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https://issues.apache.org/jira/browse/HUDI-4238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sagar Sumit updated HUDI-4238:
------------------------------
    Fix Version/s: 0.12.1
                       (was: 0.12.0)

> Revisit TestCOWDataSourceStorage#testCopyOnWriteStorage
> -------------------------------------------------------
>
>                 Key: HUDI-4238
>                 URL: https://issues.apache.org/jira/browse/HUDI-4238
>             Project: Apache Hudi
>          Issue Type: Task
>          Components: tests-ci
>            Reporter: Rahil Chertara
>            Priority: Major
>             Fix For: 0.12.1
>
>
> Within the pr (Support Hadoop 3.x Hive 3.x and Spark 3.x) 
> [https://github.com/apache/hudi/pull/5786,|https://github.com/apache/hudi/pull/5786]
>  
>  
> The testCopyOnWriteStorage has an issue with the test case where `nation` is 
> added to the recordKeys. When debugging further it seems that this is due to 
> an issue with avro 1.10.2 being used since it adds the following to the schema
> ```
> "nation":"Canada"
> ```
> instead of adding
> ```
> "nation": {
> "bytes":"Canada"
> }
> ```
> This leads to the exception later for this test case since when nation is 
> being retrieved from the record, since `getNestedFieldVal` expects the value 
> to be nested as opposed to a String.  
> ```
>  
>  at 
> org.apache.hudi.avro.HoodieAvroUtils.getNestedFieldVal(HoodieAvroUtils.java:514)
>  
>  at 
> org.apache.hudi.avro.HoodieAvroUtils.getNestedFieldValAsString(HoodieAvroUtils.java:487)
>  
>  at org.apache.hudi.keygen.KeyGenUtils.getRecordKey(KeyGenUtils.java:96) 
>  at 
> org.apache.hudi.keygen.ComplexAvroKeyGenerator.getRecordKey(ComplexAvroKeyGenerator.java:47)
>  
>  at 
> org.apache.hudi.keygen.ComplexKeyGenerator.getRecordKey(ComplexKeyGenerator.java:53)
>  
>  at org.apache.hudi.keygen.BaseKeyGenerator.getKey(BaseKeyGenerator.java:65) 
>  at 
> org.apache.hudi.HoodieSparkSqlWriter$.$anonfun$write$10(HoodieSparkSqlWriter.scala:279)
>  
>  at scala.collection.Iterator$$anon$10.next(Iterator.scala:459) 
>  at 
> org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:224)
>  
>  at 
> org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:352)
>  
>  at 
> org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1498)
>  
>  at 
> org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1408)
>  
>  at 
> org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1472) 
>  at 
> org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1295)
>  
>  at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384) 
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:335) 
>  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.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.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
>  
>  at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) 
>  at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) 
>  at org.apache.spark.scheduler.Task.run(Task.scala:131) 
>  at 
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
>  
>  at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) 
>  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) 
>  at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>  
>  at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>  
>  at java.lang.Thread.run(Thread.java:750) 
> ```



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