45 lines
		
	
	
	
		
			2 KiB
			
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			45 lines
		
	
	
	
		
			2 KiB
			
		
	
	
	
		
			Markdown
		
	
	
	
	
	
Kickstarter is over. Yay!
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Today I worked on the bug where `git annex watch` turned regular files
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that were already checked into git into symlinks. So I made it check
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if a file is already in git before trying to add it to the annex.
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The tricky part was doing this check quickly. Unless I want to write my
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own git index parser (or use one from Hackage), this check requires running
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`git ls-files`, once per file to be added. That won't fly if a huge
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tree of files is being moved or unpacked into the watched directory.
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Instead, I made it only do the check during `git annex watch`'s initial
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scan of the tree. This should be OK, because once it's running, you
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won't be adding new  files to git anyway, since it'll automatically annex
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new files. This is good enough for now, but there are at least two problems
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with it:
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* Someone might `git merge` in a branch that has some regular files,
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  and it would add the merged in files to the annex.
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* Once `git annex watch` is running, if you modify a file that was
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  checked into git as a regular file, the new version will be added
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  to the annex.
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I'll probably come back to this issue, and may well find myself directly
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querying git's index.
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---
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I've started work to fix the memory leak I see when running `git annex
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watch` in a large repository (40 thousand files). As always with a Haskell
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memory leak, I crack open [Real World Haskell's chapter on profiling](http://book.realworldhaskell.org/read/profiling-and-optimization.html).
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Eventually this yields a nice graph of the problem:
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[[!img profile.png alt="memory profile"]]
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So, looks like a few minor memory leaks, and one huge leak. Stared
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at this for a while and trying a few things, and got a much better result:
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[[!img profile2.png alt="memory profile"]]
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I may come back later and try to improve this further, but it's not bad memory
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usage. But, it's still rather slow to start up in such a large repository,
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and its initial scan is still doing too much work. I need to optimize
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more..
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