Submit Spark job on Yarn cluster

匿名 (未验证) 提交于 2019-12-03 08:48:34

问题:

I am struggling for more than 2 days now with the following problem.

I wrote a basic "HelloWorld" script in SCALA

object Hello extends App{   println("WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1")   val data = 1 to 15    for( a <- data ){     println( "Value of a: " + a )     Thread sleep 1000   } 

that I then compiled with SBT in order to get a JAR compiled version.

I transferred then everything on a cluster (which is Horthonworks sandbox running on a virtual Linux machine) with HDP 2.2.4.2.

I am actually able to run the job with the following command on the cluster using a yarn-client:

spark-submit --verbose --master yarn-client --class Hello SCALA/hello.jar

However, while trying to submit the same helloWorld job on a yarn-cluster with the following command

spark-submit --verbose --master yarn-cluster--class Hello SCALA/hello.jar

The job first run properly (the outputs are the one expected, and it exits 0) but then the job stop with the following:

15/06/05 15:52:09 INFO Client: Application report for application_1433491352951_0010 (state: FAILED)  15/06/05 15:52:09 INFO Client:          client token: N/A          diagnostics: Application application_1433491352951_0010 failed 2 times due to AM Container for appattempt_1433491352951_0010_000002 exited with  exitCode: 0 For more detailed output, check application tracking page:http://sandbox.hortonworks.com:8088/proxy/application_1433491352951_0010/Then, click on links to logs of each attempt. Diagnostics: Failing this attempt. Failing the application.          ApplicationMaster host: N/A          ApplicationMaster RPC port: -1          queue: default          start time: 1433519471297          final status: FAILED          tracking URL: http://sandbox.hortonworks.com:8088/cluster/app/application_1433491352951_0010          user: root Error: application failed with exception org.apache.spark.SparkException: Application finished with failed status         at org.apache.spark.deploy.yarn.ClientBase$class.run(ClientBase.scala:522)         at org.apache.spark.deploy.yarn.Client.run(Client.scala:35)         at org.apache.spark.deploy.yarn.Client$.main(Client.scala:139)         at org.apache.spark.deploy.yarn.Client.main(Client.scala)         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)         at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)         at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)         at java.lang.reflect.Method.invoke(Method.java:606)         at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:367)         at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:77)         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 

I decided then to check the log with the following commandline:

yarn logs -applicationId application_1433491352951_00010 

and I get:

