Could not build the program from JAR file.
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Could not build the program from JAR file.
 
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Re: Could not build the program from JAR file.
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RE: Could not build the program from JAR file.
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Re: Could not build the program from JAR file.
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RE: Could not build the program from JAR file.
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Yes, the jar exists. Both the WordCount example and my custom jar.
I also just redownloaded and reinstalled flink 1.5.2 as I was thinking maybe a dependencies or something was missing... But still the same error... De : vino yang <[hidden email]>
Envoyé : mardi 7 août 2018 09:01 À : Gary Yao Cc : Florian Simond; [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
The error message is because of a FileNotFoundException, see here[1]. Is there any more information about the exception. Do you make sure the jar exist?
Thanks, vino.
2018-08-07 14:28 GMT+08:00 Gary Yao <[hidden email]>:
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RE: Could not build the program from JAR file.
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In reply to this post by vino yang
In the log, I can see that:
First exception is a warning, not sure if it is important.
Second one seems to be the one. It tries to find the file "-yn" ???
2018-08-07 09:16:04,776 WARN org.apache.flink.client.cli.CliFrontend - Could not load CLI class org.apache.flink.yarn.cli.FlinkYarnSessionCli.
java.lang.NoClassDefFoundError: org/apache/hadoop/conf/Configuration
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
at org.apache.flink.client.cli.CliFrontend.loadCustomCommandLine(CliFrontend.java:1208)
at org.apache.flink.client.cli.CliFrontend.loadCustomCommandLines(CliFrontend.java:1164)
at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1090)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.conf.Configuration
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 5 more
2018-08-07 09:16:04,789 INFO org.apache.flink.core.fs.FileSystem - Hadoop is not in the classpath/dependencies. The extended set of supported File Systems via Hadoop is not available.
2018-08-07 09:16:04,967 INFO org.apache.flink.runtime.security.modules.HadoopModuleFactory - Cannot create Hadoop Security Module because Hadoop cannot be found in the Classpath.
2018-08-07 09:16:04,991 INFO org.apache.flink.runtime.security.SecurityUtils - Cannot install HadoopSecurityContext because Hadoop cannot be found in the Classpath.
2018-08-07 09:16:05,041 INFO org.apache.flink.client.cli.CliFrontend - Running 'run' command.
2018-08-07 09:16:05,046 INFO org.apache.flink.client.cli.CliFrontend - Building program from JAR file
2018-08-07 09:16:05,046 ERROR org.apache.flink.client.cli.CliFrontend - Invalid command line arguments.
org.apache.flink.client.cli.CliArgsException: Could not build the program from JAR file.
at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:208)
at org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:1025)
at org.apache.flink.client.cli.CliFrontend.lambda$main$9(CliFrontend.java:1101)
at org.apache.flink.runtime.security.NoOpSecurityContext.runSecured(NoOpSecurityContext.java:30)
at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:1101)
Caused by: java.io.FileNotFoundException: JAR file does not exist: -yn
at org.apache.flink.client.cli.CliFrontend.buildProgram(CliFrontend.java:828)
at org.apache.flink.client.cli.CliFrontend.run(CliFrontend.java:205)
... 4 more
De : vino yang <[hidden email]>
Envoyé : mardi 7 août 2018 09:01 À : Gary Yao Cc : Florian Simond; [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
The error message is because of a FileNotFoundException, see here[1]. Is there any more information about the exception. Do you make sure the jar exist?
Thanks, vino.
2018-08-07 14:28 GMT+08:00 Gary Yao <[hidden email]>:
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Re: Could not build the program from JAR file.
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Hi Florian, The log you gave before prints the phrase "Use the help option (-h or --help) to get help on the command." and the log just shows "-yn" as a jar file that looks like yours. There is a problem with the parameter specification. Can you share the full client log and your commit command? Thanks, vino. 2018-08-07 15:22 GMT+08:00 Florian Simond <[hidden email]>:
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RE: Could not build the program from JAR file.
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Hi Vino,
Here is the full log: https://pastebin.com/A9KQimSL
The command used is the following: > ./bin/flink run -m yarn-cluster -yn 4 -yjm 1024 -ytm 4096 ./examples/batch/WordCount.jar
It is the demo command described here: https://ci.apache.org/projects/flink/flink-docs-release-1.5/ops/deployment/yarn_setup.html#run-a-flink-job-on-yarn
So, I found the solution before I finish writing the answer. So here it is: With 1.4.2, when I start a job, I see the line: > Using the result of 'hadoop classpath' to augment the Hadoop classpath: (And then a lot of paths...) I don't see this "augmentation" with 1.5.2, so I did it myself by running: > export HADOOP_CONF_DIR=`hadoop classpath` > export YARN_CONF_DIR=`hadoop classpath`
Not sure if that is the right way to do it, but now it works !
