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The first step is to tell Django how to manage the raw data in the database, using a standard field. Since pickled objects are just strings, some form of text field would clearly be prudent, and since there s no way to know in advance how large the pickled representation will be, the nearly limitless seems like an obvious choice. Of course, given that there will be some extra work going on for this new field, alone won t suffice. Instead, we ll create a subclass that inherits the database functionality of , while allowing extra customizations where necessary. Since fields are just Python classes like any other, this works just like you d expect, but with one addition. In order to interact with the database using a different value than is used to interact with other Python code, the attribute needs to be different than the attribute. This is controlled by a custom method.

As you ve seen, when you use the SqlDataSource, you can often avoid writing any data access code. However, you also sacrifice a fair bit of flexibility. Here are the most significant disadvantages: Data access logic embedded in the page: To create a SqlDataSource control, you need to hardcode the SQL statements in your web page. This means you can t fine-tune your query without modifying your web page. In an enterprise application, this limitation isn t acceptable, as it s common to revise the queries after the application is deployed in response to profiling, indexes, and expected loads.

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You can improve this situation a fair bit by restricting your use of the SqlDataSource to stored procedures. However, in a large-scale web application, the data access code will be maintained, tested, and refined separately from the business logic (and it may even be coded by different developers). The SqlDataSource just doesn t give you that level of flexibility.

Maintenance in large applications: Every page that accesses the database needs its own set of SqlDataSource controls. This can turn into a maintenance nightmare, particularly if you have several pages using the same query (each of which requires a duplicate instance of the SqlDataSource). In a component-based application, you ll use a higher-level model. The web pages will communicate with a data access library, which will contain all the database details. Lack of flexibility: Every data access task requires a separate SqlDataSource. If you want to provide a user with multiple ways to view or query data, this can swamp your page with data sources objects, one for each command variant. This can get complicated fast. Inapplicability to other data tasks: The SqlDataSource doesn t properly represent some types of tasks. The SqlDataSource is intended for data display and data editing scenarios. However, this model breaks down if you need to connect to the database and perform another task, such as placing a shipment request into an order pipeline or logging an event. In these situations, you ll need custom database code. It will simplify your application if you have a single database library that encapsulates these tasks along with data retrieval and updating operations.

This much alone will suffice for getting the field set up properly for the database. At this point, it s even possible to assign a instance to a model and sync it with the database, and the column created will be perfectly usable for the duration of this example. Of course, it only manages the raw data so far; it won t be able to handle real Python objects at all, much less deal with pickling and unpickling as necessary.

In fact, in a well-abstracted three-tier application, your web page may call a method such as Business.PlaceOrder() without worrying about whether this operation involves saving an order record in a database, sending a message to a message queue, communicating with a remote component, or using a combination of all these tasks.

To get around these limitations, you should consider the ObjectDataSource. The ObjectDataSource allows you to bind your page to a custom data access component. Best of all, you get almost all the same frills, such as design-time data binding and no need to write code in your web page.

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