15/06/05 15:56:33 INFO impl.TimelineClientImpl: Timeline service address: http://sandbox.hortonworks.com:8188/ws/v1/timeline/ 15/06/05 15:56:33 INFO client.RMProxy: Connecting to ResourceManager at sandbox.hortonworks.com/192.168.182.129:8050 15/06/05 15:56:35 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library 15/06/05 15:56:35 INFO compress.CodecPool: Got brand-new decompressor [.deflate]   Container: container_e08_1433491352951_0010_01_000001 on sandbox.hortonworks.com_45454 ======================================================================================== LogType:stderr Log Upload Time:Fri Jun 05 15:52:10 +0000 2015 LogLength:2050 Log Contents: SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/28/spark-assembly-1.2.1.2.2.4.2-2-hadoop2.6.0.2.2.4.2-2.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/hdp/2.2.4.2-2/hadoop/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/29/hello.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] 15/06/05 15:51:18 INFO yarn.ApplicationMaster: Registered signal handlers for [TERM, HUP, INT] 15/06/05 15:51:20 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1433491352951_0010_000001 15/06/05 15:51:21 INFO spark.SecurityManager: Changing view acls to: yarn,root 15/06/05 15:51:21 INFO spark.SecurityManager: Changing modify acls to: yarn,root 15/06/05 15:51:21 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, root); users with modify permissions: Set(yarn, root) 15/06/05 15:51:21 INFO yarn.ApplicationMaster: Starting the user JAR in a separate Thread 15/06/05 15:51:21 INFO yarn.ApplicationMaster: Waiting for spark context initialization 15/06/05 15:51:21 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 0 15/06/05 15:51:31 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 1 15/06/05 15:51:36 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0 15/06/05 15:51:41 ERROR yarn.ApplicationMaster: SparkContext did not initialize after waiting for 100000 ms. Please check earlier log output for errors. Failing the application. 15/06/05 15:51:41 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED 15/06/05 15:51:41 INFO yarn.ApplicationMaster: Deleting staging directory .sparkStaging/application_1433491352951_0010  LogType:stdout Log Upload Time:Fri Jun 05 15:52:10 +0000 2015 LogLength:300 Log Contents: WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1 Value of a: 1 Value of a: 2 Value of a: 3 Value of a: 4 Value of a: 5 Value of a: 6 Value of a: 7 Value of a: 8 Value of a: 9 Value of a: 10 Value of a: 11 Value of a: 12 Value of a: 13 Value of a: 14 Value of a: 15    Container: container_e08_1433491352951_0010_02_000001 on sandbox.hortonworks.com_45454 ======================================================================================== LogType:stderr Log Upload Time:Fri Jun 05 15:52:10 +0000 2015 LogLength:2050 Log Contents: SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/28/spark-assembly-1.2.1.2.2.4.2-2-hadoop2.6.0.2.2.4.2-2.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/hdp/2.2.4.2-2/hadoop/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/hadoop/yarn/local/usercache/root/filecache/29/hello.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] 15/06/05 15:51:45 INFO yarn.ApplicationMaster: Registered signal handlers for [TERM, HUP, INT] 15/06/05 15:51:47 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1433491352951_0010_000002 15/06/05 15:51:48 INFO spark.SecurityManager: Changing view acls to: yarn,root 15/06/05 15:51:48 INFO spark.SecurityManager: Changing modify acls to: yarn,root 15/06/05 15:51:48 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(yarn, root); users with modify permissions: Set(yarn, root) 15/06/05 15:51:48 INFO yarn.ApplicationMaster: Starting the user JAR in a separate Thread 15/06/05 15:51:48 INFO yarn.ApplicationMaster: Waiting for spark context initialization 15/06/05 15:51:48 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 0 15/06/05 15:51:58 INFO yarn.ApplicationMaster: Waiting for spark context initialization ... 1 15/06/05 15:52:03 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0 15/06/05 15:52:08 ERROR yarn.ApplicationMaster: SparkContext did not initialize after waiting for 100000 ms. Please check earlier log output for errors. Failing the application. 15/06/05 15:52:08 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED 15/06/05 15:52:08 INFO yarn.ApplicationMaster: Deleting staging directory .sparkStaging/application_1433491352951_0010  LogType:stdout Log Upload Time:Fri Jun 05 15:52:10 +0000 2015 LogLength:300 Log Contents: WELCOME TO A FIRST TEST WITH SCALA COMPILED WITH SBT counting fr. 1:15 with sleep 1 Value of a: 1 Value of a: 2 Value of a: 3 Value of a: 4 Value of a: 5 Value of a: 6 Value of a: 7 Value of a: 8 Value of a: 9 Value of a: 10 Value of a: 11 Value of a: 12 Value of a: 13 Value of a: 14 Value of a: 15 

After spending hours looking on the web, it looks like it may be a matter of environment definition, but I didn't get any help from that :(.

I would really like to thank you if you could help on this problem...

Thanks in advance for spending time reading my post,

Sb

Thanks for your reply Zouzias. I took the HelloWorld project you suggested, recompiled and try again. Now I got another problem: when I submit the task with the following command:

spark-submit --verbose --master yarn-cluster SCALA/hello.jar 

I get the following comments running to infinity:

15/06/08 16:42:35 INFO Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 9 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 

I don't really understand since it looks like the server is not responding while the program is supposed to run on the Hadoop cluster from the sandbox.

回答1:

In my case I used:

val config = new SparkConf() config.setMaster("local[*]")  

and submitted the job using:

spark-submit --master yarn-cluster .. 

Once I removed config.setMaster from my code the issue was resolved.



回答2:

You will have to set the master of the application to "yarn-cluster" like so:

import org.apache.spark.SparkContext import org.apache.spark.SparkContext._ import org.apache.spark.SparkConf  class Hello extends App {     val config = new SparkConf().setAppName("HelloWorld")     config.setMaster("yarn-cluster");     val context = new SparkContext(config);      println("Application executed!") } 


回答3:

i can't see any spark context initialization in your code. So, by submitting your jar as spark-submit , you are just setting up classpath. you code is not making any use of spark. However, if you wanna create a context and run it in cluster mode, then don't set any master in your code. it will work. for ex: val config = new SparkConf().setAppName("HelloWorld") val context = new SparkContext(config); Then submit it using spark-submit --verbose --master yarn-cluster--class Hello SCALA/hello.jar



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