Hi Jeff,
Sorry for the late response.
I ran yarn-cluster mode with this setup
%spark2.conf
master yarn
spark.submit.deployMode cluster
zeppelin.pyspark.python /home/mansop/anaconda2/bin/python
spark.driver.memory 10g
I added ` log4j.logger.org.apache.zeppelin.interpreter=DEBUG` to the `
log4j_yarn_cluster.properties` file but nothing has changed, in fact the `
zeppelin-interpreter-spark2-mansop-root-zama-mlx.mlx.log` file is not updated
after running my notes
This code works
%pyspark
print("Hello world!")
However this one does not work:
%pyspark
a = "bigword"
aList = []
for i in range(1000):
aList.append(i**i*a)
#print aList
for word in aList:
print word
which means I am still getting org.apache.thrift.transport.TTransportException
at
org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
and spark logs says:
ERROR [2019-10-09 12:15:16,454] ({SIGTERM handler}
SignalUtils.scala[apply$mcZ$sp]:43) - RECEIVED SIGNAL TERM
…
ERROR [2019-10-09 12:15:16,609] ({Reporter} Logging.scala[logError]:91) -
Exception from Reporter thread.
org.apache.hadoop.yarn.exceptions.ApplicationAttemptNotFoundException:
Application attempt appattempt_1570490897819_0013_000001 doesn't exist in
ApplicationMasterService cache.
Any idea?
Manuel
From: Jeff Zhang [mailto:[email protected]]
Sent: Friday, October 4, 2019 5:12 PM
To: users
Subject: Re: thrift.transport.TTransportException
Then it looks like something wrong with the python process. Do you run it in
yarn-cluster mode or yarn-client mode ?
Try to add the following line to log4j.properties for yarn-client mode or
log4j_yarn_cluster.properties for yarn-cluster mode
log4j.logger.org.apache.zeppelin.interpreter=DEBUG
And try it again, this time you will get more log info, I suspect the python
process fail to start
Manuel Sopena Ballesteros
<[email protected]<mailto:[email protected]>> 于2019年10月4日周五
上午9:09写道：
Sorry for the late response,
Yes, I have successfully ran few simple scala codes using %spark interpreter in
zeppelin.
What should I do next?
Manuel
From: Jeff Zhang [mailto:[email protected]<mailto:[email protected]>]
Sent: Tuesday, October 1, 2019 5:44 PM
To: users
Subject: Re: thrift.transport.TTransportException
It looks like you are using pyspark, could you try just start scala spark
interpreter via `%spark` ? First let's figure out whether it is related with
pyspark.
Manuel Sopena Ballesteros
<[email protected]<mailto:[email protected]>> 于2019年10月1日周二
下午3:29写道：
Dear Zeppelin community,
I would like to ask for advice in regards an error I am having with thrift.
I am getting quite a lot of these errors while running my notebooks
org.apache.thrift.transport.TTransportException at
org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86) at
org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:429) at
org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:318) at
org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:219)
at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:77) at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.recv_interpret(RemoteInterpreterService.java:274)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.interpret(RemoteInterpreterService.java:258)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter$4.call(RemoteInterpreter.java:233)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter$4.call(RemoteInterpreter.java:229)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterProcess.callRemoteFunction(RemoteInterpreterProcess.java:135)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter.interpret(RemoteInterpreter.java:228)
at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:437) at
org.apache.zeppelin.scheduler.Job.run(Job.java:188) at
org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:307)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at
java.util.concurrent.FutureTask.run(FutureTask.java:266) at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
And this is the Spark driver application logs:
…
===============================================================================
YARN executor launch context:
env:
CLASSPATH ->
