[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-25869:
--
Assignee: (was: Marcelo Vanzin)
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual memory used. Killing contain
[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-25869:
--
Assignee: Marcelo Vanzin
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Assignee: Marcelo Vanzin
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual m
[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-25869:
--
Assignee: (was: Marcelo Vanzin)
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual memory used. Killing contain
[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Marcelo Vanzin reassigned SPARK-25869:
--
Assignee: Marcelo Vanzin
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Assignee: Marcelo Vanzin
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual m
[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25869:
Assignee: (was: Apache Spark)
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual memory used. Killing container.
>
[jira] [Assigned] (SPARK-25869) Spark on YARN: the original diagnostics is missing when job failed maxAppAttempts times
[
https://issues.apache.org/jira/browse/SPARK-25869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-25869:
Assignee: Apache Spark
> Spark on YARN: the original diagnostics is missing when job failed
> maxAppAttempts times
> ---
>
> Key: SPARK-25869
> URL: https://issues.apache.org/jira/browse/SPARK-25869
> Project: Spark
> Issue Type: Bug
> Components: YARN
>Affects Versions: 2.1.1
>Reporter: Yeliang Cang
>Assignee: Apache Spark
>Priority: Major
>
> When configure spark on yarn, I submit job using below command:
> {code}
> spark-submit --class org.apache.spark.examples.SparkPi --master yarn
> --deploy-mode cluster --driver-memory 127m --driver-cores 1
> --executor-memory 2048m --executor-cores 1 --num-executors 10 --queue
> root.mr --conf spark.testing.reservedMemory=1048576 --conf
> spark.yarn.executor.memoryOverhead=50 --conf
> spark.yarn.driver.memoryOverhead=50
> /opt/ZDH/parcels/lib/spark/examples/jars/spark-examples* 1
> {code}
> Apparently, the driver memory is not enough, but this can not be seen in
> spark client log:
> {code}
> 2018-10-29 19:28:34,658 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: ACCEPTED)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: RUNNING)
> 2018-10-29 19:28:35,660 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0013 (state: FINISHED)
> 2018-10-29 19:28:36,663 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Shutdown hook called before final status was reported.
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812501560
> final status: FAILED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0013/
> user: mr
> Exception in thread "main" org.apache.spark.SparkException: Application
> application_1540536615315_0013 finished with failed status
> at org.apache.spark.deploy.yarn.Client.run(Client.scala:1137)
> at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1183)
> at org.apache.spark.deploy.yarn.Client.main(Client.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2018-10-29 19:28:36,694 INFO org.apache.spark.util.ShutdownHookManager:
> Shutdown hook called
> 2018-10-29 19:28:36,695 INFO org.apache.spark.util.ShutdownHookManager:
> Deleting directory /tmp/spark-96077be5-0dfa-496d-a6a0-96e83393a8d9
> {code}
>
>
> Solution: after apply the patch, spark client log can be shown as:
> {code}
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: RUNNING)
> 2018-10-29 19:27:32,962 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: N/A
> ApplicationMaster host: 10.43.183.143
> ApplicationMaster RPC port: 0
> queue: root.mr
> start time: 1540812436656
> final status: UNDEFINED
> tracking URL: http://zdh141:8088/proxy/application_1540536615315_0012/
> user: mr
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client: Application
> report for application_1540536615315_0012 (state: FAILED)
> 2018-10-29 19:27:33,964 INFO org.apache.spark.deploy.yarn.Client:
> client token: N/A
> diagnostics: Application application_1540536615315_0012 failed 2 times due
> to AM Container for appattempt_1540536615315_0012_02 exited with
> exitCode: -104
> For more detailed output, check application tracking
> page:http://zdh141:8088/cluster/app/application_1540536615315_0012Then, click
> on links to logs of each attempt.
> Diagnostics: virtual memory us
