WARNING: Version 2.4 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Cumulative Sum Aggregation
editCumulative Sum Aggregation
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
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
editA cumulative_sum aggregation looks like this in isolation:
{
"cumulative_sum": {
"buckets_path": "the_sum"
}
}
Table 10. cumulative_sum Parameters
| Parameter Name | Description | Required | Default Value |
|---|---|---|---|
|
The path to the buckets we wish to find the cumulative sum for (see |
Required |
|
|
format to apply to the output value of this aggregation |
Optional, defaults to |
The following snippet calculates the cumulative sum of the total monthly sales:
{
"aggs" : {
"sales_per_month" : {
"date_histogram" : {
"field" : "date",
"interval" : "month"
},
"aggs": {
"sales": {
"sum": {
"field": "price"
}
},
"cumulative_sales": {
"cumulative_sum": {
"buckets_path": "sales"
}
}
}
}
}
}
|
|
And the following may be the response:
{
"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
}
}
]
}
}
}