view mercurial/registrar.py @ 30212:260af19891f2

changegroup: increase write buffer size to 128k

By default, Python defers to the operating system for choosing the
default buffer size on opened files. On my Linux machine, the default
is 4k, which is really small for 2016.

This patch bumps the write buffer size when writing
changegroups/bundles to 128k. This matches the 128k read buffer
we already use on revlogs.

It's worth noting that this only impacts when writing to an explicit
file (such as during `hg bundle`). Buffers when writing to bundle
files via the repo vfs or to a temporary file are not impacted.

When producing a none-v2 bundle file of the mozilla-unified repository,
this change caused the number of write() system calls to drop from
952,449 to 29,788. After this change, the most frequent system
calls are fstat(), read(), lseek(), and open(). There were
2,523,672 system calls after this patch (so a net decrease of
~950k is statistically significant).

This change shows no performance change on my system. But I have a
high-end system with a fast SSD. It is quite possible this change
will have a significant impact on network file systems, where
extra network round trips due to excessive I/O system calls could
introduce significant latency.

# registrar.py - utilities to register function for specific purpose
#
#  Copyright FUJIWARA Katsunori <[e-mail]> and others
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.

from __future__ import absolute_import

from . import (
    pycompat,
    util,
)

class _funcregistrarbase(object):
    """Base of decorator to register a fuction for specific purpose

    This decorator stores decorated functions into own dict 'table'.

    The least derived class can be defined by overriding 'formatdoc',
    for example::

        class keyword(_funcregistrarbase):
            _docformat = ":%s: %s"

    This should be used as below:

        keyword = registrar.keyword()

        @keyword('bar')
        def barfunc(*args, **kwargs):
            '''Explanation of bar keyword ....
            '''
            pass

    In this case:

    - 'barfunc' is stored as 'bar' in '_table' of an instance 'keyword' above
    - 'barfunc.__doc__' becomes ":bar: Explanation of bar keyword"
    """
    def __init__(self, table=None):
        if table is None:
            self._table = {}
        else:
            self._table = table

    def __call__(self, decl, *args, **kwargs):
        return lambda func: self._doregister(func, decl, *args, **kwargs)

    def _doregister(self, func, decl, *args, **kwargs):
        name = self._getname(decl)

        if func.__doc__ and not util.safehasattr(func, '_origdoc'):
            doc = func.__doc__.strip()
            func._origdoc = doc
            func.__doc__ = self._formatdoc(decl, doc)

        self._table[name] = func
        self._extrasetup(name, func, *args, **kwargs)

        return func

    def _parsefuncdecl(self, decl):
        """Parse function declaration and return the name of function in it
        """
        i = decl.find('(')
        if i >= 0:
            return decl[:i]
        else:
            return decl

    def _getname(self, decl):
        """Return the name of the registered function from decl

        Derived class should override this, if it allows more
        descriptive 'decl' string than just a name.
        """
        return decl

    _docformat = None

    def _formatdoc(self, decl, doc):
        """Return formatted document of the registered function for help

        'doc' is '__doc__.strip()' of the registered function.
        """
        return self._docformat % (decl, doc)

    def _extrasetup(self, name, func):
        """Execute exra setup for registered function, if needed
        """
        pass

class revsetpredicate(_funcregistrarbase):
    """Decorator to register revset predicate

    Usage::

        revsetpredicate = registrar.revsetpredicate()

        @revsetpredicate('mypredicate(arg1, arg2[, arg3])')
        def mypredicatefunc(repo, subset, x):
            '''Explanation of this revset predicate ....
            '''
            pass

    The first string argument is used also in online help.

    Optional argument 'safe' indicates whether a predicate is safe for
    DoS attack (False by default).

    Optional argument 'takeorder' indicates whether a predicate function
    takes ordering policy as the last argument.

    'revsetpredicate' instance in example above can be used to
    decorate multiple functions.

    Decorated functions are registered automatically at loading
    extension, if an instance named as 'revsetpredicate' is used for
    decorating in extension.

    Otherwise, explicit 'revset.loadpredicate()' is needed.
    """
    _getname = _funcregistrarbase._parsefuncdecl
    _docformat = pycompat.sysstr("``%s``\n    %s")

    def _extrasetup(self, name, func, safe=False, takeorder=False):
        func._safe = safe
        func._takeorder = takeorder

class filesetpredicate(_funcregistrarbase):
    """Decorator to register fileset predicate

    Usage::

        filesetpredicate = registrar.filesetpredicate()

        @filesetpredicate('mypredicate()')
        def mypredicatefunc(mctx, x):
            '''Explanation of this fileset predicate ....
            '''
            pass

    The first string argument is used also in online help.

    Optional argument 'callstatus' indicates whether a predicate
     implies 'matchctx.status()' at runtime or not (False, by
     default).

    Optional argument 'callexisting' indicates whether a predicate
    implies 'matchctx.existing()' at runtime or not (False, by
    default).

    'filesetpredicate' instance in example above can be used to
    decorate multiple functions.

    Decorated functions are registered automatically at loading
    extension, if an instance named as 'filesetpredicate' is used for
    decorating in extension.

    Otherwise, explicit 'fileset.loadpredicate()' is needed.
    """
    _getname = _funcregistrarbase._parsefuncdecl
    _docformat = pycompat.sysstr("``%s``\n    %s")

    def _extrasetup(self, name, func, callstatus=False, callexisting=False):
        func._callstatus = callstatus
        func._callexisting = callexisting

class _templateregistrarbase(_funcregistrarbase):
    """Base of decorator to register functions as template specific one
    """
    _docformat = pycompat.sysstr(":%s: %s")

class templatekeyword(_templateregistrarbase):
    """Decorator to register template keyword

    Usage::

        templaetkeyword = registrar.templatekeyword()

        @templatekeyword('mykeyword')
        def mykeywordfunc(repo, ctx, templ, cache, revcache, **args):
            '''Explanation of this template keyword ....
            '''
            pass

    The first string argument is used also in online help.

    'templatekeyword' instance in example above can be used to
    decorate multiple functions.

    Decorated functions are registered automatically at loading
    extension, if an instance named as 'templatekeyword' is used for
    decorating in extension.

    Otherwise, explicit 'templatekw.loadkeyword()' is needed.
    """

class templatefilter(_templateregistrarbase):
    """Decorator to register template filer

    Usage::

        templatefilter = registrar.templatefilter()

        @templatefilter('myfilter')
        def myfilterfunc(text):
            '''Explanation of this template filter ....
            '''
            pass

    The first string argument is used also in online help.

    'templatefilter' instance in example above can be used to
    decorate multiple functions.

    Decorated functions are registered automatically at loading
    extension, if an instance named as 'templatefilter' is used for
    decorating in extension.

    Otherwise, explicit 'templatefilters.loadkeyword()' is needed.
    """

class templatefunc(_templateregistrarbase):
    """Decorator to register template function

    Usage::

        templatefunc = registrar.templatefunc()

        @templatefunc('myfunc(arg1, arg2[, arg3])')
        def myfuncfunc(context, mapping, args):
            '''Explanation of this template function ....
            '''
            pass

    The first string argument is used also in online help.

    'templatefunc' instance in example above can be used to
    decorate multiple functions.

    Decorated functions are registered automatically at loading
    extension, if an instance named as 'templatefunc' is used for
    decorating in extension.

    Otherwise, explicit 'templater.loadfunction()' is needed.
    """
    _getname = _funcregistrarbase._parsefuncdecl