Previously, while unpacking the dirstate we'd create 3-4 new CPython objects
for most dirstate values:
- the state is a single character string, which is pooled by CPython
- the mode is a new object if it isn't 0 due to being in the lookup set
- the size is a new object if it is greater than 255
- the mtime is a new object if it isn't -1 due to being in the lookup set
- the tuple to contain them all
In some cases such as regular hg status, we actually look at all the objects.
In other cases like hg add, hg status for a subdirectory, or hg status with the
third-party hgwatchman enabled, we look at almost none of the objects.
This patch eliminates most object creation in these cases by defining a custom
C struct that is exposed to Python with an interface similar to a tuple. Only
when tuple elements are actually requested are the respective objects created.
The gains, where they're expected, are significant. The following tests are run
against a working copy with over 270,000 files.
parse_dirstate becomes significantly faster:
$ hg perfdirstate
before: wall 0.186437 comb 0.180000 user 0.160000 sys 0.020000 (best of 35)
after: wall 0.093158 comb 0.100000 user 0.090000 sys 0.010000 (best of 95)
and as a result, several commands benefit:
$ time hg status # with hgwatchman enabled
before: 0.42s user 0.14s system 99% cpu 0.563 total
after: 0.34s user 0.12s system 99% cpu 0.471 total
$ time hg add new-file
before: 0.85s user 0.18s system 99% cpu 1.033 total
after: 0.76s user 0.17s system 99% cpu 0.931 total
There is a slight regression in regular status performance, but this is fixed
in an upcoming patch.
perfdirs results for a working dir with 170,000 files:
Python 638 msec
C 244
C+int 192
C+int+str 168
In the large repo above, the nearly 0.5 second time improvement is
visible in commands like "hg add" and "hg update".
hg add
Python 1100 msec
C+int+str 600
hg update (with nothing to do)
Python 2800 msec
C+int+str 2240
This is over twice as fast as the Python dirs code. Upcoming changes
will nearly double its speed again.
perfdirs results for a working dir with 170,000 files:
Python 638 msec
C 244
