你可以尝试使用Dan Bernstein的CDB文件格式,并使用绑定哈希,这将需要最小的代码更改。您可能需要安装
CDB_File。在我的笔记本电脑上,cdb文件可以很快打开,我可以每秒进行约200-250k次查找。这是一个创建/使用/基准测试cdb的示例脚本:
test_cdb.pl
use warnings;
use strict;
use Benchmark qw(:all) ;
use CDB_File 'create';
use Time::HiRes qw( gettimeofday tv_interval );
scalar @ARGV or die "usage: $0 number_of_keys seconds_to_benchmark\n";
my ($size) = $ARGV[0] || 1000;
my ($seconds) = $ARGV[1] || 10;
my $t0;
tic();
my ($file, %data);
%data = map { $_ => 'something' } (1..$size);
print "Created $size element hash in memory\n";
toc();
$file = 'data.cdb';
create %data, $file, "$file.$$";
my $bytes = -s $file;
print "Created data.cdb [ $size keys and values, $bytes bytes]\n";
toc();
my $c = tie my %h, 'CDB_File', 'data.cdb' or die "tie failed: $!\n";
print "Opened data.cdb as a tied hash.\n";
toc();
timethese( -1 * $seconds, {
'Pick Random Key' => sub { int rand $size },
'Fetch Random Value' => sub { $h{ int rand $size }; },
});
tic();
print "Fetching Every Value\n";
for (0..$size) {
no warnings;
$h{ $_ };
}
toc();
sub tic {
$t0 = [gettimeofday];
}
sub toc {
my $t1 = [gettimeofday];
my $elapsed = tv_interval ( $t0, $t1);
$t0 = $t1;
print "==> took $elapsed seconds\n";
}
输出(100万个键,在10秒内测试)
./test_cdb.pl 1000000 10
Created 1000000 element hash in memory
==> took 2.882813 seconds
Created data.cdb [ 1000000 keys and values, 38890944 bytes]
==> took 2.333624 seconds
Opened data.cdb as a tied hash.
==> took 0.00015 seconds
Benchmark: running Fetch Random Value, Pick Random Key for at least 10 CPU seconds...
Fetch Random Value: 10 wallclock secs (10.46 usr + 0.01 sys = 10.47 CPU) @ 236984.72/s (n=2481230)
Pick Random Key: 9 wallclock secs (10.11 usr + 0.02 sys = 10.13 CPU) @ 3117208.98/s (n=31577327)
Fetching Every Value
==> took 3.514183 seconds
输出结果(1000万个键,在10秒内测试)
./test_cdb.pl 10000000 10
Created 10000000 element hash in memory
==> took 44.72331 seconds
Created data.cdb [ 10000000 keys and values, 398890945 bytes]
==> took 25.729652 seconds
Opened data.cdb as a tied hash.
==> took 0.000222 seconds
Benchmark: running Fetch Random Value, Pick Random Key for at least 10 CPU seconds...
Fetch Random Value: 14 wallclock secs ( 9.65 usr + 0.35 sys = 10.00 CPU) @ 209811.20/s (n=2098112)
Pick Random Key: 12 wallclock secs (10.40 usr + 0.02 sys = 10.42 CPU) @ 2865335.22/s (n=29856793)
Fetching Every Value
==> took 38.274356 seconds