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Hari Shreedharan commented on SPARK-1647: ----------------------------------------- I plan to work on this one, but I won't get to it until SPARK-1645. > 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 > > 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. -- This message was sent by Atlassian JIRA (v6.2#6252)