When creating your cluster, you can provide configurations that EMR will
find the right home for. Example for the aws cli:
aws emr create-cluster ... --configurations '[{
> "Classification": "flink-log4j",
> "Properties": {
> "log4j.rootLogger": "DEBUG,file"
> }
> },{
> "Classification": "flink-log4j-yarn-session",
> "Properties": {
> "log4j.rootLogger": "DEBUG,stdout"
> }]'
If you can't take down your existing EMR cluster for some reason, you can
ask AWS to modify these configurations for you on the cluster. They should
take effect when you start a new Flink job (new job manager as well as a
new job in that job manager). It is my understanding that configuration
changes require a restart of a flink jobmanager + topology in order to take
effect. Here's an example of how to modify an existing cluster (I just
threw this together, so beware malformed JSON):
aws emr modify-instance-groups --cli-input-json '{
> "ClusterId": "<your cluster id>",
> "InstanceGroups": [{
> "InstanceGroupId": "<master instance group id>",
> "Configurations": [{
> "Classification": "flink-log4j",
> "Properties": {
> "log4j.rootLogger": "DEBUG,file"
> }
> },{
> "Classification": "flink-log4j-yarn-session",
> "Properties": {
> "log4j.rootLogger": "DEBUG,stdout"
> }
> }]
> },{
> "InstanceGroupId": "<core instance group id>",
> "Configurations": [{
> "Classification": "flink-log4j",
> "Properties": {
> "log4j.rootLogger": "DEBUG,file"
> }
> },{
> "Classification": "flink-log4j-yarn-session",
> "Properties": {
> "log4j.rootLogger": "DEBUG,stdout"
> }
> }]
> }]
> }'
On Thu, Jan 23, 2020 at 11:03 AM Senthil Kumar <senthi...@vmware.com> wrote:
> Could you tell us how to turn on debug level logs?
>
>
>
> We attempted this (on driver)
>
>
>
> sudo stop hadoop-yarn-resourcemanager
>
>
>
> followed the instructions here
>
>
> https://stackoverflow.com/questions/27853974/how-to-set-debug-log-level-for-resourcemanager
>
>
>
> and
>
>
>
> sudo start hadoop-yarn-resourcemanager
>
>
>
> but we still don’t see any debug level logs
>
>
>
> Any further info is much appreciated!
>
>
>
>
>
> *From: *Aaron Langford <aaron.langfor...@gmail.com>
> *Date: *Tuesday, January 21, 2020 at 10:54 AM
> *To: *Senthil Kumar <senthi...@vmware.com>
> *Cc: *Yang Wang <danrtsey...@gmail.com>, "user@flink.apache.org" <
> user@flink.apache.org>
> *Subject: *Re: Location of flink-s3-fs-hadoop plugin (Flink 1.9.0 on EMR)
>
>
>
> Senthil,
>
>
>
> One of the key steps in debugging this for me was enabling debug level
> logs on my cluster, and then looking at the logs in the resource manager.
> The failure you are after happens before the exceptions you have reported
> here. When your Flink application is starting, it will attempt to load
> various file system implementations. You can see which ones it successfully
> loaded when you have the debug level of logs configured. You will have to
> do some digging, but this is a good place to start. Try to discover if your
> application is indeed loading the s3 file system, or if that is not
> happening. You should be able to find the file system implementations that
> were loaded by searching for the string "Added file system".
>
>
>
> Also, do you mind sharing the bootstrap action script that you are using
> to get the s3 file system in place?
>
>
>
> Aaron
>
>
>
> On Tue, Jan 21, 2020 at 8:39 AM Senthil Kumar <senthi...@vmware.com>
> wrote:
>
> Yang, I appreciate your help! Please let me know if I can provide with any
> other info.
>
>
>
> I resubmitted my executable jar file as a step to the flink EMR and here’s
> are all the exceptions. I see two of them.
>
>
>
> I fished them out of /var/log/Hadoop/<STEP-ID>/syslog
>
>
>
> 2020-01-21 16:31:37,587 ERROR
> org.apache.flink.streaming.runtime.tasks.StreamTask (Split Reader: Custom
> File Source -> Sink: Unnamed (11/16)): Error during di
>
> sposal of stream operator.
>
> java.lang.NullPointerException
>
> at
> org.apache.flink.streaming.api.functions.source.ContinuousFileReaderOperator.dispose(ContinuousFileReaderOperator.java:165)
>
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.disposeAllOperators(StreamTask.java:582)
>
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:481)
>
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>
> at java.lang.Thread.run(Thread.java:748)
>
>
>
>
>
> 2020-01-21 16:31:37,591 INFO org.apache.flink.runtime.taskmanager.Task
> (Split Reader: Custom File Source -> Sink: Unnamed (8/16)): Split Reader:
> Custom File Source -> Sink: Unnamed (8/16)
> (865a5a078c3e40cbe2583afeaa0c601e) switched from RUNNING to FAILED.
