Concurrency processing strategies in PHP mall development

With the continuous development of the e-commerce market, various types of online malls have gradually become people’s first choice for shopping. In the development process of these malls, how to handle concurrent requests is an issue that needs attention. As a popular programming language, PHP is also suitable for mall development. This article will introduce common concurrency processing strategies in PHP mall development.

1. Data table design

In PHP mall development, data table design is a very important link. Well-designed data tables can improve the system's concurrent processing capabilities to a certain extent. In order to ensure the accuracy and efficiency of concurrent processing, some common data table design strategies are introduced below.

1. Data table partition

For large mall systems, we can partition the data table to reduce the concurrency pressure on a single data table. The specific method is to divide the data table into multiple sub-tables according to user region, product type, etc. This can effectively shorten the query and operation time and improve the concurrent processing capability of the system.

2. Data table index

In the data table design process, indexes can be created for fields that are frequently queried and sorted to improve query speed and efficiency. At the same time, for common joint query operations, joint indexes on multiple fields can also be established.

3. Data table redundancy

In some cases, we can improve the concurrent processing efficiency of the system by adding some redundant fields. For example, in an order table, we can add a redundant field to record the total amount of all orders. In this way, every time you query the total order amount, you only need to read the value of this field instead of traversing all order records, which greatly improves the query efficiency of the system.

2. Cache design

In the PHP mall, caching technology is one of the important means to improve the system's concurrent processing capabilities. Common caching strategies are as follows:

1. Data caching

Data caching refers to storing frequently used data in memory to reduce the number of database accesses and improve system performance. Concurrent processing efficiency. Common data caching technologies include Redis, Memcached, etc.

2. Page caching

Page caching refers to caching the static part of the page and querying the database only when the dynamic part of the page changes. Common page caching technologies include Varnish, Squid, etc.

3. CDN Technology

CDN technology refers to a technology that stores static resources through multiple distributed nodes to speed up user access. CDN services commonly used in mall systems include Qiniu Cloud, Alibaba Cloud, etc.

3. Database Optimization

In the concurrent processing of PHP mall, the performance of the database is often a bottleneck that restricts system performance. Therefore, optimizing the database is one of the important means to improve the concurrent processing capability of the mall.

1. Database connection pool

Database connection pool refers to establishing multiple database connections in advance. When concurrent requests arrive, they are obtained directly from the connection pool to reduce connection and The time cost of closing the connection.

2. SQL statement optimization

SQL statements are an important means of interaction between the mall system and the database. Optimizing SQL statements can improve the query efficiency of the system. Common SQL statement optimization methods include index optimization, batch operations, paging queries, etc.

3. Separation of reading and writing

In database read and write operations, write operations are usually more time-consuming than read operations. Therefore, using read-write separation technology to allocate read operations and write operations to different database servers can improve the system's concurrent processing capabilities.

To sum up, the concurrent processing of PHP mall requires the comprehensive use of database partitioning, indexing, redundancy and cache design, database optimization and other strategies to ensure the performance and availability of the system. Our goal is to improve the system's processing speed and throughput while ensuring the accuracy of concurrent processing, so that users can enjoy a more convenient and smoother experience when shopping online.

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