revision: implement sparse algorithm

revision: implement sparse algorithm

When enumerating objects to place in a pack-file during 'git
pack-objects --revs', we discover the "frontier" of commits
that we care about and the boundary with commit we find
uninteresting. From that point, we walk trees to discover which
trees and blobs are uninteresting. Finally, we walk trees from the
interesting commits to find the interesting objects that are
placed in the pack.

This commit introduces a new, "sparse" way to discover the
uninteresting trees. We use the perspective of a single user trying
to push their topic to a large repository. That user likely changed
a very small fraction of the paths in their working directory, but
we spend a lot of time walking all reachable trees.

The way to switch the logic to work in this sparse way is to start
caring about which paths introduce new trees. While it is not
possible to generate a diff between the frontier boundary and all
of the interesting commits, we can simulate that behavior by
inspecting all of the root trees as a whole, then recursing down
to the set of trees at each path.

We already had taken the first step by passing an oidset to
mark_trees_uninteresting_sparse(). We now create a dictionary
whose keys are paths and values are oidsets. We consider the set
of trees that appear at each path. While we inspect a tree, we
add its subtrees to the oidsets corresponding to the tree entry's
path. We also mark trees as UNINTERESTING if the tree we are
parsing is UNINTERESTING.

To actually improve the performance, we need to terminate our
recursion. If the oidset contains only UNINTERESTING trees, then
we do not continue the recursion. This avoids walking trees that
are likely to not be reachable from interesting trees. If the
oidset contains only interesting trees, then we will walk these
trees in the final stage that collects the intersting objects to
place in the pack. Thus, we only recurse if the oidset contains
both interesting and UNINITERESTING trees.

There are a few ways that this is not a universally better option.

First, we can pack extra objects. If someone copies a subtree
from one tree to another, the first tree will appear UNINTERESTING
and we will not recurse to see that the subtree should also be
UNINTERESTING. We will walk the new tree and see the subtree as
a "new" object and add it to the pack. A test is modified to
demonstrate this behavior and to verify that the new logic is
being exercised.

Second, we can have extra memory pressure. If instead of being a
single user pushing a small topic we are a server sending new
objects from across the entire working directory, then we will
gain very little (the recursion will rarely terminate early) but
will spend extra time maintaining the path-oidset dictionaries.

Despite these potential drawbacks, the benefits of the algorithm
are clear. By adding a counter to 'add_children_by_path' and
'mark_tree_contents_uninteresting', I measured the number of
parsed trees for the two algorithms in a variety of repos.

For git.git, I used the following input:

	v2.19.0
	^v2.19.0~10

 Objects to pack: 550
Walked (old alg): 282
Walked (new alg): 130

For the Linux repo, I used the following input:

	v4.18
	^v4.18~10

 Objects to pack:   518
Walked (old alg): 4,836
Walked (new alg):   188

The two repos above are rather "wide and flat" compared to
other repos that I have used in the past. As a comparison,
I tested an old topic branch in the Azure DevOps repo, which
has a much deeper folder structure than the Linux repo.

 Objects to pack:    220
Walked (old alg): 22,804
Walked (new alg):    129

I used the number of walked trees the main metric above because
it is consistent across multiple runs. When I ran my tests, the
performance of the pack-objects command with the same options
could change the end-to-end time by 10x depending on the file
system being warm. However, by repeating the same test on repeat
I could get more consistent timing results. The git.git and
Linux tests were too fast overall (less than 0.5s) to measure
an end-to-end difference. The Azure DevOps case was slow enough
to see the time improve from 15s to 1s in the warm case. The
cold case was 90s to 9s in my testing.

These improvements will have even larger benefits in the super-
large Windows repository. In our experiments, we see the
"Enumerate objects" phase of pack-objects taking 60-80% of the
end-to-end time of non-trivial pushes, taking longer than the
network time to send the pack and the server time to verify the
pack.

Signed-off-by: Derrick Stolee <dstolee@microsoft.com>
Signed-off-by: Junio C Hamano <gitster@pobox.com>