下所示:

GET models*/_search
{
  "query": {
    "match_all": {}
  },
  "size": 0,
  "aggs": {
    "links": {
      "terms": {
        "field": "links.keyword",
        "size": 10
      },
      "bucket_selector": {
        "buckets_path": {
          "key": "links"
        },
        "script": "!key.contains('foo')"
      }
    }
  }
}

失败:

Found two aggregation type definitions in [links]: [terms] and [bucket_selector]

我会继续修修补补，但现在有点卡住了:(

Answer 1

您不会可以使用bucket_selector因为它的 bucket_path

must reference either a number value or a single value numeric metric aggregation [source]

多么 terms聚合产生的表示为 StringTerms — 这根本行不通，无论您是否 force a placeholder multibucket aggregation或不。
话虽如此，各 terms聚合支持 exclude filter .
假设您的链接是关键字数组:

POST models/_doc/1
{
  "links": [
    "google.com",
    "wikipedia.org"
  ]
}

POST models/_doc/2
{
  "links": [
    "reddit.com",
    "google.com"
  ]
}

并且您想对除 reddit 之外的所有内容进行分组，您可以使用以下正则表达式:

POST models*/_search
{
  "query": {
    "match_all": {}
  },
  "size": 0,
  "aggs": {
    "links": {
      "terms": {
        "field": "links.keyword",
        "exclude": ".*reddit.*",    <-- 
        "size": 10
      }
    }
  }
}

顺便说一句，使用此类正则表达式会产生一些重要的影响，尤其是。当您想象一个区分大小写的场景时，您需要一个查询时间生成的正则表达式 — 如 How to correctly query inside of terms aggregate values in elasticsearch, using include and regex? 中所述