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		02-21-2016
	
	
	
	
	
	
	
	
	
	
	
	
	
	
			
      
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| Title | Views | Posted | 
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| 2484 | 08-24-2016 09:30 PM | |
| 10062 | 08-22-2016 06:13 AM | |
| 2503 | 08-10-2016 09:45 AM | |
| 2560 | 07-29-2016 05:14 PM | 
			
    
	
		
		
		04-16-2021
	
		
		06:39 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I am also getting the same issue and restarted zookeeper and then region server and then hbase master but issue didn't resolve.  Even I have deleted hbase znode but still issue is there.        Regards,  Satya 
						
					
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		02-28-2017
	
		
		02:53 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Excellent write up Victor, this definitely helps  
						
					
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		05-17-2016
	
		
		01:06 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		5 Kudos
		
	
				
		
	
		
					
							 QUESTION:  How are the Ambari-2.2.1.1 local accounts protected, such as "admin"? What about all the various component's configuration data managed by Ambari-2.2.1.1?  ANSWER:  Ambari local account credentials   These are stored in the Ambari database as the SHA256 hash of the (randomly salted) password.   Service configuration password properties   These are stored in the Ambari database in blobs of JSON-formatted data in plaintext.  When returned via API calls, the properties marked as passwords are masked and not displayed as plaintext.  When sent to the agents, they are stored in plaintext in the command.json files stored in /var/lib/ambari-agent/data (readable only by root and the user that executes ambari-agent).   Ambari-specific database and ldap credentials   These are stored in plaintext in the ambari.properities file by default but can be encrypted via ambari-server setup-security.  If encrypted, they are stored in a Java Keystore implementation (JCEKS) which uses 3DES in CBC mode with PKCS #5 padding to encrypt its keys. The master key for this keystore is either stored in plaintext on the Ambari server host, or query for when Ambari is started.  
						
					
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		09-04-2018
	
		
		03:22 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Hi, this Looks like fifo-scheduling / capacity scheduling with 1 group only  Try to switch to fair scheduling in yarn.  Regards,  Volker 
						
					
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		04-05-2016
	
		
		12:14 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Thanks for the input guys. I increased RS heap to 16GB and increased handler count to 200. Also we performed manual major compaction on few HBase tables majorly used by customer. After that HBase read performance dropped to acceptable limits. 
						
					
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