Spark submit: spark-submit \ --master yarn \ --deploy-mode cluster \ --conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=kafka_client_jaas.conf -Dlog4j.configuration=xxx -Djava.util.Arrays.useLegacyMergeSort=true" \ --conf "spark.driver.extraJavaOptions=-Djava.security.auth.login.config=kafka_client_jaas.conf -Dlog4j.configuration=xxx -Djava.util.Arrays.useLegacyMergeSort=true" \ --conf spark.ui.port=18086 \ --conf spark.executor.memory=${executor_memory} \ --conf spark.executor.instances=${num_executors} \ --conf spark.executor.cores=${executor_cores} \ --conf spark.driver.memory=4g \ --conf spark.driver.maxResultSize=3g \ --conf spark.kafka.broker.ingest=xxx \ --conf spark.kafka.zookeeper.ingest=xxx \ --conf spark.kafka.broker.egest=xxx \ --conf spark.kafka.topic.input=xxx \ --conf spark.kafka.topic.output=xxx \ --conf spark.kafka.input.interval=10 \ --conf spark.kafka.group=xxx \ --conf spark.streaming.kafka.maxRetries=10 \ --conf spark.kafka.security.protocol.ingress=SASL_PLAINTEXT \ --conf spark.kafka.security.protocol.egress=SASL_PLAINTEXT \ --conf spark.fetch.message.max.bytes=104857600 \ --conf spark.hive.enable.stats=true \ --conf spark.streaming.backpressure.enabled=true \ --conf spark.streaming.kafka.maxRatePerPartition=1 \ --conf spark.streaming.receiver.maxRate=10 \ --conf spark.executor.heartbeatInterval=120s \ --conf spark.network.timeout=600s \ --conf spark.yarn.scheduler.heartbeat.interval-ms=1000 \ --conf spark.sql.parquet.compression.codec=snappy \ --conf spark.scheduler.minRegisteredResourcesRatio=1 \ --conf spark.yarn.maxAppAttempts=10 \ --conf spark.yarn.am.attemptFailuresValidityInterval=1h \ --conf spark.yarn.max.executor.failures=$((8 * ${num_executors})) `# Increase max executor failures (Default: max(numExecutors * 2, 3))` \ --conf spark.yarn.executor.failuresValidityInterval=1h \ --conf spark.task.maxFailures=8 \ --conf spark.yarn.submit.waitAppCompletion=false \ --conf spark.yarn.principal=xxx \ --conf spark.yarn.keytab=xxx \ --conf spark.hadoop.fs.hdfs.impl.disable.cache=true \ --queue default \ ${APP_HOME}/xxx.jar ... View more

Stack trace: WARN Client: Exception encountered while connecting to the server : org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.Secret Manager$InvalidToken): token (HDFS_DELEGATION_TOKEN token 155456 for spark) can't be found in cache Exception in thread "main" org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken): token (HDFS_DELEGATION_TOKEN token 1 55456 for spark) can't be found in cache at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1554) at org.apache.hadoop.ipc.Client.call(Client.java:1498) at org.apache.hadoop.ipc.Client.call(Client.java:1398) at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233) at com.sun.proxy.$Proxy10.getFileInfo(Unknown Source) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:818) 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:291) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:203) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:185) at com.sun.proxy.$Proxy11.getFileInfo(Unknown Source) at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:2165) at org.apache.hadoop.hdfs.DistributedFileSystem$26.doCall(DistributedFileSystem.java:1442) at org.apache.hadoop.hdfs.DistributedFileSystem$26.doCall(DistributedFileSystem.java:1438) at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1438) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$6.apply(ApplicationMaster.scala:160) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$6.apply(ApplicationMaster.scala:157) at scala.Option.foreach(Option.scala:257) at org.apache.spark.deploy.yarn.ApplicationMaster.<init>(ApplicationMaster.scala:157) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:765) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:67) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:66) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866) at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:66) at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:764) at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala) ... View more

This is exactly the way we use spark-submit. A token is valid only for 24 hrs. Yarn renew the token every 24 hrs automatically until it reaches the max lifetime (which is 7 days) then the token cannot get renewed anymore and needs to be reissued. Hence, we are restarting the job every 7 days. Restarting the job every 7 days doesn't seem to be the right approach for a production environment! ... View more

So is WASB fully supported by Ranger KMS to enable TDE? ... View more

Have you checked Nifi throughput using Content Repo in a JBOD mode instead of Raid? Basically, let application decide for the distribution of data. ... View more

So it is not required to disable Kerberos, upgrade HDP or install new service and enable Kerberos again? ... View more

@Manish Kumar Yadav Sorry I got confused. What is the relation of Windows Integrated Authentication with the order of Kerberisation? ... View more

@Geoffrey Shelton Okot What about the order of Kerberization? Which one is safer? Kerberizing at the final step or it doesn't matter? ... View more

@Michael Young Thank you very much. Unfortunately, the hardware vendor we have married to does not provide any option like 24x8 TB. I have to choose between 12x(10/8/6TB) or 56x(10/8/6) TB. What do you think? Should I go for 12x10TB for the cold storage? ... View more

Please follow this instruction to deploy HDP on heterogeneous disks for Hot, Warm and Cold tiering in a single node. https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.0/bk_hdfs-administration/content/configuring_archival_storage.html ... View more

What about RCP encryption? What would be the added value of enabling RPC encryption when we have TDE? ... View more

1- An authorised user on Ranger 1 needs to have access to Ranger 2 cluster (Without TDE) 2- An authorised user on Ranger 1 needs to have access to corresponding user encryption zone at Ranger 2 (with TDE) ... View more

Basically, this is not a multi-cluster management. I am looking for a way to integrate two different Ranger instances. ... View more