[
https://issues.apache.org/jira/browse/NIFI-3225?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15762017#comment-15762017
]
Joseph Percivall commented on NIFI-3225:
----------------------------------------
These before/after images, do they run the same amount of data or is just a
sample of an arbitrary amount of time/data and just comparing the number of
samples in checkpoint seen?
> Abstract Processor type that batches session.get() and session.commit() calls
> -----------------------------------------------------------------------------
>
> Key: NIFI-3225
> URL: https://issues.apache.org/jira/browse/NIFI-3225
> Project: Apache NiFi
> Issue Type: Improvement
> Reporter: Bryan Rosander
> Assignee: Bryan Rosander
> Priority: Minor
> Attachments: after.png, before.png
>
>
> For processors that are stateless and support batching, it should be safe to
> get and process multiple input FlowFiles for each onTrigger() call.
> This should amortize the cost of session.get(), session.checkpoint(),
> session.commit() as well as any setup in onTrigger() that isn't dependent on
> the FlowFile(s) attributes or content.
> An AbstractBatchingProcessor type should reduce boilerplate code in candidate
> processors and encourage uniform configurability via a property to control
> batch size.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
