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| Title | Views | Posted | 
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| 3560 | 12-26-2018 08:07 PM | |
| 3541 | 08-17-2018 06:12 PM | |
| 1824 | 08-09-2018 08:35 PM | |
| 14617 | 01-03-2018 12:31 AM | |
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		06-05-2016
	
		
		03:36 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Try looking at your metastore log file for any errors from ql.Initiator or ql.Worker.   
						
					
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		05-19-2016
	
		
		06:09 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 it should be insert into table test32 partition(dt=3) (id) select * from test31; 
						
					
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		05-18-2016
	
		
		06:29 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Does https://issues.apache.org/jira/browse/HIVE-9481 help? 
						
					
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		05-13-2016
	
		
		07:09 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 https://issues.apache.org/jira/browse/HIVE-12634 will help here 
						
					
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		05-12-2016
	
		
		06:24 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Hive Acid tables are not integrated with Spark.    To write to an Acid table in a streaming fashion you could use https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions#HiveTransactions-StreamingAPIs  (hdfs dfs -ls -R output shows the table to not be in expected format for Acid table.  You can check metastore log for errors regarding compaction, but I would not expect it to work) 
						
					
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		05-12-2016
	
		
		06:22 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Here is the detailed doc https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions 
						
					
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		02-24-2016
	
		
		12:25 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 try "set hive.txn.manager" and see what it prints.  This is "sticky" setting so set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager won't always take effect.  It's more reliable to set it in hive-site.xml 
						
					
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		02-08-2016
	
		
		07:24 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 How often to run compaction is a function of how quickly you are generating delta files (see https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions#HiveTransactions-BasicDesignfor more info).   Less frequent compactions will make reads more expensive. Keep in mind that this system is designed for slowly changing data.  Updating 1 row out of 1 billion row table every second will not work well.  The cost of executing an SQL UPDATE statement that matches 1 row and 10K rows is roughly the same.    The other response regarding the state of this feature in Hive 0.14 is still valid. 
						
					
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		01-25-2016
	
		
		09:02 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 This not supported and there is no efficient way to do this.  This will be handled once support for MERGE statement is added 
						
					
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