Splits a batch of messages into N batches, where each resulting batch contains a group of messages determined by conditions that are applied per message of the original batch.
# Config fields, showing default valuesgroup_by: 
Once the groups are established a list of processors are applied to their respective grouped batch, which can be used to label the batch as per their grouping.
Each group is configured in a list with a condition and a list of processors:
group_by:- condition:static: trueprocessors:- type: noop
Messages are added to the first group that passes and can only belong to a single group. Messages that do not pass the conditions of any group are placed in a final batch with no processors applied.
The functionality of this processor depends on being applied across messages that are batched. You can find out more about batching in this doc.
Imagine we have a batch of messages that we wish to split into two groups - the
foos and the bars - which should be sent to different output destinations based
on those groupings. We also need to send the foos as a tar gzip archive. For
this purpose we can use the
group_by processor with a
pipeline:processors:- group_by:- condition:text:operator: containsarg: "this is a foo"processors:- archive:format: tar- compress:algorithm: gzip- metadata:operator: setkey: groupingvalue: foooutput:switch:outputs:- output:type: foo_outputcondition:metadata:operator: equalskey: groupingarg: foo- output:type: bar_output
Since any message that isn't a foo is a bar, and bars do not require their own processing steps, we only need a single grouping configuration.