Hi, Has anyone tried to submit a Flink Job remotely to Yarn running in AWS ? The case I am stuck with is where the Flink client is on my laptop and YARN is running on AWS.
@Robert, Did you get a chance to try this out? Regards, Abhi From: "Bajaj, Abhinav" <abhinav.ba...@here.com<mailto:abhinav.ba...@here.com>> Date: Friday, April 29, 2016 at 3:50 PM To: "user@flink.apache.org<mailto:user@flink.apache.org>" <user@flink.apache.org<mailto:user@flink.apache.org>> Subject: Re: Submit Flink Jobs to YARN running on AWS Hi Robert, Thanks for your reply. I am using the Public DNS for the EC2 machines in the yarn and hdfs configuration files. It looks like "ec2-203-0-113-25.compute-1.amazonaws.com” You should be able to connect then. I have hadoop installed locally and the YARN_CONF_DIR is pointing to it. The yarn-site.xml and core-site.xml files use the resource manager address(Public DNS) running in AWS. So, whenever I submit the job using the client on my laptop, it connects to RM. The RM starts the YARN application and starts the Job manager. The job manager starts the actor system using the internal IP of the nodemanager. In my understanding, this is where the problem lies. The local client tries to connect to the Job manager actor system but the messages are dropped by the actor system as the IP address(EC2 internal IP) that actor system started with does not match the external IP address(Public IP) that was used by Flink client to send the message. Please see my first mail below for detailed logs. Please keep me posted with your progress. I plan to move the cluster to VPC for other reasons. I have limited knowledge of VPC but I guess the difference in internal and external IP address will not be resolved. Please correct if your views are different. It will be great if you are able to reproduce the issue. Thanks again. Abhi [cid:DACBF116-FD8C-48DB-B91D-D54510B306E8] Abhinav Bajaj Senior Engineer HERE Predictive Analytics Office: +12062092767 Mobile: +17083299516 HERE Seattle 701 Pike Street, #2000, Seattle, WA 98101, USA 47° 36' 41" N. 122° 19' 57" W HERE Maps From: Robert Metzger <rmetz...@apache.org<mailto:rmetz...@apache.org>> Reply-To: "user@flink.apache.org<mailto:user@flink.apache.org>" <user@flink.apache.org<mailto:user@flink.apache.org>> Date: Tuesday, April 26, 2016 at 3:16 AM To: "user@flink.apache.org<mailto:user@flink.apache.org>" <user@flink.apache.org<mailto:user@flink.apache.org>> Subject: Re: Submit Flink Jobs to YARN running on AWS I've started my own EMR cluster and tried to launch a Flink job from my local machine on it. I have to admin that configuring the EMR launched Hadoop for external access is quite a hassle. I'm not even able to submit Flink to the YARN cluster because the client can not connect to the ResourceManager. I've change the resource manager hostname to the public one in the yarn-site.xml on the cluster and restarted it, but the client still can not connect. It seems that the RM address is being overwritten by the Hadoop code? [Inline image 1] How did you manage to get this working? In the VM settings, I disabled the "Source/Dest checks", but I don't think this is related. Have you considered using Amazon's VPN service, I guess then you would have "local" access to the cluster? On YARN, Flink is not using the flink-conf.yaml setting for the jobmanager's hostname. Its using YARN's "yarn.nodemanager.hostname" from the yarn-site.xml. I haven't tried it, but it could work if you set the public hostname of each NodeManager in the yarn-site.xml. Also, maybe the product forum / customer support of Amazon can help you here. Other systems like Spark or Storm have very similar architectures and will face the same issues. I guess they have some recipes for such situations. Regards, Robert On Tue, Apr 26, 2016 at 10:47 AM, Robert Metzger <rmetz...@apache.org<mailto:rmetz...@apache.org>> wrote: Hi Abhi, I'll try to reproduce the issue and come up with a solution. On Tue, Apr 26, 2016 at 1:13 AM, Bajaj, Abhinav <abhinav.ba...@here.com<mailto:abhinav.ba...@here.com>> wrote: Hi Fabian, Thanks for your reply and the pointers to documentation. In these steps, I think the Flink client is installed on the master node, referring to steps mentioned in Flink docs here<https://ci.apache.org/projects/flink/flink-docs-release-1.0/setup/aws.html>. However, the scenario I have is to run the client on my local machine and submit jobs remotely to the YARN Cluster (running on EMR or independently). Let me describe in more detail here. I am trying to submit a single Flink Job to YARN using the client, running on my dev machine - ./bin/flink run -m yarn-cluster -yn 4 -yjm 1024 -ytm 4096 ./examples/batch/WordCount.jar In my understanding, YARN (running in AWS) allocates a container for the Jobmanager. Jobmanager discovers the IP and started the Actor system. At this step the IP it uses is the internal IP address, of the EC2 instance. The client, running on my dev machine, is not able to connect to the Jobmanager for reasons explained in my mail below. Is there a way, where I can set Jobmanager to use the hostname and not the IP address? Or any other suggestions? Thanks, Abhi [cid:DACBF116-FD8C-48DB-B91D-D54510B306E8] Abhinav Bajaj Senior Engineer HERE Predictive Analytics Office: +12062092767<tel:%2B12062092767> Mobile: +17083299516<tel:%2B17083299516> HERE Seattle 701 Pike Street, #2000, Seattle, WA 98101, USA 47° 36' 41" N. 122° 19' 57" W HERE Maps From: Fabian Hueske <fhue...