Sure, This is the full exception stacktrace:
Exception in thread "main"
org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at
org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
at
org.apache.flink.runtime.minicluster.MiniClusterJobClient.lambda$getJobExecutionResult$2(MiniClusterJobClient.java:117)
at
java.base/java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:642)
at
java.base/java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:506)
at
java.base/java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:2137)
at
org.apache.flink.runtime.rpc.akka.AkkaInvocationHandler.lambda$invokeRpc$0(AkkaInvocationHandler.java:238)
at
java.base/java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:859)
at
java.base/java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:837)
at
java.base/java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:506)
at
java.base/java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:2137)
at
org.apache.flink.runtime.concurrent.FutureUtils$1.onComplete(FutureUtils.java:1046)
at akka.dispatch.OnComplete.internal(Future.scala:264)
at akka.dispatch.OnComplete.internal(Future.scala:261)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:191)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:188)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at
org.apache.flink.runtime.concurrent.Executors$DirectExecutionContext.execute(Executors.java:73)
at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:68)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1(Promise.scala:284)
at
scala.concurrent.impl.Promise$DefaultPromise.$anonfun$tryComplete$1$adapted(Promise.scala:284)
at
scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:284)
at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:573)
at
akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:22)
at
akka.pattern.PipeToSupport$PipeableFuture$$anonfun$pipeTo$1.applyOrElse(PipeToSupport.scala:21)
at scala.concurrent.Future.$anonfun$andThen$1(Future.scala:531)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:29)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:29)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:60)
at
akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
at
akka.dispatch.BatchingExecutor$BlockableBatch.$anonfun$run$1(BatchingExecutor.scala:91)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:12)
at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:81)
at
akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:91)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:44)
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: org.apache.flink.runtime.JobException: Recovery is suppressed by
NoRestartBackoffTimeStrategy
at
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:118)
at
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:80)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:233)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:224)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:215)
at
org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:665)
at
org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:89)
at
org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:447)
at jdk.internal.reflect.GeneratedMethodAccessor11.invoke(Unknown Source)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:564)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:306)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:213)
at
org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77)
at
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:159)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at akka.actor.Actor.aroundReceive(Actor.scala:517)
at akka.actor.Actor.aroundReceive$(Actor.scala:515)
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)
... 4 more
Caused by: java.lang.NumberFormatException: For input string: "64M"
at
java.base/java.lang.NumberFormatException.forInputString(NumberFormatException.java:68)
at java.base/java.lang.Long.parseLong(Long.java:707)
at java.base/java.lang.Long.parseLong(Long.java:832)
at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:1563)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:248)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3414)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:158)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3474)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3442)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:524)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365)
at
org.apache.parquet.hadoop.util.HadoopInputFile.fromPath(HadoopInputFile.java:38)
at com.neura.ParquetSourceFunction.run(Job.scala:45)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:110)
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:66)
at
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:241)
On Thu, Mar 4, 2021 at 6:02 PM Chesnay Schepler <ches...@apache.org> wrote:
> Can you show us the full exception stacktrace? Intuitively I would think
> your cluster configuration contains an invalid value for some memory
> configuration option.
>
> On 3/4/2021 4:45 PM, Avi Levi wrote:
>
> Hi ,
> I am pretty new. I am keep on struggling to read a file from s3 but
> getting this weird exception :
> Caused by: java.lang.NumberFormatException: For input string: "64M" (if
> anyone can link me to a working github example that will be awesome) . what
> am i doing wrong?
>
> This is how my code looks like this :
>
> import org.apache.flink.api.scala.createTypeInformationimport
> org.apache.flink.streaming.api.functions.source.SourceFunctionimport
> org.apache.flink.streaming.api.scala.StreamExecutionEnvironmentimport
> org.apache.hadoop.conf.Configurationimport org.apache.hadoop.fs.Pathimport
> org.apache.parquet.column.page.PageReadStoreimport
> org.apache.parquet.example.data.simple.convert.GroupRecordConverterimport
> org.apache.parquet.hadoop.ParquetFileReaderimport
> org.apache.parquet.hadoop.util.HadoopInputFileimport
> org.apache.parquet.io.ColumnIOFactory
> class ParquetSourceFunction extends SourceFunction[String]{
> override def run(ctx: SourceFunction.SourceContext[String]): Unit = {
> val inputPath = "s3a://foo/year=2000/month=02/" val conf = new
> Configuration()
> conf.set("fs.s3a.impl","org.apache.hadoop.fs.s3a.S3AFileSystem")
> val hadoopFile = HadoopInputFile.fromPath(new Path(inputPath), conf)
> val readFooter = ParquetFileReader.open(hadoopFile)
> val metadata = readFooter.getFileMetaData
> val schema = metadata.getSchema
> val parquetFileReader = new ParquetFileReader(conf, metadata, new
> Path(inputPath), readFooter.getRowGroups, schema.getColumns) var pages:
> PageReadStore = null try {
> while ({ pages = parquetFileReader.readNextRowGroup; pages != null }) {
> val rows = pages.getRowCount
> val columnIO = new ColumnIOFactory().getColumnIO(schema)
> val recordReader = columnIO.getRecordReader(pages, new
> GroupRecordConverter(schema))
> (0L until rows).foreach { _ =>
> val group = recordReader.read()
> val myString = group.getString("field_name", 0)
> ctx.collect(myString)
> }
> }
> }
> }
>
> override def cancel(): Unit = ???}
> object Job {
> def main(args: Array[String]): Unit = {
> // set up the execution environment lazy val env =
> StreamExecutionEnvironment.getExecutionEnvironment lazy val stream =
> env.addSource(new ParquetSourceFunction)
> stream.print()
> env.execute()
> }
> }
>
> sbt dependencies :
>
> ThisBuild / scalaVersion := "2.12.1"val flinkVersion = "1.12.1"val
> awsSdkVersion = "1.7.4"val hadoopVersion = "2.7.3"val flinkDependencies = Seq(
> "org.apache.flink" %% "flink-clients" % flinkVersion,// % "provided",
> "org.apache.flink" %% "flink-scala" % flinkVersion,// % "provided",
> "org.apache.flink" %% "flink-streaming-scala" % flinkVersion, // %
> "provided") "org.apache.flink" %% "flink-parquet" % flinkVersion,
> "org.apache.flink" %% "flink-hadoop-compatibility" % flinkVersion)
> val s3Dependencies = Seq(
> ("com.amazonaws" % "aws-java-sdk" % awsSdkVersion), ("org.apache.hadoop" %
> "hadoop-aws" % hadoopVersion)
> )
> val serializationDependencies = Seq(
> ("org.apache.avro" % "avro" % "1.7.7"), ("org.apache.avro" % "avro-mapred"
> % "1.7.7").classifier("hadoop2"), ("org.apache.parquet" % "parquet-avro" %
> "1.8.1"))
> lazy val root = (project in file(".")).
> settings(
> libraryDependencies ++= flinkDependencies, libraryDependencies ++=
> s3Dependencies, libraryDependencies ++= serializationDependencies,
> libraryDependencies += "org.apache.hadoop" % "hadoop-common" % "3.3.0" ,
> libraryDependencies += "org.apache.parquet" % "parquet-hadoop" % "1.11.1",
> libraryDependencies += "org.apache.flink" %% "flink-table-planner-blink" %
> "1.12.1" //% "provided" )
>
>
>
