view contrib/perf-utils/perf-revlog-write-plot.py @ 46472:98e39f04d60e

upgrade: implement partial upgrade for upgrading persistent-nodemap

Upgrading repositories to use persistent nodemap should be fast and easy as it
requires only two things:

1) Updating the requirements
2) Writing a persistent-nodemap on disk

For both of the steps above, we don't need to edit existing revlogs.

This patch makes upgrade only do the above mentioned two steps if we are
only upgarding to use persistent-nodemap feature.

Since `nodemap.persist_nodemap()` assumes that there exists a nodemap file for
the given revlog if we are trying to call it, this patch adds `force` argument
to create a file if does not exist which is true in our upgrade case.

The test changes demonstrate that we no longer write nodemap files for manifest
after upgrade which I think is desirable.

Differential Revision: https://phab.mercurial-scm.org/D9936

#!/usr/bin/env python3
#
#  Copyright 2018 Paul Morelle <[e-mail]>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
#
# This script use the output of `hg perfrevlogwrite -T json --details` to draw
# various plot related to write performance in a revlog
#
# usage: perf-revlog-write-plot.py details.json
from __future__ import absolute_import, print_function
import json
import re

import numpy as np
import scipy.signal

from matplotlib import (
    pyplot as plt,
    ticker as mticker,
)


def plot(data, title=None):
    items = {}
    re_title = re.compile(r'^revisions #\d+ of \d+, rev (\d+)$')
    for item in data:
        m = re_title.match(item['title'])
        if m is None:
            continue

        rev = int(m.group(1))
        items[rev] = item

    min_rev = min(items.keys())
    max_rev = max(items.keys())
    ary = np.empty((2, max_rev - min_rev + 1))
    for rev, item in items.items():
        ary[0][rev - min_rev] = rev
        ary[1][rev - min_rev] = item['wall']

    fig = plt.figure()
    comb_plt = fig.add_subplot(211)
    other_plt = fig.add_subplot(212)

    comb_plt.plot(
        ary[0], np.cumsum(ary[1]), color='red', linewidth=1, label='comb'
    )

    plots = []
    p = other_plt.plot(ary[0], ary[1], color='red', linewidth=1, label='wall')
    plots.append(p)

    colors = {
        10: ('green', 'xkcd:grass green'),
        100: ('blue', 'xkcd:bright blue'),
        1000: ('purple', 'xkcd:dark pink'),
    }
    for n, color in colors.items():
        avg_n = np.convolve(ary[1], np.full(n, 1.0 / n), 'valid')
        p = other_plt.plot(
            ary[0][n - 1 :],
            avg_n,
            color=color[0],
            linewidth=1,
            label='avg time last %d' % n,
        )
        plots.append(p)

        med_n = scipy.signal.medfilt(ary[1], n + 1)
        p = other_plt.plot(
            ary[0],
            med_n,
            color=color[1],
            linewidth=1,
            label='median time last %d' % n,
        )
        plots.append(p)

    formatter = mticker.ScalarFormatter()
    formatter.set_scientific(False)
    formatter.set_useOffset(False)

    comb_plt.grid()
    comb_plt.xaxis.set_major_formatter(formatter)
    comb_plt.legend()

    other_plt.grid()
    other_plt.xaxis.set_major_formatter(formatter)
    leg = other_plt.legend()
    leg2plot = {}
    for legline, plot in zip(leg.get_lines(), plots):
        legline.set_picker(5)
        leg2plot[legline] = plot

    def onpick(event):
        legline = event.artist
        plot = leg2plot[legline]
        visible = not plot[0].get_visible()
        for l in plot:
            l.set_visible(visible)

        if visible:
            legline.set_alpha(1.0)
        else:
            legline.set_alpha(0.2)
        fig.canvas.draw()

    if title is not None:
        fig.canvas.set_window_title(title)
    fig.canvas.mpl_connect('pick_event', onpick)

    plt.show()


if __name__ == '__main__':
    import sys

    if len(sys.argv) > 1:
        print('reading from %r' % sys.argv[1])
        with open(sys.argv[1], 'r') as fp:
            plot(json.load(fp), title=sys.argv[1])
    else:
        print('reading from stdin')
        plot(json.load(sys.stdin))