Tecdoc - Mysql New

A major Dutch e-commerce parts platform recently reported the following results after switching to the "TECDOC MySQL New" stack:

The key takeaway? The "new" architecture isn't just an upgrade; it's a complete overhaul of how the data engine runs.

Create your database using the new optimized structure. Below is a simplified snippet of the modern schema used by top automotive portals:

CREATE TABLE `tecdoc_vehicles` (
  `id` INT PRIMARY KEY,
  `car_name` VARCHAR(255),
  `manufacturer_id` INT,
  `construction_year` INT,
  INDEX `idx_manufacturer_year` (`manufacturer_id`, `construction_year`)
) ENGINE=InnoDB;
CREATE TABLE tecdoc_articles (
generic_article_id BIGINT PRIMARY KEY,
article_nr VARCHAR(60),
brand_id INT,
data JSON, -- New: Store dynamic specs (E.g., "Length": "150mm", "Weight": "2kg")
INDEX idx_article_nr (article_nr)
) ENGINE=InnoDB; tecdoc mysql new
-- New: Linking table using modern foreign key constraints
CREATE TABLE tecdoc_link_articles_vehicles (
vehicle_id INT,
generic_article_id BIGINT,
linking_target_type TINYINT,
PRIMARY KEY (vehicle_id, generic_article_id),
FOREIGN KEY (vehicle_id) REFERENCES tecdoc_vehicles(id) ON DELETE CASCADE
) ENGINE=InnoDB;

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

    # 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

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 updates weekly/daily. Implement:

-- Staging tables
CREATE TABLE articles_staging LIKE articles;
-- Load new data into staging
-- then swap with production:
RENAME TABLE articles TO articles_old, articles_staging TO articles;
DROP TABLE articles_old;

Use partitioning by supplier_id or from_year:

ALTER TABLE vehicle_article_link PARTITION BY HASH(vehicle_id) PARTITIONS 16;

Edit /etc/mysql/my.cnf or /etc/my.cnf:

[mysqld]
innodb_buffer_pool_size = 8G          # 70% of RAM
innodb_log_file_size = 2G
innodb_flush_log_at_trx_commit = 2    # faster inserts
bulk_insert_buffer_size = 256M
tmp_table_size = 2G
max_heap_table_size = 2G
key_buffer_size = 512M

Indexes to add (after import):

CREATE INDEX idx_articles_supplier ON articles(supplier_id);
CREATE INDEX idx_vehicle_link_article ON vehicle_article_link(article_id);
CREATE INDEX idx_vehicles_make_year ON vehicles(make_id, from_year);

The Problem: Searching for generic part names. The Solution: Implement MySQL ngram full-text parser (new in MySQL 8.0.14+): A major Dutch e-commerce parts platform recently reported

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);

This is the fastest way to ingest TecDoc data.

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));