зеркало из https://github.com/mozilla/pjs.git
262 строки
7.4 KiB
Perl
262 строки
7.4 KiB
Perl
#
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# The contents of this file are subject to the Mozilla Public
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# License Version 1.1 (the "License"); you may not use this file
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# except in compliance with the License. You may obtain a copy of
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# the License at http://www.mozilla.org/MPL/
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#
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# Software distributed under the License is distributed on an "AS
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# IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or
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# implied. See the License for the specific language governing
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# rights and limitations under the License.
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#
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# The Original Code is Mozilla page-loader test, released Aug 5, 2001
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#
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# The Initial Developer of the Original Code is Netscape
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# Communications Corporation. Portions created by Netscape are
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# Copyright (C) 2001 Netscape Communications Corporation. All
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# Rights Reserved.
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#
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# Contributor(s):
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# John Morrison <jrgm@netscape.com>, original author
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#
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#
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package URLTimingDataSet;
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use DBI;
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use PageData; # list of test pages, etc.
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use strict;
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sub new {
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my $proto = shift;
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my $class = ref($proto) || $proto;
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my $self = {
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dataset => [],
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results => [],
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sorted => [],
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average => undef,
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avgmedian => undef, # note: average of individual medians
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maximum => undef,
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minimum => undef,
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};
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$self->{id} = shift || die "No id supplied";
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$self->{table} = shift || "t" . $self->{id};
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$self->{pages} = PageData->new;
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bless ($self, $class);
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$self->_grok();
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return $self;
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}
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sub _grok {
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my $self = shift;
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my ($res);
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# select the dataset from the db
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$self->_select();
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for (my $i=0; $i < $self->{pages}->length; $i++) {
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my $name = $self->{pages}->name($i);
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my $count = 0;
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my @times = ();
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my $nan = 0;
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foreach my $ref (@{$self->{dataset}}) {
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next if ($name ne $ref->{content});
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$count++;
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if ($ref->{c_part} eq "NaN") {
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# we bailed out of this page load
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$res = "NaN";
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$nan = 1;
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}
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else {
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my $s_intvl = $ref->{s_intvl};
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my $c_intvl = $ref->{c_intvl};
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my $errval = abs($s_intvl-$c_intvl)/(($s_intvl+$c_intvl)/2);
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if ($errval > 0.08) { # one of them went wrong and stalled out (see [1] below)
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$res = ($s_intvl <= $c_intvl) ? $s_intvl : $c_intvl;
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} else {
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$res = int(($s_intvl + $c_intvl)/2);
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}
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}
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push @times, $res;
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}
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my $avg = int(_avg(@times));
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my $med = _med(@times);
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my $max = $nan ? "NaN" : _max(@times);
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my $min = _min(@times);
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push @{$self->{results}}, [ $i, $name, $count, $avg, $med, $max, $min, @times ];
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}
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$self->_get_summary();
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$self->_sort_result_set();
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}
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sub _select {
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my $self = shift;
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my $dbh = DBI->connect("DBI:CSV:f_dir=./db", {RaiseError => 1, AutoCommit => 1})
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or die "Cannot connect: " . $DBI::errstr;
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my $sql = qq{
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SELECT INDEX, S_INTVL, C_INTVL, C_PART, CONTENT, ID
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FROM $self->{table}
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WHERE ID = '$self->{id}'
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};
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my $sth = $dbh->prepare($sql);
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$sth->execute();
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while (my @data = $sth->fetchrow_array()) {
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push @{$self->{dataset}},
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{index => $data[0],
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s_intvl => $data[1],
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c_intvl => $data[2],
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c_part => $data[3],
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content => $data[4],
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id => $data[5]
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};
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}
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$sth->finish();
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$dbh->disconnect();
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}
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sub _get_summary {
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my $self = shift;
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my (@avg, @med, @max, @min);
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# how many pages were loaded in total ('sampled')
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$self->{samples} = scalar(@{$self->{dataset}});
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# how many cycles (should I get this from test parameters instead?)
