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Posted to issues@spark.apache.org by "Ray Qiu (JIRA)" <ji...@apache.org> on 2017/03/16 14:28:41 UTC
[jira] [Comment Edited] (SPARK-19977) Scheduler Delay (in UI
Advanced Metrics) for a task gradually increases from 5 ms to 30 seconds in
Spark Streaming application
[ https://issues.apache.org/jira/browse/SPARK-19977?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928164#comment-15928164 ]
Ray Qiu edited comment on SPARK-19977 at 3/16/17 2:28 PM:
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Not really. Many of the batches are empty RDDs, and the scheduler delay is still in the range of seconds. This only happen after a few hours of running the application. Everything works initially.
was (Author: rayqiu):
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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