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| Title | Views | Posted | 
|---|---|---|
| 4692 | 11-06-2016 02:18 PM | |
| 5549 | 04-18-2016 10:54 AM | |
| 2500 | 03-31-2016 11:46 AM | 
			
    
	
		
		
		05-09-2016
	
		
		09:00 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Thanks @Kuldeep Kulkarni , @Sagar Shimpi  LDAP users synched, however:   LDAP user not able to login using Ranger UI (Invalid credentials error-"The username or password you entered is incorrect..")  LDAP users' group not synched/empty in Ranger UI  
						
					
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		05-06-2016
	
		
		12:01 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 The steps for Ranger configuration (cn=Manager,dc=hortonworks,dc=com etc.) vs LDAP structure (cn=ldapusers,ou=Groups,dc=example,dc=com etc) are not in sync at https://community.hortonworks.com/articles/16696/ranger-ldap-integration.html  Since I don't have much experience on LDAP, is their any reliable step-by-step I can use to quickly get upto speed with Ranger/LDAP integration? 
						
					
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			Apache Ranger
			
    
	
		
		
		05-03-2016
	
		
		09:32 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @pnagwekar   So far, Falcon seems a great tool for Data governance and lineage.  What I liked-  Creating Falcon workflows around existing and new custom functionality 
( e.g. I was successfully able to call an external  Dell Boomi process from inside a Falcon process as a system integration POC)  Scope for Improvement-   Falcon UI responsiveness. Hope its more fluidic, intuitive and responsive in next release (July 2016?)   Tighter integration with Atlas. Didn't find many documents around this functionality/(Roadmap?)  Feed lineage was missing (seems its a UI issue to be fixed in next release)  
						
					
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		04-18-2016
	
		
		10:54 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		2 Kudos
		
	
				
		
	
		
					
							 Here's how I resolved the issue:  RM log was showing some issue related to ZK  :2016-04-18 05:20:57,275 INFO  recovery.ZKRMStateStore (ZKRMStateStore.java:runWithRetries(1214)) - Retrying operation on ZK. Retry no. 195
2016-04-18 05:20:57,454 INFO  zookeeper.ClientCnxn (ClientCnxn.java:logStartConnect(1019)) - Opening socket connection to server ZK_HOST/10.131.$
2016-04-18 05:20:57,455 WARN  zookeeper.ClientCnxn (ClientCnxn.java:run(1146)) - Session 0x0 for server null, unexpected error, closing socket connection and attemptin$
java.net.ConnectException: Connection refused
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
        at org.apache.zookeeper.ClientCnxnSocketNIO.doTransport(ClientCnxnSocketNIO.java:361)
        at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:1125)  Also noticed ZK kept getting stopped. ZK logs: java.io.FileNotFoundException: /hadoop/zookeeper/version-2/log. (Permission denied)  So did chmod a+rwx -R /hadoop/zookeeper andd then restarted ZK and RM services.  After that was able to successfully start Hive CLI.  Thanks @Kuldeep Kulkarni @Laurent Edel 
						
					
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		04-13-2016
	
		
		10:53 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		2 Kudos
		
	
				
		
	
		
					
							 Since HiveUI is not working through Ambari, on troubleshooting through "hive -hiveconf
hive.root.logger=DEBUG,console",   16/04/13 06:44:37 [IPC
Client (1720891078) connection to RM_FQDN /RM_IP:8020 from root]: DEBUG
ipc.Client: IPC Client (1720891078) connection to RM_FQDN/RM_IP:8020 from root
got value #32  16/04/13 06:44:37
[main]: DEBUG ipc.ProtobufRpcEngine: Call: getFileInfo took 1ms  16/04/13 06:44:37
[main]: DEBUG ipc.Client: The ping interval is 60000 ms.  16/04/13 06:44:37
[main]: DEBUG ipc.Client: Connecting to RM_FQDN/RM_IP:8050  16/04/13 06:44:38
[main]: INFO ipc.Client: Retrying connect to server: RM_FQDN/RM_IP:8050. Already tried 0 time(s); retry
policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=50, sleepTime=1000
MILLISECONDS)  16/04/13 06:44:39
[main]: INFO ipc.Client: Retrying connect to server: RM_FQDN/RM_IP:8050. Already tried 1 time(s); retry
policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=50, sleepTime=1000
MILLISECONDS)  Also ResourceManager UI giving "ERR_CONNECTION_REFUSED"  Seems even when RM is already started through Ambari, it cannot be accessed/connected through client or UI. 
						
					
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			Apache Hive
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			Cloudera Manager
			
    
	
		
		
		04-13-2016
	
		
		06:37 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I too am facing this issue frequently both on HDP 2.3 as well as 2.4 cluster setups.
As @R Wys mentioned, above suggested steps not working.  @Neeraj Sabharwal any suggestions, workarounds would be highly appreciated.  Ambari Version: 2.2.1.1  Thanks
Amit 
						
					
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		04-01-2016
	
		
		07:11 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							 I am not able to see lineage for a feed (though the lineage for a process is visible)  Screenshot of the feed with lineage invisible (feed.png) and process with lineage visible (process.png) attached.  Have followed the tutorial-   http://hortonworks.com/hadoop-tutorial/defining-processing-data-end-end-data-pipeline-apache-falcon/#run-the-processes       
						
					
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			Apache Falcon
			
    
	
		
		
		03-31-2016
	
		
		11:46 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							 Problem resolved.  The problem was that when I started the HDP sandbox today, somehow the namenode started in safemode (I really cant imagine why specially on a sandbox, but anyways...)  After removing the namenode from safemode, was able to remove the successfully entities. 
						
					
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		03-31-2016
	
		
		11:22 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @jramakrishnan   ./falcon entity -type process -list   2   (PROCESS) cleanseEmailProcess  
(PROCESS) rawEmailIngestProcess  ./falcon entity -type process -name rawEmailIngestProcess -list   
2   (PROCESS) cleanseEmailProcess  
(PROCESS) rawEmailIngestProcess 
						
					
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