【弄nèng - Elasticsearch】DSL入门篇（九）—— Global aggregation和Filter aggregation

Global aggregation定义搜索执行上下文中所有文档的单个bucket。此上下文由正在搜索的索引和文档类型定义，但不受搜索查询本身的影响
官网传送门

1. Global aggregation

POST twitter/tweet/_search
{
    "query" : {
        "match" : { "name" : "SIMA" }
    },
    "aggs" : {
        "all_" : {
            "global" : {}, 
            "aggs" : { 
                "avg_price" : { "avg" : { "field" : "postDate" } }
            }
        }
    }
}

返回结果是所有文档的postDate 平均值，而不管查询结果。

效果

{
  "took": 37,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "hits": {
    "total": 1,
    "max_score": 1.3862944,
    "hits": [
      {
        "_index": "twitter",
        "_type": "tweet",
        "_id": "3",
        "_score": 1.3862944,
        "_source": {
          "name": "SIMA",
          "message": "1asda爱上大声大声大声道1",
          "postDate": 1574874999000,
          "title": "黑龙江省北安市建设农场"
        }
      }
    ]
  },
  "aggregations": {
    "all_": {
      "doc_count": 4,
      "avg_price": {
        "value": 790537588119.75
      }
    }
  }
}

2. Filter aggregation

通常，这将用于将当前聚合上下文缩小到特定的一组文档

POST twitter/tweet/_search
{
    "size": 0,
    "aggs" : {
        "nameAgg" : {
            "filter" : { "term": { "name": "SIMA" } },
            "aggs" : {
                "avg_price" : { "avg" : { "field" : "postDate" } }
            }
        }
    }
}

返回所有name=SIMA的平均postDate

效果

{
  "took": 6,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "hits": {
    "total": 4,
    "max_score": 0,
    "hits": []
  },
  "aggregations": {
    "nameAgg": {
      "doc_count": 1,
      "avg_price": {
        "value": 1574874999000
      }
    }
  }
}

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