@gmail.com<mailto:fhue...@gmail.com>> Reply-To: "user@flink.apache.org<mailto:user@flink.apache.org>" <user@flink.apache.org<mailto:user@flink.apache.org>> Date: Wednesday, March 9, 2016 at 12:51 AM To: "user@flink.apache.org<mailto:user@flink.apache.org>" <user@flink.apache.org<mailto:user@flink.apache.org>> Subject: Re: Submit Flink Jobs to YARN running on AWS Hi Abhi, I have used Flink on EMR via YARN a couple of times without problems. I started a Flink YARN session like this: ./bin/yarn-session.sh -n 4 -jm 1024 -tm 4096 This will start five YARN containers (1 JobManager with 1024MB, 4 Taskmanagers with 4096MB). See more config options in the documentation [1]. In one of the last lines of the std-out output you should find a line that tells you the IP and port of the JobManager. With the IP and port, you can submit a job as follows: ./bin/flink run -m jmIP:jmPort -p 4 jobJarFile.jar <arguments> This will send the job to the JobManager specified by IP and port and execute the program with a parallelism of 4. See more config options in the documentation [2]. If this does not help, could you share the exact command that you use to start the YARN session and submit the job? Best, Fabian [1] https://ci.apache.org/projects/flink/flink-docs-release-1.0/setup/yarn_setup.html [2] https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/cli.html 2016-03-08 0:25 GMT+01:00 Bajaj, Abhinav <abhinav.ba...@here.com<mailto:abhinav.ba...@here.com>>: Hi, I am a newbie to Flink and trying to use it in AWS. I have created a YARN cluster on AWS EC2 machines. Trying to submit Flink job to the remote YARN cluster using the Flink Client running on my local machine. The Jobmanager start successfully on the YARN container but the client is not able to connect to the Jobmanager. Flink Client Logs - 13:57:34,877 INFO org.apache.flink.yarn.FlinkYarnClient - Deploying cluster, current state ACCEPTED 13:57:35,951 INFO org.apache.flink.yarn.FlinkYarnClient - Deploying cluster, current state ACCEPTED 13:57:37,027 INFO org.apache.flink.yarn.FlinkYarnClient - YARN application has been deployed successfully. 13:57:37,100 INFO org.apache.flink.yarn.FlinkYarnCluster - Start actor system. 13:57:37,532 INFO org.apache.flink.yarn.FlinkYarnCluster - Start application client. YARN cluster started JobManager web interface address http://ec2-XX-XX-XX-XX.compute-1.amazonaws.com:8088/proxy/application_1456184947990_0003/ Waiting until all TaskManagers have connected 13:57:37,540 INFO org.apache.flink.yarn.ApplicationClient - Notification about new leader address akka.tcp://flink@54.35.41.12<mailto://flink@54.35.41.12>:41292/user/jobmanager with session ID null. No status updates from the YARN cluster received so far. Waiting ... 13:57:37,543 INFO org.apache.flink.yarn.ApplicationClient - Received address of new leader akka.tcp://flink@54.35.41.12<mailto://flink@54.35.41.12>:41292/user/jobmanager with session ID null. 13:57:37,543 INFO org.apache.flink.yarn.ApplicationClient - Disconnect from JobManager null. 13:57:37,545 INFO org.apache.flink.yarn.ApplicationClient - Trying to register at JobManager akka.tcp://flink@54.35.41.12<mailto://flink@54.35.41.12>:41292/user/jobmanager. No status updates from the YARN cluster received so far. Waiting ... The logs of the Jobmanager contains the following - 21:57:39,142 ERROR akka.remote.EndpointWriter - dropping message [class akka.actor.ActorSelectionMessage] for non-local recipient [Actor[akka.tcp://flink@54.35.41.12:41292/]] arriving at [akka.tcp://flink@54.35.41.12:41292] inbound addresses are [akka.tcp://flink@172.31.23.18<mailto://flink@172.31.23.18>:41292] 21:57:40,782 INFO org.apache.flink.runtime.instance.InstanceManager - Registered TaskManager at ec2-54-35-41-12 (akka.tcp://flink@172.31.23.18<mailto://flink@172.31.23.18>:60565/user/taskmanager) as 72101dd2ee94caa7a5ec5a75488359aa. Current number of registered hosts is 1. Current number of alive task slots is 1. 21:57:41,162 ERROR akka.remote.EndpointWriter - dropping message [class akka.actor.ActorSelectionMessage] for non-local recipient [Actor[akka.tcp://flink@54.35.41.12:41292/]] arriving at [akka.tcp://flink@54.35.41.12:41292] inbound addresses are [akka.tcp://flink@172.31.23.18<mailto://flink@172.31.23.18>:41292] It seems the problem is in the mismatch of the Jobmanager Akka actors system running address and the one user by the Client. 172.31.23.18 – is the internal private IP of the EC2 machine where the Jobmanager container is running. 54.35.41.12 – is the external IP of the EC2 machine, used by Flink client to submit the Job. Because of this mismatch the messages are ignored by the Akka actor System. Can someone please help me with this issue. I can share the detailed logs, if required. Thanks, Abhi
