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https://issues.apache.org/jira/browse/SPARK-3129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14140049#comment-14140049
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Hari Shreedharan commented on SPARK-3129:
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Do these numbers look ok enough to you guys, [~tdas], [~matei], [~pwendell]? If
you want to experiment, it is you can use the app and play around with it. I
don't think this number is too bad - though I don't know how the current block
replication code performs - but I'd estimate it to be in a few 10's of millis.
> Prevent data loss in Spark Streaming
> ------------------------------------
>
> Key: SPARK-3129
> URL: https://issues.apache.org/jira/browse/SPARK-3129
> Project: Spark
> Issue Type: New Feature
> Components: Streaming
> Reporter: Hari Shreedharan
> Assignee: Hari Shreedharan
> Attachments: SecurityFix.diff, StreamingPreventDataLoss.pdf
>
>
> Spark Streaming can small amounts of data when the driver goes down - and the
> sending system cannot re-send the data (or the data has already expired on
> the sender side). The document attached has more details.
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