c# code 128 Problems of scale in relational databases in C#

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Problems of scale in relational databases
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As the web server load increases for a site, you may need to scale up the number of servers to cope with the increase in demand. But what do you do if you need to
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The Table service, a whole different entity
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(continued) increase the capacity of your data store Unfortunately, most databases aren t designed to scale beyond a single server, which means the only way to cope with the increase in demand is either to scale up your hardware or redesign your application. Although it s possible to design scalable federated databases with SQL Server, the licensing costs, the design complexity, the cost of development, and the operational costs of running such a system make it very difficult to justify for many companies on a budget.
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Let s now take a brief look at what the Table service is.
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11.1 A brief overview of the Table service
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The Table service component of the Windows Azure storage services (which includes the BLOB service, Table service, and Queue service) is a very simple, highly scalable, cost-effective solution that can be used to store data. In many scenarios it can replace traditional SQL Server based designs. Like all other storage services, the Table service is hosted within the Windows Azure data centers, leveraging the web role infrastructure. Access to the service is provided through an HTTP-based REST API. For more details on the infrastructure of the service see chapter 9.
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The Table service provides you with the ability to create very simple tables that you can use to store serialized versions of your entities. Figure 11.1 shows how entities are stored in the Table service. In figure 11.1 you can see that there are two tables (Products and ShoppingCart) in a storage account (silverlightukstorage). The Products table could represent the product list for the Hawaiian Shirt Shop website that we introduced in chapter 2, and each entity stored in the Products table (Red Shirt, Blue Shirt, and Blue Frilly Shirt) would represent different types of shirts. It s important to point out that although the Table service offers the ability to store data in tables, it s an entity storage mechanism, not a relational database. That means it doesn t offer the sort of functionality that you may be used to: It can t create foreign key relationships between tables. It can t perform server-side joins between tables. It can t create custom indexes on tables.
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Account name
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silverlightukstorage
Products Red Shirt Blue Shirt .. .. ... Blue Frilly Shirt ShoppingCart Item 1 Item 2 .. .. ... Item X
Account
Table name Table Entity
Figure 11.1 The Hawaiian shirts (which are represented as entities) are stored in the Products table. Tables are very similar to BLOB containers (but they hold entities rather than BLOBs). Like BLOB containers, tables are housed within your storage account. Here you can see that the Products and ShoppingCart tables live in the silverlightukstorage account.
How we d normally represent entities outside of Azure
If you do require relational database storage, you can look at SQL Azure, which is a Windows Azure platform hosted SQL Server database.
I always need a relational database, don t I
We ve become a little conditioned to store data in a relational form, even when it s not strictly necessary. If you can expand your mind and accept that there are other ways of storing data, you can use the Table service to store your data in a highly scalable (and cheaper) fashion. As you ll see later in this book, many applications (including shopping carts, blogs, content management systems, and so on) could potentially use the simple Table service rather than a relational database.
Now that you know what the Table service is and isn t, it s nearly time to look at how entities are stored in the Table service. But before we do that, let s take a look at how we d normally represent data in non-Windows Azure environments. In the next section, we ll look at how we d represent an entity in a typical SQL Server solution, and we ll compare this to Table service solutions. If you have no patience or are addicted to caffeine and need to get to Table service code right now, feel free to skip along to section 11.3.
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