Bug: Skip diagnosis ob merged blocks from push-based shuffle
Status: Resolved | Priority: Major | Resolution: Fixed
Created: 20/Dec/21 12:36
Affects Version/s: 3.2.0

Shuffle corruption diagnosis for push-based shuffle hasn't been supported yet. So we should skip diagnosis on merged blocks, otherwise it could fail:
{code:java}
21/12/19 18:46:37 WARN TaskSetManager: Lost task 166.0 in stage 1921.0 (TID 138855) (beta-spark5 executor 218): java.lang.AssertionError: assertion failed: Expected ShuffleBlockId, but got shuffleChunk_464_0_5645_0
	at scala.Predef$.assert(Predef.scala:223)
	at org.apache.spark.storage.ShuffleBlockFetcherIterator.diagnoseCorruption(ShuffleBlockFetcherIterator.scala:1043)
	at org.apache.spark.storage.BufferReleasingInputStream.$anonfun$tryOrFetchFailedException$1(ShuffleBlockFetcherIterator.scala:1308)
	at scala.Option.map(Option.scala:230)
	at org.apache.spark.storage.BufferReleasingInputStream.tryOrFetchFailedException(ShuffleBlockFetcherIterator.scala:1307)
	at org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:1293)
	at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
	at java.io.BufferedInputStream.read(BufferedInputStream.java:265)
	at java.io.DataInputStream.readInt(DataInputStream.java:387)
	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.readSize(UnsafeRowSerializer.scala:113)
	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.<init>(UnsafeRowSerializer.scala:120)
	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2.asKeyValueIterator(UnsafeRowSerializer.scala:110)
	at org.apache.spark.shuffle.BlockStoreShuffleReader.$anonfun$read$2(BlockStoreShuffleReader.scala:98)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage9.sort_addToSorter_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage9.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage10.smj_findNextJoinRows_0$(Unknown Source)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage10.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$2.hasNext(WholeStageCodegenExec.scala:778)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:179)
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
	at org.apache.spark.scheduler.Task.run(Task.scala:136)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:507)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1468)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:510)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748) {code}