113 lines
3.1 KiB
Plaintext
113 lines
3.1 KiB
Plaintext
[[search-aggregations-pipeline-sum-bucket-aggregation]]
|
|
=== Sum Bucket Aggregation
|
|
|
|
A sibling pipeline aggregation which calculates the sum across all bucket of a specified metric in a sibling aggregation.
|
|
The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
|
|
|
|
==== Syntax
|
|
|
|
A `sum_bucket` aggregation looks like this in isolation:
|
|
|
|
[source,js]
|
|
--------------------------------------------------
|
|
{
|
|
"sum_bucket": {
|
|
"buckets_path": "the_sum"
|
|
}
|
|
}
|
|
--------------------------------------------------
|
|
// NOTCONSOLE
|
|
|
|
.`sum_bucket` Parameters
|
|
|===
|
|
|Parameter Name |Description |Required |Default Value
|
|
|`buckets_path` |The path to the buckets we wish to find the sum for (see <<buckets-path-syntax>> for more
|
|
details) |Required |
|
|
|`gap_policy` |The policy to apply when gaps are found in the data (see <<gap-policy>> for more
|
|
details)|Optional | `skip`
|
|
|`format` |format to apply to the output value of this aggregation |Optional |`null`
|
|
|===
|
|
|
|
The following snippet calculates the sum of all the total monthly `sales` buckets:
|
|
|
|
[source,js]
|
|
--------------------------------------------------
|
|
POST /sales/_search
|
|
{
|
|
"size": 0,
|
|
"aggs" : {
|
|
"sales_per_month" : {
|
|
"date_histogram" : {
|
|
"field" : "date",
|
|
"interval" : "month"
|
|
},
|
|
"aggs": {
|
|
"sales": {
|
|
"sum": {
|
|
"field": "price"
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"sum_monthly_sales": {
|
|
"sum_bucket": {
|
|
"buckets_path": "sales_per_month>sales" <1>
|
|
}
|
|
}
|
|
}
|
|
}
|
|
--------------------------------------------------
|
|
// CONSOLE
|
|
// TEST[setup:sales]
|
|
|
|
<1> `buckets_path` instructs this sum_bucket aggregation that we want the sum of the `sales` aggregation in the
|
|
`sales_per_month` date histogram.
|
|
|
|
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
|
|
}
|
|
},
|
|
{
|
|
"key_as_string": "2015/02/01 00:00:00",
|
|
"key": 1422748800000,
|
|
"doc_count": 2,
|
|
"sales": {
|
|
"value": 60.0
|
|
}
|
|
},
|
|
{
|
|
"key_as_string": "2015/03/01 00:00:00",
|
|
"key": 1425168000000,
|
|
"doc_count": 2,
|
|
"sales": {
|
|
"value": 375.0
|
|
}
|
|
}
|
|
]
|
|
},
|
|
"sum_monthly_sales": {
|
|
"value": 985.0
|
|
}
|
|
}
|
|
}
|
|
--------------------------------------------------
|
|
// TESTRESPONSE[s/"took": 11/"took": $body.took/]
|
|
// TESTRESPONSE[s/"_shards": \.\.\./"_shards": $body._shards/]
|
|
// TESTRESPONSE[s/"hits": \.\.\./"hits": $body.hits/]
|