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| Title | Views | Posted | 
|---|---|---|
| 1844 | 10-11-2018 01:38 AM | |
| 2208 | 09-26-2018 02:24 AM | |
| 2232 | 06-29-2018 02:35 PM | |
| 2906 | 06-29-2018 02:34 PM | |
| 6076 | 06-20-2018 04:30 PM | 
			
    
	
		
		
		10-01-2018
	
		
		11:54 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 i can map a hive table to elasticsearch by specifying a elasticsearch storage handler , but can i map an elasticsearch index to an existing hive table?  can that table be ORC, partitioned n bucketed ?  any examples would do 
						
					
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		09-30-2018
	
		
		04:00 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I know how to create these UDFs from command prompt but how do I create these functions from ambari view?   is there any document example explaining this ?       
						
					
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			Apache Hive
			
    
	
		
		
		09-26-2018
	
		
		02:24 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I could resolve this issue by modifying the following parameters    yarn.scheduler.minimum-allocation-mb=2560
 yarn.nodemanager.resource.memory-mb=7680
 yarn.app.mapreduce.am.resource.mb=2560
 
						
					
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		09-25-2018
	
		
		07:58 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 if i insert a row from hive command line in unix it starts a TEZ job and runs fine and inserts a row, but the same insert if i try to do from hive view in Ambari,  it hangs. The SELECT queries work fine in hive view .  plz see the attached screenshots              
						
					
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		09-25-2018
	
		
		02:31 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 you were absolutely right .. . it was the proxy settings causing .  I removed the proxy settings from ambari-server and bounced it and all views working now .  I tried to append the  -Dhttp.nonProxyHosts=hadoop1|hadoop2|hadoop3  to the proxy settings of ambari \but it didn't like it ..  can you give me right syntax please ? 
						
					
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		09-25-2018
	
		
		01:45 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 yes i am behind proxy but only for outgoing calls , hive  view should not try to go outside my cluster right?     Ambari is elready enabled for proxy and working fine.  All the modules like hive, hbase, curl, yum,  etc etc working fine so why would i have just issue with ambari views?  none of them work .  
						
					
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		09-24-2018
	
		
		06:12 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Ambari server log showing the following:  24 Sep 2018 17:35:20,856 ERROR [ambari-client-thread-199385] WebHdfsFileSystem:402 - Unable to get HomeDirectory from original File System
java.io.IOException: hadoop1.tolls.dot.state.fl.us:50070: Unexpected HTTP response: code=504 != 200, op=GETHOMEDIRECTORY, message=Gateway Timeout
  if i press the back arrow button it does show me the hive command window but if i give any command there i get this error :     
						
					
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		09-24-2018
	
		
		05:24 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I am trying to setup HIVE view for ambari users but its not working its not giving any specific error also but this is what i see . I am not using Kerberos. I have the /user/admin directory and proxy parameters set.  $ hdfs dfs -ls /user/Found 13 items
drwxr-xr-x  - admin  hadoop  0 2018-08-20 17:27 /user/admin  hadoop.proxyuser.root.groups=*hadoop.proxyuser.root.hosts=*  Issues detected  Service 'userhome' check failed: hadoop1.tolls.dot.state.fl.us:50070: Unexpected HTTP response: code=504 != 200, op=GETFILESTATUS, message=Gateway Timeout     
						
					
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		09-23-2018
	
		
		02:49 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I just noted there is a small note on top saying   "          Note    This procedure requires change data capture from the operational database that has a primary key and modified date field where you pulled the         records from since the last update.      we don't have CDC on our database so we cant do incremental imports?  it should be possible by looking at the date field as that's constantly increasing ?  
						
					
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