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$self->{count} = int(_avg( map($_->[2], @{$self->{results}}) ));
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#warn $self->{count};
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# calculate overall average, average median, maximum, minimum, (RMS Error?)
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for (@{$self->{results}}) {
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push @avg, $_->[3];
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push @med, $_->[4];
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push @max, $_->[5];
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push @min, $_->[6];
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}
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$self->{average} = int(_avg(@avg));
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$self->{avgmedian} = int(_avg(@med)); # note: averaging individual medians
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$self->{maximum} = _max(@max);
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$self->{minimum} = _min(@min);
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}
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sub _sort_result_set {
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my $self = shift;
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# sort by median load time
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# @{$self->{sorted}} = sort {$a->[4] <=> $b->[4]} @{$self->{results}};
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# might be "NaN", but this is lame of me to be carrying around a string instead of undef
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@{$self->{sorted}} =
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sort {
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if ($a->[4] eq "NaN" || $b->[4] eq "NaN") {
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return $a->[4] cmp $b->[4];
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} else {
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return $a->[4] <=> $b->[4];
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}
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} @{$self->{results}};
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}
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sub as_string {
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my $self = shift;
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return $self->_as_string();
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}
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sub as_string_sorted {
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my $self = shift;
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return $self->_as_string(@{$self->{sorted}});
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}
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sub _as_string {
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my $self = shift;
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my @ary = @_ ? @_ : @{$self->{results}};
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my $str;
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for (@ary) {
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my ($index, $path, $count, $avg, $med, $max, $min, @times) = @$_;
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$str .= sprintf "%3s %-26s\t", $index, $path;
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if ($count > 0) {
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$str .= sprintf "%6s %6s %6s %6s ", $avg, $med, $max, $min;
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foreach my $time (@times) {
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$str .= sprintf "%6s ", $time;
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}
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}
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$str .= "\n";
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}
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return $str;
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}
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#
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# package internal helper functions
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#
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sub _num {
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my @array = ();
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for (@_) { push @array, $_ if /^[+-]?\d+\.?\d*$/o; }
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return @array;
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}
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sub _avg {
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my @array = _num(@_);
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return "NaN" unless scalar(@array);
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my $sum = 0;
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for (@array) { $sum += $_; }
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return $sum/scalar(@array);
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}
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sub _max {
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my @array = _num(@_);
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return "NaN" unless scalar(@array);
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my $max = $array[0];
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for (@array) { $max = ($max > $_) ? $max : $_; }
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return $max;
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}
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sub _min {
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my @array = _num(@_);
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return "NaN" unless scalar(@array);
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my $min = $array[0];
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for (@array) { $min = ($min < $_) ? $min : $_; }
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return $min;
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}
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# returns the floor(N/2) element of a sorted ascending array
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sub _med {
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my @array = _num(@_);
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return "NaN" unless scalar(@array);
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my $index = int((scalar(@array)-1)/2);
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@array = sort {$a <=> $b} @array;
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return $array[$index];
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}
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1; # return true
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################################################################################
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#
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# [1] in looking at the test results, in almost all cases, the
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# round-trip time measured by the server logic and the client logic
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# would be almost the same value (which is what one would
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# expect). However, on occasion, one of the them would be "out of
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# whack", and inconsistent with the additional "layout" measure by the
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# client.
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#
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# i.e., a set of numbers like these:
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# c_part c_intvl s_intvl
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# 800 1003 997
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# 804 1007 1005
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# 801 1001 1325 <--
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# 803 1318 998 <--
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# 799 1002 1007
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# ...
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#
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# which looks like the server side would stall in doing the accept or
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# in running the mod-perl handler (possibly a GC?). (The following
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# c_intvl would then be out of whack by a matching amount on the next
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# cycle).
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#
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# At any rate, since it was clear from comparing with the 'c_part'
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# measure, which of the times was bogus, I just use an arbitrary error
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# measure to determine when to toss out the "bad" value.
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#
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