I change spark on yarn capacityscheduler from default to DominantResourceCalculator on ambari,and restarted yarn。
then i found that spark2 thriftserver stoped,i try to restart on ambari and using start-thriftserver.sh,both failed.
Traceback (most recent call last):
File "/usr/lib/ambari-agent/lib/resource_management/libraries/functions/check_process_status.py", line 57, in check_process_status sudo.kill(pid, 0)
File "/usr/lib/ambari-agent/lib/resource_management/core/sudo.py", line 180, in kill
os.kill(pid, signal)
OSError: [Errno 3] No such process
The above exception was the cause of the following exception:
Traceback (most recent call last):
File "/var/lib/ambari-agent/cache/stacks/HDP/3.0/services/SPARK2/package/scripts/spark_thrift_server.py", line 85, in <module>
SparkThriftServer().execute()
File "/usr/lib/ambari-agent/lib/resource_management/libraries/script/script.py", line 352, in execute
method(env)
File "/var/lib/ambari-agent/cache/stacks/HDP/3.0/services/SPARK2/package/scripts/spark_thrift_server.py", line 53, in start
spark_service('sparkthriftserver', upgrade_type=upgrade_type, action='start')
File "/var/lib/ambari-agent/cache/stacks/HDP/3.0/services/SPARK2/package/scripts/spark_service.py", line 165, in spark_service
check_process_status(status_params.spark_thrift_server_pid_file)
File "/usr/lib/ambari-agent/lib/resource_management/libraries/functions/check_process_status.py", line 61, in check_process_status
raise ComponentIsNotRunning()
resource_management.core.exceptions.ComponentIsNotRunning
When i use spark-submit or spark-shell,spark-sql to submit a job,it also failed :
spark-sql --master yarn --driver-memory 2g --executor-cores 2 --num-executors 5 --executor-memory 4g
The error msg like :
Exception in thread "main" org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:89)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:164)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:500)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2493)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:934)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:925)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:925)
at com.im30.idmapping.idmapping_etl.userlog2hive$.main(userlog2hive.scala:21)
at com.im30.idmapping.idmapping_etl.userlog2hive.main(userlog2hive.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:904)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Related
I have created an EMR cluster (v5.35.0) and am trying to run a sample word_count.py to verify if I am able to execute a flink job.
I am able to use python3 as mentioned in this question How do you run pyflink scripts on AWS EMR?
Using the below command to submit the job from /usr/lib/flink on the master node
flink run -m yarn-cluster --python examples/python/table/word_count.py
but I run into the following error
Executing word_count example with default input data set.
Use --input to specify file input.
Printing result to stdout. Use --output to specify output path.
Traceback (most recent call last):
File "examples/python/table/word_count.py", line 146, in <module>
word_count(known_args.input, known_args.output)
File "examples/python/table/word_count.py", line 121, in word_count
.execute_insert('sink') \
File "/usr/lib/flink/opt/python/pyflink.zip/pyflink/table/table_result.py", line 76, in wait
File "/usr/lib/flink/opt/python/py4j-0.10.8.1-src.zip/py4j/java_gateway.py", line 1286, in __call__
File "/usr/lib/flink/opt/python/pyflink.zip/pyflink/util/exceptions.py", line 146, in deco
File "/usr/lib/flink/opt/python/py4j-0.10.8.1-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o100.await.
: java.util.concurrent.ExecutionException: org.apache.flink.table.api.TableException: Failed to wait job finish
at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
at org.apache.flink.table.api.internal.TableResultImpl.awaitInternal(TableResultImpl.java:129)
at org.apache.flink.table.api.internal.TableResultImpl.await(TableResultImpl.java:92)
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.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282)
at org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79)
at org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.flink.table.api.TableException: Failed to wait job finish
at org.apache.flink.table.api.internal.InsertResultIterator.hasNext(InsertResultIterator.java:56)
at org.apache.flink.table.api.internal.TableResultImpl$CloseableRowIteratorWrapper.hasNext(TableResultImpl.java:370)
at org.apache.flink.table.api.internal.TableResultImpl$CloseableRowIteratorWrapper.isFirstRowReady(TableResultImpl.java:383)
at org.apache.flink.table.api.internal.TableResultImpl.lambda$awaitInternal$1(TableResultImpl.java:116)
at java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1640)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.util.concurrent.ExecutionException: org.apache.flink.client.program.ProgramInvocationException: Job failed (JobID: 8064c1bde7be5c84d7086c13da8cb82b)
at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1908)
at org.apache.flink.table.api.internal.InsertResultIterator.hasNext(InsertResultIterator.java:54)
... 7 more
Caused by: org.apache.flink.client.program.ProgramInvocationException: Job failed (JobID: 8064c1bde7be5c84d7086c13da8cb82b)
at org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:125)
at java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:616)
at java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:591)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at org.apache.flink.util.concurrent.FutureUtils.lambda$retryOperationWithDelay$9(FutureUtils.java:403)
at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at org.apache.flink.client.program.rest.RestClusterClient.lambda$pollResourceAsync$26(RestClusterClient.java:698)
at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1975)
at org.apache.flink.util.concurrent.FutureUtils.lambda$retryOperationWithDelay$9(FutureUtils.java:403)
