Thread (10 messages) flat view 10 messages, 6 authors, 2016-06-15

Re: [GSoC] Designing a faster index format

From: Nguyen Thai Ngoc Duy <hidden>
Date: 2016-06-15 22:53:25

On Fri, Mar 30, 2012 at 4:06 AM, Junio C Hamano [off-list ref] wrote:
Is it really the time consuming part in the overall picture?  Do you have
vital statistics for various pieces to justify that you are solving the
right problem?  E.g. (not exhaustive)

 - read_index(): overhead to
  - validate the checksum of the whole index;
  - extract entries into the_index.cache[] array;

 - write_index(): overhead to
  - serialize entries into the on-disk format;
  - compute the checksum over the entire index;
  - write the whole index to disk;

 - frequency of the above two operations.
Also maybe the frequency of entry updates vs additions/removals. I
suspect refresh operation in some case can update a lot of entries. If
that's the case (and happens often), we may need special treatment for
it because simply appending entries might be costly.
Also, optimizing the write codepath by penalizing the read codepath is a
wrong trade-off if the index is read far more often than it is written
during a single day of a developer.
I suspect so too, but some measurement has to be done there. It'd be
good if you provide a patch to collect index operation statistics.
Some of us can try it on for a few weeks. That would give us a better
picture.

On Thu, Mar 29, 2012 at 10:21 PM, Thomas Gummerer [off-list ref] wrote:
- Tree structure
The advantage of the tree structure over the append-only data structure that was
proposed would be that it would not require any merge or other maintainance work
work after a change of a file. The disadvantage however is that changing a file
would always require log(n) changes to the index, where n is the number of
entries in the index. Another problem might be the integrity check, which would
need either to use a hash over the whole index file or a hash on the tree,
which would however take more time for checking.
I'd say it takes less time for checksuming because we only verify the
trees we read. And tree-based structure allows us to read just a
subdirectory, an advantage for multi-project repositories where people
stay in a subdir most of the time. Shawn suspected crc32 checksum over
a large chunk of data may be insufficient. By hashing tree by tree,
the chunks are significantly shorter, making crc32 viable and cheap
candidate compared to sha-1 (also note that crc32 is used to verify
compressed objects in a pack)
-- 
Duy
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