I meant that I did not have to use kyro. Why will kyro help fix this issue now ?
Sent from my iPhone > On 03-Apr-2015, at 5:36 pm, Deepak Jain <deepuj...@gmail.com> wrote: > > I was able to write record that extends specificrecord (avro) this class was > not auto generated. Do we need to do something extra for auto generated > classes > > Sent from my iPhone > >> On 03-Apr-2015, at 5:06 pm, Akhil Das <ak...@sigmoidanalytics.com> wrote: >> >> This thread might give you some insights >> http://mail-archives.apache.org/mod_mbox/incubator-spark-user/201311.mbox/%3CCA+WVT8WXbEHac=N0GWxj-s9gqOkgG0VRL5B=ovjwexqm8ev...@mail.gmail.com%3E >> >> Thanks >> Best Regards >> >>> On Fri, Apr 3, 2015 at 3:53 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) <deepuj...@gmail.com> wrote: >>> My Spark Job failed with >>> >>> >>> 15/04/03 03:15:36 INFO scheduler.DAGScheduler: Job 0 failed: >>> saveAsNewAPIHadoopFile at AbstractInputHelper.scala:103, took 2.480175 s >>> 15/04/03 03:15:36 ERROR yarn.ApplicationMaster: User class threw exception: >>> Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 0) had a not >>> serializable result: >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum >>> Serialization stack: >>> - object not serializable (class: >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum, value: >>> {"userId": 0, "spsPrgrmId": 0, "spsSlrLevelCd": 0, "spsSlrLevelSumStartDt": >>> null, "spsSlrLevelSumEndDt": null, "currPsLvlId": null}) >>> - field (class: scala.Tuple2, name: _2, type: class java.lang.Object) >>> - object (class scala.Tuple2, (0,{"userId": 0, "spsPrgrmId": 0, >>> "spsSlrLevelCd": 0, "spsSlrLevelSumStartDt": null, "spsSlrLevelSumEndDt": >>> null, "currPsLvlId": null})) >>> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 >>> in stage 2.0 (TID 0) had a not serializable result: >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum >>> Serialization stack: >>> - object not serializable (class: >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum, value: >>> {"userId": 0, "spsPrgrmId": 0, "spsSlrLevelCd": 0, "spsSlrLevelSumStartDt": >>> null, "spsSlrLevelSumEndDt": null, "currPsLvlId": null}) >>> - field (class: scala.Tuple2, name: _2, type: class java.lang.Object) >>> - object (class scala.Tuple2, (0,{"userId": 0, "spsPrgrmId": 0, >>> "spsSlrLevelCd": 0, "spsSlrLevelSumStartDt": null, "spsSlrLevelSumEndDt": >>> null, "currPsLvlId": null})) >>> at >>> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191) >>> at >>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >>> at >>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) >>> at >>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) >>> at scala.Option.foreach(Option.scala:236) >>> at >>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393) >>> at >>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354) >>> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >>> 15/04/03 03:15:36 INFO yarn.ApplicationMaster: Final app status: FAILED, >>> exitCode: 15, (reason: User class threw exception: Job aborted due to stage >>> failure: Task 0.0 in stage 2.0 (TID 0) had a not serializable result: >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum >>> Serialization stack: >>> >>> .... >>> >>> com.ebay.ep.poc.spark.reporting.process.model.dw.SpsLevelMetricSum is auto >>> generated through avro schema using avro-generate-sources maven pulgin. >>> >>> >>> package com.ebay.ep.poc.spark.reporting.process.model.dw; >>> >>> @SuppressWarnings("all") >>> >>> @org.apache.avro.specific.AvroGenerated >>> >>> public class SpsLevelMetricSum extends >>> org.apache.avro.specific.SpecificRecordBase implements >>> org.apache.avro.specific.SpecificRecord { >>> >>> ... >>> ... >>> } >>> >>> Can anyone suggest how to fix this ? >>> >>> >>> >>> -- >>> Deepak >>