GroupBy

Merges groups of time series based on the tag keys of those series using an aggregation function.

Note

In 1.x and 2.x the tags to group one were specified in filters. Now the tags to group on must be explicitly supplied in the group by config.

Note

In previous versions of OpenTSDB, common tags (keys and values present in all series in the group) and aggregated tags (keys with different values for one or more series in the group) were computed and serialized. Now, by default, 3.0 will ignore common tags and simply place tag keys that were specified in the tagKeys list in the aggregatedTags fields. Set mergeIds to mimic the previous behavior.

Fields for the group by config include:

Name	Data Type	Required	Description	Default	Example
aggregator	String	Required	The ID of a registered aggregation function in the Registry to use when merging multiple series into a single value.	null	sum
infectiousNan	boolean	Optional	Whether or not NaNs from the source data should infect each timestamp when aggregating values. E.g. if one value out of 20 are `NaN` for a timestamp and this is true, the timestamp will return a `NaN`. If all values for the timestamp are `NaN` then the result will be `NaN` regardless.	false	true
mergeIds	Boolean	Optional	Set to true to compute the common and aggregated tags the way previous versions of OpenTSDB did.	false	true
fullMerge	boolean	Optional	Set to true to compute the common, aggregated and disjoint tags.	false	true
interpolatorConfig	List	Required for now	A list of interpolator configs for the downsampler to deal with empty buckets.	null	See Interpolators

Example:

{
  "id": "downsample",
  "aggregator": "sum",
  "interval": "5m",
  "fill": true,
  "interpolatorConfigs": [{
    "dataType": "numeric",
    "fillPolicy": "NAN",
    "realFillPolicy": "NONE"
  }],
  "sources": ["m1"]
}