Hi Folks, I have 2 NameNode (HA), 16 DataNode, and 5 JournalNode. When I tried to shutdown 8 DataNode, 2 NameNode was down and not running. Please give me a solution for my case. How many journal nodes are needed to be able to handle a minimum of 8 DataNodes that are down or have a greater than 50% failure rate? Pleas Advice..... ... View more

Please help me, I got an issue with the posted job by Livy with the error " table not found", even though the table exists. this script for run job Livy curl -X POST --data '{ "file": "hdfs:///scripts/get_count.py", "conf": { "spark.executor.memory": "17g", "spark.executor.cores": "5", "spark.executor.instances": "23", "spark.driver.memory": "17g", "spark.driver.cores": "5", "spark.default.parallelism": "110", "spark.driver.maxResultSize": "17g", "spark.driver.memoryOverhead": "1740m", "spark.executor.memoryOverhead": "1740m", "spark.dynamicAllocation.enabled": "false", "spark.sql.adaptive.enabled": "true", "spark.sql.extensions": "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions", "spark.sql.catalog.spark_catalog": "org.apache.iceberg.spark.SparkCatalog", "spark.sql.catalog.spark_catalog.type": "hive", "spark.sql.catalog.spark_catalog.uri": "thrift://master1.com:9083,thrift://master2.com:9083", "spark.sql.catalog.spark_catalog.warehouse": "hdfs:///apps/spark/warehouse" }, "jars": ["hdfs:///user/spark/iceberg-jars/iceberg-spark-runtime-3.4_2.12-1.5.2.jar"], "name": "your-spark-job", "executorMemory": "17g", "executorCores": 5, "numExecutors": 23, "driverMemory": "17g", "driverCores": 5 }' -H "Content-Type: application/json" http://master1.com:8998/batches but show error in log Livy 24/10/15 04:26:20 INFO SparkContext: Running Spark version 3.4.2.1.2.2.0-46 24/10/15 04:26:20 INFO ResourceUtils: ============================================================== 24/10/15 04:26:20 INFO ResourceUtils: No custom resources configured for spark.driver. 24/10/15 04:26:20 INFO ResourceUtils: ============================================================== 24/10/15 04:26:20 INFO SparkContext: Submitted application: LIVY 24/10/15 04:26:20 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(memoryOverhead -> name: memoryOverhead, amount: 921, script: , vendor: , cores -> name: cores, amount: 5, script: , vendor: , memory -> name: memory, amount: 9216, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0) 24/10/15 04:26:20 INFO ResourceProfile: Limiting resource is cpus at 5 tasks per executor 24/10/15 04:26:20 INFO ResourceProfileManager: Added ResourceProfile id: 0 24/10/15 04:26:20 INFO SecurityManager: Changing view acls to: root 24/10/15 04:26:20 INFO SecurityManager: Changing modify acls to: root 24/10/15 04:26:20 INFO SecurityManager: Changing view acls groups to: 24/10/15 04:26:20 INFO SecurityManager: Changing modify acls groups to: 24/10/15 04:26:20 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: root; groups with view permissions: EMPTY; users with modify permissions: root; groups with modify permissions: EMPTY 24/10/15 04:26:21 INFO Utils: Successfully started service 'sparkDriver' on port 42139. 24/10/15 04:26:21 INFO SparkEnv: Registering MapOutputTracker 24/10/15 04:26:21 INFO SparkEnv: Registering BlockManagerMaster 24/10/15 04:26:21 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 24/10/15 04:26:21 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 24/10/15 04:26:21 INFO SparkEnv: Registering BlockManagerMasterHeartbeat 24/10/15 04:26:21 INFO DiskBlockManager: Created local directory at /tmp/blockmgr-cca161d1-f821-457b-ba47-9b3105aa298e 24/10/15 04:26:21 INFO MemoryStore: MemoryStore started with capacity 8.9 GiB 24/10/15 04:26:21 INFO SparkEnv: Registering OutputCommitCoordinator 24/10/15 04:26:22 INFO JettyUtils: Start Jetty 0.0.0.0:4040 for SparkUI 24/10/15 04:26:22 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041. 24/10/15 04:26:22 WARN Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042. 24/10/15 04:26:22 INFO Utils: Successfully started service 'SparkUI' on port 4042. 