Tecdoc Mysql New Best

Technical White Paper: Implementing the TecDoc Database Structure in MySQL

Subject: Migration, Optimization, and Management of TecDoc Data in a MySQL Environment Target Audience: Backend Developers, Database Administrators, Automotive Software Engineers.

4.2 The LOAD DATA Command

This is the fastest way to ingest TecDoc data. tecdoc mysql new

LOAD DATA LOCAL INFILE '/path/to/TOOF_ARTICLES.txt'
INTO TABLE articles
FIELDS TERMINATED BY ';' 
OPTIONALLY ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
(art_id, @supplier_id, art_nr, @var_date)
SET supplier_id = TRIM(@supplier_id), 
    art_nr = UPPER(TRIM(@art_nr));

What is TecDoc?

TecDoc is the global standard for vehicle spare parts data. Managed by TecAlliance, it contains structured information on over 7 million spare parts, covering: What is TecDoc

  • Passenger cars, trucks, motorcycles
  • Original Equipment (OE) numbers
  • Cross-references between brands
  • Product attributes (dimensions, material, placement on vehicle)

Traditionally, TecAlliance delivers this data in formats like: and disk I/O.

  • TecDoc XML / JSON (modern API-based)
  • EDP / SQL dumps (for local databases)
  • TecDoc DVD / CD (legacy)

TecDoc & MySQL: Building a Modern Parts Catalog Backend

TecDoc is a widely used automotive parts data standard and dataset that powers parts catalogs, fitment lookup, and aftermarket parts e‑commerce. This post shows how to design and implement a performant MySQL-based backend for serving TecDoc-style data, suitable for catalog search, fitment checks, and API use by web/apps.

1. The New Schema Structure (MySQL 8.0 Compatible)

Older TECDOC MySQL ports (circa 2018-2021) suffered from poor indexing. The new schema utilizes:

  • Window Functions: For ranking OE numbers by relevance.
  • Common Table Expressions (CTEs): To handle recursive vehicle-to-part linkages.
  • JSON Data Types: Instead of EAV (Entity-Attribute-Value) tables for dynamic attributes, the new schema stores flexible attributes as JSON, reducing table joins by 40%.

Why MySQL for TecDoc

  • Broad ecosystem and familiarity among developers.
  • Strong performance for read-heavy workloads when indexed and scaled correctly.
  • Flexible storage engines (InnoDB) and replication for high availability.
  • Mature tooling for backups, monitoring, and query optimization.

8. Security & operations

  • Use parameterized queries to avoid injection.
  • Encrypt backups and use encrypted connections between app and DB.
  • Regular backups (logical + physical) and tested restore procedures.
  • Monitor replication lag, slow queries, and disk I/O.