Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1658#discussion_r18610904
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -511,6 +511,67 @@ class SparkContext(config: SparkConf) extends Logging {
}
/**
+ * Get an RDD for a Hadoop-readable dataset as byte-streams for each file
+ * (useful for binary data)
+ *
+ * @param minPartitions A suggestion value of the minimal splitting
number for input data.
+ *
+ * @note Small files are preferred, large file is also allowable, but
may cause bad performance.
+ */
+ def binaryFiles(path: String, minPartitions: Int = defaultMinPartitions):
+ RDD[(String, Array[Byte])] = {
+ val job = new NewHadoopJob(hadoopConfiguration)
+ NewFileInputFormat.addInputPath(job, new Path(path))
+ val updateConf = job.getConfiguration
+ new RawFileRDD(
+ this,
+ classOf[ByteInputFormat],
+ classOf[String],
+ classOf[Array[Byte]],
+ updateConf,
+ minPartitions).setName(path)
+ }
+
+ /**
+ * Get an RDD for a Hadoop-readable dataset as DataInputStreams for each
file
+ * (useful for binary data)
+ *
+ *
+ * @param minPartitions A suggestion value of the minimal splitting
number for input data.
+ *
+ * @note Care must be taken to close the files afterwards
--- End diff --
Hey Kevin, is this `@note` still relevant? using addOnCompleteCallback you
might be able to avoid this.
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