at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:774)
at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:750)
at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:488)
at java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:575)
at java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:943)
at java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:456)
... 3 more
Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:144)
at org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:123)
... 24 more
Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138)
at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82)
at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:228)
at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:218)
at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:209)
at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:679)
at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:79)
at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:444)
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.flink.runtime.rpc.akka.AkkaRpcActor.lambda$handleRpcInvocation$1(AkkaRpcActor.java:316)
at org.apache.flink.runtime.concurrent.akka.ClassLoadingUtils.runWithContextClassLoader(ClassLoadingUtils.java:83)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:314)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:217)
at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:78)
at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:163)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:24)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:20)
at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:20)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at akka.actor.Actor.aroundReceive(Actor.scala:537)
at akka.actor.Actor.aroundReceive$(Actor.scala:535)
at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:220)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:580)
at akka.actor.ActorCell.invoke(ActorCell.scala:548)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:270)
at akka.dispatch.Mailbox.run(Mailbox.scala:231)
at akka.dispatch.Mailbox.exec(Mailbox.scala:243)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
Caused by: java.io.IOException: Failed to execute the command: python3 -c import pyflink;import os;print(os.path.join(os.path.abspath(os.path.dirname(pyflink.__file__)), 'bin'))
output: Traceback (most recent call last):
File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'pyflink'
at org.apache.flink.python.util.PythonEnvironmentManagerUtils.execute(PythonEnvironmentManagerUtils.java:211)
at org.apache.flink.python.util.PythonEnvironmentManagerUtils.getPythonUdfRunnerScript(PythonEnvironmentManagerUtils.java:154)
at org.apache.flink.python.env.beam.ProcessPythonEnvironmentManager.createEnvironment(ProcessPythonEnvironmentManager.java:156)
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.createPythonExecutionEnvironment(BeamPythonFunctionRunner.java:395)
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.lambda$open$0(BeamPythonFunctionRunner.java:243)
at org.apache.flink.runtime.memory.MemoryManager.lambda$getSharedMemoryResourceForManagedMemory$5(MemoryManager.java:539)
at org.apache.flink.runtime.memory.SharedResources.createResource(SharedResources.java:126)
at org.apache.flink.runtime.memory.SharedResources.getOrAllocateSharedResource(SharedResources.java:72)
at org.apache.flink.runtime.memory.MemoryManager.getSharedMemoryResourceForManagedMemory(MemoryManager.java:555)
at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.open(BeamPythonFunctionRunner.java:246)
at org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.open(AbstractPythonFunctionOperator.java:131)
at org.apache.flink.table.runtime.operators.python.AbstractStatelessFunctionOperator.open(AbstractStatelessFunctionOperator.java:110)
at org.apache.flink.table.runtime.operators.python.table.PythonTableFunctionOperator.open(PythonTableFunctionOperator.java:113)
at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.initializeStateAndOpenOperators(RegularOperatorChain.java:110)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:711)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.call(StreamTaskActionExecutor.java:100)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreInternal(StreamTask.java:687)
at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:654)
at org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:958)
at org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:927)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:575)
at java.lang.Thread.run(Thread.java:750)
I have choosen spark, hadoop, flink, presto, zookeeper as the frameworks.
It works without a glitch if I use WordCount.jar but doesn't work for word_count.py
I am not sure why it shows that pyflink module is not found. I also installed apache flink again on the master node using pip as a last ditch effort but the same error occurs
pip install apache-flink==1.14
Any pointers would be helpful
What are the configurations required to access a kerberized HDFS from a pyspark application running in a remote spark cluster?
Here's my code
from pyspark import SparkConf, SparkContext
######
# Get fs handler from java gateway
######
# Create spark context
sc = SparkContext(appName="test-hdfs", conf=conf)
URI = sc._gateway.jvm.java.net.URI
Path = sc._gateway.jvm.org.apache.hadoop.fs.Path
FileSystem = sc._gateway.jvm.org.apache.hadoop.fs.FileSystem
fs = FileSystem.get(URI("hdfs://hadoop.com:8020"), sc._jsc.hadoopConfiguration())
fs.listStatus(Path('/hdfs/dir/'))
I keep running into the error below
Traceback (most recent call last):
File "/path/to/file/file.py", line 22, in <module>
fs.listStatus(Path('/hdfs/dir/'))
File "/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/usr/local/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o28.listStatus.
