org.apache.hadoop.mapred.InputSplitWithLocationInfo

spark-user | Staffan | 2 years ago
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  1. 0

    Re: Issues when combining Spark and a third party java library

    apache.org | 2 years ago
    org.apache.hadoop.mapred.InputSplitWithLocationInfo
  2. 0

    Issues when combining Spark and a third party java library

    spark-user | 2 years ago | Staffan
    org.apache.hadoop.mapred.InputSplitWithLocationInfo
  3. 0

    Spark, mail # user - Re: Issues when combining Spark and a third party java library - 2015-01-26, 15:08

    search-hadoop.com | 2 years ago
    org.apache.hadoop.mapred.InputSplitWithLocationInfo
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  5. 0

    Spark, mail # user - Re: Issues when combining Spark and a third party java library - 2015-01-27, 08:26

    search-hadoop.com | 2 years ago
    org.apache.hadoop.mapred.InputSplitWithLocationInfo
  6. 0

    Re: output folder structure not getting commited and remains as _temporary

    apache.org | 2 years ago
    org.apache.hadoop.mapred.InputSplitWithLocationInfo

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    Root Cause Analysis

    1. org.apache.hadoop.mapred.InputSplitWithLocationInfo

      No message provided

      at java.net.URLClassLoader$1.run()
    2. Java RT
      Class.forName
      1. java.net.URLClassLoader$1.run(URLClassLoader.java:366)
      2. java.net.URLClassLoader$1.run(URLClassLoader.java:355)
      3. java.security.AccessController.doPrivileged(Native Method)
      4. java.net.URLClassLoader.findClass(URLClassLoader.java:354)
      5. java.lang.ClassLoader.loadClass(ClassLoader.java:425)
      6. sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
      7. java.lang.ClassLoader.loadClass(ClassLoader.java:358)
      8. java.lang.Class.forName0(Native Method)
      9. java.lang.Class.forName(Class.java:191)
      9 frames
    3. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.HadoopRDD$SplitInfoReflections.<init>(HadoopRDD.scala:381)
      2. org.apache.spark.rdd.HadoopRDD$.liftedTree1$1(HadoopRDD.scala:391)
      3. org.apache.spark.rdd.HadoopRDD$.<init>(HadoopRDD.scala:390)
      4. org.apache.spark.rdd.HadoopRDD$.<clinit>(HadoopRDD.scala)
      5. org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:159)
      6. org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:194)
      7. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
      8. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
      8 frames
    4. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    5. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
      2. org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
      3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
      4. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
      4 frames
    6. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    7. Spark
      RDD.foreach
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
      2. org.apache.spark.SparkContext.runJob(SparkContext.scala:1328)
      3. org.apache.spark.rdd.RDD.foreach(RDD.scala:765)
      3 frames