"I will be continuing to commit bits and pieces of HAMMER, but note that it will probably not even begin to work for quite some time," Matthew Dillon reported on the new clustering filesystem he's developing for DragonFlyBSD. He noted, "I am still on track for it to make it into the end-of-year release." Matt continued:
"My B-Tree implementation also allows HAMMER to cache B-Tree nodes and start lookups from any internal node rather then having to start at the root. You can do this in a standard B-Tree too but it isn't necessarily efficient for certain boundary cases. In my implementation I store boundaries for the left AND right side which means a search starting in the middle of the tree knows exactly where to go and will never have to retrace its steps."
From: Matthew Dillon
Subject: HAMMER Update
Date: Nov 1, 2:05 pm 2007
I will be continuing to commit bits and pieces of HAMMER, but note
that it will probably not even begin to work for quite some time.
I am still on track for it to make it into the end-of-year release.
Mostly I just needed to clear my plate (my source working set) to keep
track of the various major segments of the work without going completely
batty.
Only the A-list code is reasonably well tested so far, because
newfs_hammer uses the same code. The B-Tree code cannot be tested until
I get more of the VFS infrastructure in place. I expect that to be
fairly straight-forward since I will be able to do a lot of testing
with a one-cluster filesystem (i.e. without the B-Tree cluster
extension coded).
The most difficult piece in the entire design is the B-Tree deletion code
and that is now coded. I decided to go with a forward-iteration for both
insertions AND deletions, which is THE most difficult B-Tree algorithm to
implement. But the huge advantage is that I will be able to remove
the cluster lock in the future and lock B-Tree nodes as I go down without
getting into deadlock situations, which is very SMP friendly.
My B-Tree implementation also allows HAMMER to cache B-Tree nodes
and start lookups from any internal node rather then having to start at
the root. You can do this in a standard B-Tree too but it isn't
necessarily efficient for certain boundary cases. In my implementation
I store boundaries for the left AND right side which means a search
starting in the middle of the tree knows exactly where to go and will
never have to retrace its steps.
Whew.
-Matt
Matthew Dillon
<dillon@backplane.com>
Sledge Hammer?
I like the idea that the name could have a connection with http://www.google.co.nz/search?q=sledge+hammer+rasche