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How to implement Memcached database table partitioning in PHP

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2023-05-15 21:52:34854browse

As the scale of Internet users continues to grow, the concurrent volume of Web applications has also shown a rapid growth trend. Web developers will encounter many performance bottlenecks when developing high-concurrency Web applications, among which database access is one of the most common problems. To address this problem, Memcached database is widely used to optimize high-concurrency web applications.

Memcached is a high-performance memory caching system that is usually used to solve the performance problem of large-scale web applications accessing databases. Traditional database systems use relational models, which require a large number of associated queries when processing large amounts of data, resulting in slow query speeds. The Memcached database uses key-value pairs to store data, which does not require complex associated queries and can greatly improve the speed of data queries and updates.

However, with the gradual expansion of the scale of Web applications, a single Memcached database can no longer meet the storage and access needs of large-scale data. In order to solve this problem, we need to divide the Memcached database into multiple tables so that each table only stores a part of the data, thereby improving the performance and concurrency of the database. Next, we will introduce how to use PHP to implement Memcached database table partitioning.

  1. The principle of Memcached table partitioning

The principle of dividing the Memcached database into multiple tables is actually very simple. Suppose we have 1,000 pieces of data that need to be stored in the Memcached database. We can divide these 1,000 pieces of data into 10 tables, each table storing 100 pieces of data. When we access certain data, we first obtain the table where the data is located through a hash algorithm, and then search for the required data in the table. This method is more efficient than a single Memcached database in both data storage and querying.

  1. How to implement Memcached table sharding in PHP

Let’s take a look at how to use PHP to implement Memcached sharding. First, we need to install the Memcached extension for PHP. For specific installation methods, please refer to relevant documents.

After the installation is complete, we can connect to the Memcached database through the following code:

$memcache = new Memcached();
$memcache->addServer('localhost', 11211);

Then, we need to define a hash function for mapping key values ​​to each table. We can use PHP's built-in crc32 function as the hash function. The code is as follows:

function hash_table($key, $total_tables)
{
    return abs(crc32($key)) % $total_tables;
}

Among them, $key represents the key value, and $total_tables represents the total number of tables that need to be divided.

Next, we can define a get_value function to get data from the Memcached database. In this function, we first get the number of the table to be queried through the hash function, and then find the required data in the table. The code is as follows:

function get_value($key)
{
    global $memcache;
    $total_tables = 10;  // 总共划分的表数量
    $table_id = hash_table($key, $total_tables);  // 计算表的编号
    $table_key = "table_" . $table_id;  // 构建表的键名
    $table_data = $memcache->get($table_key);  // 从表中查找数据
    if ($table_data === false) {  // 如果表中没有数据,返回空
        return null;
    }
    return isset($table_data[$key]) ? $table_data[$key] : null;  // 如果表中有数据,返回对应的值
}

We can also define a set_value function to store data in the Memcached database. In this function, we first get the number of the table that needs to be stored through the hash function, and then store the data in the table. The code is as follows:

function set_value($key, $value)
{
    global $memcache;
    $total_tables = 10;  // 总共划分的表数量
    $table_id = hash_table($key, $total_tables);  // 计算表的编号
    $table_key = "table_" . $table_id;  // 构建表的键名
    $table_data = $memcache->get($table_key);  // 从表中查找数据
    if ($table_data === false) {  // 如果表中没有数据,创建一个新的表
        $table_data = array();
    }
    $table_data[$key] = $value;  // 向表中添加数据
    $memcache->set($table_key, $table_data);  // 将表存储到Memcached数据库中
}

At this point, we have completed the method of using PHP to implement Memcached database table partitioning. When we need to query or update the Memcached database, we only need to call the corresponding get_value or set_value function.

  1. Summary

Memcached database is a high-performance caching system that can greatly improve the concurrency capabilities of web applications. When the scale of web applications gradually expands, in order to meet the storage and access needs of large-scale data, we can divide the Memcached database into multiple tables. The method of implementing Memcached database table partitioning through PHP can effectively solve the performance problem of large-scale web applications accessing the database.

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