{{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>/usr/hdp/3.1.0.0-78/hadoop/*<CPS>/usr/hdp/3.1.0.0-78/hadoop/lib/*<CPS>/usr/hdp/current/hadoop-hdfs-client/*<CPS>/usr/hdp/current/hadoop-hdfs-client/lib/*<CPS>/usr/hdp/current/hadoop-yarn-client/*<CPS>/usr/hdp/current/hadoop-yarn-client/lib/*<CPS>$PWD/mr-framework/hadoop/share/hadoop/mapreduce/*:$PWD/mr-framework/hadoop/share/hadoop/mapreduce/lib/*:$PWD/mr-framework/hadoop/share/hadoop/common/*:$PWD/mr-framework/hadoop/share/hadoop/common/lib/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/*:$PWD/mr-framework/hadoop/share/hadoop/yarn/lib/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/*:$PWD/mr-framework/hadoop/share/hadoop/hdfs/lib/*:$PWD/mr-framework/hadoop/share/hadoop/tools/lib/*:/usr/hdp/3.1.0.0-78/hadoop/lib/hadoop-lzo-0.6.0.3.1.0.0-78.jar:/etc/hadoop/conf/secure<CPS>{{PWD}}/__spark_conf__/__hadoop_conf__
SPARK_YARN_STAGING_DIR ->
hdfs://gl-hdp-ctrl01-mlx.mlx:8020/user/mansop/.sparkStaging/application_1568954689585_0052
SPARK_USER -> mansop
PYTHONPATH ->
/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip:/usr/hdp/current/spark2-client/python/:<CPS>{{PWD}}/pyspark.zip<CPS>{{PWD}}/py4j-0.10.7-src.zip
command:
LD_LIBRARY_PATH="/usr/hdp/current/hadoop-client/lib/native:/usr/hdp/current/hadoop-client/lib/native/Linux-amd64-64:$LD_LIBRARY_PATH"
\
{{JAVA_HOME}}/bin/java \
-server \
-Xmx1024m \
'-XX:+UseNUMA' \
-Djava.io.tmpdir={{PWD}}/tmp \
'-Dspark.history.ui.port=18081' \
-Dspark.yarn.app.container.log.dir=<LOG_DIR> \
-XX:OnOutOfMemoryError='kill %p' \
org.apache.spark.executor.CoarseGrainedExecutorBackend \
--driver-url \
spark://[email protected]:35602 \
--executor-id \
<executorId> \
--hostname \
<hostname> \
--cores \
1 \
--app-id \
application_1568954689585_0052 \
--user-class-path \
file:$PWD/__app__.jar \
1><LOG_DIR>/stdout \
2><LOG_DIR>/stderr
resources:
__app__.jar -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx"
port: 8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/spark-interpreter-0.8.0.3.1.0.0-78.jar"
} size: 20433040 timestamp: 1569804142906 type: FILE visibility: PRIVATE
__spark_conf__ -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx"
port: 8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/__spark_conf__.zip"
} size: 277725 timestamp: 1569804143239 type: ARCHIVE visibility: PRIVATE
sparkr -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx" port:
8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/sparkr.zip" } size:
688255 timestamp: 1569804142991 type: ARCHIVE visibility: PRIVATE
log4j_yarn_cluster.properties -> resource { scheme: "hdfs" host:
"gl-hdp-ctrl01-mlx.mlx" port: 8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/log4j_yarn_cluster.properties"
} size: 1018 timestamp: 1569804142955 type: FILE visibility: PRIVATE
pyspark.zip -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx"
port: 8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/pyspark.zip" } size:
550570 timestamp: 1569804143018 type: FILE visibility: PRIVATE
__spark_libs__ -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx"
port: 8020 file: "/hdp/apps/3.1.0.0-78/spark2/spark2-hdp-yarn-archive.tar.gz" }
size: 280293050 timestamp: 1568938921259 type: ARCHIVE visibility: PUBLIC
py4j-0.10.7-src.zip -> resource { scheme: "hdfs" host:
"gl-hdp-ctrl01-mlx.mlx" port: 8020 file:
"/user/mansop/.sparkStaging/application_1568954689585_0052/py4j-0.10.7-src.zip"
} size: 42437 timestamp: 1569804143043 type: FILE visibility: PRIVATE
__hive_libs__ -> resource { scheme: "hdfs" host: "gl-hdp-ctrl01-mlx.mlx"
port: 8020 file: "/hdp/apps/3.1.0.0-78/spark2/spark2-hdp-hive-archive.tar.gz" }
size: 43807162 timestamp: 1568938925069 type: ARCHIVE visibility: PUBLIC
===============================================================================
INFO [2019-09-30 10:42:37,303] ({main} RMProxy.java[newProxyInstance]:133) -
Connecting to ResourceManager at
gl-hdp-ctrl03-mlx.mlx/10.0.1.248:8030<http://10.0.1.248:8030>
INFO [2019-09-30 10:42:37,324] ({main} Logging.scala[logInfo]:54) - Registering
the ApplicationMaster
INFO [2019-09-30 10:42:37,454] ({main}
Configuration.java[getConfResourceAsInputStream]:2756) - found resource
resource-types.xml at file:/etc/hadoop/3.1.0.0-78/0/resource-types.xml
INFO [2019-09-30 10:42:37,470] ({main} Logging.scala[logInfo]:54) - Will
request 2 executor container(s), each with 1 core(s) and 1408 MB memory
(including 384 MB of overhead)
INFO [2019-09-30 10:42:37,474] ({dispatcher-event-loop-14}
Logging.scala[logInfo]:54) - ApplicationMaster registered as
NettyRpcEndpointRef(spark://[email protected]:35602)
INFO [2019-09-30 10:42:37,485] ({main} Logging.scala[logInfo]:54) - Submitted 2
unlocalized container requests.
