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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