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Essential SQLAlchemy, by Rick Copeland
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Essential SQLAlchemy introduces a high-level open-source code library that makes it easier for Python programmers to access relational databases such as Oracle, DB2, MySQL, PostgreSQL, and SQLite. SQLAlchemy has become increasingly popular since its release, but it still lacks good offline documentation. This practical book fills the gap, and because a developer wrote it, you get an objective look at SQLAlchemy's tools rather than an advocate's description of all the "cool" features.
SQLAlchemy includes both a database server-independent SQL expression language and an object-relational mapper (ORM) that lets you map "plain old Python objects" (POPOs) to database tables without substantially changing your existing Python code. Essential SQLAlchemy demonstrates how to use the library to create a simple database application, walks you through simple queries, and explains how to use SQLAlchemy to connect to multiple databases simultaneously with the same Metadata. You also learn how to:
- Create custom types to be used in your schema, and when it's useful to use custom rather than built-in types
- Run queries, updates, and deletes with SQLAlchemy's SQL expression language
- Build an object mapper with SQLAlchemy, and understand the differences between this and active record patterns used in other ORMs
- Create objects, save them to a session, and flush them to the database
- Use SQLAlchemy to model object oriented inheritance
- Provide a declarative, active record pattern for use with SQLAlchemy using the Elixir extension
- Use the SQLSoup extension to provide an automatic metadata and object model based on database reflection
In addition, you'll learn how and when to use other extensions to SQLAlchemy, including AssociationProxy, OrderingList, and more.
Essential SQLAlchemy is the much-needed guide for every Python developer using this code library. Instead of a feature-by-feature documentation, this book takes an "essentials" approach that gives you exactly what you need to become productive with SQLAlchemy right away.
- Sales Rank: #222010 in Books
- Brand: Brand: O'Reilly Media
- Published on: 2008-06-12
- Released on: 2008-06-12
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x .57" w x 7.00" l, .86 pounds
- Binding: Paperback
- 240 pages
- Used Book in Good Condition
Most helpful customer reviews
9 of 9 people found the following review helpful.
Slow Starter, strong finisher but getting long in the tooth
By MedIT
The SQLAlchemy project docs and this book all suffer from a common problem: 0 to database connection is more complex than expected. The quick start story just isn't there. Django/Rails got us used to a blog in 15mins and SQLAlchemy isn't like that.
The first few chapters are the weakest point. Their is a lot of code that introduces a lot of moving parts with very little explanation. The first chapter tries to do too much and introduce all the components. This is tantamount to sticking the whole book in the first 15 pages which results in confusion. This is a failing of the book.
As the detail topical coverage begins the book continues to falter; however, this could be the nature of the code it covers. The "get going" chapter involves metadata, engines, sessions, etc all of which can be handled in different ways and are discussed in "we'll come back to it" detail. This is also confusing. However, I think you just need to know a lot before you can do anything interesting and the book is in an (understandable) rush to get to something interesting. It may have been better to introduce these as a black box and come back to it at the end.
Once a connection is up and running the book nicely deconstruction the API and gradual progression from known to unknown through the SQL Expression Layer and then ORM. The final chapters on Elixir and SqlSoup were a much appreciated addition.
From a general content standpoint I'd say the code samples are strong and do a good job of showing SQLAlchemy off. The prose are not as strong. The book rarely goes beyond "this is what X is and how to use it." I would have preferred a more structured discussion of when to do what and the implications of doing so. With these limitations I'd say plan to read this sitting at a computer and working with each code sample in the REPL.
Overall this book does a good job. It is a step up from the online docs which are extensive but have an unfavorable knowledge / word ratio and lack a good tutorial framework. The down side, as compared to the online docs, is that this book is 2+ years old and it is starting to show. Hopefully an updated edition is in the works.
Bottom Line: Worth the money.
0 of 0 people found the following review helpful.
Write once, target multiple databases
By Mark Livingstone
I am a Ph.D candidate working with a groundbreaking bioinformatics dataset. Unfortunately, it comes in an obscure text file, and is not amenable to analysis. With help from Essential SQLAlchemy, I now have my data in a SQLite database and already have exciting initial results. Databases are not my speciality, but this book enabled me to create an effective solution for my needs, in a period of a few days. With a few more lines of code, and a few hours, I will also have that same data in an Oracle or MySQL database for the rest of my group to share.
I used the Kindle edition of this book, and found the ability to search for terms to be extremely valuable. I did also use the Kindle version of "Using SQLite" by Jay Kreibich because I had not used SQLite before, but database gurus could get by with this book alone.
Easy to read, clear examples, useful if you come from a programming, or database (SQL) background.
0 of 0 people found the following review helpful.
Five Stars
By Jaffy Rider
Good but do not buy this edition. Definitely recommend 2nd edition. 1st edition is dated.
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