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[[search-aggregations-pipeline-cumulative-sum-aggregation]]
=== Cumulative Sum Aggregation
experimental[]
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"
}
}
--------------------------------------------------
.`cumulative_sum` Parameters
|===
|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, defaults to `null` |
|===
The following snippet calculates the cumulative sum of the total monthly `sales`:
[source,js]
--------------------------------------------------
{
"aggs" : {
"sales_per_month" : {
"date_histogram" : {
"field" : "date",
"interval" : "month"
},
"aggs": {
"sales": {
"sum": {
"field": "price"
}
},
"cumulative_sales": {
"cumulative_sum": {
"buckets_path": "sales" <1>
}
}
}
}
}
}
--------------------------------------------------
<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,js]
--------------------------------------------------
{
"aggregations": {
"sales_per_month": {
"buckets": [
{
"key_as_string": "2015/01/01 00:00:00",
"key": 1420070400000,
"doc_count": 3,
"sales": {
"value": 550
},
"cumulative_sales": {
"value": 550
}
},
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2,
"sales": {
"value": 60
},
"cumulative_sales": {
"value": 610
}
},
{
"key_as_string": "2015/03/01 00:00:00",
"key": 1425168000000,
"doc_count": 2,
"sales": {
"value": 375
},
"cumulative_sales": {
"value": 985
}
}
]
}
}
}
--------------------------------------------------