INFO [2019-09-30 10:42:37,518] ({main} Logging.scala[logInfo]:54) - Started
progress reporter thread with (heartbeat : 3000, initial allocation : 200)
intervals
INFO [2019-09-30 10:42:37,619] ({Reporter} Logging.scala[logInfo]:54) -
Launching container container_e01_1568954689585_0052_01_000002 on host
r640-1-12-mlx.mlx for executor with ID 1
INFO [2019-09-30 10:42:37,621] ({Reporter} Logging.scala[logInfo]:54) -
Launching container container_e01_1568954689585_0052_01_000003 on host
r640-1-13-mlx.mlx for executor with ID 2
INFO [2019-09-30 10:42:37,623] ({Reporter} Logging.scala[logInfo]:54) -
Received 2 containers from YARN, launching executors on 2 of them.
INFO [2019-09-30 10:42:39,481] ({dispatcher-event-loop-51}
Logging.scala[logInfo]:54) - Registered executor
NettyRpcEndpointRef(spark-client://Executor)
(10.0.1.12:54340<http://10.0.1.12:54340>) with ID 1
INFO [2019-09-30 10:42:39,553] ({dispatcher-event-loop-62}
Logging.scala[logInfo]:54) - Registering block manager r640-1-12-mlx.mlx:33043
with 408.9 MB RAM, BlockManagerId(1, r640-1-12-mlx.mlx, 33043, None)
INFO [2019-09-30 10:42:40,003] ({dispatcher-event-loop-9}
Logging.scala[logInfo]:54) - Registered executor
NettyRpcEndpointRef(spark-client://Executor)
(10.0.1.13:33812<http://10.0.1.13:33812>) with ID 2
INFO [2019-09-30 10:42:40,023] ({pool-6-thread-2} Logging.scala[logInfo]:54) -
SchedulerBackend is ready for scheduling beginning after reached
minRegisteredResourcesRatio: 0.8
INFO [2019-09-30 10:42:40,025] ({pool-6-thread-2} Logging.scala[logInfo]:54) -
YarnClusterScheduler.postStartHook done
INFO [2019-09-30 10:42:40,072] ({dispatcher-event-loop-11}
Logging.scala[logInfo]:54) - Registering block manager r640-1-13-mlx.mlx:34105
with 408.9 MB RAM, BlockManagerId(2, r640-1-13-mlx.mlx, 34105, None)
INFO [2019-09-30 10:42:41,779] ({pool-6-thread-2}
SparkShims.java[loadShims]:54) - Initializing shims for Spark 2.x
INFO [2019-09-30 10:42:41,840] ({pool-6-thread-2}
Py4JUtils.java[createGatewayServer]:44) - Launching GatewayServer at
127.0.0.1:36897<http://127.0.0.1:36897>
INFO [2019-09-30 10:42:41,852] ({pool-6-thread-2}
PySparkInterpreter.java[createGatewayServerAndStartScript]:265) - pythonExec:
/home/mansop/anaconda2/bin/python
INFO [2019-09-30 10:42:41,862] ({pool-6-thread-2}
PySparkInterpreter.java[setupPySparkEnv]:236) - PYTHONPATH:
/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip:/usr/hdp/current/spark2-client/python/::/d1/hadoop/yarn/local/usercache/mansop/appcache/application_1568954689585_0052/container_e01_1568954689585_0052_01_000001/pyspark.zip:/d1/hadoop/yarn/local/usercache/mansop/appcache/application_1568954689585_0052/container_e01_1568954689585_0052_01_000001/py4j-0.10.7-src.zip
ERROR [2019-09-30 10:43:09,061] ({SIGTERM handler}
SignalUtils.scala[apply$mcZ$sp]:43) - RECEIVED SIGNAL TERM
INFO [2019-09-30 10:43:09,068] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Invoking stop() from shutdown hook
INFO [2019-09-30 10:43:09,082] ({shutdown-hook-0}
AbstractConnector.java[doStop]:318) - Stopped
Spark@505439b3{HTTP/1.1,[http/1.1]}{0.0.0.0:0<http://0.0.0.0:0>}
INFO [2019-09-30 10:43:09,085] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Stopped Spark web UI at http://r640-1-12-mlx.mlx:42446
INFO [2019-09-30 10:43:09,140] ({dispatcher-event-loop-52}
Logging.scala[logInfo]:54) - Driver requested a total number of 0 executor(s).
