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https://issues.apache.org/jira/browse/BEAM-11403?focusedWorklogId=527335&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-527335
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ASF GitHub Bot logged work on BEAM-11403:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Dec/20 19:50
Start Date: 22/Dec/20 19:50
Worklog Time Spent: 10m
Work Description: je-ik commented on pull request #13592:
URL: https://github.com/apache/beam/pull/13592#issuecomment-749744489
> btw I tested it by using Kafka + Dataflow streaming and I don't notice a
performance improvement there. It might be that the cost of creating Kafka
connection is really cheap.
That doesn't seem to be a surpise, because under the current implementation,
it is essential for CheckpointMark to correctly implement equals and hashCode
(which KafkaCheckpointMark does not), because between two successive calls to
`processElement` the checkpoint is stored in state and therefore serialized and
deserialized and so a new object is put into the cache. Second point is that,
even after we fix this, it will be probably noticeable only on pipelines with
very frequent checkpoints.
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Issue Time Tracking
-------------------
Worklog Id: (was: 527335)
Time Spent: 1h 50m (was: 1h 40m)
> Unbounded SDF wrapper causes performance regression on DirectRunner
> -------------------------------------------------------------------
>
> Key: BEAM-11403
> URL: https://issues.apache.org/jira/browse/BEAM-11403
> Project: Beam
> Issue Type: Bug
> Components: runner-direct, sdk-java-core
> Reporter: Boyuan Zhang
> Assignee: Boyuan Zhang
> Priority: P2
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> There is a significant performance regression when switching from
> UnboundedSource to Unbounded SDF wrapper. So far there are 2 IOs reported:
> * Pubsub Read:
> https://lists.apache.org/thread.html/re6b0941a8b4951293a0327ce9b25e607cafd6e45b69783f65290edee%40%3Cdev.beam.apache.org%3E
> * Kafka Read: https://the-asf.slack.com/archives/C9H0YNP3P/p1606155042346600
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