org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/Users/greguska/Downloads/mudrod_test_data/Testing_Data_2_ProcessedLog+Meta+Onto/metadata_word_tfidf.csv

GitHub | fgreg | 1 month ago
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  1. 0

    GitHub comment 85#277798472

    GitHub | 1 month ago | fgreg
    org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/Users/greguska/Downloads/mudrod_test_data/Testing_Data_2_ProcessedLog+Meta+Onto/metadata_word_tfidf.csv
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Root Cause Analysis

  1. org.apache.hadoop.mapred.InvalidInputException

    Input path does not exist: file:/Users/greguska/Downloads/mudrod_test_data/Testing_Data_2_ProcessedLog+Meta+Onto/metadata_word_tfidf.csv

    at org.apache.hadoop.mapred.FileInputFormat.listStatus()
  2. Hadoop
    FileInputFormat.getSplits
    1. org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:251)
    2. org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:270)
    2 frames
  3. Spark
    RDD$$anonfun$partitions$2.apply
    1. org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:202)
    2. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
    3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
    3 frames
  4. Scala
    Option.getOrElse
    1. scala.Option.getOrElse(Option.scala:121)
    1 frame
  5. Spark
    RDD$$anonfun$partitions$2.apply
    1. org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
    2. org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
    3. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
    4. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
    4 frames
  6. Scala
    Option.getOrElse
    1. scala.Option.getOrElse(Option.scala:121)
    1 frame
  7. Spark
    AbstractJavaRDDLike.zipWithIndex
    1. org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
    2. org.apache.spark.rdd.ZippedWithIndexRDD.<init>(ZippedWithIndexRDD.scala:44)
    3. org.apache.spark.rdd.RDD$$anonfun$zipWithIndex$1.apply(RDD.scala:1293)
    4. org.apache.spark.rdd.RDD$$anonfun$zipWithIndex$1.apply(RDD.scala:1293)
    5. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    6. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    7. org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
    8. org.apache.spark.rdd.RDD.zipWithIndex(RDD.scala:1292)
    9. org.apache.spark.api.java.JavaRDDLike$class.zipWithIndex(JavaRDDLike.scala:342)
    10. org.apache.spark.api.java.AbstractJavaRDDLike.zipWithIndex(JavaRDDLike.scala:45)
    10 frames
  8. esiptestbed.mudrod.utils
    MatrixUtil.loadVectorFromCSV
    1. esiptestbed.mudrod.utils.MatrixUtil.loadVectorFromCSV(MatrixUtil.java:423)
    1 frame
  9. esiptestbed.mudrod.semantics
    SVDAnalyzer.getSVDMatrix
    1. esiptestbed.mudrod.semantics.SVDAnalyzer.getSVDMatrix(SVDAnalyzer.java:63)
    1 frame
  10. esiptestbed.mudrod.recommendation
    AbstractBasedSimilarity.execute
    1. esiptestbed.mudrod.recommendation.process.AbstractBasedSimilarity.execute(AbstractBasedSimilarity.java:64)
    1 frame
  11. esiptestbed.mudrod.discoveryengine
    RecommendEngine.process
    1. esiptestbed.mudrod.discoveryengine.RecommendEngine.process(RecommendEngine.java:71)
    1 frame
  12. esiptestbed.mudrod.main
    MudrodEngine.main
    1. esiptestbed.mudrod.main.MudrodEngine.startProcessing(MudrodEngine.java:270)
    2. esiptestbed.mudrod.main.MudrodEngine.main(MudrodEngine.java:411)
    2 frames