OpenSearch/docs/reference/aggregations/pipeline/cumulative-sum-aggregation.asciidoc

[[search-aggregations-pipeline-cumulative-sum-aggregation]]
=== Cumulative Sum Aggregation

A parent pipeline aggregation which calculates the cumulative sum of a specified metric in a parent histogram (or date_histogram)
aggregation. The specified metric must be numeric and the enclosing histogram must have `min_doc_count` set to `0` (default
for `histogram` aggregations).

==== Syntax

A `cumulative_sum` aggregation looks like this in isolation:

[source,js]
--------------------------------------------------
{
  "cumulative_sum": {
    "buckets_path": "the_sum"
  }
}
--------------------------------------------------
// NOTCONSOLE

[[cumulative-sum-params]]
.`cumulative_sum` Parameters
[options="header"]
|===
|Parameter Name |Description |Required |Default Value
|`buckets_path` |The path to the buckets we wish to find the cumulative sum for (see <<buckets-path-syntax>> for more
 details) |Required |
|`format` |format to apply to the output value of this aggregation |Optional |`null` 
|===

The following snippet calculates the cumulative sum of the total monthly `sales`:

[source,console]
--------------------------------------------------
POST /sales/_search
{
  "size": 0,
  "aggs": {
    "sales_per_month": {
      "date_histogram": {
        "field": "date",
        "calendar_interval": "month"
      },
      "aggs": {
        "sales": {
          "sum": {
            "field": "price"
          }
        },
        "cumulative_sales": {
          "cumulative_sum": {
            "buckets_path": "sales" <1>
          }
        }
      }
    }
  }
}
--------------------------------------------------
// TEST[setup:sales]

<1> `buckets_path` instructs this cumulative sum aggregation to use the output of the `sales` aggregation for the cumulative sum

And the following may be the response:

[source,console-result]
--------------------------------------------------
{
   "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
               },
               "cumulative_sales": {
                  "value": 550.0
               }
            },
            {
               "key_as_string": "2015/02/01 00:00:00",
               "key": 1422748800000,
               "doc_count": 2,
               "sales": {
                  "value": 60.0
               },
               "cumulative_sales": {
                  "value": 610.0
               }
            },
            {
               "key_as_string": "2015/03/01 00:00:00",
               "key": 1425168000000,
               "doc_count": 2,
               "sales": {
                  "value": 375.0
               },
               "cumulative_sales": {
                  "value": 985.0
               }
            }
         ]
      }
   }
}
--------------------------------------------------
// TESTRESPONSE[s/"took": 11/"took": $body.took/]
// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]