Custom PIM for 1C-Bitrix: From Attributes to Syndication

Our company is engaged in the development, support and maintenance of Bitrix and Bitrix24 solutions of any complexity. From simple one-page sites to complex online stores, CRM systems with 1C and telephony integration. The experience of developers is confirmed by certificates from the vendor.
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Custom PIM for 1C-Bitrix: From Attributes to Syndication
Medium
~1-2 weeks
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Imagine a catalog of 15,000 products, each with 60 unique attributes. Standard information blocks become slow, administrators lack flexibility, and marketplace integration turns into a nightmare. We have built 15 custom PIM systems on 1C-Bitrix and completed over 30 implementations. Custom PIM solves these problems without switching to third-party software—Bitrix becomes the single master system for product data. Product Information Management (PIM) is an approach we adapt to the 1C-Bitrix ecosystem, preserving fast implementation and no license fees. As stated in the 1C-Bitrix documentation, infoblock v2.0 supports the EAV model, but for scalability we use a hybrid approach.

How is the data architecture organized?

The standard infoblock stores properties in b_iblock_element_property using the EAV model. With 50+ attributes and high traffic, this causes performance issues. For a custom PIM, we use a hybrid approach: fixed attributes (name, description, images) in infoblock fields, and dynamic attributes in custom tables.

CREATE TABLE b_pim_attribute (
    ID INT AUTO_INCREMENT PRIMARY KEY,
    IBLOCK_SECTION_ID INT,
    CODE VARCHAR(100) NOT NULL,
    NAME VARCHAR(255) NOT NULL,
    TYPE ENUM('string','number','boolean','list','multilist') DEFAULT 'string',
    IS_REQUIRED TINYINT(1) DEFAULT 0,
    IS_FILTERABLE TINYINT(1) DEFAULT 0,
    SORT INT DEFAULT 100,
    INDEX idx_section (IBLOCK_SECTION_ID)
);

CREATE TABLE b_pim_attribute_value (
    ID INT AUTO_INCREMENT PRIMARY KEY,
    PRODUCT_ID INT NOT NULL,
    ATTRIBUTE_ID INT NOT NULL,
    VALUE_STRING VARCHAR(1000),
    VALUE_NUMBER DECIMAL(15,4),
    VALUE_BOOLEAN TINYINT(1),
    INDEX idx_product_attr (PRODUCT_ID, ATTRIBUTE_ID)
);

CREATE TABLE b_pim_attribute_option (
    ID INT AUTO_INCREMENT PRIMARY KEY,
    ATTRIBUTE_ID INT NOT NULL,
    VALUE VARCHAR(500) NOT NULL,
    SORT INT DEFAULT 100
);

This approach allows setting attributes at the category level without modifying the infoblock schema. See CommerceML for more details.

How to start: three steps

  1. Design the attribute schema: define fixed and dynamic attributes for each category. We prepare a table prototype.
  2. Deploy custom tables: run migrations to create b_pim_attribute, b_pim_attribute_value, and indexes.
  3. Set up the administrative interface: use our component based on bitrix:main.ui.grid to manage attributes.

This process takes 2–3 days for an experienced developer.

Why custom PIM is better than off-the-shelf solutions?

Custom PIM on Bitrix is implemented 2–3 times faster than Akeneo Enterprise and requires no license fees. Cost comparison:

Criterion Custom PIM on Bitrix Akeneo / Pimcore
License cost $0 (included in ecosystem) From $20,000–$50,000 per year
Implementation time 2–8 weeks 3–6 months
Flexibility for specific needs Maximum Limited by API
Performance up to 100k SKUs Excellent Depends on server

License savings can reach $15,000–$30,000 per year, covering development costs in the first year.

Example YML feed generation
function buildYmlOffer(int $productId): array
{
    $connection = \Bitrix\Main\Application::getConnection();
    $values     = $connection->query(
        "SELECT a.CODE, v.VALUE_STRING, v.VALUE_NUMBER
         FROM b_pim_attribute_value v
         JOIN b_pim_attribute a ON a.ID = v.ATTRIBUTE_ID
         WHERE v.PRODUCT_ID = {$productId}"
    );
    $params = [];
    while ($row = $values->fetch()) {
        $params[$row['CODE']] = $row['VALUE_STRING'] ?? $row['VALUE_NUMBER'];
    }
    return $params;
}

How we implement the attribute management interface

A custom admin section based on the bitrix:main.ui.grid component:

// /local/modules/company.pim/admin/attributes.php
require_once $_SERVER['DOCUMENT_ROOT'] . '/bitrix/modules/main/include/prolog_admin_before.php';

$APPLICATION->SetTitle('PIM: Attribute Management');

$sectionId = (int)$_GET['section_id'];
$connection = \Bitrix\Main\Application::getConnection();
$attributes = $connection->query(
    "SELECT * FROM b_pim_attribute WHERE IBLOCK_SECTION_ID = {$sectionId} ORDER BY SORT"
);

The interface allows managers to:

  • Add attributes to a category without changing the database structure
  • Set type, required, and filterable options
  • Sort attributes by drag and drop
  • Copy attribute sets to child categories

The product edit form displays dynamic attributes of the current category. Validation of required attributes is performed upon save.

