Tecdoc Mysql - New

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);

Unlike normalized standard databases, TecDoc data arrives in a highly specific format (often fixed-width text files or XML). The structure is hierarchical:

In a "New" TecDoc installation, the shift is often from legacy MyISAM tables to modern InnoDB engines to support foreign keys and transactions. tecdoc mysql new

Using the "new" streaming method to load 1 million records quickly:

import mysql.connector
from xml.etree import ElementTree as ET
-- Criteria (specs) – use JSON for flexibility
CREATE TABLE vehicle_criteria (
  vehicle_id INT,
  criteria_name VARCHAR(50),
  criteria_value VARCHAR(200),
  PRIMARY KEY (vehicle_id, criteria_name),
  FOREIGN KEY (vehicle_id) REFERENCES vehicles(vehicle_id)
);
-- Import log
CREATE TABLE import_log (
id INT AUTO_INCREMENT PRIMARY KEY,
source_file VARCHAR(255),
imported_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
rows_processed INT
);


The Problem: The "new" dataset is larger (TECDOC 2025 data hits 250GB).
The Solution: Use --chunk-size=50000 flag in the loader and disable binary logging temporarily (SET SQL_LOG_BIN = 0;).
| Issue | Workaround |
|-------|-------------|
| No native TecDoc → MySQL tool | Use ETL (Python, Pentaho, Apache NiFi) |
| Recursive vehicle-tree (passenger/cv) | Store as closure table or nested set |
| Multi-language descriptions | Separate article_text table with lang_code |
| OEM-to-supplier mapping | Use article_supplier_map bridge table |

The search for "tecdoc mysql new" represents a shift in the automotive aftermarket industry. No longer are developers satisfied with clunky XML files. The "new" era is about speed, normalization, and automation. Edit  /etc/mysql/my
By adopting the modern ETL pipelines, optimized MySQL schemas, and streaming parsers discussed in this article, you can reduce server costs by 60% and improve query speeds by 99% compared to legacy XML scrapers.
Whether you are building the next big auto parts e-commerce platform or an internal inventory system for your garage chain, the path forward is clear: Put the XML away. Go native. Go MySQL. Go new.
Disclaimer: TecDoc is a registered trademark of TecAlliance GmbH. This article discusses third-party integration methodologies and is not official documentation from TecAlliance. Always ensure your data usage complies with your licensing agreement. Unlike normalized standard databases, TecDoc data arrives in