[jira] [Closed] (HUDI-3592) Fix NPE of DefaultHoodieRecordPayload if Property is empty

["sivabalan narayanan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HUDI-3592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

sivabalan narayanan closed HUDI-3592.
-------------------------------------
    Resolution: Fixed

> Fix NPE of DefaultHoodieRecordPayload if Property is empty
> ----------------------------------------------------------
>
>                 Key: HUDI-3592
>                 URL: https://issues.apache.org/jira/browse/HUDI-3592
>             Project: Apache Hudi
>          Issue Type: Bug
>            Reporter: Hui An
>            Assignee: Hui An
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.11.0
>
>
> HoodiePayloadProperty could be empty from the code: https://github.com/apache/hudi/blob/548000b0d635067acf7574c4cf5122759e79b52b/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieMergeOnReadRDD.scala#L71
> If we use DefaultHoodieRecordPayload, there could be NPE.
> {code:java}
> Caused by: java.lang.NullPointerException
> 	at org.apache.hudi.avro.HoodieAvroUtils.getNestedFieldVal(HoodieAvroUtils.java:471)
> 	at org.apache.hudi.common.model.DefaultHoodieRecordPayload.updateEventTime(DefaultHoodieRecordPayload.java:93)
> 	at org.apache.hudi.common.model.DefaultHoodieRecordPayload.combineAndGetUpdateValue(DefaultHoodieRecordPayload.java:69)
> 	at org.apache.hudi.HoodieMergeOnReadRDD$$anon$3.mergeRowWithLog(HoodieMergeOnReadRDD.scala:316)
> 	at org.apache.hudi.HoodieMergeOnReadRDD$$anon$3.hasNext(HoodieMergeOnReadRDD.scala:255)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> 	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> 	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
> 	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
> 	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
> 	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:131)
> 	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
> 	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)
> {code}



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