>From Spark's root pom.xml :
<avro.version>1.7.7</avro.version>
FYI
On Wed, Dec 16, 2015 at 3:06 PM, Igor Berman <igor.ber...@gmail.com> wrote:
> 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
>>
>
>
