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https://issues.apache.org/jira/browse/SPARK-19646?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15871493#comment-15871493
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BahaaEddin AlAila commented on SPARK-19646:
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Thank you very much for the quick reply.
All I did was the following in spark-shell:
val x = sc.binaryRecords('binary_file.bin',3073)
val t= x.take(3)
t(0)
t(1)
t(2)
// all returning the same array, even though they shouldn't be the same
in pyspark, I do the same:
x = sc.binaryRecords('binary_file.bin',3073)
t = x.take(3)
t[0]
t[1]
t[2]
// different legit results, verified manually as well.
> binaryRecords replicates records in scala API
> ---------------------------------------------
>
> Key: SPARK-19646
> URL: https://issues.apache.org/jira/browse/SPARK-19646
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.0, 2.1.0
> Reporter: BahaaEddin AlAila
> Priority: Minor
>
> The scala sc.binaryRecords replicates one record for the entire set.
> for example, I am trying to load the cifar binary data where in a big binary
> file, each 3073 represents a 32x32x3 bytes image with 1 byte for the label
> label. The file resides on my local filesystem.
> .take(5) returns 5 records all the same, .collect() returns 10,000 records
> all the same.
> What is puzzling is that the pyspark one works perfectly even though
> underneath it is calling the scala implementation.
> I have tested this on 2.1.0 and 2.0.0
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