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		09-16-2021
	
	
	
	
	
	
	
	
	
	
	
	
	
	
			
      
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        My Accepted Solutions
| Title | Views | Posted | 
|---|---|---|
| 237 | 10-22-2025 05:48 AM | |
| 319 | 09-05-2025 07:19 AM | |
| 805 | 07-15-2025 02:22 AM | |
| 1353 | 06-02-2025 06:55 AM | |
| 1628 | 05-22-2025 03:00 AM | 
			
    
	
		
		
		02-05-2025
	
		
		12:48 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 If the environment allows , use SSSD with LDAP integration to avoid manually creating Users.   If that's not possible , use Ansible to automate user creation across all nodes.  
						
					
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		02-04-2025
	
		
		06:35 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Check beeline console output and HS2 logs to identify where it gets stuck and act accordingly.  
						
					
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		02-04-2025
	
		
		06:33 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Use CAST to convert to TIMESTAMP type.     SELECT CAST('2024-11-05 10:03:17.872195' AS TIMESTAMP) AS timestamp_value;    We can also try TIMESTAMP WITH LOCAL TIME ZONE, This helps retain precision when dealing with timezones.    SELECT CAST('2024-11-05 10:03:17.872195' AS TIMESTAMP WITH LOCAL TIME ZONE);             
						
					
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		12-05-2024
	
		
		09:40 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							 @JSavy Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future. Thanks. 
						
					
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		11-29-2024
	
		
		06:51 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 many thanks  ! 
						
					
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		11-22-2024
	
		
		05:29 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							  The job failed with an OutOfMemoryError (OOME) at the child task attempt level, as indicated by the stacktrace.  It was observed that certain mapreduce properties have been set, which may potentially overwrite the hive.tez.container.size property.      SET mapreduce.map.java.opts=-Xmx3686m;
SET mapreduce.reduce.java.opts=-Xmx3686m;
SET mapred.child.java.opts=-Xmx10g;            It is recommended to validate the yarn appLogs to confirm if the child task attempts were launched with 80% of the hive.tez.container.size. If not, it is advised to remove the mapreduce configurations and try re-running the job.  Before re-running the query, it is suggested to collect statistics for all the source tables. This will assist the optimizer in creating a better execution plan.  
						
					
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		11-22-2024
	
		
		04:56 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							 If you suspect that TEZ-4032 is the cause, consider upgrading your cluster to CDP 7 and testing it again, as it has been backported in CDP 7. 
						
					
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		11-21-2024
	
		
		10:14 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Ideally below should work.       use default;show tables;  Please check HiveServer2, HMS logs and share the stack-trace.  To identify the RootCause.  
						
					
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		11-20-2024
	
		
		11:29 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
		1 Kudo
		
	
				
		
	
		
					
							 @yangdkny, Did the response help resolve your query? If it did, kindly mark the relevant reply as the solution, as it will aid others in locating the answer more easily in the future.  
						
					
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		11-17-2024
	
		
		09:22 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Bhavs, Did the response help resolve your query? If it did, kindly mark the relevant reply as the solution, as it will aid others in locating the answer more easily in the future.  
						
					
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