Aggregate
Applies one or more aggregation functions on a stream of events in a specified time window. The events must be grouped by one or more fields. This function returns a single value. Best practices are to limit window sizes to 24 hours or less and have a slide that is no smaller than 1/6th of your window size. For example, for a window size of 1 minute, make your window size at least 10 seconds. This function accepts a variable number of arguments.
View configurations for the aggregate function by highlighting the function in the Data Pipelines UI and clicking View Configurations. In the View Configurations tab, you can check what the original fields are for the data coming in to the aggregate function in the left sidebar, edit the function's arguments in the UI form, and see the outputted fields for data coming out of the aggregate function in the right sidebar.
- Function Input
- collection<record<R>>
- This function takes in collections of records with schema R.
- Function Output
- collection<record<S>>
- This function outputs the same collection of records but with a different schema S.
Note: The aggregation function has no concept of wall clock time, and the passage of time is based on the timestamps of incoming records. The aggregation function tracks the latest timestamp it received in the stream as the "current" time, and it determines the start and end of windows using this timestamp. Once the difference between the current timestamp and the start timestamp of the current window is greater than the window length, that window is closed and a new window starts. However, since events may arrive out of order, the grace period argument allows the previous window W to remain "open" for a certain period G after its closing timestamp T. Until we receive a record with a timestamp C where C > T + G, any incoming events with timestamp less than T are counted towards the previous window W.
Arguments
Argument | Input | Description | UI example |
---|---|---|---|
by | collection<expression<any>> | Choose field values by which to group events. | field/expression: host , output field: host
|
timestamp | expression<long> | The field name where your record's timestamps are located. | timestamp |
size | long | The window length in milliseconds to group events. | 60 seconds |
slide | long | The amount of time, in milliseconds, to wait before starting a new window. | 60 seconds |
grace-period | long | The amount of time, in milliseconds, to wait for late-arriving events. | 10 seconds |
aggregations | collection<expression<any>> | Apply one or more aggregation functions. | New Aggregation: count , field/expression: source , output field: number_events_per_source .
|
DSL example
Return the status code for each host
aggregate(events, by: as(get("status_code"), "status_code"), timestamp: get("ts"), size: 50L, slide: 10L, grace-period: 0L, aggregations: count(get("host"), "HostPerStatus"));
How to use the DSP Function Reference | Aggregate and Trigger |
This documentation applies to the following versions of Splunk® Data Stream Processor: 1.0.0
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