24/10/15 04:26:22 INFO SparkContext: Added JAR hdfs:///user/spark/iceberg-jars/iceberg-spark-runtime-3.4_2.12-1.5.2.jar at hdfs:///user/spark/iceberg-jars/iceberg-spark-runtime-3.4_2.12-1.5.2.jar with timestamp 1728966380634 24/10/15 04:26:22 INFO AHSProxy: Connecting to Application History server at master1.com/192.168.2.211:10200 24/10/15 04:26:23 INFO ConfiguredRMFailoverProxyProvider: Failing over to rm2 24/10/15 04:26:23 INFO Configuration: found resource resource-types.xml at file:/usr/odp/1.2.2.0-46/hadoop/conf/resource-types.xml 24/10/15 04:26:23 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (39936 MB per container) 24/10/15 04:26:23 INFO Client: Will allocate AM container, with 896 MB memory including 384 MB overhead 24/10/15 04:26:23 INFO Client: Setting up container launch context for our AM 24/10/15 04:26:23 INFO Client: Setting up the launch environment for our AM container 24/10/15 04:26:23 INFO Client: Preparing resources for our AM container 24/10/15 04:26:23 WARN Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME. 24/10/15 04:26:27 INFO Client: Uploading resource file:/tmp/spark-a0d06438-489e-4606-af57-eb39cadc53ab/__spark_libs__1742541905345715334.zip -> hdfs://ha-cluster/user/root/.sparkStaging/application_1728888529853_1238/__spark_libs__1742541905345715334.zip 24/10/15 04:26:37 INFO Client: Source and destination file systems are the same. Not copying hdfs://ha-cluster/user/spark/iceberg-jars/iceberg-spark-runtime-3.4_2.12-1.5.2.jar 24/10/15 04:26:38 INFO Client: Uploading resource file:/usr/odp/1.2.2.0-46/spark3/python/lib/pyspark.zip -> hdfs://ha-cluster/user/root/.sparkStaging/application_1728888529853_1238/pyspark.zip 24/10/15 04:26:38 INFO Client: Uploading resource file:/usr/odp/1.2.2.0-46/spark3/python/lib/py4j-0.10.9.7-src.zip -> hdfs://ha-cluster/user/root/.sparkStaging/application_1728888529853_1238/py4j-0.10.9.7-src.zip 24/10/15 04:26:38 INFO Client: Uploading resource file:/tmp/spark-a0d06438-489e-4606-af57-eb39cadc53ab/__spark_conf__7724803187618892992.zip -> hdfs://ha-cluster/user/root/.sparkStaging/application_1728888529853_1238/__spark_conf__.zip 24/10/15 04:26:38 INFO SecurityManager: Changing view acls to: root 24/10/15 04:26:38 INFO SecurityManager: Changing modify acls to: root 24/10/15 04:26:38 INFO SecurityManager: Changing view acls groups to: 24/10/15 04:26:38 INFO SecurityManager: Changing modify acls groups to: 24/10/15 04:26:38 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: root; groups with view permissions: EMPTY; users with modify permissions: root; groups with modify permissions: EMPTY 24/10/15 04:26:38 INFO Client: Submitting application application_1728888529853_1238 to ResourceManager 24/10/15 04:26:38 INFO YarnClientImpl: Submitted application application_1728888529853_1238 24/10/15 04:26:39 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:39 INFO Client: client token: N/A diagnostics: AM container is launched, waiting for AM container to Register with RM ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1728966398738 final status: UNDEFINED tracking URL: http://master2.com:8088/proxy/application_1728888529853_1238/ user: root 24/10/15 04:26:40 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:41 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:42 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:44 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:45 INFO Client: Application report for application_1728888529853_1238 (state: ACCEPTED) 24/10/15 04:26:46 INFO Client: Application report for application_1728888529853_1238 (state: RUNNING) 24/10/15 04:26:46 INFO Client: client token: N/A diagnostics: N/A ApplicationMaster host: 192.168.2.235 ApplicationMaster RPC port: -1 queue: default start time: 1728966398738 final status: UNDEFINED tracking URL: http://master2.com:8088/proxy/application_1728888529853_1238/ user: root 24/10/15 04:26:46 INFO YarnClientSchedulerBackend: Application application_1728888529853_1238 has started running. 24/10/15 04:26:46 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 40573. 24/10/15 04:26:46 INFO NettyBlockTransferService: Server created on master1.com:40573 24/10/15 04:26:46 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 24/10/15 04:26:46 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, master1.com, 40573, None) 24/10/15 04:26:46 INFO BlockManagerMasterEndpoint: Registering block manager master1.com:40573 with 8.9 GiB RAM, BlockManagerId(driver, master1.com, 40573, None) 24/10/15 04:26:46 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, master1.com, 40573, None) 24/10/15 04:26:46 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, master1.com, 40573, None) 24/10/15 04:26:46 INFO YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> master1.com,master2.com, PROXY_URI_BASES -> http://master1.com:8088/proxy/application_1728888529853_1238,http://master2.com:8088/proxy/application_1728888529853_1238, RM_HA_URLS -> master1.com:8088,master2.com:8088), /proxy/application_1728888529853_1238 24/10/15 04:26:46 INFO YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(spark-client://YarnAM) 24/10/15 04:26:46 INFO