Github user liutang123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19464#discussion_r144235417
--- Diff: core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala ---
@@ -122,7 +122,10 @@ class NewHadoopRDD[K, V](
case _ =>
}
val jobContext = new JobContextImpl(_conf, jobId)
- val rawSplits = inputFormat.getSplits(jobContext).toArray
+ var rawSplits =
inputFormat.getSplits(jobContext).toArray(Array.empty[InputSplit])
+ if
(sparkContext.getConf.getBoolean("spark.hadoop.filterOutEmptySplit", false)) {
+ rawSplits = rawSplits.filter(_.getLength>0)
--- End diff --
Is there any one use empty file to do something ?
for example:
sc.textFile("/somepath/*").mapPartitions(....)
setting this flag to true by default may change the behavior of user's
application.
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