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Optimizing OpenCart Database

Optimizing OpenCart Database | Opencart Help.
Optimizing OpenCart Database | Opencart Help.
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Optimizing OpenCart Database | Opencart Help.
Optimizing OpenCart Database | Opencart Help.

Specifications

Compatibility
СовместимостьOpencart 3.0.3.3, Opencart 3.0.3.2, Opencart 3.0.3.1, OpenCart 3.0.2.0, OpenCart 3.0.1.3, OpenCart 3.0.1.2, OpenCart 3.0.1.1, OpenCart 3.0.0.0, Opencart 2.3.0.2, Opencart 2.3.0.1, Opencart 2.3.0.0, OpenCart 2.2.0.0, OpenCart 2.1.0.2, OpenCart 2.1.0.1, OpenCart 2.0.3.1, OpenCart 2.0.2.0, OpenCart 2.0.1.1, OpenCart 2.0.1.0, OpenCart 2.0.0.0
Optimizing OpenCart Database
    Products Sold: 1
    Product Views: 1866
    300 ₽

    Available Options

    Verified add-ons
    We are testing modules
    No keys
    No domain binding

    Description

    The only purpose, installing this plugin is to enhance
    OpenCart database performance (for both users and administrators). This will reduce the page generation time by several conditions depending on the server hardware and the amount of data (products / categories / orders) in the database.

    Many OpenCart performance / optimization extensions target content caching techniques that only mask real problems. Our extension actually deals with database optimizations that reduce the memory and / or processor power requirements of the database.

    What are database indexes and why do I need them?

    When you want to find information in a book, the quickest way is to search for a word or phrase at the end of the book. Once you find it, you will find out on which page (or pages) the information you need is located. The alternative is to go through all the pages and it takes a long time. Database indexes are used in a similar way, they provide information about where the requested information is located.

    How is it done

    Opencart makes many different database queries. Before developing indexes, we detect and analyze slow-running queries. Each index is created for a specific query and checked to make sure it makes sense. If applicable, we will create indexes that combine acceleration tables, query filters, and aggregate functions at the same time.

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