117 lines
3.3 KiB
Plaintext
117 lines
3.3 KiB
Plaintext
[[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` 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 |`null`
|
|
|===
|
|
|
|
The following snippet calculates the cumulative sum of the total monthly `sales`:
|
|
|
|
[source,js]
|
|
--------------------------------------------------
|
|
POST /sales/_search
|
|
{
|
|
"size": 0,
|
|
"aggs" : {
|
|
"sales_per_month" : {
|
|
"date_histogram" : {
|
|
"field" : "date",
|
|
"interval" : "month"
|
|
},
|
|
"aggs": {
|
|
"sales": {
|
|
"sum": {
|
|
"field": "price"
|
|
}
|
|
},
|
|
"cumulative_sales": {
|
|
"cumulative_sum": {
|
|
"buckets_path": "sales" <1>
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
--------------------------------------------------
|
|
// CONSOLE
|
|
// 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,js]
|
|
--------------------------------------------------
|
|
{
|
|
"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/]
|