Syndication to multiple channels

Custom PIM exports data in formats: Yandex.Market (YML), Ozon, Wildberries (JSON), Google Merchant. The feed generation example is shown above.

What is included in the work?

  • Technical specification and data schema prototype
  • Core functionality development (tables, edit form, validation)
  • Custom administrative interface with sorting and attribute copying
  • Exporters for marketplaces (YML, JSON, XML)
  • Documentation and source code delivery
  • Administrator training on the system
  • One-month warranty support

Process and timelines

Stage Duration Result
Analysis and design 3–5 days Technical specification, schema prototype
Core functionality development 2–3 weeks Tables, edit form, save logic
Validation and UI improvements 1–2 weeks Custom admin panel, sorting, copying
Syndication and bulk editing 2–3 weeks Exporters, bulk edit
Testing and documentation 1 week Load test report, documentation

Total duration: 2 to 8 weeks depending on scope. Contact us for an accurate estimate of your project.

How we test performance

We conduct load testing with ab and jmeter, simulating 500 concurrent requests. We check YML feed generation time (under 10 seconds for 50,000 products). If needed, we add tagged caching.

Typical mistakes in development

  • Using only infoblock properties (EAV) for all attributes—causes slowdowns in mass queries.
  • Not creating indexes on custom tables—queries slow down already at 10,000 products.
  • Forgetting asynchronous attribute saving—blocks the interface during editing.

Order development

We will evaluate your project in one day and prepare a commercial proposal with precise timelines. Get an engineer's consultation—send us a message.

1C-Bitrix Module Development and Setup

The main trap of Bitrix is init.php. You add an OnBeforeIBlockElementUpdate handler there, then another one — a year later the file is 2000 lines, and on every hit all that code executes. We move business logic into full-fledged modules with D7 ORM, custom tables, and administrative interface. The module can be disabled, transferred to another project, covered with tests — none of that is possible with init.php. Our team has 10+ years of Bitrix experience, certified specialists, and a 6-month code guarantee. Request a consultation — we'll explain how to migrate legacy code to a modular architecture.

Why is init.php the worst place for business logic?

Init.php does not support class autoloading, lacks an isolated namespace, cannot be unit tested, and cannot be disabled without editing the file itself. Every handler written there runs on every request, even if not needed. In a module, you register handlers through EventManager, and they only execute when the event occurs. Performance difference: up to 3x with 10+ handlers.

Standard Modules: Typical Problems and Solutions

Information blocks. IBlock architecture is the first thing we review on any project. A classic mistake: one catalog infoblock with 80 properties, 30 of which are multiple. The b_iblock_element_property table swells to millions of rows, and CIBlockElement::GetList with filtering on three properties does a full scan. We move reference data to Highload-blocks, eliminate multiple properties where possible, and design the structure for 5x growth.

e-Store (sale). Cart business rules are a separate story. We set discount priorities to prevent two campaigns from giving 60% instead of 30%, connect payment handlers, and write custom validation via OnSaleOrderBeforeSaved.

Search. The built-in search module with morphology works up to 10–15 thousand elements. Beyond that — Elasticsearch. We configure it via the Bitrix search module API, indexing through CSearchFullText or custom indexers.

Highload-blocks for dictionaries, logs, user data — instead of bloated IBlocks. Direct queries via Bitrix\Highloadblock\HighloadBlockTable, custom tables instead of the EAV structure of standard infoblocks. A million records — no degradation.

Mail events. Configuration is not just templates in b_event_message. The key is SPF, DKIM, DMARC on the DNS, otherwise transactional emails go to spam. We check deliverability and set up bounce handling.

How to Design Infoblocks for Performance?

We use Highload-blocks for reference data (colors, sizes, manufacturers) that are not involved in complex queries. For SKUs — a separate infoblock with linking via IBLOCK_ELEMENT_PROPERTY. Enable INDEX_PROPERTY for frequently filtered properties. Tagged caching: when an element changes, only the related cache is cleared. Highload-blocks process up to 10x faster than infoblocks with multiple properties on volumes of 100,000 records.

Custom Module Development

Each module follows the structure /local/modules/vendor.modulename/:

  • install/index.php — setup class, create tables via $DB->RunSQLBatch()
  • lib/ — D7 ORM classes, extending Bitrix\Main\ORM\Data\DataManager
  • admin/ — administrative pages using CAdminList, CAdminForm
  • include.php — autoloading, event handler registration via EventManager::getInstance()->registerEventHandler()
  • REST API endpoints via \Bitrix\Rest\RestManager

The module registers in the system, appears in the "Installed Solutions" list, and has its own settings at /bitrix/admin/settings.php?mid=vendor.modulename. It can be enabled, disabled, and updated through UpdateSystem or custom migration mechanics.

