Cumulative sum aggregation
editCumulative sum aggregation
editA 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 58. cumulative_sum Parameters
| Parameter Name | Description | Required | Default Value |
|---|---|---|---|
|
The path to the buckets we wish to find the cumulative sum for (see |
Required |
|
|
DecimalFormat pattern for the
output value. If specified, the formatted value is returned in the aggregation’s
|
Optional |
|
The following snippet calculates the cumulative sum of the total monthly sales:
response = client.search(
index: 'sales',
body: {
size: 0,
aggregations: {
sales_per_month: {
date_histogram: {
field: 'date',
calendar_interval: 'month'
},
aggregations: {
sales: {
sum: {
field: 'price'
}
},
cumulative_sales: {
cumulative_sum: {
buckets_path: 'sales'
}
}
}
}
}
}
)
puts response
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"
}
}
}
}
}
}
|
|
And the following may be the response:
{
"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
}
}
]
}
}
}