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https://issues.apache.org/jira/browse/SPARK-19977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928164#comment-15928164
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Ray Qiu commented on SPARK-19977:
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Not really. Many of the batches are empty RDDs, and the scheduler delay still
in the range of seconds. This only happen after a few hours of running the
application. Everything works initially.
> Scheduler Delay (in UI Advanced Metrics) for a task gradually increases from
> 5 ms to 30 seconds in Spark Streaming application
> ------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-19977
> URL: https://issues.apache.org/jira/browse/SPARK-19977
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 2.1.0
> Reporter: Ray Qiu
>
> Scheduler Delay (in UI Advanced Metrics) for a task gradually increases from
> 5 ms to 30+ seconds in a Spark Streaming application, where multiple Kafka
> direct streams are processed. These kafka streams are processed separately
> (not combined via union).
> It causes the task processing time to increase greatly and eventually stops
> working.
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