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If you re storing your data in SQL Azure or the Table service and you need to perform text searches, you can export your data out of these databases and perform searches with Lucene.NET: http://lucene.apache.org/lucene.net/.
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In this chapter, we ve tried to break away from automatically building pure relational database solutions and instead tried to build hybrid solutions that offer the benefits of both platforms.
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You ve seen that by breaking foreign-key constraints, you can make effective use of the cache to store your static data, allowing you to use either the Table service or SQL Azure as your underlying storage platform. You ve also seen that if you choose to make use of the Table service (which is much more scalable than SQL Azure), you can easily join your dynamic data back to your static reference data without financial or performance penalties. Although SQL Azure isn t as naturally scalable as the Table service, we looked at how you can shard SQL Azure to build a highly scalable relational database solution. Finally we saw that when it comes to infrequently changing reference data (such as the shirt data), what you want to do with that data should influence what technologies you choose. In some circumstances, such as live fresh data, transactional data, or data with many joins across dynamic tables, SQL Azure is the only choice. But if you re looking to join dynamic data with infrequently changing data, you can still use the Table service by thinking about your queries and your performance. Take time to work out how your queries should be structured, consider how many round trips will be made, and think about how wasteful some of your smaller queries might be. REST is easy to use, but there can be overhead costs because small queries become chatty over the network. Think about what your application needs to do before you choose a technology. Don t automatically reach for SQL Azure (which is awesome); consider whether the Table service will meet your needs. Now that you ve moved your data to the cloud, it s time to think about how to accomplish the complex backend processing usually associated with relational databases.
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art 6, the last leg of this journey, covers several advanced topics. 15 discusses worker roles. We covered web roles early in the book; most of that also applies to worker roles. This chapter covers some aspects of worker roles, focusing on how they re different from web roles. We also discuss some more advanced topics we saved for the back of the book so you would get to them when you were good and ready. 16 covers the last part of Azure storage: queues. We ll look at how you can use queues to decouple your system and peek at some advanced patterns for queues. 17 looks at the grandly titled Windows Azure platform AppFabric services. The Access Control Service (ACS) and the Service Bus help you connect to and protect the services you re running in Azure (or, really, that you re running anywhere). The final chapter, chapter 18 for those keeping count, focuses on how to use the service management API to watch and control your Azure environment. If you want to gather logs and diagnostics, head to this chapter. That s it, that s the end of the book. You can now put Cloud Surfer on your resume and retire with fame and wealth.
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Scaling the backend Processing messages Using the service management APIs to control your application
In Azure there are two roles that run your code. The first, the web role, has already been discussed. It plays the role of the web server, communicating with the outside world. The second role is the worker role. Worker roles act as backend servers you might use one to run asynchronous or long-running tasks. Worker roles are usually message based and will usually receive these messages by polling a queue or some other shared storage. Like web roles, you can have multiple deployments of code running in different worker roles. Each deployment can have as many instances as you would like running your code (within your Azure subscription limits). It s important to remember that a worker role is a template for a server in your application. The service model for your application defines how many instances of
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