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Posted to user@spark.apache.org by Jinyuan Zhou <zh...@gmail.com> on 2015/12/16 08:44:22 UTC
NPE in using AvroKeyValueInputFormat for newAPIHadoopFile
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
Re: NPE in using AvroKeyValueInputFormat for newAPIHadoopFile
Posted by Ted Yu <yu...@gmail.com>.
>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 <ig...@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 <zh...@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
>>
>
>
Re: NPE in using AvroKeyValueInputFormat for newAPIHadoopFile
Posted by Igor Berman <ig...@gmail.com>.
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 <zh...@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
>