# Sum Bucket Aggregation 總和桶聚合用于計算一組聚合創建的所有桶中指定度量的和。指定的度量必須是數字型而且這個組聚合必須是多桶聚合。 ### 語法 sum_bucket聚合結構如下： | `{` `"sum_bucket"``: {` `"buckets_path"``:?``"the_sum"` `}` `}` | `max_bucket`?參數如下： | 參數名稱 | 描述 | 是否必填 | 默認值 | | --- | --- | --- | --- | | buckets_path | 想要計算總和的桶路徑，點擊?[the section called “`buckets_path`?Syntax](https://www.elastic.co/guide/en/elasticsearch/reference/5.4/search-aggregations-pipeline.html#buckets-path-syntax "buckets_path Syntaxedit")[edit](https://github.com/elastic/elasticsearch/edit/5.4/docs/reference/aggregations/pipeline.asciidoc "Edit this page on GitHub")”查看更多細節 | 必填 | ? | | gap_policy | 當數據缺口出現時采用的策略，點擊[the section called “Dealing with gaps in the data](https://www.elastic.co/guide/en/elasticsearch/reference/5.4/search-aggregations-pipeline.html#gap-policy "Dealing with gaps in the dataedit")[edit](https://github.com/elastic/elasticsearch/edit/5.4/docs/reference/aggregations/pipeline.asciidoc "Edit this page on GitHub")”查看更多細節 | 可選 | skip | | format | 用于規范聚合輸出值的格式 | 可選 | null | 以下代碼段計算所有月銷售總額的總和： | `POST?``/sales/_search` `{` `"size"``: 0,` `"aggs"`?`: {` `"sales_per_month"`?`: {` `"date_histogram"`?`: {` `"field"`?`:?``"date"``,` `"interval"`?`:?``"month"` `},` `"aggs"``: {` `"sales"``: {` `"sum"``: {` `"field"``:?``"price"` `}` `}` `}` `},` `"sum_monthly_sales"``: {` `"sum_bucket"``: {` `"buckets_path"``:?``"sales_per_month>sales"`?`#1` `}` `}` `}` `}` | | 1 | buckets_path指示這個sum_bucket聚合是要得到sales_per_month日期直方圖中的sales聚合sum的總和 | 可能得到如下的響應： | `{` `"took"``: 11,` `"timed_out"``:?``false``,` `"_shards"``: ...,` `"hits"``: ...,` `"aggregations"``: {` `"sales_per_month"``: {` `"buckets"``: [` `{` `"key_as_string"``:?``"2015/01/01 00:00:00"``,` `"key"``: 1420070400000,` `"doc_count"``: 3,` `"sales"``: {` `"value"``: 550.0` `}` `},` `{` `"key_as_string"``:?``"2015/02/01 00:00:00"``,` `"key"``: 1422748800000,` `"doc_count"``: 2,` `"sales"``: {` `"value"``: 60.0` `}` `},` `{` `"key_as_string"``:?``"2015/03/01 00:00:00"``,` `"key"``: 1425168000000,` `"doc_count"``: 2,` `"sales"``: {` `"value"``: 375.0` `}` `}` `]` `},` `"sum_monthly_sales"``: {` `"value"``: 985.0` `}` `}` `}` |