tests/test-clone-uncompressed.t
author Gregory Szorc <gregory.szorc@gmail.com>
Thu, 13 Oct 2016 12:50:27 +0200
changeset 30155 b7a966ce89ed
parent 29064 9dc27a334fb1
child 31262 e7a35f18d91f
permissions -rw-r--r--
changelog: disable delta chains This patch disables delta chains on changelogs. After this patch, new entries on changelogs - including existing changelogs - will be stored as the fulltext of that data (likely compressed). No delta computation will be performed. An overview of delta chains and data justifying this change follows. Revlogs try to store entries as a delta against a previous entry (either a parent revision in the case of generaldelta or the previous physical revision when not using generaldelta). Most of the time this is the correct thing to do: it frequently results in less CPU usage and smaller storage. Delta chains are most effective when the base revision being deltad against is similar to the current data. This tends to occur naturally for manifests and file data, since only small parts of each tend to change with each revision. Changelogs, however, are a different story. Changelog entries represent changesets/commits. And unless commits in a repository are homogonous (same author, changing same files, similar commit messages, etc), a delta from one entry to the next tends to be relatively large compared to the size of the entry. This means that delta chains tend to be short. How short? Here is the full vs delta revision breakdown on some real world repos: Repo % Full % Delta Max Length hg 45.8 54.2 6 mozilla-central 42.4 57.6 8 mozilla-unified 42.5 57.5 17 pypy 46.1 53.9 6 python-zstandard 46.1 53.9 3 (I threw in python-zstandard as an example of a repo that is homogonous. It contains a small Python project with changes all from the same author.) Contrast this with the manifest revlog for these repos, where 99+% of revisions are deltas and delta chains run into the thousands. So delta chains aren't as useful on changelogs. But even a short delta chain may provide benefits. Let's measure that. Delta chains may require less CPU to read revisions if the CPU time spent reading smaller deltas is less than the CPU time used to decompress larger individual entries. We can measure this via `hg perfrevlog -c -d 1` to iterate a revlog to resolve each revision's fulltext. Here are the results of that command on a repo using delta chains in its changelog and on a repo without delta chains: hg (forward) ! wall 0.407008 comb 0.410000 user 0.410000 sys 0.000000 (best of 25) ! wall 0.390061 comb 0.390000 user 0.390000 sys 0.000000 (best of 26) hg (reverse) ! wall 0.515221 comb 0.520000 user 0.520000 sys 0.000000 (best of 19) ! wall 0.400018 comb 0.400000 user 0.390000 sys 0.010000 (best of 25) mozilla-central (forward) ! wall 4.508296 comb 4.490000 user 4.490000 sys 0.000000 (best of 3) ! wall 4.370222 comb 4.370000 user 4.350000 sys 0.020000 (best of 3) mozilla-central (reverse) ! wall 5.758995 comb 5.760000 user 5.720000 sys 0.040000 (best of 3) ! wall 4.346503 comb 4.340000 user 4.320000 sys 0.020000 (best of 3) mozilla-unified (forward) ! wall 4.957088 comb 4.950000 user 4.940000 sys 0.010000 (best of 3) ! wall 4.660528 comb 4.650000 user 4.630000 sys 0.020000 (best of 3) mozilla-unified (reverse) ! wall 6.119827 comb 6.110000 user 6.090000 sys 0.020000 (best of 3) ! wall 4.675136 comb 4.670000 user 4.670000 sys 0.000000 (best of 3) pypy (forward) ! wall 1.231122 comb 1.240000 user 1.230000 sys 0.010000 (best of 8) ! wall 1.164896 comb 1.160000 user 1.160000 sys 0.000000 (best of 9) pypy (reverse) ! wall 1.467049 comb 1.460000 user 1.460000 sys 0.000000 (best of 7) ! wall 1.160200 comb 1.170000 user 1.160000 sys 0.010000 (best of 9) The data clearly shows that it takes less wall and CPU time to resolve revisions when there are no delta chains in the changelogs, regardless of the direction of traversal. Furthermore, not using a delta chain means that fulltext resolution in reverse is as fast as iterating forward. So not using delta chains on the changelog is a clear CPU win for reading operations. An example of a user-visible operation showing this speed-up is revset evaluation. Here are results for `hg perfrevset 'author(gps) or author(mpm)'`: hg ! wall 1.655506 comb 1.660000 user 1.650000 sys 0.010000 (best of 6) ! wall 1.612723 comb 1.610000 user 1.600000 sys 0.010000 (best of 7) mozilla-central ! wall 17.629826 comb 17.640000 user 17.600000 sys 0.040000 (best of 3) ! wall 17.311033 comb 17.300000 user 17.260000 sys 0.040000 (best of 3) What about 00changelog.i size? Repo Delta Chains No Delta Chains hg 7,033,250 6,976,771 mozilla-central 82,978,748 81,574,623 mozilla-unified 88,112,349 86,702,162 pypy 20,740,699 20,659,741 The data shows that removing delta chains from the changelog makes the changelog smaller. Delta chains are also used during changegroup generation. This operation essentially converts a series of revisions to one large delta chain. And changegroup generation is smart: if the delta in the revlog matches what the changegroup is emitting, it will reuse the delta instead of recalculating it. We can measure the impact removing changelog delta chains has on changegroup generation via `hg perfchangegroupchangelog`: hg ! wall 1.589245 comb 1.590000 user 1.590000 sys 0.000000 (best of 7) ! wall 1.788060 comb 1.790000 user 1.790000 sys 0.000000 (best of 6) mozilla-central ! wall 17.382585 comb 17.380000 user 17.340000 sys 0.040000 (best of 3) ! wall 20.161357 comb 20.160000 user 20.120000 sys 0.040000 (best of 3) mozilla-unified ! wall 18.722839 comb 18.720000 user 18.680000 sys 0.040000 (best of 3) ! wall 21.168075 comb 21.170000 user 21.130000 sys 0.040000 (best of 3) pypy ! wall 4.828317 comb 4.830000 user 4.820000 sys 0.010000 (best of 3) ! wall 5.415455 comb 5.420000 user 5.410000 sys 0.010000 (best of 3) The data shows eliminating delta chains makes the changelog part of changegroup generation slower. This is expected since we now have to compute deltas for revisions where we could recycle the delta before. It is worth putting this regression into context of overall changegroup times. Here is the rough total CPU time spent in changegroup generation for various repos while using delta chains on the changelog: Repo CPU Time (s) CPU Time w/ compression hg 4.50 7.05 mozilla-central 111.1 222.0 pypy 28.68 75.5 Before compression, removing delta chains from the changegroup adds ~4.4% overhead to hg changegroup generation, 1.3% to mozilla-central, and 2.0% to pypy. When you factor in zlib compression, these percentages are roughly divided by 2. While the increased CPU usage for changegroup generation is unfortunate, I think it is acceptable because the percentage is small, server operators (those likely impacted most by this) have other mechanisms to mitigate CPU consumption (namely reducing zlib compression level and pre-generated clone bundles), and because there is room to optimize this in the future. For example, we could use the nullid as the base revision, effectively encoding the full revision for each entry in the changegroup. When doing this, `hg perfchangegroupchangelog` nearly halves: mozilla-unified ! wall 21.168075 comb 21.170000 user 21.130000 sys 0.040000 (best of 3) ! wall 11.196461 comb 11.200000 user 11.190000 sys 0.010000 (best of 3) This looks very promising as a future optimization opportunity. It's worth that the changes in test-acl.t to the changegroup part size. This is because revision 6 in the changegroup had a delta chain of length 2 before and after this patch the base revision is nullrev. When the base revision is nullrev, cg2packer.deltaparent() hardcodes the *previous* revision from the changegroup as the delta parent. This caused the delta in the changegroup to switch base revisions, the delta to change, and the size to change accordingly. While the size increased in this case, I think sizes will remain the same on average, as the delta base for changelog revisions doesn't matter too much (as this patch shows). So, I don't consider this a regression.
