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		#16 | 
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			 creator of calibre 
			
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			With that test, I get 
		
	
		
		
		
		
		
		
		
		
		
		
	
	Code: 
	RSS Number of books 41.1 0 41.6 23 41.8 86 44.4 422 RSS - 0 size (MB) Number of books Size per book 0.5 23 22.3 KB 0.7 86 8.3 KB 3.3 422 8.0 KB (production library)  | 
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		#17 | 
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			 Grand Sorcerer 
			
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			The numbers I see are somewhat consistent with yours. They are smaller, but I think that is because I am not counting python. 
		
	
		
		
		
		
		
		
		
		
		
		
	
	Code: 
	
MB
47.8     0 books 
48.1    22 books 14.1KB/book
58.0   980 books 10.3KB/book (many cust cols, almost no data)
49.9  1400 books  1.5KB/book (few cust cols, lots of data, production)
54.5  4995 books  4.8KB/book (more cust cols, replicated books)
Of course, this shows that the GUI accounts for a lot of the memory use. No real surprise, that.  | 
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		#18 | 
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			 creator of calibre 
			
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			If you have the time, try copying all custom column data into the comments field (at least the string variety) and deleting the cust cols.  
		
	
		
		
		
		
		
		
		
		
		
		
	
	I really don't see why cust cols should have a greater overhead than normal cols.  | 
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		#19 | ||
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			 Grand Sorcerer 
			
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		 Quote: 
	
 Numbers for the same library, as it was + with most cust cols removed + with all cust cols removed. Code: 
	MB
58.0   980 books 10.3KB/book (many cust cols, almost no data)
52.7   980 books  5.0KB/book (one text/mult cust col, same 5 tags each)
50.1   980 books  2.4KB/book (no cust cols)
Quote: 
	
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		#20 | 
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			 Wizard 
			
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			I have a library of around 10,000 books with an average of about 4 formats per book.   Nearly all books have comments attached.   Even on this library Calibre never seems to use more than about 250MB of RAM which is nothing to most modern machines.  I am running Windows 7 Pro.  I am very sceptical that total RAM is therefore much of a limit on performance.
		 
		
	
		
		
		
		
		
		
		
		
		
		
	
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		#21 | 
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			 creator of calibre 
			
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			Just for completeness, here are my figures with measuring only heap size, which means that the size of python etc. are not included 
		
	
		
		
		
		
		
		
		
		
		
		
		
			Code: 
	
Heap (KB)    Number of books
35604           0
36054           23
36388           85
38948           422
Heap - 0 size (KB)   Number of books    Size per book
450                   23                  19.57 KB
784                   85                  9.2  KB
3344                  422                 7.9  KB (production library)
  You are on a 64 bit machine, right?EDIT: Oops, I meant I have a lot more metadata per book than you do Last edited by kovidgoyal; 11-03-2010 at 03:12 PM.  | 
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		#22 | 
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			 Grand Sorcerer 
			
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			The real question becomes 'do people who have performance problems have "modern machines"'? 
		
	
		
		
		
		
		
		
		
		
		
		
	
	Calibre total memory consumption for my production library of 1,400 books on Win7Pro is 280mb, of which some 140mb seems to vary with the db size. Even assuming minimum scaling up, a 35,000 book library (the OP's library size) would at least triple the variable size (probably more), taking total consumption to at least some 550MB. With those numbers, if he has a 1GB machine (these are still common), and especially if he is running other apps like mail, calibre will thrash. On a 2GB system, it likely will not.  | 
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		#23 | 
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		#24 | 
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			 creator of calibre 
			
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		#25 | 
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			 creator of calibre 
			
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			Hmm itimpi's 10k library uses 250MB and chaley's 1k library uses 280MB and both on W7??
		 
		
	
		
		
		
		
		
		
		
		
		
		
	
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		#26 | 
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			 Grand Sorcerer 
			
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		#27 | 
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			 Wizard 
			
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			I feel your pain, I had a pandigital novel before it got stollen from my home and it had probably a 3 minute boot time.
		 
		
	
		
		
		
		
		
		
		
		
		
		
	
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		#28 | 
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			 Wizard 
			
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			FWIW: 
		
	
		
		
		
		
		
		
		
		
		
		
	
	53 MB, 336 Books. System is Win XP 32, 1 GB RAM Because there's no such thing as too much data.  | 
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		#29 | 
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			 Well trained by Cats 
			
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			1225 books Win XP SP3 1.5G RAM 
		
	
		
		
		
		
		
		
		
		
		
		
	
	Process manager says 282M Virt. Size, 101M working set  | 
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