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Microsoft Windows Azure Development Cookbook

You're reading from   Microsoft Windows Azure Development Cookbook Realize the full potential of Windows Azure with this superb Cookbook that has over 80 recipes for building advanced, scalable cloud-based services. Simply pick the solutions you need to answer your requirements immediately.

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Product type Paperback
Published in Aug 2011
Publisher Packt
ISBN-13 9781849682220
Length 392 pages
Edition 1st Edition
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Author (1):
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Neil Mackenzie Neil Mackenzie
Author Profile Icon Neil Mackenzie
Neil Mackenzie
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Table of Contents (16) Chapters Close

Microsoft Windows Azure Development Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Controlling Access in the Windows Azure Platform FREE CHAPTER 2. Handling Blobs in Windows Azure 3. Going NoSQL with Windows Azure Tables 4. Disconnecting with Windows Azure Queues 5. Developing Hosted Services for Windows Azure 6. Digging into Windows Azure Diagnostics 7. Managing Hosted Services with the Service Management API 8. Using SQL Azure 9. Looking at the Windows Azure AppFabric Index

Choosing a PartitionKey and RowKey for a table


The Primary Key for a table in the Windows Azure Table Service is the combination of PartitionKey and RowKey. These properties are not symmetric in that the PartitionKey and RowKey serve different purposes. The PartitionKey provides scalability for a table while the RowKey ensures uniqueness for a given value of PartitionKey.

A set of entities with the same PartitionKey in a table is referred to as a partition. The Table service has a scalability target for a partition that is lower than that for the storage account. Consequently, performance can be improved by ensuring that data access is distributed across partitions. It is important that the PartitionKey is designed, so that performance is optimized for the actual workload of a service.

An anti-pattern for the design of the PartitionKey is the append pattern in which the PartitionKey is created, so that all entities inserted in some interval of time are inserted in the same partition. For example...

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