java.io.IOException: Could not read footer: java.lang.NoClassDefFoundError: parquet/org/codehaus/jackson/JsonGenerationException at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:189) at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(ParquetFileReader.java:145) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:354) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:339) at >> parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:246) at >> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:85)

Google Groups | Uri Laserson | 3 years ago
  1. 0

    Re: Using Parquet from an interactive Spark shell

    Google Groups | 3 years ago | Uri Laserson
    java.io.IOException: Could not read footer: java.lang.NoClassDefFoundError: parquet/org/codehaus/jackson/JsonGenerationException at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:189) at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(ParquetFileReader.java:145) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:354) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:339) at >> parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:246) at >> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:85)
  2. 0

    Re: spark with standalone HBase

    apache.org | 1 year ago
    java.io.IOException: No table was provided. at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:154)
  3. 0

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

    search-hadoop.com | 8 months 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)
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  5. 0

    GitHub comment 4#242973525

    GitHub | 3 months ago | ww102111
    java.io.IOException: Not a file: file:/run at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.ja va:320)
  6. 0

    Re: Using Parquet from an interactive Spark shell

    Google Groups | 3 years ago | Uri Laserson
    java.io.IOException: Could not read footer: java.lang.NoClassDefFoundError: parquet/org/codehaus/jackson/JsonGenerationException at >>>>>> parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:189) at >>>>>> parquet.hadoop.ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(ParquetFileReader.java:145) at >>>>>> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:354) at >>>>>> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:339) at >>>>>> parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:246) at >>>>>> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:85) at >>>>>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207) at >>>>>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)

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    Root Cause Analysis

    1. java.io.IOException

      Could not read footer: java.lang.NoClassDefFoundError: parquet/org/codehaus/jackson/JsonGenerationException at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:189) at >> parquet.hadoop.ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(ParquetFileReader.java:145) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:354) at >> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:339) at >> parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:246) at >> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:85)

      at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply()
    2. Spark
      RDD$$anonfun$partitions$2.apply
      1. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207)
      2. org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
      2 frames
    3. Scala
      Option.getOrElse
      1. scala.Option.getOrElse(Option.scala:120)
      1 frame
    4. Spark
      RDD.collect
      1. org.apache.spark.rdd.RDD.partitions(RDD.scala:205)
      2. org.apache.spark.SparkContext.runJob(SparkContext.scala:863)
      3. org.apache.spark.rdd.RDD.collect(RDD.scala:602)
      3 frames
    5. Unknown
      $iwC.<init>
      1. $iwC$$iwC$$iwC$$iwC.<init>(<console>:20)
      2. $iwC$$iwC$$iwC.<init>(<console>:25)
      3. $iwC$$iwC.<init>(<console>:27)
      4. $iwC.<init>(<console>:29)
      4 frames