Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1658#discussion_r15618893
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -511,6 +511,26 @@ 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 byteFiles(path: String, minPartitions: Int = defaultMinPartitions):
RDD[(String, Array[Byte])] = {
--- End diff --
I'd call this `binaryFiles`.
Also, please add it to `JavaSparkContext`, and ideally we'd have a way to
add it to Python as well. That one will be trickier -- we probably need to read
the file in chunks and pass them to Python. But I think it's important to
design the API as part of this change.
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