How to implement Redis database table splitting in PHP

With the development of Internet business, the growth of data volume has become a trend. In this context, sharding is a common method to solve big data storage problems. Table splitting can split a large table into multiple small tables, thereby achieving the purpose of decentralized data storage and improving query efficiency. Redis is a high-performance, memory-storage data structure server, in which sharding is also indispensable. The following will introduce how to use PHP to implement Redis database table partitioning.

1. Determine the table partitioning rules

Before performing table partitioning, you need to determine the table partitioning rules. Usually the sub-table can be grouped according to a certain attribute of the data, such as the modulus of ID, sub-table according to time, etc.

2. Connect to Redis database

Use PHP language to connect to Redis database and implement the following code:

$redis = new Redis();
$redis->connect('127.0.0.1', 6379);

3. Insert data

For the convenience of experiment, here we randomly generate some data and insert it into the Redis database. The code is implemented as follows:

for ($i = 1; $i <= 1000; $i++)
{
    //生成1000个随机数作为key
    $key = rand(1, 100);
    //为key生成value
    $value = "value_" . $i;
    //插入数据到Redis数据库中
    $redis->set($key, $value);
}

4. Table splitting operation

First, according to the table splitting rules, we need to group the data according to the modulo result of the key. The code is implemented as follows:

for ($i = 0; $i < 10; $i++)
{
    $redis->select($i);  //选择分表
    for ($j = 1; $j <= 100; $j++)
    {
        $keys = [];  //用于存放符合规则的key
        $cursor = null;  //游标
        while ($keysResult = $redis->scan($cursor))
        {
            $keys = array_merge($keys, $keysResult);
            if ($cursor == 0)
            {
                break;
            }
        }
        foreach ($keys as $key)
        {
            $value = $redis->get($key);
            //将数据插入到分表中
            $splitTableKey = "table_" . $i;
            $redis->select($splitTableKey);
            $redis->set($key, $value);
        }
    }
}

5. Query data

After grouping the data into multiple tables, we need to query the data. The code is implemented as follows:

for ($i = 0; $i < 10; $i++)
{
    $redis->select($i);
    $result = $redis->get("1");
    echo "table_" . $i . " : " . $result . "
";
}

6. Summary

Splitting data into tables in the Redis database can improve data storage efficiency and optimize query performance. In this article, we use PHP language to implement the table splitting operation of the Redis database, including determining table splitting rules, connecting to the Redis database, inserting data, table splitting operations, and querying data. Through the introduction of this article, I believe readers can quickly get started with the table splitting operation of the Redis database.

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