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| Title | Views | Posted | 
|---|---|---|
| 8290 | 12-02-2016 05:54 PM | |
| 1456 | 07-22-2016 04:12 PM | |
| 2198 | 04-22-2016 04:28 PM | |
| 34366 | 04-22-2016 07:58 AM | |
| 8960 | 10-08-2015 10:32 PM | 
			
    
	
		
		
		12-16-2016
	
		
		12:56 AM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Hi Cristian, the amount of memory that yarn can allocate is controlled by the setting "Memory allocated for all YARN containers on a node" under YARN. Set this to 3 GB, and that should give enough room for Tez to run (it needs 2.5 GB if you follow the settings above.).  
						
					
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		12-06-2016
	
		
		04:55 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 Since you are in a sandbox, you need to reduce the amount of memory taken by each component so that they can fit (try running with 12 GB if you can). Reduce the memory footprint as follows:   Tez container size = 1024 MB  Map join, per Map memory = 256 MB  Metastore heap = 512 MB  Client heap = 512 MB  Tez Client->tez.am.resource.memory.mb = 512   YARN will need to fit at least one Tez AM (512 MB) and a couple Tez containers (512MB *2). You can check how much memory is allocated to YARN on the YARN config page "Memory allocated for all YARN containers on a node". 
						
					
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		12-06-2016
	
		
		04:41 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 @Pooja Sahu In the source file, the original '\001' character code has been replaced with the string representation "^A". One way to process the file is to convert it back to \001:  CREATE EXTERNAL TABLE fix_raw (line string)
ROW FORMAT DELIMITED
LOCATION '/user/pooja/fix/';
CREATE TABLE fix_map (tag MAP<STRING, STRING>) 
STORED AS ORC;
INSERT INTO TABLE fix_map 
SELECT  str_to_map( replace(line, '^A', '\001'), '\001', '=') tag from fix_raw;
-- query
SELECT tag[49] FROM fix_map;  
 
						
					
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		12-02-2016
	
		
		05:54 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 The Tez job has not started: both the mapper and the reducer are in "pending" state and haven't yet been launched. Once launched they would enter "running" state.  Check yarn to ensure there is enough room in your queue to fit the containers (http://sandbox:8088). There isn't much ram in a sandbox, and it could all be taken up by a Spark instance or by the Tez instances of hiveserver2. 
						
					
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		08-16-2016
	
		
		06:56 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 In the second scenario, is it possible to copy the raw encrypted files from the first to the second cluster ?  
						
					
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		07-22-2016
	
		
		04:12 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 The Hadoop Group can be changed with the following command:  /var/lib/ambari-server/resources/scripts/configs.sh \
-u admin -p admin set localhost cluster_name cluster-env user_group new_group  This assumes it is running from the Ambari host with the default credentials. Replace cluster_name with the name of the cluster.  Details here: https://cwiki.apache.org/confluence/display/AMBARI/Update+Service-Accounts+After+Install 
						
					
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		07-21-2016
	
		
		01:36 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 We can set the "Hadoop Group" during installation by using the customize services => Misc tab. How to change it post-install ? 
						
					
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			Apache Ambari
			
    
	
		
		
		05-17-2016
	
		
		11:22 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Can you point me to instructions on how to build a cloudbreak virtual machine image from a custom base image ? This would be for an openstack deployment. 
						
					
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			Hortonworks Cloudbreak
			
    
	
		
		
		04-26-2016
	
		
		10:56 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 The CREATE EXTERNAL TABLE statement must match the format on disk. If the files are in a self-describing format like parquet, you should not need to specify any table properties to read them (remove the TBLPROPERTIES line). If you want to convert to a new format, including a different compression algorithm, you will need to create a new table. 
						
					
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