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This article will introduce to you a one-minute interpretation of PHP-based redis counter class? It has certain reference value. Friends in need can refer to it. I hope it will be helpful to everyone.
Redis is an open source log-type, Key-Value database written in ANSI C language, supports network, can be memory-based and persistent, and provides multiple languages. API.
This article will use its incr (increment) , get (get) , delete (clear) methods to implement the counter class.
RedisCounter.class.php
<?php/** * PHP基于Redis计数器类 * Date: 2017-10-28 * Author: fdipzone * Version: 1.0 * * Descripton: * php基于Redis实现自增计数,主要使用redis的incr方法,并发执行时保证计数自增唯一。 * * Func: * public incr 执行自增计数并获取自增后的数值 * public get 获取当前计数 * public reset 重置计数 * private connect 创建redis连接 */class RedisCounter{ // class start private $_config; private $_redis; /** * 初始化 * @param Array $config redis连接设定 */ public function __construct($config){ $this->_config = $config; $this->_redis = $this->connect(); } /** * 执行自增计数并获取自增后的数值 * @param String $key 保存计数的键值 * @param Int $incr 自增数量,默认为1 * @return Int */ public function incr($key, $incr=1){ return intval($this->_redis->incr($key, $incr)); } /** * 获取当前计数 * @param String $key 保存计数的健值 * @return Int */ public function get($key){ return intval($this->_redis->get($key)); } /** * 重置计数 * @param String $key 保存计数的健值 * @return Int */ public function reset($key){ return $this->_redis->delete($key); } /** * 创建redis连接 * @return Link */ private function connect(){ try{ $redis = new Redis(); $redis->connect($this->_config['host'], $this->_config['port'],$this->_config['timeout'],$this->_config['reserved'], $this->_config['retry_interval']); if(empty($this->_config['auth'])){ $redis->auth($this->_config['auth']); } $redis->select($this->_config['index']); }catch(RedisException $e){ throw new Exception($e->getMessage()); return false; } return $redis; } } // class end?>
demo.php
<?php Require 'RedisCounter.class.php'; // redis连接设定 $config = array( 'host' => 'localhost', 'port' => 6379, 'index' => 0, 'auth' => '', 'timeout' => 1, 'reserved' => NULL, 'retry_interval' => 100, ); // 创建RedisCounter对象 $oRedisCounter = new RedisCounter($config); // 定义保存计数的健值 $key = 'mycounter'; // 执行自增计数,获取当前计数,重置计数 echo $oRedisCounter->get($key).PHP_EOL; // 0 echo $oRedisCounter->incr($key).PHP_EOL; // 1 echo $oRedisCounter->incr($key, 10).PHP_EOL; // 11 echo $oRedisCounter->reset($key).PHP_EOL; // 1 echo $oRedisCounter->get($key).PHP_EOL; // 0 ?>
Output:
0 1 11 1 0
2. Concurrently call the counter and check the uniqueness of the count
The test code is as follows:
<?php Require 'RedisCounter.class.php'; // redis连接设定 $config = array( 'host' => 'localhost', 'port' => 6379, 'index' => 0, 'auth' => '', 'timeout' => 1, 'reserved' => NULL, 'retry_interval' => 100, ); // 创建RedisCounter对象 $oRedisCounter = new RedisCounter($config); // 定义保存计数的健值 $key = 'mytestcounter'; // 执行自增计数并返回自增后的计数,记录入临时文件 file_put_contents('/tmp/mytest_result.log', $oRedisCounter->incr($key).PHP_EOL, FILE_APPEND); ?>
To test concurrent execution, we use ab Tool for testing, set to execute 150 times, 15 concurrency.
ab -c 15 -n 150 http://localhost/test.php
Execution results:
ab -c 15 -n 150 http://localhost/test.php This is ApacheBench, Version 2.3 <$Revision: 1554214 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking home.rabbit.km.com (be patient).....done Server Software: nginx/1.6.3 Server Hostname: localhost Server Port: 80 Document Path: /test.php Document Length: 0 bytes Concurrency Level: 15 Time taken for tests: 0.173 seconds Complete requests: 150 Failed requests: 0 Total transferred: 24150 bytes HTML transferred: 0 bytes Requests per second: 864.86 [#/sec] (mean) Time per request: 17.344 [ms] (mean) Time per request: 1.156 [ms] (mean, across all concurrent requests) Transfer rate: 135.98 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.2 0 1 Processing: 3 16 3.2 16 23 Waiting: 3 16 3.2 16 23 Total: 4 16 3.1 17 23 Percentage of the requests served within a certain time (ms) 50% 17 66% 18 75% 18 80% 19 90% 20 95% 21 98% 22 99% 22 100% 23 (longest request)
Check whether the count is unique
生成的总计数 wc -l /tmp/mytest_result.log 150 /tmp/mytest_result.log生成的唯一计数 sort -u /tmp/mytest_result.log | wc -l 150
You can see that in concurrent calls case, the resulting count is also guaranteed to be unique.
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