SingleEventLogFileWriter: Logging events to hdfs:/spark3-history/application_1728888529853_1238.inprogress 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /jobs: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /jobs/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /jobs/job: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /jobs/job/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /stages: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /stages/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /stages/stage: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:46 INFO ServerInfo: Adding filter to /stages/stage/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /stages/pool: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /stages/pool/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /storage: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /storage/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /storage/rdd: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /storage/rdd/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /environment: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /environment/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /executors: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /executors/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /executors/threadDump: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /executors/threadDump/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /static: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /api: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /jobs/job/kill: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /stages/stage/kill: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:47 INFO ServerInfo: Adding filter to /metrics/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:52 INFO YarnClientSchedulerBackend: SchedulerBackend is ready for scheduling beginning after waiting maxRegisteredResourcesWaitingTime: 30000000000(ns) 24/10/15 04:26:52 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir. 24/10/15 04:26:52 INFO SharedState: Warehouse path is 'hdfs://ha-cluster/apps/spark/warehouse'. 24/10/15 04:26:52 INFO ServerInfo: Adding filter to /SQL: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:52 INFO ServerInfo: Adding filter to /SQL/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:52 INFO ServerInfo: Adding filter to /SQL/execution: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:52 INFO ServerInfo: Adding filter to /SQL/execution/json: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:52 INFO ServerInfo: Adding filter to /static/sql: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter 24/10/15 04:26:55 INFO HiveConf: Found configuration file file:/etc/spark3/1.2.2.0-46/0/hive-site.xml 24/10/15 04:26:55 INFO metastore: Trying to connect to metastore with URI thrift://master2.com:9083 24/10/15 04:26:55 INFO metastore: Opened a connection to metastore, current connections: 1 24/10/15 04:26:55 INFO metastore: Connected to metastore. Traceback (most recent call last): File "/tmp/spark-5c957e19-f868-4993-a196-f5832dc0a1d9/get_count.py", line 29, in <module> df = spark.sql("SELECT * FROM user_clients LIMIT 10") File "/usr/odp/1.2.2.0-46/spark3/python/lib/pyspark.zip/pyspark/sql/session.py", line 1440, in sql File "/usr/odp/1.2.2.0-46/spark3/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__ File "/usr/odp/1.2.2.0-46/spark3/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 175, in deco pyspark.errors.exceptions.captured.AnalysisException: [TABLE_OR_VIEW_NOT_FOUND] The table or view `user_clients` cannot be found. Verify the spelling and correctness of the schema and catalog. If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog. To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS.; line 1 pos 14; 'GlobalLimit 10 +- 'LocalLimit 10 +- 'Project [*] +- 'UnresolvedRelation [user_clients], [], false 24/10/15 04:26:56 INFO SparkContext: Invoking stop() from shutdown hook 24/10/15 04:26:56 INFO SparkContext: SparkContext is stopping with exitCode 0. 