import mysql.connector
import xml.etree.ElementTree as ET
conn = mysql.connector.connect(
host="localhost",
user="tecdoc_user",
password="secure_pass",
database="tecdoc_mysql"
)
cursor = conn.cursor()
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. tecdoc mysql new
Before import, normalize the data.
Use the open-source tecdoc-mysql-loader available on GitHub. import mysql
git clone https://github.com/tecalliance-community/tecdoc-mysql-loader
cd tecdoc-mysql-loader
pip install -r requirements.txt
python loader.py --source /mnt/tecdoc_dvd/ --target mysql://user:pass@localhost:3306/tecdoc_new
This script automatically handles the new foreign key structures introduced in 2024. This script automatically handles the new foreign key
Using the "new" streaming method to load 1 million records quickly:
import mysql.connector
from xml.etree import ElementTree as ET
The Problem: Searching for generic part names.
The Solution: Implement MySQL ngram full-text parser (new in MySQL 8.0.14+):
ALTER TABLE articles ADD FULLTEXT INDEX ftx_desc (description) WITH PARSER ngram;
SELECT * FROM articles WHERE MATCH(description) AGAINST('brake pad ceramic' IN NATURAL LANGUAGE MODE);