INFO [2019-09-30 10:43:09,142] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Shutting down all executors
INFO [2019-09-30 10:43:09,144] ({dispatcher-event-loop-51}
Logging.scala[logInfo]:54) - Asking each executor to shut down
INFO [2019-09-30 10:43:09,151] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Stopping SchedulerExtensionServices
(serviceOption=None,
services=List(),
started=false)
ERROR [2019-09-30 10:43:09,155] ({Reporter} Logging.scala[logError]:91) -
Exception from Reporter thread.
org.apache.hadoop.yarn.exceptions.ApplicationAttemptNotFoundException:
Application attempt appattempt_1568954689585_0052_000001 doesn't exist in
ApplicationMasterService cache.
at
org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:404)
at
org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
at
org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:524)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1025)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:876)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:822)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2682)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method)
at
sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at
java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at
org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
at
org.apache.hadoop.yarn.ipc.RPCUtil.instantiateYarnException(RPCUtil.java:75)
at
org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:116)
at
org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:79)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy21.allocate(Unknown Source)
at
org.apache.hadoop.yarn.client.api.impl.AMRMClientImpl.allocate(AMRMClientImpl.java:320)
at
org.apache.spark.deploy.yarn.YarnAllocator.allocateResources(YarnAllocator.scala:268)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:556)
Caused by:
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.ApplicationAttemptNotFoundException):
Application attempt appattempt_1568954689585_0052_000001 doesn't exist in
ApplicationMasterService cache.
at
org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:404)
at
org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
at
org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:524)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1025)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:876)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:822)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2682)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1497)
at org.apache.hadoop.ipc.Client.call(Client.java:1443)
at org.apache.hadoop.ipc.Client.call(Client.java:1353)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy20.allocate(Unknown Source)
at
org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:77)
... 13 more
INFO [2019-09-30 10:43:09,164] ({Reporter} Logging.scala[logInfo]:54) - Final
app status: FAILED, exitCode: 12, (reason: Application attempt
appattempt_1568954689585_0052_000001 doesn't exist in ApplicationMasterService
cache.
at
org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:404)
at
org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
at
org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:524)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1025)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:876)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:822)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2682)
)
INFO [2019-09-30 10:43:09,166] ({dispatcher-event-loop-54}
Logging.scala[logInfo]:54) - MapOutputTrackerMasterEndpoint stopped!
INFO [2019-09-30 10:43:09,236] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
MemoryStore cleared
INFO [2019-09-30 10:43:09,237] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
BlockManager stopped
INFO [2019-09-30 10:43:09,237] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
BlockManagerMaster stopped
INFO [2019-09-30 10:43:09,241] ({dispatcher-event-loop-73}
Logging.scala[logInfo]:54) - OutputCommitCoordinator stopped!
INFO [2019-09-30 10:43:09,252] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Successfully stopped SparkContext
INFO [2019-09-30 10:43:09,253] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Shutdown hook called
INFO [2019-09-30 10:43:09,254] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Deleting directory
/d1/hadoop/yarn/local/usercache/mansop/appcache/application_1568954689585_0052/spark-ba80cda3-812a-4cf0-b1f6-6e9eb52952b2
INFO [2019-09-30 10:43:09,254] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Deleting directory
/d0/hadoop/yarn/local/usercache/mansop/appcache/application_1568954689585_0052/spark-43078781-8f1c-4cd6-a8da-e81b32892cf8
INFO [2019-09-30 10:43:09,255] ({shutdown-hook-0} Logging.scala[logInfo]:54) -
Deleting directory
/d0/hadoop/yarn/local/usercache/mansop/appcache/application_1568954689585_0052/spark-43078781-8f1c-4cd6-a8da-e81b32892cf8/pyspark-9138f7ad-3f15-42c6-9bf3-e3e72d5d4086
How can I continue troubleshooting in order to find out what this error means?
Thank you very much
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Best Regards
Jeff Zhang
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any attachments are intended for the addressee named and may contain legally
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Jeff Zhang
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