De : vino yang <[hidden email]>
Envoyé : mardi 7 août 2018 10:59 À : Florian Simond Cc : Gary Yao; [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
The log you gave before prints the phrase "Use the help option (-h or --help) to get help on the command." and the log just shows "-yn" as a jar file that looks like yours. There is a problem with the parameter specification.
Can you share the full client log and your commit command?
Thanks, vino.
2018-08-07 15:22 GMT+08:00 Florian Simond
<[hidden email]>:
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Re: Could not build the program from JAR file.
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In reply to this post by Florian Simond
Hi Florian,
Can you run export HADOOP_CLASSPATH=`hadoop classpath` before submitting the job [1]? Moreover, you should not use the -yn parameter. Beginning with Flink 1.5, the number of TaskManagers is not fixed anymore. Best, Gary [1] https://ci.apache.org/projects/flink/flink-docs-release-1.5/ops/deployment/hadoop.html#configuring-flink-with-hadoop-classpaths On Tue, Aug 7, 2018 at 9:22 AM, Florian Simond <[hidden email]> wrote:
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RE: Could not build the program from JAR file.
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Indeed, that's the solution.
It was done automatically before with 1.4.2, that's why I missed that part...
Do you have any pointer about the dynamic number of TaskManagers ? I'm curious to know how it works. Is it possible to still fix it ?
Thank you, Florian De : Gary Yao <[hidden email]>
Envoyé : mardi 7 août 2018 11:55 À : Florian Simond Cc : vino yang; [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
Can you run export HADOOP_CLASSPATH=`hadoop classpath` before submitting the job [1]? Moreover, you should not use the -yn parameter. Beginning with Flink 1.5, the number of TaskManagers is not fixed anymore. Best, Gary [1] https://ci.apache.org/projects/flink/flink-docs-release-1.5/ops/deployment/hadoop.html#configuring-flink-with-hadoop-classpaths
On Tue, Aug 7, 2018 at 9:22 AM, Florian Simond
<[hidden email]> wrote:
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Re: Could not build the program from JAR file.
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You can find more information about the re-worked deployment model here:
https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=65147077 TaskManagers are started and shut down according to the slot requirements of the jobs. It is possible to return to the old behavior by setting mode: old in flink-conf.yaml. However, this mode is deprecated and will be removed soon. Can you explain why you need to have a static set of TMs? On Tue, Aug 7, 2018 at 12:07 PM, Florian Simond <[hidden email]> wrote:
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RE: Could not build the program from JAR file.
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Thank you!
So it is now normal that it takes around 5 minutes to start processing ? The job is reading from kafka and writing back into another kafka topic. When I start the job, it takes roughly 5 minutes before I get something in the output topic.
I see a lot of 2018-08-07 12:20:34,672 INFO org.apache.flink.yarn.YarnResourceManager - Received new container: XXX - Remaining pending container requests: 0 2018-08-07 12:20:34,672 INFO org.apache.flink.yarn.YarnResourceManager - Returning excess container XXX. I see a lot of those lines during the first five minutes.
I'm not sure I need to have a static set of TMs, but as we have a limited set of nodes, and several jobs, it could be harder to make sure they do not interfere with each other... De : Gary Yao <[hidden email]>
Envoyé : mardi 7 août 2018 12:27 À : Florian Simond Cc : vino yang; [hidden email] Objet : Re: Could not build the program from JAR file. You can find more information about the re-worked deployment model here:
https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=65147077 TaskManagers are started and shut down according to the slot requirements of the jobs. It is possible to return to the old behavior by setting mode: old in flink-conf.yaml. However, this mode is deprecated and will be removed soon. Can you explain why you need to have a static set of TMs? On Tue, Aug 7, 2018 at 12:07 PM, Florian Simond
<[hidden email]> wrote:
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Re: Could not build the program from JAR file.
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Hi Florian,
5 minutes sounds too slow. Are you starting multiple "per-job clusters" at the same time? How many slots do you configure per TM? After you submit the job, how many resources do you have left in your YARN cluster? It might be that you are affected by FLINK-9455 [1]: Flink requests unnecessary resources from YARN and blocks the execution of other jobs temporarily. The workaround is to configure only one slot per TM. If the above does not help, can you attach the full ClusterEntrypoint (JobManager) logs? Best, Gary [1] https://issues.apache.org/jira/browse/FLINK-9455 On Tue, Aug 7, 2018 at 12:34 PM, Florian Simond <[hidden email]> wrote:
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RE: Could not build the program from JAR file.
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Hi Gary,
No, I am not starting multiple "per-job clusters".
I didn't configure anything regarding the number of slots per TM, so I guess the default value (1 then).
But on the YARN UI I see that the number of "running containers" varies a lot (13 then 1 then 8 then 2 then 27 then 6 etc...)