Examples of implemented tasks:

  • Campaign management — visual condition builder via CAdminCalendar, timers via agents (CAgent::AddAgent), analytics linked to the sale module
  • Cost calculator — React widget on the frontend, REST API in the module, formulas stored in a Highload-block
  • Booking system — real-time calendar, locking via $DB->StartTransaction() / $DB->Commit() on concurrent requests, integration with channel manager via webhook

Components and Composite Cache

Component customization via result_modifier.php and component_epilog.php, not by editing template.php of the standard template. This way core updates are painless.

Composite cache ("Composite Site" technology) — the server sends ready HTML, bypassing PHP routing. Dynamic areas (cart, authorization) are loaded via CBitrixComponent::setFrameMode(true) and AJAX. TTFB drops to 30–50 ms. But there are caveats: not all components are compatible, $APPLICATION->ShowPanel() breaks composite, and careful markup of <div id="bx-composite-..."> is required.

What to Check Before Installing a Marketplace Module?

Before installing a module from the marketplace, an audit is mandatory. We check: SQL queries without prepared statements (hello SQL injection), direct use of $_REQUEST without filtering, use of outdated kernel API instead of D7, conflicts with the composite cache module. A module with no updates for over a year and a few dozen installations is likely a problem on the next PHP update. A typical case: a module calls CIBlockElement::GetList with no cache reset — the site crashes with 5000 elements.

Migration to D7

When upgrading PHP or switching to a new edition — refactor outdated calls:

  • CIBlockElement::GetList()Bitrix\Iblock\Elements\ElementTable::getList()
  • CSaleOrder::GetList()Bitrix\Sale\Order::getList()
  • CModule::IncludeModule()Bitrix\Main\Loader::includeModule() Testing on staging, rollback via git on issues.

According to official 1C-Bitrix documentation, D7 ORM is the recommended tool for working with data, providing type safety and automatic query generation.

Comparison: Init.php vs Module

Criterion Init.php Module with D7 ORM
Performance Executes on every hit Executes only on event
Testability No autoloading, tests impossible Full PHPUnit support
Maintainability Codebase grows uncontrollably Isolated structure, versioning
Migrations None Custom tables, managed via install
Caching Does not support auto-invalidation Tagged caching, event-based clearing

Module Development Scope and Cost

What is included in module development?

  • Technical specification and architectural plan
  • Code following PSR-4 and Bitrix code style
  • Unit tests (PHPUnit) for business logic
  • Integration tests for events and REST API
  • Installation, configuration, and API documentation
  • Repository and documentation access
  • Administrator training for module usage
  • 6-month warranty support

Estimated timelines and complexity:

Complexity Examples Timeline
Simple Callback widget, banner system, simple calculator 3–5 days
Medium Booking system, product configurator, review module with moderation 1–2 weeks
Complex Multi-regionality, custom loyalty program, ERP integration 2–4 weeks
Enterprise Marketplace platform, complex business processes with multiple roles 1–3 months

Cost is calculated individually — contact us for a project estimate.

Module Testing

Unit tests via PHPUnit cover business logic: discount calculation, validation, document generation. Mocks for Bitrix\Main\Application::getConnection() allow tests to be DB-independent. Integration tests verify event handlers on a real database — OnAfterIBlockElementAdd, OnSaleOrderSaved, etc. REST API endpoints are tested via curl or PHPUnit HTTP client. Critical for modules working with b_sale_order, b_catalog_price — where errors cost money.

Compatibility is checked on PHP 7.4, 8.0, 8.1, 8.2 and editions: Standard, Small Business, Business. We check conflicts with popular marketplace modules — they often intercept the same events. Load testing: measurements on 10K, 100K, 1M records, profiling via Xdebug for memory leaks and N+1 queries.

Practical Examples

Campaign module for an electronics chain. The built-in sale module discounts did not cover scenarios like "2+1", a gift with purchase over a certain amount, or combined conditions. We built a visual builder: marketers create rules via drag-and-drop without development tickets. Campaign calendar, auto-deactivation via agents, analytics linked to b_sale_order — conversion, average check, usage count. Time to launch a new campaign dropped from two days to half an hour.

Calculator for builders. Parameters (area, materials, number of floors) → formula → preliminary estimate → lead to CRM via CRest::call('crm.lead.add'). Regional coefficients and seasonal markups from a Highload-block, material prices from 1C exchange. The number of target leads increased by a third: clients see a breakdown before calling a manager.

Booking for a hotel chain. Real-time availability via AJAX requests to a custom table vendor_booking_slots, seasonal tariff calculation, synchronization with Booking.com via channel manager API. Room locking on concurrent booking via SELECT ... FOR UPDATE in transactions. Timezones handled via \DateTimeZone — a guest from Vladivostok and a manager from Moscow see the same picture.

We will evaluate your project within one day. Write to us — we'll tell you what is included in turnkey development. Contact us for a consultation on your project. Order a custom module development — get a ready solution with documentation and support.