Redis – PHPor 的Blog

php-redis benchmark

脚本：

<?php

$pid = posix_getpid();
$host = '10.10.11.123';
$port = '6379';
$auth = 'thepassword';

$total = $slow = $fail = 0;
$arr = array();
$t_start = microtime(1);
for($i = 0; $i < $argv[1]; $i++) {
        $total++;
        $time_start = microtime(1);
        $r = new Redis();
        $r->connect($host, $port, 1);
        $r->auth($auth);
        $r->select(3);
        $key = "test_${pid}_$i";
        $val = "data_$i";
        $r->set($key, $val);
        $v = $r->get($key);
        if ($v !== $val) {
                $fail++;continue;
        }
        $r->del($key);
        $time_end = microtime(1);
        $time_use = 1000 * ($time_end - $time_start);
        if ($time_use < 3) {
                @$arr["<3"]++;
        } else if ($time_use < 10) {
                @$arr["<10"]++;
        } else if ($time_use < 14) {
                @$arr["<14"]++;
        } else if ($time_use < 20) {
                @$arr["<20"]++;
        } else if ($time_use < 50) {
                @$arr["<50"]++;
        } else if ($time_use > 100) {
                @$arr[">100"]++;
        }
}
$t_end = microtime(1);
echo "total: $total\t";
echo "fail: $fail\n";
echo "time use: ". (($t_end - $t_start) * 100) ."ms\n";
ksort($arr);
printf("%4s: %6s %s(%%)\n", "ms", "count", "percent");
foreach($arr as $k=>$v) {
        printf("%4s: %6d %.2f%%\n", $k, $v, $v/$total*100);
}

<?php

$pid = posix_getpid();

$host = '10.10.11.123';

$port = '6379';

$auth = 'thepassword';

$total = $slow = $fail = 0;

$arr = array();

$t_start = microtime(1);

for($i = 0; $i < $argv[1]; $i++) {

$total++;

$time_start = microtime(1);

$r = new Redis();

$r->connect($host, $port, 1);

$r->auth($auth);

$r->select(3);

$key = "test_${pid}_$i";

$val = "data_$i";

$r->set($key, $val);

$v = $r->get($key);

if ($v !== $val) {

$fail++;continue;

}

$r->del($key);

$time_end = microtime(1);

$time_use = 1000 * ($time_end - $time_start);

if ($time_use < 3) {

@$arr["<3"]++;

} else if ($time_use < 10) {

@$arr["<10"]++;

} else if ($time_use < 14) {

@$arr["<14"]++;

} else if ($time_use < 20) {

@$arr["<20"]++;

} else if ($time_use < 50) {

@$arr["<50"]++;

} else if ($time_use > 100) {

@$arr[">100"]++;

}

$t_end = microtime(1);

echo "total: $total\t";

echo "fail: $fail\n";

echo "time use: ". (($t_end - $t_start) * 100) ."ms\n";

ksort($arr);

printf("%4s: %6s %s(%%)\n", "ms", "count", "percent");

foreach($arr as $k=>$v) {

printf("%4s: %6d %.2f%%\n", $k, $v, $v/$total*100);

}

阿里云的1G标准的re …

继续阅读“php-redis benchmark”

redis是如何处理同一个连接中连续的多个请求的

示例代码：

<?php

$fp = fsockopen("10.79.80.244", 6379);
fwrite($fp, "RANDOMKEY\r\nRANDO");
echo fread($fp, 2048);   // 第一个RANDOMKEY 立即被处理了
sleep(1);
fwrite($fp, "MKEY\r\nRANDO");
echo fread($fp, 2048);  // 部分延迟的命令也能被正确执行
sleep(1);
fwrite($fp, "MKEY\r\nRANDO");
echo fread($fp, 2048);

<?php

$fp = fsockopen("10.79.80.244", 6379);

fwrite($fp, "RANDOMKEY\r\nRANDO");

echo fread($fp, 2048); // 第一个RANDOMKEY 立即被处理了

sleep(1);

fwrite($fp, "MKEY\r\nRANDO");

echo fread($fp, 2048); // 部分延迟的命令也能被正确执行

sleep(1);

fwrite($fp, "MKEY\r\nRANDO");

echo fread($fp, 2048);

输出：

redis 源码片段

1. redis的lru的使用

robj *lookupKey(redisDb *db, robj *key) {
    dictEntry *de = dictFind(db->dict,key->ptr);
    if (de) {
        robj *val = dictGetVal(de);

        /* Update the access time for the ageing algorithm.
         * Don't do it if we have a saving child, as this will trigger
         * a copy on write madness. */
        if (server.rdb_child_pid == -1 && server.aof_child_pid == -1)
            val->lru = server.lruclock;
        return val;
    } else {
        return NULL;
    }
}