Book Image

MySQL for Python

By : Albert Lukaszewski
Book Image

MySQL for Python

By: Albert Lukaszewski

Overview of this book

Python is a dynamic programming language, which is completely enterprise ready, owing largely to the variety of support modules that are available to extend its capabilities. In order to build productive and feature-rich Python applications, we need to use MySQL for Python, a module that provides database support to our applications. Although you might be familiar with accessing data in MySQL, here you will learn how to access data through MySQL for Python efficiently and effectively.This book demonstrates how to boost the productivity of your Python applications by integrating them with the MySQL database server, the world's most powerful open source database. It will teach you to access the data on your MySQL database server easily with Python's library for MySQL using a practical, hands-on approach. Leaving theory to the classroom, this book uses real-world code to solve real-world problems with real-world solutions.The book starts by exploring the various means of installing MySQL for Python on different platforms and how to use simple database querying techniques to improve your programs. It then takes you through data insertion, data retrieval, and error-handling techniques to create robust programs. The book also covers automation of both database and user creation, and administration of access controls. As the book progresses, you will learn to use many more advanced features of Python for MySQL that facilitate effective administration of your database through Python. Every chapter is illustrated with a project that you can deploy in your own situation.By the end of this book, you will know several techniques for interfacing your Python applications with MySQL effectively so that powerful database management through Python becomes easy to achieve and easy to maintain.
Table of Contents (20 chapters)
MySQL for Python
Credits
About the Author
About the Reviewers
Preface
Index

Helpful ways to nuance an INSERT statement


Like SELECT has other helpful quantifiers to weed through the data being returned, INSERT has ways of nuancing the origin of the data to be inserted as well as the timing and conditions of the insertion. The three most common ways of altering the way MySQL processes an INSERT statement are:

  • INSERT...SELECT...

  • INSERT DELAYED...

  • INSERT...ON DUPLICATE KEY UPDATE...

In the following section, we take each one in turn.

INSERT...SELECT...

Using INSERT...SELECT... we can tell MySQL to draw from different tables without having to draw them into Python or to set a variable in MySQL. It functions on the following syntactic template:

INSERT INTO <target table>(target column name) SELECT <source column name> FROM <source table>;

By default, the SELECT phrase of the sentence is greedy and will return as many hits as it can. As with a generic SELECT statement, however, we can restrict the hits returned using WHERE. See the Other helpful quantifiers section...