Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/4106#discussion_r23312771
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -193,17 +193,21 @@ class HadoopRDD[K, V](
override def getPartitions: Array[Partition] = {
val jobConf = getJobConf()
// add the credentials here as this can be called before SparkContext
initialized
+ // Also need to explicitly run this as the Spark user to pick up
permissions -
+ // the driver does not invoke runAsSparkUser elsewhere, unlike the
executors
SparkHadoopUtil.get.addCredentials(jobConf)
- val inputFormat = getInputFormat(jobConf)
- if (inputFormat.isInstanceOf[Configurable]) {
- inputFormat.asInstanceOf[Configurable].setConf(jobConf)
- }
- val inputSplits = inputFormat.getSplits(jobConf, minPartitions)
- val array = new Array[Partition](inputSplits.size)
- for (i <- 0 until inputSplits.size) {
- array(i) = new HadoopPartition(id, i, inputSplits(i))
- }
- array
+ SparkHadoopUtil.get.runAsSparkUser(() => {
--- End diff --
I don't think we want to do this here (we definitely don't on yarn), see
the comment on runAsSparkUser. Generally you want to do the runAsSparkUser once
as high up as possible
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