[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: (was: 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 > > 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)
[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. -- This message was sent by Atlassian JIRA (v6.2#6252)
[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 ] Patrick Wendell updated SPARK-1647: --- Component/s: Streaming > 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)