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#require serve
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Initialize repository
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the status call is to check for issue5130
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  $ hg init server
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  $ cd server
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  $ touch foo
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  $ hg -q commit -A -m initial
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  >>> for i in range(1024):
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  ...     with open(str(i), 'wb') as fh:
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  ...         fh.write(str(i))
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  $ hg -q commit -A -m 'add a lot of files'
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  $ hg st
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  $ hg serve -p $HGPORT -d --pid-file=hg.pid
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  $ cat hg.pid >> $DAEMON_PIDS
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  $ cd ..
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Basic clone
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  $ hg clone --uncompressed -U http://localhost:$HGPORT clone1
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  streaming all changes
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  1027 files to transfer, 96.3 KB of data
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  transferred 96.3 KB in * seconds (*/sec) (glob)
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  searching for changes
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  no changes found
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Clone with background file closing enabled
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  $ hg --debug --config worker.backgroundclose=true --config worker.backgroundcloseminfilecount=1 clone --uncompressed -U http://localhost:$HGPORT clone-background | grep -v adding
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  using http://localhost:$HGPORT/
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  sending capabilities command
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  sending branchmap command
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  streaming all changes
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  sending stream_out command
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  1027 files to transfer, 96.3 KB of data
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  starting 4 threads for background file closing
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  transferred 96.3 KB in * seconds (*/sec) (glob)
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  query 1; heads
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  sending batch command
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  searching for changes
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  all remote heads known locally
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  no changes found
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  sending getbundle command
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  bundle2-input-bundle: with-transaction
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  bundle2-input-part: "listkeys" (params: 1 mandatory) supported
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  bundle2-input-part: total payload size 58
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  bundle2-input-part: "listkeys" (params: 1 mandatory) supported
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  bundle2-input-bundle: 1 parts total
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  checking for updated bookmarks
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Stream clone while repo is changing:
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  $ mkdir changing
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  $ cd changing
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extension for delaying the server process so we reliably can modify the repo
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while cloning
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  $ cat > delayer.py <<EOF
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  > import time
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  > from mercurial import extensions, scmutil
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  > def __call__(orig, self, path, *args, **kwargs):
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  >     if path == 'data/f1.i':
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  >         time.sleep(2)
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  >     return orig(self, path, *args, **kwargs)
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  > extensions.wrapfunction(scmutil.vfs, '__call__', __call__)
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  > EOF
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prepare repo with small and big file to cover both code paths in emitrevlogdata
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  $ hg init repo
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  $ touch repo/f1
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  $ $TESTDIR/seq.py 50000 > repo/f2
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  $ hg -R repo ci -Aqm "0"
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  $ hg -R repo serve -p $HGPORT1 -d --pid-file=hg.pid --config extensions.delayer=delayer.py
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  $ cat hg.pid >> $DAEMON_PIDS
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clone while modifying the repo between stating file with write lock and
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actually serving file content
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  $ hg clone -q --uncompressed -U http://localhost:$HGPORT1 clone &
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  $ sleep 1
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  $ echo >> repo/f1
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  $ echo >> repo/f2
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  $ hg -R repo ci -m "1"
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  $ wait
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  $ hg -R clone id
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  000000000000