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		12-01-2016
	
		
		07:43 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Neeraj Sabharwal @Laurent Edel   for now, i've changed the execution engine to Map Reduce - to remove the problem,,   but the getting the following error on accessing the Hive View.  https://community.hortonworks.com/questions/69550/kerberized-hdp-24-not-able-to-access-hive-view.html#answer-69553  Any ideas ? 
						
					
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		12-01-2016
	
		
		07:40 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 screen-shot-2016-12-01-at-113647-am.png  screen-shot-2016-12-01-at-113656-am.png  Attaching screenshots of the Hive View configuration on Ambari. 
						
					
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		12-01-2016
	
		
		07:14 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Kuldeep Kulkarni - could you pls take a look, and let me know.. i've sone the steps provided in you post, but still getting the error.   https://community.hortonworks.com/articles/40658/configure-hive-view-for-kerberized-cluster.html  Thanks ! 
						
					
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		12-01-2016
	
		
		07:12 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							screen-shot-2016-12-01-at-110317-am.pnghdp24-core-site-notworking.xml Hi All,  I've kerberized HDP 2.4, and i'm trying to access Hive view on Ambari.  I'm logged in as admin, and i'm getting the following error -  -----------  Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: 
 Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "sandbox.hortonworks.com/10.0.2.15"; 
 destination host is: "sandbox.hortonworks.com":8020;   ---------------  I've followed the steps in the following link -  https://community.hortonworks.com/articles/40658/configure-hive-view-for-kerberized-cluster.html  Pls note - I'm able to access the Tez view, but the Hive view is showing exception  Attached is screenshot of Hive View, and core-site.xml. 
						
					
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			Apache Ambari
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			Apache Hive
 
			
    
	
		
		
		11-30-2016
	
		
		06:50 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Divakar Annapureddy, @Timothy Spann, @milind pandit - i'm getting the same error ..  Any ideas on how to fix this... details in the link below.  https://community.hortonworks.com/questions/69118/javaioioexception-previous-writer-likely-failed-to-1.html 
						
					
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		11-30-2016
	
		
		06:24 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Neeraj Sabharwal, 
@Kibrom Gebrehiwot, @Laurent Edel - any ideas on this issue ? 
						
					
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		11-30-2016
	
		
		02:49 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Pls note -  The namenode was in Safe mode, hence i removed the safe mode.  Apart from this, no other changes done.
 
						
					
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		11-30-2016
	
		
		02:07 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Hi All,  I've a Kerberized HDP 2.4 cluster, and i'm trying to access Hive on command line.  I'm logged in as - root, got the kerberos token for user - hive  On hive command, i get the following error -  Any ideas ?  ------------------------------------------------------------------  [root@sandbox ~]# hive
WARNING: Use "yarn jar" to launch YARN applications.
Logging initialized using configuration in file:/etc/hive/2.4.0.0-169/0/hive-log4j.properties
Exception in thread "main" java.lang.RuntimeException: java.io.IOException: Previous writer likely failed to write hdfs://sandbox.hortonworks.com:8020/tmp/hive/hive/_tez_session_dir/cfcd5d27-c46c-440e-b6e2-51bf35bcbf43/hive-hcatalog-core.jar. Failing because I am unlikely to write too.
   at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:507)
   at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:680)
   at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:624)
   at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
   at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
   at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
   at java.lang.reflect.Method.invoke(Method.java:606)
   at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
   at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.io.IOException: Previous writer likely failed to write hdfs://sandbox.hortonworks.com:8020/tmp/hive/hive/_tez_session_dir/cfcd5d27-c46c-440e-b6e2-51bf35bcbf43/hive-hcatalog-core.jar. Failing because I am unlikely to write too.
   at org.apache.hadoop.hive.ql.exec.tez.DagUtils.localizeResource(DagUtils.java:982)
   at org.apache.hadoop.hive.ql.exec.tez.DagUtils.addTempResources(DagUtils.java:862)
   at org.apache.hadoop.hive.ql.exec.tez.DagUtils.localizeTempFilesFromConf(DagUtils.java:805)
   at org.apache.hadoop.hive.ql.exec.tez.TezSessionState.refreshLocalResourcesFromConf(TezSessionState.java:233)
   at org.apache.hadoop.hive.ql.exec.tez.TezSessionState.open(TezSessionState.java:158)
   at org.apache.hadoop.hive.ql.exec.tez.TezSessionState.open(TezSessionState.java:117)
   at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:504)
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[root@sandbox ~]# klist
Ticket cache: FILE:/tmp/krb5cc_0
Default principal: hive/sandbox.hortonworks.com@EXAMPLE.COM
Valid starting  Expires  Service principal
11/30/16 02:03:26  12/01/16 02:03:26  krbtgt/EXAMPLE.COM@EXAMPLE.COM
   renew until 11/30/16 02:03:26 
						
					
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			Apache Hive
 
			
    
	
		
		
		11-29-2016
	
		
		05:39 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @dbains, in the original cluster, i'm using Ranger for authorization. 
						
					
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		11-29-2016
	
		
		12:54 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @dbains, @Ayub Khan- i seem to have fixed this issue for now ..  I've created another cluster, and repeated the steps for kerberization .. and am able to publish/consume messages to kafka topics. I'll update if i'm able to fix the above error in the original cluster.  But first, i need to be able to create/limit access to users kafka1, kafka2 to specific kafka topics. 
						
					
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