Mage-OS EAV Debug Views

Developer utility module for Magento 2.4.x that creates database views aggregating EAV entity data with attribute values in JSON format.

Important

This module is designed for development and debugging.

While production-installable, consider these factors:

• Database views may impact performance on large datasets
• JSON aggregation is resource-intensive for complex queries
• Intended for temporary debugging, not permanent production use
• No query optimization beyond entity_id lookups

Suggested Use: Install in development/staging only. Do not write code that would use these views on a live site.

Requirements

• Magento: 2.4.x
• PHP: 8.1+
• Database: MySQL 5.7+ or MariaDB 10.2.3+
  • Requires MySQL JSON function support

Installation

composer require --dev mage-os/module-eav-debug-views
bin/magento setup:upgrade

Created Views

1. dev_product

Combines catalog_product_entity with all EAV attributes aggregated as JSON.

Columns:

• All catalog_product_entity columns (entity_id, sku, type_id, etc.)
• eav_attributes (JSON) - All EAV attribute values from decimal, datetime, int, text, varchar tables

Example Query:

SELECT
    entity_id,
    sku,
    type_id,
    JSON_PRETTY(eav_attributes) as attributes
FROM dev_product
WHERE sku = 'my-product-sku';

Extract Specific Attributes:

SELECT
    entity_id,
    sku,
    JSON_EXTRACT(eav_attributes, '$.name') as name,
    JSON_EXTRACT(eav_attributes, '$.price') as price,
    JSON_EXTRACT(eav_attributes, '$.status') as status
FROM dev_product
WHERE entity_id = 1;

2. dev_category

Combines catalog_category_entity with EAV attributes.

Columns:

• All catalog_category_entity columns (entity_id, path, level, etc.)
• eav_attributes (JSON) - All EAV attribute values from decimal, datetime, int, text, varchar tables

Example Query:

SELECT
    entity_id,
    parent_id,
    path,
    level,
    JSON_EXTRACT(eav_attributes, '$.name') as name,
    JSON_EXTRACT(eav_attributes, '$.is_active') as is_active
FROM dev_category
WHERE level = 2;

3. dev_customer

Combines customer_entity with EAV attributes.

Columns:

• All customer_entity columns (entity_id, firstname, lastname, email, etc.)
• eav_attributes (JSON) - All EAV attribute values from decimal, datetime, int, text, varchar tables

Example Query:

SELECT
    entity_id,
    email,
    firstname,
    lastname,
    JSON_PRETTY(eav_attributes) as custom_attributes
FROM dev_customer
WHERE email LIKE '%@example.com';

4. dev_address

Combines customer_address_entity with EAV attributes.

Columns:

• All customer_address_entity columns (entity_id, firstname, lastname, street, city, etc.)
• eav_attributes (JSON) - All EAV attribute values from decimal, datetime, int, text, varchar tables

Example Query:

SELECT
    entity_id,
    parent_id,
    city,
    country_id,
    JSON_PRETTY(eav_attributes) as custom_attributes
FROM dev_address
WHERE parent_id = 1;

5. dev_product_attribute

Quick reference for product attribute metadata.

Columns:

• All eav_attribute columns (attribute_id, attribute_code, etc.)
• All catalog_eav_attribute columns (is_searchable, is_filterable, used_in_product_listing, etc.)
• attribute_sets (JSON) - All attribute sets and groups the attribute is assigned to, including IDs, names, and sort order.
• @TODO: Add eav_options with all option IDs and values for DB-stored select and multiselect-type attributes.

Example Query:

SELECT
    attribute_id,
    attribute_code,
    backend_type,
    frontend_input,
    is_filterable,
    is_searchable,
    position,
    attribute_sets
FROM dev_product_attribute
WHERE is_filterable=1
ORDER BY attribute_code;

Store Scope

All EAV views aggregate all store_id values into a single JSON object per entity.

Store-specific attribute keys use the format attribute_code:store_id (e.g., name:1, name:2). Global attributes (store_id = 0) use just the attribute_code (e.g., name, sku).

Example - Querying store-specific values:

-- Get product with global and store-specific names
SELECT
    entity_id,
    sku,
    JSON_EXTRACT(eav_attributes, '$.name') as global_name,
    JSON_EXTRACT(eav_attributes, '$.\"name:1\"') as store_1_name,
    JSON_EXTRACT(eav_attributes, '$.\"name:2\"') as store_2_name
FROM dev_product
WHERE sku = 'my-product';

-- See all attribute values including store-specific
SELECT
    entity_id,
    sku,
    JSON_PRETTY(eav_attributes) as all_attributes
FROM dev_product
WHERE entity_id = 1;

For technical reasons, we can't sort attributes alphabetically. Scoped values for an attribute may appear anywhere within the JSON. (MySQL does not support sorting values within JSON_OBJECTAGG(...) in ONLY_FULL_GROUP_BY mode.)

Performance Considerations

Query Optimization

If filtering by attribute values, be careful about the amount of records processed.

Fast:

-- Uses entity table index
SELECT * FROM dev_product WHERE entity_id = 123;
SELECT * FROM dev_product WHERE sku = 'ABC123';

Not fast:

-- Full table scan with JSON parsing
SELECT * FROM dev_product
WHERE JSON_EXTRACT(eav_attributes, '$.status') = 1;

View Characteristics

• NOT materialized - Data is queried live from base tables
• NOT indexed - Uses base table indexes via entity_id
• CTE overhead - 5 subqueries per entity type
• JSON aggregation - Processing cost on SELECT

Recommendation: Use for ad-hoc debugging queries, not high-frequency production queries.

Uninstallation

bin/magento module:uninstall MageOS_EavDebugViews --remove-data

This command:

1. Drops all module views from the database
2. Removes module from setup_module table
3. Removes module code (if installed via composer)

Use Cases

Quick Product Debugging

-- See all attributes for a specific product
SELECT entity_id, sku, JSON_PRETTY(eav_attributes)
FROM dev_product
WHERE sku = 'problematic-sku';

Find Products with Specific Attribute Values

-- Find disabled products
SELECT entity_id, sku,
       JSON_EXTRACT(eav_attributes, '$.status') as status
FROM dev_product
HAVING status = 2;  -- Disabled

Attribute Discovery

-- What attributes exist for products?
SELECT attribute_code, frontend_input, is_required
FROM dev_eav_attributes
WHERE entity_type_code = 'catalog_product'
  AND is_user_defined = 1;

Category Hierarchy Analysis

-- View category tree with names
SELECT
    entity_id,
    level,
    path,
    JSON_EXTRACT(eav_attributes, '$.name') as name,
    JSON_EXTRACT(eav_attributes, '$.is_active') as active
FROM dev_category
WHERE level BETWEEN 1 AND 3
ORDER BY path;

License

Open Software License (OSL-3.0)

Contributing

Issues and pull requests welcome on GitHub.

Support

This is a community-maintained developer utility. No support or warranty implied. Use at your own risk.

For bugs or feature requests, please open an issue in the GitHub repository.