Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it's tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you're an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference.Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen
| Preface |
|
vii | |
| Introduction to SQLAIchemy |
|
xiii | |
|
|
|
|
|
|
1 | (12) |
|
|
|
1 | (2) |
|
|
|
3 | (1) |
|
|
|
4 | (5) |
|
|
|
5 | (1) |
|
|
|
6 | (1) |
|
|
|
7 | (1) |
|
Relationships and ForeignKeyConstraints |
|
|
8 | (1) |
|
|
|
9 | (4) |
|
2 Working with Data via SQLAIchemy Core |
|
|
13 | (24) |
|
|
|
13 | (4) |
|
|
|
17 | (11) |
|
|
|
18 | (2) |
|
Controlling the Columns in the Query |
|
|
20 | (1) |
|
|
|
20 | (1) |
|
|
|
21 | (1) |
|
Built-In SQL Functions and Labels |
|
|
22 | (2) |
|
|
|
24 | (1) |
|
|
|
25 | (1) |
|
|
|
26 | (1) |
|
|
|
27 | (1) |
|
|
|
27 | (1) |
|
|
|
28 | (1) |
|
|
|
29 | (2) |
|
|
|
31 | (1) |
|
|
|
32 | (1) |
|
|
|
33 | (1) |
|
|
|
34 | (1) |
|
|
|
35 | (2) |
|
3 Exceptions and Transactions |
|
|
37 | (14) |
|
|
|
37 | (6) |
|
|
|
38 | (2) |
|
|
|
40 | (1) |
|
|
|
41 | (2) |
|
|
|
43 | (8) |
|
|
|
51 | (12) |
|
Testing with a Test Database |
|
|
51 | (7) |
|
|
|
58 | (5) |
|
|
|
63 | (8) |
|
Reflecting Individual Tables |
|
|
63 | (3) |
|
Reflecting a Whole Database |
|
|
66 | (1) |
|
Query Building with Reflected Objects |
|
|
66 | (5) |
|
|
|
|
6 Defining Schema with SQLAIchemy ORM |
|
|
71 | (6) |
|
Defining Tables via ORM Classes |
|
|
71 | (3) |
|
Keys, Constraints, and Indexes |
|
|
73 | (1) |
|
|
|
74 | (1) |
|
|
|
75 | (2) |
|
7 Working with Data via SQLAIchemy ORM |
|
|
77 | (26) |
|
|
|
77 | (3) |
|
|
|
80 | (3) |
|
|
|
83 | (10) |
|
Controlling the Columns in the Query |
|
|
86 | (1) |
|
|
|
86 | (1) |
|
|
|
87 | (1) |
|
Built-In SQL Functions and Labels |
|
|
88 | (1) |
|
|
|
89 | (1) |
|
|
|
90 | (2) |
|
|
|
92 | (1) |
|
|
|
92 | (1) |
|
|
|
93 | (1) |
|
|
|
94 | (3) |
|
|
|
97 | (1) |
|
|
|
98 | (1) |
|
|
|
99 | (2) |
|
|
|
101 | (2) |
|
8 Understanding the Session and Exceptions |
|
|
103 | (18) |
|
|
|
105 | (3) |
|
|
|
105 | (3) |
|
|
|
108 | (4) |
|
MultipleResultsFound Exception |
|
|
108 | (2) |
|
|
|
110 | (2) |
|
|
|
112 | (9) |
|
9 Testing with SQLAIchemy ORM |
|
|
121 | (12) |
|
Testing with a Test Database |
|
|
121 | (9) |
|
|
|
130 | (3) |
|
10 Reflection with SQLAIchemy ORM and Automap |
|
|
133 | (6) |
|
Reflecting a Database with Automap |
|
|
133 | (2) |
|
|
|
135 | (4) |
|
|
|
|
11 Getting Started with Alembic |
|
|
139 | (4) |
|
Creating the Migration Environment |
|
|
139 | (1) |
|
Configuring the Migration Environment |
|
|
140 | (3) |
|
|
|
143 | (8) |
|
Generating a Base Empty Migration |
|
|
143 | (2) |
|
Autogenerating a Migration |
|
|
145 | (4) |
|
Building a Migration Manually |
|
|
149 | (2) |
|
|
|
151 | (6) |
|
Determining a Database's Migration Level |
|
|
151 | (1) |
|
|
|
152 | (1) |
|
Marking the Database Migration Level |
|
|
153 | (1) |
|
|
|
154 | (3) |
|
|
|
157 | (18) |
|
|
|
157 | (3) |
|
|
|
160 | (6) |
|
Integrating SQLAIchemy with Flask |
|
|
166 | (3) |
|
|
|
169 | (6) |
|
|
|
175 | (2) |
| Index |
|
177 | |
Jason works at Emma as a Systems Software Engineer after spending 15 years as a systems architect and building data centers and cloud architectures for several of the largest tech companies, hospitals, stadiums, and telecomm providers. He's a passionate developer who regularly speaks at local and national events about technology. He's also the chair of the PyTennessee conference. He loves solving human problems, and has a side project, Sucratrend, devoted to helping diabetics manage their condition and improving their quality of life. He has used SQLAlchemy in web, data warehouse and analytics applications.Rick Copeland is the Principal Consultant and Founder at Arborian Consulting, a business focusing on MongoDB and Python custom development and training. Rick is a frequent speaker at MongoDB events, an avid MongoDB enthusiast, and is a charter member of 10gen's "Masters of MongoDB." In the non-MongoDB side of things, Rick is also a well-known Python developer and member of the Python Software Foundation, having contributed to a number of open-source projects and spoken at various evens and user groups. Rick is also the author of Essential SQLAlchemy, a book published by O'Reilly that introduces the reader to the excellent SQLAlchemy Python database toolkit.
