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Writing Python is fun, and keeping everything in Python limits the number of times your brain has to do a context switch. It helps productivity if you keep yourself in a single programming environment/mentality for as long as possible. Having to write SQL, then Python, and then SQL again is disruptive. Having data models stored as code rather than in your database makes it easier to keep your models under version control. This way, you can easily keep track of changes to your data layouts. SQL allows for only a certain level of metadata about a data layout. Most database systems, for example, do not provide a specialized data type for representing email addresses or URLs. Django models do. The advantage of higher-level data types is higher productivity and more reusable code. SQL is inconsistent across database platforms. If you re distributing a Web application, for example, it s much more pragmatic to distribute a Python module that describes your data layout than separate sets of CREATE TABLE statements for MySQL, PostgreSQL, and SQLite. A drawback of this approach, however, is that it s possible for the Python code to get out of sync with what s actually in the database. If you make changes to a Django model, you ll need to make the same changes inside your database to keep your database consistent with the model. We ll detail some strategies for handling this problem later in this chapter. Finally, we should note that Django includes a utility that can generate models by introspecting an existing database. This is useful for quickly getting up and running with legacy data.

Grails will automatically recognize the request as being multipart, retrieve the file, and bind the bytes that make up the file to the picture byte array property of the User class. This capability also extends to usage in conjunction with the properties property and bindData method discussed previously.

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As an ongoing example in this chapter and the next chapter, we ll focus on a basic book/author/ publisher data layout. We use this as our example because the conceptual relationships between books, authors, and publishers are well known, and this is a common data layout used in introductory SQL textbooks. You re also reading a book that was written by authors and produced by a publisher! We ll suppose the following concepts, fields, and relationships: An author has a salutation (e.g., Mr. or Mrs.), a first name, a last name, an email address, and a headshot photo. A publisher has a name, a street address, a city, a state/province, a country, and a Web site. A book has a title and a publication date. It also has one or more authors (a many-tomany relationship with authors) and a single publisher (a one-to-many relationship aka foreign key to publishers). The first step in using this database layout with Django is to express it as Python code. In the models.py file that was created by the startapp command, enter the following:

If faithful archival of the image is important, then use a lossless compression algorithm to avoid having image data discarded as part of the compression process. Once this image data has been discarded, it s impossible to recover.

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