PHP Based on Redis counter class

Redis is an open source, with the use of ANSI C language, support network, can be based on memory can also be persistent log-type, Key-value database, and provide a variety of language APIs.

This article uses its incr, get (fetch), delete (purge) method to implement the Counter class.

1.Redis Counter Class code and demo example

RedisCounter.class.php

<?php/** * PHP based on Redis counter class * date:2017-10-28 * author:fdipzone * version:1.0 * * Descripton: * php based on Redis
 To realize the increment count, the main use of the Redis incr method, the concurrent implementation of the guarantee count is unique. * * Func: * Public INCR performs the increment count and obtains the increment value * Public gets get current count * Public reset Reset Count * Private Connect Create Redis
    Connect */class rediscounter{//class start Private $_config;

    Private $_redis; /** * Initialization * @param Array $config redis Connection setting/Public function __construct ($config) {$this->_
        config = $config;
    $this->_redis = $this->connect ();  /** * Performs a self-increment count and obtains the self-increment value * @param String $key Save count Key value * @param Int $incr The number of numbers, default to 1 * @return
    Int/Public Function incr ($key, $incr =1) {return intval ($this->_redis->incr ($key, $INCR));
        /** * Gets Current count * @param String $key Save Count's health value * @return Int/Public function get ($key) {
    Return Intval ($this->_redis->get ($key));
  }

    /**   * Reset Count * @param String $key The health value of the save Count * @return Int/Public Function Reset ($key) {return $
    This->_redis->delete ($key); /** * Create redis Connection * @return Link/private Function connect () {try{$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 Connection Setting
$config = Array (
    ' host ' => ' localhost ', '
    Port ' => 6379,
    ' index ' => 0,
    ' auth ' = > ',
    ' timeout ' => 1,
    ' reserved ' => NULL,
    ' retry_interval ' =>
;

Create a Rediscounter object
$oRedisCounter = new Rediscounter ($config);

Defines the health value of the save count
$key = ' mycounter ';

Performs an increment count, gets the current count, resets the Count
Echo $oRedisCounter->get ($key). Php_eol; 0
Echo $oRedisCounter->incr ($key). Php_eol; 1
Echo $oRedisCounter->incr ($key, 10). Php_eol; One
echo $oRedisCounter->reset ($key). Php_eol; 1
Echo $oRedisCounter->get ($key). Php_eol; 0 
?>

Output:

0
1
1
0

2. Concurrent Call counter, check count uniqueness

The test code is as follows:

<?php
Require ' RedisCounter.class.php ';

Redis Connection Setting
$config = Array (
    ' host ' => ' localhost ', '
    Port ' => 6379,
    ' index ' => 0,
    ' auth ' = > ',
    ' timeout ' => 1,
    ' reserved ' => NULL,
    ' retry_interval ' =>
;

Create a Rediscounter object
$oRedisCounter = new Rediscounter ($config);

Defines the health value of the save count
$key = ' mytestcounter ';

Executes the self count and returns the count after the increment, recording the temporary file
file_put_contents ('/tmp/mytest_result.log ', $oRedisCounter->incr ($key). Php_eol, file_append);
? >

Test concurrent execution, we use the AB tool to test, set execution 150 times, 15 concurrent.

Ab-c 15-n http://localhost/test.php

Execution Results:

Ab-c 15-n http://localhost/test.php This is apachebench, Version 2.3 < $Revision: 1554214 $> Copyright 1996 Ada

M 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:local      Host Server port:80 document Path:/test.php document length:0 bytes concurrency level: Taken for tests:0.173 seconds Complete requests:150 Failed requests:0 Total Transferred:2 4150 bytes HTML transferred:0 bytes Requests/second:864.86 [#/sec] (mean) time per request:17.344 [m S] (mean) time/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:33.2 Waiting:3 3.2 Total:4 3.1 (Percentag)      E of the requests served within a certain time (ms) 50% 17 66% 18 75% 18 80% 19 90% 20 95% 98% 99% 100% (longest request)

Check if count is unique

The total number of builds
wc-l/tmp/mytest_result.log 
     150/tmp/mytest_result.log

generated unique count
sort-u/tmp/mytest_ Result.log | Wc-l
     150

You can see that in the case of a concurrent invocation, the generated count is guaranteed to be unique.


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