check version compatibility I think avro lib should be 1.7.4 check that no other lib brings transitive dependency of other avro version
On 16 December 2015 at 09:44, Jinyuan Zhou <zhou.jiny...@gmail.com> wrote: > Hi, I tried to load avro files in hdfs but keep getting NPE. > I am using AvroKeyValueInputFormat inside newAPIHadoopFile method. Anyone > have any clue? Here is stack trace > > Exception in thread "main" org.apache.spark.SparkException: Job aborted > due to stage failure: Task 4 in stage 0.0 failed 4 times, most recent > failure: Lost task 4.3 in stage 0.0 (TID 11, xyz.abc.com): > java.lang.NullPointerException > > at org.apache.avro.Schema.getAliases(Schema.java:1415) > > at org.apache.avro.Schema.getAliases(Schema.java:1429) > > at org.apache.avro.Schema.applyAliases(Schema.java:1340) > > at > org.apache.avro.generic.GenericDatumReader.getResolver(GenericDatumReader.java:125) > > at > org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:140) > > at org.apache.avro.file.DataFileStream.next(DataFileStream.java:233) > > at > org.apache.avro.mapreduce.AvroRecordReaderBase.nextKeyValue(AvroRecordReaderBase.java:118) > > at > org.apache.avro.mapreduce.AvroKeyValueRecordReader.nextKeyValue(AvroKeyValueRecordReader.java:62) > > at > org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:143) > > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > > at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1626) > > at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099) > > at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099) > > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) > > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767) > > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) > > at org.apache.spark.scheduler.Task.run(Task.scala:70) > > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > > at java.lang.Thread.run(Thread.java:744) > > > Thanks, > > Jack > Jinyuan (Jack) Zhou >
