Time series aggregation
editTime series 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.
The time series aggregation queries data created using a time series index. This is typically data such as metrics or other data streams with a time component, and requires creating an index using the time series mode.
Data can be added to the time series index like other indices:
PUT /my-time-series-index-0/_bulk
{ "index": {} }
{ "key": "a", "val": 1, "@timestamp": "2022-01-01T00:00:10Z" }
{ "index": {}}
{ "key": "a", "val": 2, "@timestamp": "2022-01-02T00:00:00Z" }
{ "index": {} }
{ "key": "b", "val": 2, "@timestamp": "2022-01-01T00:00:10Z" }
{ "index": {}}
{ "key": "b", "val": 3, "@timestamp": "2022-01-02T00:00:00Z" }
To perform a time series aggregation, specify "time_series" as the aggregation type. When the boolean "keyed" is true, each bucket is given a unique key.
GET /_search
{
"aggs": {
"ts": {
"time_series": { "keyed": false }
}
}
}
This will return all results in the time series, however a more typical query will use sub aggregations to reduce the date returned to something more relevant.
Size
editBy default, time series aggregations return 10000 results. The "size" parameter can be used to limit the results
further. Alternatively, using sub aggregations can limit the amount of values returned as a time series aggregation.
Keyed
editThe keyed parameter determines if buckets are returned as a map with unique keys per bucket. By default with keyed
set to false, buckets are returned as an array.