Here is the full jobmanager log:
This time it took longer to start (10 minutes) And completed on this line: 2018-08-07 14:31:11,852 INFO org.apache.flink.runtime.executiongraph.ExecutionGraph - Source: Custom Source -> Sink: Unnamed (1/1) (655509c673d8ae19aac195276ad2c3e6) switched from DEPLOYING to RUNNING. Thanks a lot for your help and your time, Florian
De : Gary Yao <[hidden email]>
Envoyé : mardi 7 août 2018 14:15 À : Florian Simond Cc : vino yang; [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
5 minutes sounds too slow. Are you starting multiple "per-job clusters" at the same time? How many slots do you configure per TM? After you submit the job, how many resources do you have left in your YARN cluster? It might be that you are affected by FLINK-9455 [1]: Flink requests unnecessary resources from YARN and blocks the execution of other jobs temporarily. The workaround is to configure only one slot per TM. If the above does not help, can you attach the full ClusterEntrypoint (JobManager) logs? Best, Gary [1] https://issues.apache.org/jira/browse/FLINK-9455 On Tue, Aug 7, 2018 at 12:34 PM, Florian Simond
<[hidden email]> wrote:
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Re: Could not build the program from JAR file.
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Hi Florian,
Thank you for the logs. They look indeed strange but I cannot reproduce this behavior. From the logs I can see that the ResourceManager is requesting containers with different resource profiles (2048mb or 1024mb memory): Requesting new TaskExecutor container with resources <memory:2048, vCores:1>. Number pending requests 1. Requesting new TaskExecutor container with resources <memory:1024, vCores:1>. Number pending requests 1. At the moment I am not exactly sure how this happens, and if this is problematic at all. It would be helpful to know if you are configuring YARN with a yarn.scheduler.minimum-allocation-mb of 2048. Here are some other things to try out for troubleshooting: Can you try raising the the TM and JM memory to 2048mb (-ytm 2048 -yjm 2048)? You are setting -ytm to 1024, which results in a heap size of only 424mb. Is the deployment also slow if you are running example/streaming/WordCount.jar? The version in the log shows up as: "Version: 0.1, Rev:1a9b648, Date:25.07.2018 @ 17:10:13 GMT". This does not seem to be an official Flink 1.5.2 distribution. Is there are reason for that, and can you rule out that there are no changes? Maybe try out the official build? Best, Gary On Tue, Aug 7, 2018 at 2:44 PM, Florian Simond <[hidden email]> wrote:
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RE: Could not build the program from JAR file.
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Hi Gary,
Good intuition... yarn.scheduler.minimum-allocation-mb is set to 2048 :)
I specified -ytm 2048 and -yjm 2048 and the job started right away, I will also try again later to see if it's not luck. Thanks a lot !
Regarding the version, it is still 0.1, and that I have no clue.... I downloaded 1.5.2 from this link : https://www.apache.org/dyn/closer.lua/flink/flink-1.5.2/flink-1.5.2-bin-scala_2.11.tgz
It should be the official build... It seems to be correct afterall, I see "1a9b648" there too: https://github.com/apache/flink/releases
But I don't know why it's written version 0.1... De : Gary Yao <[hidden email]>
Envoyé : mardi 7 août 2018 19:30 À : Florian Simond Cc : [hidden email] Objet : Re: Could not build the program from JAR file. Hi Florian,
Thank you for the logs. They look indeed strange but I cannot reproduce this behavior. From the logs I can see that the ResourceManager is requesting containers with different resource profiles (2048mb or 1024mb memory): Requesting new TaskExecutor container with resources <memory:2048, vCores:1>. Number pending requests 1. Requesting new TaskExecutor container with resources <memory:1024, vCores:1>. Number pending requests 1. At the moment I am not exactly sure how this happens, and if this is problematic at all. It would be helpful to know if you are configuring YARN with a yarn.scheduler.minimum-allocation-mb of 2048. Here are some other things to try out for troubleshooting: Can you try raising the the TM and JM memory to 2048mb (-ytm 2048 -yjm 2048)? You are setting -ytm to 1024, which results in a heap size of only 424mb. Is the deployment also slow if you are running example/streaming/WordCount.jar? The version in the log shows up as: "Version: 0.1, Rev:1a9b648, Date:25.07.2018 @ 17:10:13 GMT". This does not seem to be an official Flink 1.5.2 distribution. Is there are reason for that, and can you rule out that there are no changes? Maybe try out the official build? Best, Gary On Tue, Aug 7, 2018 at 2:44 PM, Florian Simond
<[hidden email]> wrote:
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Re: Could not build the program from JAR file.
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Hi Florian, Thanks for following up. Does it consistently work for you if -ytm and -yjm are set to 2 GB? Can you enable DEBUG level logging, submit with 1GB of memory again, and send all TaskManager logs in addition? The output of yarn logs -applicationId <appid> should suffice. The Flink version that is logged should be read from META-INF/MANIFEST.MF, in the flink-dist jar. However, the value looks correct in the Hadoop-free Flink 1.5.2 binary distribution. Can you tell us what Hadoop distribution (+ version) you are using? It would help to reproduce the issues that you have found. Best, Gary On Tue, Aug 7, 2018 at 8:19 PM, Florian Simond <[hidden email]> wrote:
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