[Bug] Under high pressure situations, reading data may encounter the issue of "Blocks read inconsistent"

[rickyma]

Code of Conduct

• I agree to follow this project's Code of Conduct

Search before asking

• I have searched in the issues and found no similar issues.

Describe the bug

[19:30:48:677] [Executor task launch worker for task 15111.2 in stage 4.0 (TID 83474)] ERROR org.apache.spark.executor.Executor.logError:98 - Exception in task 15111.2 in stage 4.0 (TID 83474)
org.apache.uniffle.common.exception.RssException: Blocks read inconsistent: expected 23357 blocks, actual 19597 blocks
	at org.apache.uniffle.common.util.RssUtils.checkProcessedBlockIds(RssUtils.java:382) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.uniffle.client.impl.ShuffleReadClientImpl.checkProcessedBlockIds(ShuffleReadClientImpl.java:321) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.spark.shuffle.reader.RssShuffleDataIterator.hasNext(RssShuffleDataIterator.java:131) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.shuffle.reader.RssShuffleReader$MultiPartitionIterator.hasNext(RssShuffleReader.java:317) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) ~[scala-library-2.12.15.jar:?]
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.hashAgg_doAggregateWithoutKey_0$(Unknown Source) ~[?:?]
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.processNext(Unknown Source) ~[?:?]
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) ~[spark-sql_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) ~[spark-sql_2.12-3.3.1.jar:3.3.1]
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) ~[scala-library-2.12.15.jar:?]
	at org.apache.spark.shuffle.writer.RssShuffleWriter.writeImpl(RssShuffleWriter.java:266) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.spark.shuffle.writer.RssShuffleWriter.write(RssShuffleWriter.java:247) ~[rss-client-spark3-shaded-0.9.0-SNAPSHOT.jar:?]
	at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.scheduler.Task.run(Task.scala:136) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1556) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) ~[spark-core_2.12-3.3.1.jar:3.3.1]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) ~[?:1.8.0_392]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ~[?:1.8.0_392]
	at java.lang.Thread.run(Thread.java:750) ~[?:1.8.0_392]

Affects Version(s)

master

Uniffle Server Log Output

No response

Uniffle Engine Log Output

No response

Uniffle Server Configurations

No response

Uniffle Engine Configurations

No response

Additional context

No response

Are you willing to submit PR?

• Yes I am willing to submit a PR!

[rickyma]

The root cause of this issue is #1626, which will be fixed by #1627.

And I think maybe we can improve this: when there are flush events being dropped(We need to distinguish a scenario: if it's a speculative write task, we allow them to be dropped), we can fast fail when reading data, instead of lagging until throwing "Blocks read inconsistent" exceptions.