Time Interval Aggregation Processor

Modified on Tue, 30 Nov 2021 at 02:47 PM

Overview

Aggregates a data set by a fixed time interval of a timestamp column and additional columns to group by. The time interval of the timestamp column and the aggregation function to process can be set. 


Input

An input dataset has to contain at least:

  • a column of type Datetime
  • further columns (on which the aggregation function is applied)


Configuration


Output

The output data contains the aggregated values of the selected columns for a specified aggregation interval.

 

Example

In the following example, we use a sample of a transaction dataset. The given workflow calculates the sum of all transactions in a given time interval.


Workflow


Example Input


Example Configuration


Result


The interval representation in the result table contains the starting instant. according to both the input and the output datasets, the week containing the date 2020-03-01 starts on Monday 2020-02-24.

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