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https://issues.apache.org/jira/browse/SPARK-20528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16716684#comment-16716684
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vishal kumar yadav commented on SPARK-20528:
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I am facing similar kind of issues.
val sc: SparkContext = new SparkContext(conf)
val a = sc.binaryFiles("path_for/binary_file").map \{ x => (x._1, x._2.toArray)
}.map \{ x => (x._1, x._2.toArray) }
val sqlContext = new SQLContext(sc)
val binDataFrame = sqlContext.createDataFrame(a)
println(binDataFrame.show())
Error :
18/12/11 15:07:25 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
192.168.0.164, executor 0): java.lang.ClassCastException: cannot assign
instance of scala.collection.immutable.List$SerializationProxy to field
org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type
scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
> Add BinaryFileReader and Writer for DataFrames
> ----------------------------------------------
>
> Key: SPARK-20528
> URL: https://issues.apache.org/jira/browse/SPARK-20528
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Joseph K. Bradley
> Priority: Major
>
> It would be very useful to have a binary data reader/writer for DataFrames,
> presumably called via {{spark.read.binaryFiles}}, etc.
> Currently, going through RDDs is annoying since it requires different code
> paths for Scala vs Python:
> Scala:
> {code}
> val binaryFilesRDD = sc.binaryFiles("mypath")
> val binaryFilesDF = spark.createDataFrame(binaryFilesRDD)
> {code}
> Python:
> {code}
> binaryFilesRDD = sc.binaryFiles("mypath")
> binaryFilesRDD_recast = binaryFilesRDD.map(lambda x: (x[0], bytearray(x[1])))
> binaryFilesDF = spark.createDataFrame(binaryFilesRDD_recast)
> {code}
> This is because Scala and Python {{sc.binaryFiles}} return different types,
> which makes sense in RDD land but not DataFrame land.
> My motivation here is working with images in Spark.
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