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What are the implementation methods of distributed data storage technology in PHP7.0?

May 27, 2023 am 08:31 AM
Distributed, data storage, php

What are the implementation methods of distributed data storage technology in PHP7.0?

In modern Internet applications, data is crucial. As the traffic of websites or applications continues to increase, traditional stand-alone storage can no longer meet the demand. Therefore, distributed storage technology has gradually become mainstream. As a mainstream website development language, PHP7.0 also provides a variety of distributed data storage solutions. This article will introduce the implementation of distributed data storage technology in PHP7.0.

  1. Memcached

Memcached is a high-performance memory object caching system for caching. It can store any type of data, including pictures, videos, HTML documents, etc., and improves website performance by reducing access to the database. It is a caching service that is very suitable for distributed deployment. In PHP, we can do this by using the memcache extension. For example, you can use the following code to write a string to the cache:

<?php
$mem = new Memcache;
$mem->connect('localhost', 11211);
$mem->set('key', 'This is a value');
$val = $mem->get('key');
echo $val;
?>
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  1. Redis

Redis is a memory-based nosql database that supports a variety of data Structures, such as strings, hash tables, lists, etc., and provide complete transaction, persistence, replication and other functions. Redis has become a very popular caching solution due to its efficiency and reliability. In PHP, we can interact with Redis using the phpredis extension. For example, you can use the following code to write a string to the cache:

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

$redis->set('key', 'This is a value');
$val = $redis->get('key');
echo $val;
?>
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  1. MongoDB

MongoDB is an open source document-based NoSQL database that uses JSON format to store data. It is particularly good at storing large amounts of data and searching large amounts of documents, and can be easily expanded and distributed. In PHP, we can operate MongoDB by using the mongodb extension. For example, you can use the following code to write a record to the database:

<?php
$manager = new MongoDBDriverManager("mongodb://localhost:27017");

$bulk = new MongoDBDriverBulkWrite;
$doc = ['_id' => new MongoDBBSONObjectID, 'name' => 'Alice', 'age' => 25];
$bulk->insert($doc);

$manager->executeBulkWrite('test.users', $bulk);

$query = new MongoDBDriverQuery([]);

$rows = $manager->executeQuery('test.users', $query);

foreach ($rows as $row) {
    echo $row->name . "
";
}
?>
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  1. Cassandra

Cassandra is a very efficient distributed NoSQL database due to its ability to handle large data and supports multiple data centers and automatic failure recovery. PHP provides the phpcassa extension, which can interact with Cassandra. For example, you can use the following code to write a record to the database:

<?php
require_once('phpcassa/lib/autoload.php');
use phpcassaColumnFamily;
use phpcassaConnectionConnectionPool;
use phpcassaColumnFamily;
use phpcassaSystemManager;

$sys = new SystemManager('localhost:9160');
$ksdef = new phpcassaCassandraSystemSchemaKeyspace('test', 1, array(
     "strategy_options" => array("replication_factor" => "1"),
     "strategy_class" => "SimpleStrategy",
     "column_families" => array(
         array(
             "name" => "users",
             "comparator_type" => "LongType",
             "key_validation_class" => "LongType",
             "column_type" => "Standard",
             "default_validation_class" => "LongType",
             "key_cache_size" => 1000,
             "row_cache_size" => 1000
         )
     )
));

$sys->createKeyspace($ksdef);

$pool = new ConnectionPool('test', array('localhost:9160'));

$cf = new ColumnFamily($pool, 'users');

$cf->insert(1, array('name' => 'Alice', 'age' => 25));

$res = $cf->get(1);
echo $res['name'];
?>
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Summary

PHP7.0 provides a variety of distributed data storage technologies, such as Memcached, Redis, MongoDB and Cassandra, etc. Developers can choose according to their own application scenarios. It should be noted that these technologies need to be used with caution and should be selected and configured according to their actual needs to give full play to their performance and stability.

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