Mercurial > hg
view tests/test-clone-cgi.t @ 18234:a55b06885cda
branchmap: allow to use cache of subset
Filtered repository are *subset* of unfiltered repository. This means that a
filtered branchmap could be use to compute the unfiltered version.
And filtered version happen to be subset of each other:
- "all() - unserved()" is a subset of "all() - hidden()"
- "all() - hidden()" is a subset of "all()"
This means that branchmap with "unfiltered" filter can be used as a base for
"hidden" branchmap that itself could be used as a base for unfiltered
branchmap.
unserved < hidden < None
This changeset implements this mechanism. If the on disk branchcache is not valid
we use the branchcache of the nearest subset as base instead of computing it from
scratch. Such fallback can be cascaded multiple time is necessary.
Note that both "hidden" and "unserved" set are a bit volatile. We will add more
stable filtering in next changesets.
This changeset enables collaboration between no filtering and "unserved"
filtering. Fixing performance regression introduced by 47f00b0de337
author | Pierre-Yves David <pierre-yves.david@ens-lyon.org> |
---|---|
date | Mon, 07 Jan 2013 17:23:25 +0100 |
parents | 8b84d040d9f9 |
children | e8efcc8ff5c0 |
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$ "$TESTDIR/hghave" no-msys || exit 80 # MSYS will translate web paths as if they were file paths This is a test of the wire protocol over CGI-based hgweb. initialize repository $ hg init test $ cd test $ echo a > a $ hg ci -Ama adding a $ cd .. $ cat >hgweb.cgi <<HGWEB > # > # An example CGI script to use hgweb, edit as necessary > import cgitb > cgitb.enable() > from mercurial import demandimport; demandimport.enable() > from mercurial.hgweb import hgweb > from mercurial.hgweb import wsgicgi > application = hgweb("test", "Empty test repository") > wsgicgi.launch(application) > HGWEB $ chmod 755 hgweb.cgi try hgweb request $ . "$TESTDIR/cgienv" $ QUERY_STRING="cmd=changegroup&roots=0000000000000000000000000000000000000000"; export QUERY_STRING $ python hgweb.cgi >page1 2>&1 $ python "$TESTDIR/md5sum.py" page1 1f424bb22ec05c3c6bc866b6e67efe43 page1