Hey Jeff,

Which Flink version are you using?
Have you tried configuring the S3 filesystem via Flink's  config yaml?
Afaik all config parameters prefixed with "s3." are mirrored into the
Hadoop file system connector.


On Mon, May 4, 2020 at 8:45 PM Jeff Henrikson <jehenri...@gmail.com> wrote:

>  > 2) How can I tell if flink-s3-fs-hadoop is actually managing to pick up
>  > the hadoop configuration I have provided, as opposed to some separate
>  > default configuration?
>
> I'm reading the docs and source of flink-fs-hadoop-shaded.  I see that
> core-default-shaded.xml has fs.s3a.connection.maximum set to 15.  I have
> around 20 different DataStreams being instantiated from S3, so if they
> each require one connection to be healthy, then 15 is definitely not a
> good value.
>
> However, I seem to be unable to override fs.s3a.connection.maximum using
> my core-site.xml.  I am also unable to see the DEBUG level messages for
> the shaded flink-fs-hadoop-shaded if I set log4j.rootLogger=DEBUG.
>
> So now I'm wondering:
>
>      1) Anybody know how to see DEBUG output for flink-fs-hadoop-shaded?
>
>      2) Am I going to end up rebuilding flink-fs-hadoop-shaded to
>      override the config?
>
>
> Thanks in advance,
>
>
> Jeff Henrikson
>
>
>
>
> https://github.com/apache/flink/tree/master/flink-filesystems/flink-fs-hadoop-shaded
>
>
> https://github.com/apache/flink/blob/master/flink-filesystems/flink-fs-hadoop-shaded/src/main/resources/core-default-shaded.xml
>
>    <property>
>      <name>fs.s3a.connection.maximum</name>
>      <value>15</value>
>      <description>Controls the maximum number of simultaneous
> connections to S3.</description>
>    </property>
>
>
>
>
> On 5/1/20 7:30 PM, Jeff Henrikson wrote:
> > Hello Flink users,
> >
> > I could use help with three related questions:
> >
> > 1) How can I observe retries in the flink-s3-fs-hadoop connector?
> >
> > 2) How can I tell if flink-s3-fs-hadoop is actually managing to pick up
> > the hadoop configuration I have provided, as opposed to some separate
> > default configuration?  My job fails quickly when I read larger or more
> > numerous objects from S3.  I conjecture the failure may be related to
> > insufficient retries when S3 throttles.
> >
> > 3) What s3 fault recovery approach would you recommend?
> >
> > Background:
> >
> > I am having trouble with reliable operation of the flink-s3-fs-hadoop
> > connector.   My application sources all its DataStream data from S3, and
> > appears to get frequently throttled by s3:
> >
> >      Caused by:
> >      org.apache.flink.streaming.runtime.tasks.AsynchronousException:
> >      Caught exception when processing split: [0]
> >      s3://bucketname/1d/2020/04/15/00-00-00-customers.csv mod@
> >      1586911084000 : 0 + 33554432
> >      . . .
> >      Caused by: java.io.InterruptedIOException: Failed to open
> >      s3a://bucketname/1d/2020/04/15/00-00-00-customers.csv at 0 on
> >      s3a://bucketname/1d/2020/04/15/00-00-00-customers.csv:
> >      com.amazonaws.SdkClientException: Unable to execute HTTP request:
> >      Timeout waiting for connection from pool
> >
> > The s3 throttling does not seem to trigger retries and so
> > causes the job to fail.  For troubleshooting purposes, the job stays up
> > for much longer if I reduce s3 inputs to my job by disabling
> functionality.
> >
> > I see in the documentation for hadoop-aws that there are properties
> > such as fs.s3.maxRetries fs.s3.sleepTimeSeconds for handling retries
> > within hadoop.
> >
> > After wrangling with some classpath troubles, I managed to get
> > flink-shaded-hadoop-2-uber-2.8.3-10.0.jar to parse a set of hadoop
> > configuration files {core/hdfs/mapred/yarn}-site.xml.  I can confirm
> > that the cluster parses the configuration by passing invalid xml and
> > seeing the cluster crash.
> >
> > The puzzle with which I am now faced is that the configuration for
> > retries and timeouts in core-site.xml seems to have no effect on the
> > application.
> >
> > I deploy in kubernetes with a custom docker image.  For now, I have
> > not enabled the zookeeper-based HA.
> >
> > See below for a frequent stacktrace that I interpret as likely to be
> > caused by s3 throttling.
> >
> > Thanks in advance for any help.
> >
> > Regards,
> >
> >
> > Jeff Henrikson
> >
> >
> >
> >      2020-04-30 19:35:24
> >      org.apache.flink.runtime.JobException: Recovery is suppressed by
> > NoRestartBackoffTimeStrategy
> >          at
> >
> org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:110)
>
> >
> >          at
> >
> org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:76)
>
> >
> >          at
> >
> org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:192)
>
> >
> >          at
> >
> org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:186)
>
> >
> >          at
> >
> org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:180)
>
> >
> >          at
> >
> org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:484)
>
> >
> >          at
> >
> org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:380)
>
> >
> >          at
> > jdk.internal.reflect.GeneratedMethodAccessor66.invoke(Unknown Source)
> >          at
> >
> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> >
> >          at java.base/java.lang.reflect.Method.invoke(Method.java:566)
> >          at
> >
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:279)
>
> >
> >          at
> >
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:194)
>
> >
> >          at
> >
> org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
>
> >
> >          at
> >
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:152)
>
> >
> >          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$(Actor.scala:515)
> >          at
> akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
> >          at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
