Subject: Migration, Optimization, and Management of TecDoc Data in a MySQL Environment Target Audience: Backend Developers, Database Administrators, Automotive Software Engineers.
One of the biggest breakthroughs is the emergence of a community-driven MySQL schema for TecDoc. While TecAlliance provides a logical model, the "new" MySQL schemas available on GitHub (like tecdoc-mysql-sync or autodata-mysql-bridge) offer: tecdoc mysql new
OEM numbers, GenericArticleIds, and VehicleIds.Using the "new" streaming method to load 1 million records quickly: Indexed lookups: Pre-built indexes for OEM numbers ,
import mysql.connector from xml.etree import ElementTree as ET3. Importing TecDoc data efficiently
- Use bulk CSV or XML imports; TecDoc packages often include XML/CSV dumps.
- Load into staging tables first using LOAD DATA INFILE for CSV or a streaming XML parser for large XML.
- Validate and normalize IDs, map external TecDoc IDs to local IDs, deduplicate using hashing on manufacturer+part_number.
- Use transactions and chunked upserts (INSERT ... ON DUPLICATE KEY UPDATE) for idempotent sync.
- For attributes-heavy rows, store raw JSON into parts.attributes_json and process frequently-used attributes into columns.
Option A: From CSV (if you converted TecDoc dump)
LOAD DATA LOCAL INFILE '/path/brands.csv' INTO TABLE brands FIELDS TERMINATED BY ',' ENCLATED BY '"' LINES TERMINATED BY '\n' IGNORE 1 ROWS;Guide: Setting Up a New MySQL Database for TecDoc Data
Stream XML (Doesn't load the whole file)
for event, elem in ET.iterparse('tecdoc_articles.xml', events=('end',)): if elem.tag == 'Article': # Extract data gai = elem.get('GenericArticleId') nr = elem.find('ArticleNr').text Step 4: The Import Script (Python Example) Using
# Insert into MySQL cursor = db.cursor() cursor.execute("INSERT INTO tecdoc_articles (generic_article_id, article_nr) VALUES (%s, %s) ON DUPLICATE KEY UPDATE article_nr = %s", (gai, nr, nr)) db.commit() elem.clear() # Clear memory