24/10/15 04:26:57 INFO SparkUI: Stopped Spark web UI at http://master1.com:4042 24/10/15 04:26:57 INFO YarnClientSchedulerBackend: Interrupting monitor thread 24/10/15 04:26:57 INFO YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (192.168.2.223:41684) with ID 3, ResourceProfileId 0 24/10/15 04:26:57 INFO YarnClientSchedulerBackend: Shutting down all executors 24/10/15 04:26:57 INFO YarnSchedulerBackend$YarnDriverEndpoint: Asking each executor to shut down 24/10/15 04:26:57 INFO YarnClientSchedulerBackend: YARN client scheduler backend Stopped 24/10/15 04:26:57 INFO BlockManagerMasterEndpoint: Registering block manager slave6.com:34935 with 4.6 GiB RAM, BlockManagerId(3, slave6.com, 34935, None) 24/10/15 04:26:57 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 24/10/15 04:26:57 WARN Dispatcher: Message RequestMessage(192.168.2.223:41684, NettyRpcEndpointRef(spark://CoarseGrainedScheduler@master1.com:42139), RemoveExecutor(3,Unable to create executor due to Exception thrown in awaitResult: )) dropped due to sparkEnv is stopped. Could not find CoarseGrainedScheduler. 24/10/15 04:26:57 INFO MemoryStore: MemoryStore cleared 24/10/15 04:26:57 INFO BlockManager: BlockManager stopped 24/10/15 04:26:57 INFO BlockManagerMaster: BlockManagerMaster stopped 24/10/15 04:26:57 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 24/10/15 04:26:57 INFO SparkContext: Successfully stopped SparkContext 24/10/15 04:26:57 INFO ShutdownHookManager: Shutdown hook called 24/10/15 04:26:57 INFO ShutdownHookManager: Deleting directory /tmp/spark-a0d06438-489e-4606-af57-eb39cadc53ab/pyspark-814ca5e7-dd77-4dca-a14f-f80b8876408c 24/10/15 04:26:57 INFO ShutdownHookManager: Deleting directory /tmp/spark-5c957e19-f868-4993-a196-f5832dc0a1d9 24/10/15 04:26:57 INFO ShutdownHookManager: Deleting directory /tmp/spark-a0d06438-489e-4606-af57-eb39cadc53ab   ... View more

Hi Everyone, How do you run NIFI - Ambari as root user ? ... View more

Hai, everyone My principal KVNO is different from each other principals like this root@master:~# kvno hdfs-hadoop@EXAMPLE.COM kvno nn/master.hadoop.com@EXAMPLE.COM hdfs-hadoop@EXAMPLE.COM: kvno = 3 kvno: Server kvno@EXAMPLE.COM not found in Kerberos database while getting credentials for kvno@EXAMPLE.COM nn/master.hadoop.com@EXAMPLE.COM: kvno = 2 Can the kvno be different from each other's principals? ... View more

Hey everyone, after enabling Kerberos resource manager can't run, this log after try run resource manager. please Advice File "/usr/lib/ambari-agent/lib/resource_management/libraries/providers/hdfs_resource.py", line 295, in _run_command raise WebHDFSCallException(err_msg, result_dict) resource_management.libraries.providers.hdfs_resource.WebHDFSCallException: Execution of 'curl -sS -L -w '%{http_code}' -X GET -d '' -H 'Content-Length: 0' --negotiate -u : 'http://master.hadoop.com:50070/webhdfs/v1/services/sync/yarn-ats?op=GETFILESTATUS'' returned status_code=403. <html> <head> <meta http-equiv="Content-Type" content="text/html;charset=ISO-8859-1"/> <title>Error 403 GSSException: Failure unspecified at GSS-API level (Mechanism level: Invalid argument (400) - Cannot find key of appropriate type to decrypt AP REP - AES256 CTS mode with HMAC SHA1-96)</title> </head> <body><h2>HTTP ERROR 403 GSSException: Failure unspecified at GSS-API level (Mechanism level: Invalid argument (400) - Cannot find key of appropriate type to decrypt AP REP - AES256 CTS mode with HMAC SHA1-96)</h2> <table> <tr><th>URI:</th><td>/webhdfs/v1/services/sync/yarn-ats</td></tr> <tr><th>STATUS:</th><td>403</td></tr> <tr><th>MESSAGE:</th><td>GSSException: Failure unspecified at GSS-API level (Mechanism level: Invalid argument (400) - Cannot find key of appropriate type to decrypt AP REP - AES256 CTS mode with HMAC SHA1-96)</td></tr> <tr><th>SERVLET:</th><td>com.sun.jersey.spi.container.servlet.ServletContainer-6f19ac19</td></tr> </table> </body> </html>   for additional informations /etc/krb5.conf [libdefaults] # renew_lifetime = 7d forwardable = true default_realm = EXAMPLE.COM ticket_lifetime = 24h dns_lookup_realm = false dns_lookup_kdc = false default_ccache_name = /tmp/krb5cc_%{uid} # default_tgs_enctypes = aes256-cts # default_tkt_enctypes = aes256-cts #permitted_enctypes = aes256-cts #default_tgs_enctypes = aes des3-cbc-sha1 rc4 des-cbc-md5 #default_tkt_enctypes = aes des3-cbc-sha1 rc4 des-cbc-md5 default_tkt_enctypes = aes256-cts-hmac-sha1-96 aes128-cts-hmac-sha1-96 default_tgs_enctypes = aes256-cts-hmac-sha1-96 aes128-cts-hmac-sha1-96 permitted_enctypes = aes256-cts-hmac-sha1-96 aes128-cts-hmac-sha1-96 [domain_realm] example.com = EXAMPLE.COM [logging] default = FILE:/var/log/krb5kdc.log admin_server = FILE:/var/log/kadmind.log kdc = FILE:/var/log/krb5kdc.log [realms] EXAMPLE.COM = { master_kdc = master1.hadoop.com admin_server = master1.hadoop.com kdc = master1.hadoop.com } ... View more

Hi Everyone can help me please, I started NodeManager via ambari but showing an error like below Skipping unlimited key JCE policy check and setup since the Java VM is not managed by Ambari   ... View more