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https://issues.apache.org/jira/browse/SPARK-15919?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15329313#comment-15329313
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Sean Owen commented on SPARK-15919:
-----------------------------------
If your batch interval is 5 minutes, you get 1 RDD per 5 minutes, which saves
its files (1 per partition) in 1 directory.
If you mean somehow that you have 1000 intervals per 5 minutes, and you really
need that, then use the window() function to establish a 5-minute window over
that stream of RDDs and use that single RDD to save the data into 1 directory.
That's already supported; you should read the API.
> 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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