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https://issues.apache.org/jira/browse/SPARK-15919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15329308#comment-15329308
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Aamir Abbas commented on SPARK-15919:
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This is exactly where our requirement is different. As per our use case, we
need to save all the RDDs in an interval, say 5 minutes, in one file. So in
case there are 1000 RDDs coming every 5 minutes, we need to save them in one
file instead of 1000 files.
Please let us know if and how Spark supports this, as this is a legitimate
requirement. Please let us know if this should be added as a feature request,
if it's currently not supported.
> DStream "saveAsTextFile" doesn't update the prefix after each checkpoint
> ------------------------------------------------------------------------
>
> Key: SPARK-15919
> URL: https://issues.apache.org/jira/browse/SPARK-15919
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.6.1
> Environment: Amazon EMR
> Reporter: Aamir Abbas
>
> I have a Spark streaming job that reads a data stream, and saves it as a text
> file after a predefined time interval. In the function
> stream.dstream().repartition(1).saveAsTextFiles(getOutputPath(), "");
> The function getOutputPath() generates a new path every time the function is
> called, depending on the current system time.
> However, the output path prefix remains the same for all the batches, which
> effectively means that function is not called again for the next batch of the
> stream, although the files are being saved after each checkpoint interval.
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