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https://issues.apache.org/jira/browse/SPARK-2072?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14224660#comment-14224660
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Tathagata Das commented on SPARK-2072:
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Does this issue still exist? If not, I am going to close this JIRA.
> Streaming not processing a file with particular number of entries
> -----------------------------------------------------------------
>
> Key: SPARK-2072
> URL: https://issues.apache.org/jira/browse/SPARK-2072
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.0.0
> Reporter: Pravesh Jain
> Priority: Minor
> Attachments: Output_400k.txt, Output_800k.txt, StreamingJavaLR.java
>
>
> I am using Spark-1.0.0 over a 3 node cluster with 1 master and 2 slaves. I am
> trying to run LR algorithm over Spark Streaming.
> I take input from files for training the model with JavaSparkContext and for
> testing the model with JavaStreamingContext.
> I have used the data given in $SPARK_HOME/mllib/data/lr-data/random.data for
> training and testing. To obtain larger data sets, I have copied this data.
> The code works fine for every possible set of data in local mode. Over the
> cluster, however, it is not able to process the file containing 0.4million
> entries. For every other data set it works fine .But for 0.4 million entries
> it doesn't print the output in the file it is supposed to.
> The worker logs don't output anything different.
> I am attaching the code i am using as well the the output for 0.4 million and
> 0.8 million entries.
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