The database structure of Magento is designed to store and manage various aspects of an e-commerce website, including products, orders, customers, and more.
Understanding the Magento database structure is crucial for developers and administrators working with Magento.
Magento uses the Entity-Attribute-Value (EAV) database model, which allows for flexible and extensible data storage. Here’s a brief overview of key components in the Magento database structure:
core_config_data
for configuration settings and core_store
for store-related information.eav_entity
, eav_attribute
, and tables related to specific entities like catalog_product_entity
for products and customer_entity
for customers.catalog_product_entity
contains basic product information, while catalog_product_entity_varchar
stores varchar-type attribute values for products.sales_order
and sales_order_item
store information related to orders. The structure allows for detailed tracking of each item within an order.customer_entity
and customer_address_entity
store customer-related information. The EAV model is used to accommodate various customer attributes.catalog_product_index_price
and catalog_category_product_index
, store precomputed values to speed up common queries.report_event
and log_visitor
. These tables store data related to customer activity, reports, and system logs.review
and rating
store information related to product reviews and ratings.When working with the Magento Framework, developers interact with the database using models. Models in Magento are PHP classes that map to database tables, making it easier to retrieve, update, and manipulate data. The framework also includes a Resource Model layer that abstracts the database interaction, providing a consistent and secure way to perform CRUD (Create, Read, Update, Delete) operations.
The Magento database structure follows the EAV model for flexibility, with dedicated tables for core configuration, catalogue, sales, customer data, and more. The Magento Framework provides models and resource models to interact with the database, making it easier for developers to work with the data within the application.
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