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Posted to dev@pig.apache.org by "Nandor Kollar (JIRA)" <ji...@apache.org> on 2017/02/23 08:18:44 UTC
[jira] [Updated] (PIG-5134) fix TestAvroStorage unit test failures
after PIG-5132
[ https://issues.apache.org/jira/browse/PIG-5134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nandor Kollar updated PIG-5134:
-------------------------------
Description:
It seems that test fails, because Avro GenericData#Record doesn't implement Serializable interface:
{code}
2017-02-23 09:14:41,887 ERROR [main] spark.JobGraphBuilder (JobGraphBuilder.java:sparkOperToRDD(183)) - throw exception in sparkOperToRDD:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 9.0 (TID 9) had a not serializable result: org.apache.avro.generic.GenericData$Record
Serialization stack:
- object not serializable (class: org.apache.avro.generic.GenericData$Record, value: {"key": "stuff in closet", "value1": {"thing": "hat", "count": 7}, "value2": {"thing": "coat", "count": 2}})
- field (class: org.apache.pig.impl.util.avro.AvroTupleWrapper, name: avroObject, type: interface org.apache.avro.generic.IndexedRecord)
- object (class org.apache.pig.impl.util.avro.AvroTupleWrapper, org.apache.pig.impl.util.avro.AvroTupleWrapper@3d3a58c1)
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
{code}
The failing tests is a new test introduced with merging trunk to spark branch, that's why we didn't see this error before.
> fix TestAvroStorage unit test failures after PIG-5132
> ------------------------------------------------------
>
> Key: PIG-5134
> URL: https://issues.apache.org/jira/browse/PIG-5134
> Project: Pig
> Issue Type: Sub-task
> Components: spark
> Reporter: liyunzhang_intel
> Assignee: Nandor Kollar
> Fix For: spark-branch
>
>
> It seems that test fails, because Avro GenericData#Record doesn't implement Serializable interface:
> {code}
> 2017-02-23 09:14:41,887 ERROR [main] spark.JobGraphBuilder (JobGraphBuilder.java:sparkOperToRDD(183)) - throw exception in sparkOperToRDD:
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 9.0 (TID 9) had a not serializable result: org.apache.avro.generic.GenericData$Record
> Serialization stack:
> - object not serializable (class: org.apache.avro.generic.GenericData$Record, value: {"key": "stuff in closet", "value1": {"thing": "hat", "count": 7}, "value2": {"thing": "coat", "count": 2}})
> - field (class: org.apache.pig.impl.util.avro.AvroTupleWrapper, name: avroObject, type: interface org.apache.avro.generic.IndexedRecord)
> - object (class org.apache.pig.impl.util.avro.AvroTupleWrapper, org.apache.pig.impl.util.avro.AvroTupleWrapper@3d3a58c1)
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
> {code}
> The failing tests is a new test introduced with merging trunk to spark branch, that's why we didn't see this error before.
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