ThinkPHP6 code optimization tips: improve code execution efficiency

ThinkPHP6 code optimization skills: improve code execution efficiency

In the development process, how to optimize the code can improve the execution efficiency of the program and better respond to user requests? ? This article will introduce some optimization techniques for the ThinkPHP6 framework to help developers improve code execution efficiency.

1. Try to use native queries

During the development process, we can use the query constructor or query object provided by the ThinkPHP6 framework to build database queries. However, in some specific scenarios, using native SQL statements may be more efficient. The execution speed of native SQL statements is faster than using the query builder, because native SQL statements do not need to be converted by the ORM mapping layer and directly execute database queries.

For example, if we need to query the user information with id 1, we can use the following two methods:

1. Use the query constructor:

$user = Db:: name('user')->where('id', 1)->find();

2. Use native query:

$user = Db::query( 'SELECT * FROM user WHERE id = 1');

In the case of simple queries, using native queries can improve query efficiency.

2. Use cache to improve access speed

ThinkPHP6 framework provides rich cache support, which can effectively reduce the number of database queries and improve code execution efficiency. We can use cache to store some frequently requested data to avoid querying the database every time it is accessed.

For example, if we need to obtain all user information, and this information will not change for a period of time, we can cache the query results and obtain the data directly from the cache next time to avoid repeated queries to the database.

$userList = Cache::get('user_list');
if (empty($userList)) {

$userList = Db::name('user')->select();
Cache::set('user_list', $userList, 3600); //缓存时间为1小时

}
//Use $userList for subsequent operations

By rationally using cache, you can effectively reduce database access and improve code execution efficiency.

3. Avoid multiple nested queries

Multiple nested queries are a common performance bottleneck. When writing code, try to avoid using multiple nested queries, especially within loops. If there are multiple nested queries in the loop, the query will be executed once in each loop, which greatly reduces the execution efficiency of the code.

For example, we need to query the number of orders for each user, which can be achieved in the following two ways:

1. Nested query method:

$users = Db: :name('user')->select();
foreach ($users as &$user) {

$orders = Db::name('order')->where('user_id', $user['id'])->select();
$user['order_count'] = count($orders);

}

2. Use related query method:

$users = Db::name('user')->alias('u')->join('order o', 'u.id = o.user_id')->field( 'u.*, COUNT(o.id) as order_count')->group('u.id')->select();

Multiple queries can be merged into One line greatly improves the execution efficiency of the code.

4. Reasonable use of indexes

Database index is an important means to improve query efficiency. In the ThinkPHP6 framework, we can optimize database queries by adding indexes.

During the development process, you should choose to add indexes reasonably based on the actual situation to avoid adding too many or too few indexes. Too many indexes will increase database storage space and maintenance costs, while too few indexes will reduce query efficiency.

For example, if we need to query user information based on the user's mobile phone number, we can add an index to the phone field of the user table:

ALTER TABLE user ADD INDEX index_phone (phone);

By rationally using indexes, the performance of database queries can be improved.

5. Minimize file read and write operations

During the development process, minimize file read and write operations and avoid frequent access to the file system, which can improve code execution efficiency.

For example, if we need to write a piece of text to a log file, we can first store the log content in memory and then write it to the log file in batches, instead of opening and closing the file each time it is written.

$logContent = 'Some log content';
$logBuffer = Cache::get('log_buffer');
if (empty($logBuffer)) {

$logBuffer = '';

}
$logBuffer .= $logContent;
if (strlen($logBuffer) > 1024) {

$logFile = fopen('log.txt', 'a+');
fwrite($logFile, $logBuffer);
fclose($logFile);
$logBuffer = '';

}
Cache::set('log_buffer', $logBuffer);

By caching log content in memory, you can reduce file read and write operations and improve code execution efficiency.

Summary:

By rationally using native queries, caching, avoiding multiple nested queries, rationally using indexes, reducing file read and write operations and other optimization techniques, we can improve the execution efficiency of the code. , to better respond to user requests. In actual development, optimization based on specific business and code scenarios can further improve the performance and efficiency of the code.

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