view tests/test-sparse-requirement.t @ 37844:8fb9985382be

pycompat: export queue module instead of symbols in module (API)

Previously, pycompat and util re-exported individual symbols from the
queue module. This had the side-effect of forcing the loading of the
queue module whenever pycompat/util was imported.

These symbols aren't used very often. So importing the module to
get a handle on the symbols is wasteful.

This commit changes pycompat so it no longer exports the individual
symbols in the queue module. Instead, we make the imported module
a "public" symbol. We drop the individual symbol aliases from the
util module. All consumers are updated to use pycompat.queue.* instead.

This change makes 300 invocations of `hg log -r. -T '{rev}\n'` a little
faster:

before: 18.44s
after:  17.87s

Differential Revision: https://phab.mercurial-scm.org/D3441

  $ hg init repo
  $ cd repo

  $ touch a.html b.html c.py d.py

  $ cat > frontend.sparse << EOF
  > [include]
  > *.html
  > EOF

  $ hg -q commit -A -m initial

  $ echo 1 > a.html
  $ echo 1 > c.py
  $ hg commit -m 'commit 1'

Enable sparse profile

  $ cat .hg/requires
  dotencode
  fncache
  generaldelta
  revlogv1
  store
  testonly-simplestore (reposimplestore !)

  $ hg debugsparse --config extensions.sparse= --enable-profile frontend.sparse
  $ ls
  a.html
  b.html

Requirement for sparse added when sparse is enabled

  $ cat .hg/requires
  dotencode
  exp-sparse
  fncache
  generaldelta
  revlogv1
  store
  testonly-simplestore (reposimplestore !)

Client without sparse enabled reacts properly

  $ hg files
  abort: repository is using sparse feature but sparse is not enabled; enable the "sparse" extensions to access!
  [255]

Requirement for sparse is removed when sparse is disabled

  $ hg debugsparse --reset --config extensions.sparse=

  $ cat .hg/requires
  dotencode
  fncache
  generaldelta
  revlogv1
  store
  testonly-simplestore (reposimplestore !)

And client without sparse can access

  $ hg files
  a.html
  b.html
  c.py
  d.py
  frontend.sparse