> >          at akka.actor.ActorCell.invoke(ActorCell.scala:561)
> >          at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
> >          at akka.dispatch.Mailbox.run(Mailbox.scala:225)
> >          at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
> >          at
> > akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> >          at
> >
> akka.dispatch.forkjoin.ForkJoinPool$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.streaming.runtime.tasks.AsynchronousException: Caught
> > exception when processing split: [0]
> > s3://bucketname/1d/2020/04/15/00-00-00-customers.csv mod@ 1586911084000
> > : 0 + 33554432
> >          at
> >
> org.apache.flink.streaming.runtime.tasks.StreamTask$StreamTaskAsyncExceptionHandler.handleAsyncException(StreamTask.java:1090)
>
> >
> >          at
> >
> org.apache.flink.streaming.runtime.tasks.StreamTask.handleAsyncException(StreamTask.java:1058)
>
> >
> >          at
> >
> org.apache.flink.streaming.api.functions.source.ContinuousFileReaderOperator$SplitReader.run(ContinuousFileReaderOperator.java:351)
>
> >
> >      Caused by: java.io.InterruptedIOException: Failed to open
> > s3a://bucketname/1d/2020/04/15/00-00-00-customers.csv at 0 on
> > s3a://bucketname/1d/2020/04/15/00-00-00-customers.csv:
> > com.amazonaws.SdkClientException: Unable to execute HTTP request:
> > Timeout waiting for connection from pool
> >          at
> >
> org.apache.hadoop.fs.s3a.S3AUtils.translateInterruptedException(S3AUtils.java:340)
>
> >
> >          at
> > org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:171)
> >          at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:111)
> >          at
> > org.apache.hadoop.fs.s3a.S3AInputStream.reopen(S3AInputStream.java:181)
> >          at
> >
> org.apache.hadoop.fs.s3a.S3AInputStream.lambda$lazySeek$1(S3AInputStream.java:327)
>
> >
> >          at
> > org.apache.hadoop.fs.s3a.Invoker.lambda$retry$2(Invoker.java:190)
> >          at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:109)
> >          at
> > org.apache.hadoop.fs.s3a.Invoker.lambda$retry$3(Invoker.java:260)
> >          at
> > org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:317)
> >          at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:256)
> >          at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:188)
> >          at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:210)
> >          at
> > org.apache.hadoop.fs.s3a.S3AInputStream.lazySeek(S3AInputStream.java:320)
> >          at
> > org.apache.hadoop.fs.s3a.S3AInputStream.read(S3AInputStream.java:428)
> >          at
> > java.base/java.io.DataInputStream.read(DataInputStream.java:149)
> >          at
> >
> org.apache.flink.fs.s3hadoop.common.HadoopDataInputStream.read(HadoopDataInputStream.java:94)
>
> >
> >          at
> >
> org.apache.flink.api.common.io.DelimitedInputFormat.fillBuffer(DelimitedInputFormat.java:695)
>
> >
> >          at
> >
> org.apache.flink.api.common.io.DelimitedInputFormat.open(DelimitedInputFormat.java:483)
>
> >
> >          at
> >
> org.apache.flink.streaming.api.functions.source.ContinuousFileReaderOperator$SplitReader.run(ContinuousFileReaderOperator.java:315)
>
> >
> >      Caused by: com.amazonaws.SdkClientException: Unable to execute HTTP
> > request: Timeout waiting for connection from pool
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleRetryableException(AmazonHttpClient.java:1114)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1064)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:743)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:717)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649)
>
> >
> >          at
> > com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513)
> >          at
> > com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4325)
> >          at
> > com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4272)
> >          at
> >
> com.amazonaws.services.s3.AmazonS3Client.getObject(AmazonS3Client.java:1409)
>
> >
> >          at
> >
> org.apache.hadoop.fs.s3a.S3AInputStream.lambda$reopen$0(S3AInputStream.java:182)
>
> >
> >          at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:109)
> >          ... 16 more
> >      Caused by: org.apache.http.conn.ConnectionPoolTimeoutException:
> > Timeout waiting for connection from pool
> >          at
> >
> org.apache.http.impl.conn.PoolingHttpClientConnectionManager.leaseConnection(PoolingHttpClientConnectionManager.java:292)
>
> >
> >          at
> >
> org.apache.http.impl.conn.PoolingHttpClientConnectionManager$1.get(PoolingHttpClientConnectionManager.java:269)
>
> >
> >          at
> > jdk.internal.reflect.GeneratedMethodAccessor79.invoke(Unknown Source)
> >          at
> >
> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>
> >
> >          at java.base/java.lang.reflect.Method.invoke(Method.java:566)
> >          at
> >
> com.amazonaws.http.conn.ClientConnectionRequestFactory$Handler.invoke(ClientConnectionRequestFactory.java:70)
>
> >
> >          at com.amazonaws.http.conn.$Proxy21.get(Unknown Source)
> >          at
> >
> org.apache.http.impl.execchain.MainClientExec.execute(MainClientExec.java:191)
>
> >
> >          at
> >
> org.apache.http.impl.execchain.ProtocolExec.execute(ProtocolExec.java:185)
> >          at
> >
> org.apache.http.impl.client.InternalHttpClient.doExecute(InternalHttpClient.java:185)
>
> >
> >          at
> >
> org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:83)
>
> >
> >          at
> >
> org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:56)
>
> >
> >          at
> >
> com.amazonaws.http.apache.client.impl.SdkHttpClient.execute(SdkHttpClient.java:72)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1236)
>
> >
> >          at
> >
> com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1056)
>
> >
> >          ... 27 more
> >
>

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