Redis benchmarking for hget- og hset-kommandoer

Jeg har lige opdaget redis-benchmark kommandoen benchmarker ikke hSet og hGet kommandoer. (Jeg bruger v2.8.5)

Hvad du kan gøre er at skrive et lille program for at benchmarke ydeevnen:

<?php

$redis = new Redis();
$redis->pconnect("127.0.0.1");

$count = 10000;

$start_t = microtime(true);
for ($i = 1; $i < $count; $i++) {
    $redis->hSet("h{$i}", 'f', $i);
}
$end_t = microtime(true);

echo "Time taken for hSet = " . round(1000 * ($end_t - $start_t)) . "ms (for " . number_format($count) . " keys)\n";

$start_t = microtime(true);
$pipeline1 = $redis->pipeline();
for ($i = 1; $i < $count; $i++) {
    $pipeline1->hSet("h{$i}", 'f', $i);
}
$result2 = $pipeline1->exec();
$end_t = microtime(true);

echo "Time taken for hSet (bulk) = " . round(1000 * ($end_t - $start_t)) . "ms (for " . number_format($count) . " keys)\n";

$start_t = microtime(true);
for ($i = 1; $i < $count; $i++) {
    $redis->hGet("h{$i}", 'f');
}
$end_t = microtime(true);

echo "Time taken for hGet = " . round(1000 * ($end_t - $start_t)) . "ms (for " . number_format($count) . " keys)\n";

$start_t = microtime(true);
$pipeline2 = $redis->pipeline();
for ($i = 1; $i < $count; $i++) {
    $pipeline2->hGet("h{$i}", 'f');
}
$result2 = $pipeline2->exec();
$end_t = microtime(true);

echo "Time taken for hGet (bulk) = " . round(1000 * ($end_t - $start_t)) . "ms (for " . number_format($count) . " keys)\n";


$start_t = microtime(true);
$pipeline3 = $redis->pipeline();
for ($i = 1; $i < $count; $i++) {
    $pipeline3->hDel("h{$i}", 'f');
}
$result3 = $pipeline3->exec();
$end_t = microtime(true);

echo "Time taken for hDel (bulk) = " . round(1000 * ($end_t - $start_t)) . "ms (for " . number_format($count) . " keys)\n";

På min testserver er resultaterne som følger:

$ php redis/benchmark_redis.php Time taken for hSet = 557ms (for 10,000 keys) Time taken for hSet (bulk) = 51ms (for 10,000 keys) Time taken for hGet = 483ms (for 10,000 keys) Time taken for hGet (bulk) = 43ms (for 10,000 keys) Time taken for hDel (bulk) = 49ms (for 10,000 keys)