How to use Oracle database data caching and query optimization in PHP

How to use Oracle database data caching and query optimization in PHP

With the rapid development of the Internet and big data, the amount of data is becoming larger and larger, and database queries are becoming more and more complex and time-consuming. hour. In order to improve query performance and response speed, we can use caching technology for some frequently accessed data. This article will introduce how to use the data caching and query optimization of Oracle database in PHP to improve the performance and stability of the system.

1. Use Oracle's built-in caching function

Oracle database itself provides built-in caching function, which can be used by using Oracle XE (Express Edition) or Oracle Database 12c or above to fulfill. The specific operations are as follows:

(1) Create a cache table in the Oracle database to store the data that needs to be cached.

CREATE TABLE cache_table (
    key VARCHAR2(100) PRIMARY KEY,
    value VARCHAR2(1000),
    expire_time DATE
);

(2) In the PHP code, connect to the Oracle database through OCI (Oracle Call Interface), and before using the SQL statement to query the data, first query the cache table. If the data exists in the cache table and has not expired , directly returns the cached data. If it does not exist in the cache table or has expired, perform the query operation again and store the query results in the cache table for the next query.

$db_connection = oci_connect('username', 'password', 'localhost/XE');

// 查询缓存表
$cache_sql = "SELECT value FROM cache_table WHERE key = :key AND expire_time > SYSDATE";
$cache_statement = oci_parse($db_connection, $cache_sql);
oci_bind_by_name($cache_statement, ':key', $key);
oci_execute($cache_statement);

if ($cache_row = oci_fetch_array($cache_statement)) {
    $value = $cache_row['VALUE'];
} else {
    // 查询数据操作
    $data_sql = "SELECT * FROM data_table WHERE key = :key";
    $data_statement = oci_parse($db_connection, $data_sql);
    oci_bind_by_name($data_statement, ':key', $key);
    oci_execute($data_statement);
    
    // 取得查询结果
    $data_row = oci_fetch_array($data_statement);
    $value = $data_row['VALUE'];
    
    // 将查询结果存入缓存表
    $insert_sql = "INSERT INTO cache_table (key, value, expire_time) VALUES (:key, :value, SYSDATE + 3600)";
    $insert_statement = oci_parse($db_connection, $insert_sql);
    oci_bind_by_name($insert_statement, ':key', $key);
    oci_bind_by_name($insert_statement, ':value', $value);
    oci_execute($insert_statement);
}

oci_close($db_connection);

// 返回查询结果
echo $value;

2. Using PHP caching components

In addition to using Oracle's built-in caching function, we can also use PHP's caching components, such as Memcached or Redis, to implement caching. The specific operations are as follows:

(1) Install Memcached or Redis extension through PECL or through source code compilation.

(2) In the PHP code, connect to the Memcached or Redis server and use the corresponding API for caching and query operations.

// 连接到Memcached服务器
$memcached = new Memcached();
$memcached->addServer('localhost', 11211);

// 查询缓存数据
$value = $memcached->get($key);

if ($value === false) {
    // 查询数据操作
    $db_connection = oci_connect('username', 'password', 'localhost/XE');
    $data_sql = "SELECT * FROM data_table WHERE key = :key";
    $data_statement = oci_parse($db_connection, $data_sql);
    oci_bind_by_name($data_statement, ':key', $key);
    oci_execute($data_statement);
    
    // 取得查询结果
    $data_row = oci_fetch_array($data_statement);
    $value = $data_row['VALUE'];
    
    // 将查询结果存入缓存
    $memcached->set($key, $value, 3600);
    
    oci_close($db_connection);
}

// 返回查询结果
echo $value;

Through the above two methods, we can use the data caching and query optimization of the Oracle database in PHP. This can greatly improve the performance and stability of the system, reduce the load on the database, and bring a better user experience to users. Of course, when using cache, you need to pay attention to the validity period and refresh mechanism of cached data to avoid data expiration and data inconsistency.

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