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