: org.apache.hadoop.security.AccessControlException: SIMPLE authentication is not enabled. Available:[TOKEN, KERBEROS]
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.ipc.RemoteException.instantiateException(RemoteException.java:106)
at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:2088)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:2069)
I (try to) run pyspark on Manjaro Linux with Python2. I've create a test script to create a SparkContext instance and stop it again:
import findspark
findspark.init()
from pyspark import SparkContext
if __name__ == '__main__':
sc = SparkContext()
sc.stop()
I launch this from a terminal with python2 filename.py. This has worked previously but for reasons I don't understand, this now raises the following:
Error: A JNI error has occurred, please check your installation and try again
Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/Logger
at java.lang.Class.getDeclaredMethods0(Native Method)
at java.lang.Class.privateGetDeclaredMethods(Class.java:2701)
at java.lang.Class.privateGetMethodRecursive(Class.java:3048)
at java.lang.Class.getMethod0(Class.java:3018)
at java.lang.Class.getMethod(Class.java:1784)
at sun.launcher.LauncherHelper.validateMainClass(LauncherHelper.java:544)
at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:526)
Caused by: java.lang.ClassNotFoundException: org.slf4j.Logger
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 7 more
Traceback (most recent call last):
File "mwe.py", line 22, in <module>
sc = SparkContext()
File "/opt/apache-spark/python/pyspark/context.py", line 115, in __init__
SparkContext._ensure_initialized(self, gateway=gateway, conf=conf)
File "/opt/apache-spark/python/pyspark/context.py", line 292, in _ensure_initialized
SparkContext._gateway = gateway or launch_gateway(conf)
File "/opt/apache-spark/python/pyspark/java_gateway.py", line 93, in launch_gateway
raise Exception("Java gateway process exited before sending its port number")
Exception: Java gateway process exited before sending its port number
I've read on SO about others solving this problem by using Java version 8 instead of 9 or 10. However, I seem to be running version 8 already, as archlinux-java status outputs:
Available Java environments:
java-10-openjdk
java-8-jdk
java-8-jre/jre
java-8-openjdk/jre (default)
I have no idea how to proceed from here, so any help would be greatly appreciated.
I had the same problem, and I fixed it by uninstalling java-10-openjdk
I have a python script using pyspark that runs fine when done thru jupyter. When run using spark-submit it for some reason crashes trying to save results with the line
df.write.format('jdbc').options(
url='jdbc:mysql://{0}/{1}?useServerPrepStmts=false&rewriteBatchedStatements=true'.format(\
output_server, output_db),\
driver='com.mysql.jdbc.Driver',\
dbtable=output_table,\
user='user',\
password='xxxx').mode('overwrite').save()
The error being :
Traceback (most recent call last):
File "/opt/spark-2.1.0-bin-hadoop2.7/sbin/test.py", line 381, in <module>
password='xxxx').mode('overwrite').save()
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 548, in save
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
if records_acum:
File "/opt/spark-2.1.0-bin-hadoop2.7/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o55.save.
: java.lang.ClassNotFoundException: com.mysql.jdbc.Driver
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:38)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$anonfun$6.apply(JDBCOptions.scala:78)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:78)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:34)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:53)
at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scala:426)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:215)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:745)
If I try to run this using
/opt/Spark/spark-2.2.0_hadoop-2.7/bin/spark-submit --packages mysql:mysql-connector-java:5.1.40 test.py
then the crash is avoided but the script never finishes, just hangs on the same df.save line. In case it isnt clear, I would like to run the script to completion, saving the data succesfully.
Try adding the driver class path to your spark-submit application.
/opt/Spark/spark-2.2.0_hadoop-2.7/bin/spark-submit --driver-class-path=path/to/mysqlconnector.jar test.py
I found the following
Add jars to a Spark Job - spark-submit it should help resolve your loading problem. Seems like the executor is not able to get the MySQL driver.
When I follow this example and try to use the command spark-submit within the cloudera vm envirionrment, I constantly get the following error:
ERROR spark.SparkContext: Error initializing SparkContext.
org.apache.hadoop.security.AccessControlException: Permission denied: user=cloudera, access=WRITE, inode="/user/spark/applicationHistory":spark:supergroup:drwxr-xr-x
....
Traceback (most recent call last):
File "/home/cloudera/wordcount.py", line 9, in <module>
sc = SparkContext(conf=conf)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/context.py", line 115, in __init__
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/context.py", line 172, in _do_init
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/context.py", line 235, in _initialize_context
File "/usr/lib/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 1064, in __call__
File "/usr/lib/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: org.apache.hadoop.security.AccessControlException: Permission denied: user=cloudera, access=WRITE, inode="/user/spark/applicationHistory":spark:supergroup:drwxr-xr-x
I have tried these two commands:
1, $ spark-submit --master yarn --deploy-mode client --executor-memory 1g \ --name wordcount --conf "spark.app.id=wordcount" wordcount.py hdfs://namenode_host:8020/path/to/inputfile.txt
2, $ spark-submit --master yarn --deploy-mode client --executor-memory 1g \ --name wordcount --conf "spark.app.id=wordcount" wordcount.py inputfile.txt
Can somebody help?
Try running with the following environment variable:
HADOOP_USER_NAME=hdfs spark-submit <your command>