How to use Memcached in PHP

王林
Release: 2023-06-11 19:32:01
Original
1229 people have browsed it

Some websites or applications need to cache and access large amounts of data quickly. In this case, using Memcached, a popular open source distributed memory object caching system, is a good choice. Memcached can improve application performance by caching large amounts of data. It can help reduce the load of large database access and relieve the pressure of frequent queries and read and write operations on the database. In PHP, using Memcached is very simple. This article will introduce how to install and use Memcached.

  1. Installing Memcached

Installing Memcached on Ubuntu is very simple, just enter the following command in the terminal:

sudo apt-get update
sudo apt-get install memcached
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After installation , we also need to install the php-memcached extension, which is the PHP client interface to Memcached. The method to install the php-memcached extension on Ubuntu is as follows:

sudo apt-get update
sudo apt-get install php-memcached
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  1. Connecting Memcached

When using Memcached through PHP, you need to first create a Memcached instance and connect to the Memcached server . An instance can be created and connected to the server using the Memcached() function, as shown below:

$memcached = new Memcached();
$memcached->addServer('127.0.0.1', 11211);
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Here, we create a $memcached object and then use ## The #addServer() method connects it to the Memcached server located on the local host with port 11211.

    Storing and retrieving data
Now that you are connected to the Memcached server, you can store the data in it. Data can be stored in Memcached using the

set() method as follows:

$memcached->set('key', 'value', 60);
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Here, we store the data named "key" in Memcached and its value Set to "value". Additionally, we set a timeout period of 60 seconds for this data to be stored. This means that after 60 seconds, the data will be automatically deleted. Similarly, you can use the

get() method to get data from Memcached, as shown below:

$value = $memcached->get('key');
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Here, we use the

get() method to get the name "key "The value of the data and stores it in the $value variable.

    Delete data
If you need to delete data from Memcached, you can use the

delete() method, as shown below:

$memcached->delete('key');
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Here, we use the

delete() method to delete the data named "key" from Memcached.

    Increase and decrease numerical data
Use the

increment() and decrement() methods to modify the data stored in Memcached Perform increment and decrement operations on numerical data. The syntax is as follows:

$memcached->increment('key');
$memcached->decrement('key', $decrement_value);
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Here, the

increment() method increments the numerical data named "key" by one. The decrement() method reduces the numerical data named "key" by $decrement_value.

    Memcached connection pool
If you need to manage multiple Memcached servers, you can use the connection pool. Using connection pooling, multiple servers can be accessed as a single Memcached instance, which can distribute data across different servers and improve application scalability. Multiple servers can be added using the

addServers() method, as shown below:

$servers = array(
  array('127.0.0.1', 11211),
  array('127.0.0.2', 11211),
  array('127.0.0.3', 11211)
);
$memcached->addServers($servers);
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Here, we create an array named

$servers, which contains IP address and port information of three Memcached servers. We then add these servers to the Memcached instance using the addServers() method. In this way, a single Memcached instance can be used to manage multiple Memcached servers and perform data reading and writing operations.

Summary

Memcached can greatly improve application performance, reduce database access, accelerate read and write operations, and reduce load pressure. In PHP, using Memcached is very convenient. You only need to create a Memcached instance and connect to the server, and then store and obtain data. In addition, multiple servers can be managed using connection pools, further improving application scalability and performance.

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