Full Extraction From MySQL Database
Understand full extraction methods from MySQL databases by running complete queries to pull all data from tables. Explore practical examples using SQL queries and Python scripting to export data for reporting, backups, and migration in ETL pipelines.
Introducing MySQL
The most common source of data for ETL pipelines is, to nobody's surprise, databases. According to ~74,000 responses on StackOverflow, the two most popular databases are MySQL and Postgres.
MySQL is an open-source OLTP relational database used by organizations worldwide. It’s a simple database that’s fast, reliable, well-understood, and easy to set up and manage. MySQL is known to be light on features to increase its speed and reliability. It’s used for a wide range of applications, although the most popular usage is for web applications. MySQL is managed by Oracle and has a paid enterprise version and a free community edition.
MySQL is ACID (atomicity, consistency, isolation, and durability) compliant and has several storage engines that can be used to optimize the performance and customize it to our needs. The most popular ones are InnoDB and MyISAM. Many large organizations use MySQL. Some examples are:
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