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This functionality is experimental and may be changed or removed completely in a future release. Elastic will take a best effort approach to fix any issues, but experimental features are not subject to the support SLA of official GA features.
A sibling pipeline aggregation which calculates the (mean) average value of a specified metric in a sibling aggregation. The specified metric must be numeric and the sibling aggregation must be a multi-bucket aggregation.
An avg_bucket aggregation looks like this in isolation:
{
"avg_bucket": {
"buckets_path": "the_sum"
}
}
Table 1. avg_bucket Parameters
| Parameter Name | Description | Required | Default Value |
|---|---|---|---|
|
The path to the buckets we wish to find the average for (see |
Required |
|
|
The policy to apply when gaps are found in the data (see Dealing with gaps in the data for more details) |
Optional, defaults to |
|
|
format to apply to the output value of this aggregation |
Optional, defaults to |
The following snippet calculates the average of the total monthly sales:
{
"aggs" : {
"sales_per_month" : {
"date_histogram" : {
"field" : "date",
"interval" : "month"
},
"aggs": {
"sales": {
"sum": {
"field": "price"
}
}
}
},
"avg_monthly_sales": {
"avg_bucket": {
"buckets_path": "sales_per_month>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
}
},
{
"key_as_string": "2015/02/01 00:00:00",
"key": 1422748800000,
"doc_count": 2,
"sales": {
"value": 60
}
},
{
"key_as_string": "2015/03/01 00:00:00",
"key": 1425168000000,
"doc_count": 2,
"sales": {
"value": 375
}
}
]
},
"avg_monthly_sales": {
"value": 328.33333333333333
}
}
}