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Posted to issues@spark.apache.org by "Tathagata Das (JIRA)" <ji...@apache.org> on 2014/05/16 13:01:50 UTC
[jira] [Updated] (SPARK-1647) Prevent data loss when Streaming
driver goes down
[ https://issues.apache.org/jira/browse/SPARK-1647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tathagata Das updated SPARK-1647:
---------------------------------
Fix Version/s: 1.1.0
> Prevent data loss when Streaming driver goes down
> -------------------------------------------------
>
> Key: SPARK-1647
> URL: https://issues.apache.org/jira/browse/SPARK-1647
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Reporter: Hari Shreedharan
> Fix For: 1.1.0
>
>
> Currently when the driver goes down, any uncheckpointed data is lost from within spark. If the system from which messages are pulled can replay messages, the data may be available - but for some systems, like Flume this is not the case.
> Also, all windowing information is lost for windowing functions.
> We must persist raw data somehow, and be able to replay this data if required. We also must persist windowing information with the data itself.
> This will likely require quite a bit of work to complete and probably will have to be split into several sub-jiras.
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