Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/3907#discussion_r22515175
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -198,12 +190,19 @@ class HadoopRDD[K, V](
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))
+ // SPARK-5068:catch the exception when the path is not exists
+ try {
+ 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
+ } catch {
+ case e: InvalidInputException => {
--- End diff --
Is there a more direct and reliable way to detect if the path doesn't exist
here than catching a general exception? this risks silently swallowing errors
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