java.io.IOException: Not a file: file:/run at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.ja va:320)

GitHub | ww102111 | 9 months ago
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  1. 0

    GitHub comment 4#242973525

    GitHub | 9 months ago | ww102111
    java.io.IOException: Not a file: file:/run at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.ja va:320)
  2. 0

    Spark, mail # user - Error in "java.io.IOException: No input paths specified in job" - 2016-03-17, 13:22

    search-hadoop.com | 1 year ago
    java.io.IOException: No input paths specified in job at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:201) at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
  3. 0

    Re: Error when loading json to spark

    spark-user | 5 months ago | Raymond Xie
    java.io.IOException: No input paths specified in job > at > org.apache.hadoop.mapred.FileInputFormat.listStatus( FileInputFormat.java:201) > at > org.apache.hadoop.mapred.FileInputFormat.getSplits( FileInputFormat.java:313)
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  5. 0

    Re: Error when loading json to spark

    spark-user | 5 months ago | Raymond Xie
    java.io.IOException: No input paths specified in job > at > org.apache.hadoop.mapred.FileInputFormat.listStatus( FileInputFormat.java:201) > at > org.apache.hadoop.mapred.FileInputFormat.getSplits( FileInputFormat.java:313)
  6. 0

    Re: Error when loading json to spark

    spark-user | 5 months ago | Marco Mistroni
    java.io.IOException: No input paths specified in job > at > org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInpu tFormat.java:201) > at > org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInput Format.java:313)

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    Root Cause Analysis

    1. java.io.IOException

      Not a file: file:/run at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.ja va:320)

      at org.apache.spark.rdd.HadoopRDD.getPartitions()
    2. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
      2. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
      3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
      3 frames
    3. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    4. Spark
      RDD.partitions
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
      1 frame