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https://issues.apache.org/jira/browse/SPARK-20528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16199788#comment-16199788
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Hyukjin Kwon edited comment on SPARK-20528 at 10/11/17 4:22 AM:
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The Scala one in the JIRA description looks not working BTW in the current
master:
{code}
scala> val binaryFilesRDD = sc.binaryFiles("README.md")
binaryFilesRDD: org.apache.spark.rdd.RDD[(String,
org.apache.spark.input.PortableDataStream)] = mypath BinaryFileRDD[0] at
binaryFiles at <console>:24
scala> val binaryFilesDF = spark.createDataFrame(binaryFilesRDD)
java.lang.UnsupportedOperationException: No Encoder found for
org.apache.spark.input.PortableDataStream
- field (class: "org.apache.spark.input.PortableDataStream", name: "_2")
- root class: "scala.Tuple2"
{code}
was (Author: hyukjin.kwon):
The Scala one looks not working BTW in the current master:
{code}
scala> val binaryFilesRDD = sc.binaryFiles("README.md")
binaryFilesRDD: org.apache.spark.rdd.RDD[(String,
org.apache.spark.input.PortableDataStream)] = mypath BinaryFileRDD[0] at
binaryFiles at <console>:24
scala> val binaryFilesDF = spark.createDataFrame(binaryFilesRDD)
java.lang.UnsupportedOperationException: No Encoder found for
org.apache.spark.input.PortableDataStream
- field (class: "org.apache.spark.input.PortableDataStream", name: "_2")
- root class: "scala.Tuple2"
{code}
> 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
>
> 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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