>
> java.lang.UnsupportedOperationException: Recoverable writers on Hadoop
> are only supported for HDFS and for Hadoop version 2.7 or newer
>
> at
> org.apache.flink.runtime.fs.hdfs.HadoopRecoverableWriter.<init>(HadoopRecoverableWriter.java:57)
>
> at
> org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.createRecoverableWriter(HadoopFileSystem.java:202)
>
> at
> org.apache.flink.core.fs.SafetyNetWrapperFileSystem.createRecoverableWriter(SafetyNetWrapperFileSystem.java:69)
>
> at
> org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.<init>(Buckets.java:112)
>
> at
> org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSink$RowFormatBuilder.createBuckets(StreamingFileSink.java:242)
>
> at
> org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSink.initializeState(StreamingFileSink.java:327)
>
> at
> org.apache.flink.streaming.util.functions.StreamingFunctionUtils.tryRestoreFunction(StreamingFunctionUtils.java:178)
>
> at
> org.apache.flink.streaming.util.functions.StreamingFunctionUtils.restoreFunctionState(StreamingFunctionUtils.java:160)
>
> at
> org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.initializeState(AbstractUdfStreamOperator.java:96)
>
> at
> org.apache.flink.streaming.api.operators.AbstractStreamOperator.initializeState(AbstractStreamOperator.java:281)
>
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.initializeState(StreamTask.java:878)
>
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:392)
>
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:705)
>
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:530)
>
> at java.lang.Thread.run(Thread.java:748)
>
>
>
>
>
> *From: *Yang Wang <danrtsey...@gmail.com>
> *Date: *Saturday, January 18, 2020 at 7:58 PM
> *To: *Senthil Kumar <senthi...@vmware.com>
> *Cc: *"user@flink.apache.org" <user@flink.apache.org>
> *Subject: *Re: Location of flink-s3-fs-hadoop plugin (Flink 1.9.0 on EMR)
>
>
>
> I think this exception is not because the hadoop version isn't high
> enough.
>
> It seems that the "s3" URI scheme could not be recognized by
> `S3FileSystemFactory`. So it fallbacks to
>
> the `HadoopFsFactory`.
>
>
>
> Could you share the debug level jobmanager/taskmanger logs so that we
> could confirm whether the
>
> classpath and FileSystem are loaded correctly.
>
>
>
>
>
>
>
> Best,
>
> Yang
>
>
>
> Senthil Kumar <senthi...@vmware.com> 于2020年1月17日周五 下午10:57写道：
>
> Hello all,
>
>
>
> Newbie here!
>
>
>
> We are running in Amazon EMR with the following installed in the EMR
> Software Configuration
>
> Hadoop 2.8.5
>
> JupyterHub 1.0.0
>
> Ganglia 3.7.2
>
> Hive 2.3.6
>
> Flink 1.9.0
>
>
>
> I am trying to get a Streaming job from one S3 bucket into an another S3
> bucket using the StreamingFileSink
>
>
>
> I got the infamous exception:
>
> Caused by: java.lang.UnsupportedOperationException: Recoverable writers on
> Hadoop are only supported for HDFS and for Hadoop version 2.7 or newer
>
>
>
> According to this, I needed to install flink-s3-fs-hadoop-1.9.0.jar in
> /usr/lib/flink/lib
>
>
> https://stackoverflow.com/questions/55517566/amazon-emr-while-submitting-job-for-apache-flink-getting-error-with-hadoop-recov
> <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstackoverflow.com%2Fquestions%2F55517566%2Famazon-emr-while-submitting-job-for-apache-flink-getting-error-with-hadoop-recov&data=02%7C01%7Csenthilku%40vmware.com%7Cabaac5f372264cf958d508d79e9af63a%7Cb39138ca3cee4b4aa4d6cd83d9dd62f0%7C0%7C0%7C637152260726359794&sdata=JVyu9uX4wJDY9COlE%2Bqk3ZIJ0qy6HPxCr68YfMMKglU%3D&reserved=0>
>
>
>
> That did not work.
>
>
>
> Further googling, revealed for Flink 1.9.0 and above: (according to this)
>
> https://ci.apache.org/projects/flink/flink-docs-stable/ops/filesystems/
> <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-stable%2Fops%2Ffilesystems%2F&data=02%7C01%7Csenthilku%40vmware.com%7Cabaac5f372264cf958d508d79e9af63a%7Cb39138ca3cee4b4aa4d6cd83d9dd62f0%7C0%7C0%7C637152260726359794&sdata=2KkpnnV8LpLXSflyaoP7AbL%2BE8gCNvjIxtI1BoI7d%2Fk%3D&reserved=0>
>
>
>
> it seems that I need to install the jar file in the plugins directory
> (/usr/lib/flink/plugins/s3-fs-hadoop)
>
>
>
> That did not work either.
>
>
>
> At this point, I am not sure what to do and would appreciate some help!
>
>
>
> Cheers
>
> Kumar
>
>
>
>
