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https://issues.apache.org/jira/browse/SPARK-16338?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-16338.
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Resolution: Incomplete
> Streaming driver running on standalone cluster mode with supervise goes into
> bad state when application is killed from the UI
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-16338
> URL: https://issues.apache.org/jira/browse/SPARK-16338
> Project: Spark
> Issue Type: Bug
> Components: Deploy, DStreams, Web UI
> Affects Versions: 1.6.1
> Reporter: Rohit Agarwal
> Priority: Major
> Labels: bulk-closed
> Attachments: error
>
>
> We are going to start using Spark Streaming in production and I was testing
> various failure scenarios. I noticed one case where the spark streaming
> driver got into a bad state.
> Steps to reproduce:
> 1. Create a spark streaming application with Direct Kafka Streams and
> checkpointing enabled.
> 2. Deploy the application to a spark standalone cluster. With cluster mode
> and --supervise.
> 3. Let it run for sometime.
> 4. Kill the application (but not the driver) from the Spark Master UI.
> 5. The driver keeps on running but doesn't restart the application. What's
> worse is that it keeps updating the checkpoint every batch duration, so when
> you do restart the driver, it starts at a later point and you have lost data.
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