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		11-01-2016
	
	
	
	
	
	
	
	
	
	
	
	
	
	
			
      
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		01-16-2017
	
		
		10:24 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 I was informed by support that the companion files for 2.5.0 are still relevant and can be used in their place until documentation is corrected:  http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.5.0/bk_command-line-installation/content/download-companion-files.html 
						
					
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		12-13-2016
	
		
		08:48 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Is there an updated reference architecture document for HDF 2.1; similar to this:  https://docs.hortonworks.com/HDPDocuments/HDF1/HDF-1.2/bk_HDF_InstallSetup/content/hdf_isg_hardware.html  I cannot locate a similar reference in the newer documentation tree:  http://docs.hortonworks.com/HDPDocuments/HDF2/HDF-2.1.0/index.html  Thank you in advance! 
						
					
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			Apache NiFi
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			Cloudera DataFlow (CDF)
 
			
    
	
		
		
		12-12-2016
	
		
		10:23 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 There is a similar reference architecture document for HDF 2.1:  http://docs.hortonworks.com/HDPDocuments/HDF2/HDF-2.1.0/bk_dataflow-command-line-installation/content/hdf_isg_hardware.html  Does not appear any hardware recommendations were changed. 
						
					
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		11-30-2016
	
		
		11:00 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
				
		
	
		
					
							 When we retrieve a report from Smartsense, I find myself manipulating the reports into a more format more usable to organize, prioritize and operationally execute changes.   In the future, can we expect to see either of these features?  Export recommendations to CSV in the support tools dashboard.  An API that I can interact with to retrieve recommendations once a bundle has been process. 
						
					
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			Hortonworks SmartSense
 
			
    
	
		
		
		03-11-2016
	
		
		08:07 PM
	
	
	
	
	
	
	
	
	
	
	
	
	
	
		
	
				
		
			
					
	
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							 Hello,  I am looking for a recommendation on swap usage in an HDP cluster.  We currently disable swap in our deployments to save Hadoop JVM performance from being impacted by the potential use.  The logic is based on the thought that it is better to kill a process that is out of memory and have it be rescheduled than allow the performance impact.   This is the current documentation available from Hortonworks regarding partitioning.  http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.4.0/bk_cluster-planning-guide/content/ch_partitioning_chapter.html  Can you please provide some clarity on this?  Thank you,  David 
						
					
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