flink sql 读取hive 表报错

关键字: java.lang.IllegalArgumentException
One or more fetchers have encountered exception
SplitFetcher thread 0 received unexpected exception while polling the records

报错内容

org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:116)
	at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:78)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:224)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:217)
	at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:208)
	at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:610)
	at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:89)
	at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:419)
	at sun.reflect.GeneratedMethodAccessor81.invoke(Unknown Source)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:286)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:201)
	at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
	at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:154)
	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
	at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
	at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
	at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
	at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
	at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
	at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
	at akka.actor.ActorCell.invoke(ActorCell.scala:561)
	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
	at akka.dispatch.Mailbox.run(Mailbox.scala:225)
	at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
	at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
	at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
	at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
	at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.RuntimeException: One or more fetchers have encountered exception
	at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcherManager.checkErrors(SplitFetcherManager.java:186)
	at org.apache.flink.connector.base.source.reader.SourceReaderBase.getNextFetch(SourceReaderBase.java:153)
	at org.apache.flink.connector.base.source.reader.SourceReaderBase.pollNext(SourceReaderBase.java:114)
	at org.apache.flink.streaming.api.operators.SourceOperator.emitNext(SourceOperator.java:251)
	at org.apache.flink.streaming.runtime.io.StreamTaskSourceInput.emitNext(StreamTaskSourceInput.java:65)
	at org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:67)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:372)
	at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:186)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:575)
	at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:539)
	at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:722)
	at org.apache.flink.runtime.taskmanager.Task.run(Task.java:547)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.RuntimeException: SplitFetcher thread 0 received unexpected exception while polling the records
	at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:143)
	at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.run(SplitFetcher.java:100)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	... 1 more
Caused by: java.lang.IllegalArgumentException
	at java.nio.Buffer.position(Buffer.java:244)
	at java.nio.HeapByteBuffer.get(HeapByteBuffer.java:153)
	at java.nio.ByteBuffer.get(ByteBuffer.java:715)
	at org.apache.flink.hive.shaded.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes(Binary.java:422)
	at org.apache.flink.hive.shaded.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:79)
	at org.apache.flink.hive.shaded.formats.parquet.vector.reader.BytesColumnReader.readBatchFromDictionaryIds(BytesColumnReader.java:33)
	at org.apache.flink.hive.shaded.formats.parquet.vector.reader.AbstractColumnReader.readToVector(AbstractColumnReader.java:199)
	at org.apache.flink.hive.shaded.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.nextBatch(ParquetVectorizedInputFormat.java:359)
	at org.apache.flink.hive.shaded.formats.parquet.ParquetVectorizedInputFormat$ParquetReader.readBatch(ParquetVectorizedInputFormat.java:328)
	at org.apache.flink.connector.file.src.impl.FileSourceSplitReader.fetch(FileSourceSplitReader.java:70)
	at org.apache.flink.connector.base.source.reader.fetcher.FetchTask.run(FetchTask.java:58)
	at org.apache.flink.connector.base.source.reader.fetcher.SplitFetcher.runOnce(SplitFetcher.java:136)
	... 6 more

解决方案

官网链接：https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/table/connectors/hive/hive_read_write.html#vectorized-optimization-upon-read

a、用sql-cli可以配置在flink包下的/conf包里sql-client-defaults.yaml这个文件里

configuration:
  table.exec.hive.fallback-mapred-reader: true

b、如果是在代码里提交flink sql，像下面这样配置Configuration就好：

Configuration configuration = tableEnv.getConfig().getConfiguration();
configuration.setString("table.exec.hive.fallback-mapred-reader", "true");

3、如果你