Get Amazon SimpleDB Developer Guide: Scale your application's PDF

By Prabhakar Chaganti, Rich Helms

ISBN-10: 1847197345

ISBN-13: 9781847197344

This publication is a realistic real-world instructional overlaying every little thing you want to learn about Amazon SimpleDB. you are going to stumble upon examples in 3 languages: Java, personal home page, and Python. This e-book is aimed toward reworking you from a newbie to a complicated developer. when you are a developer desirous to construct scalable web-based database purposes utilizing SimpleDB, then this e-book is for you. you don't want to understand whatever approximately SimpleDB to learn and examine from this e-book, and no easy wisdom is exactly worthy. This consultant may help you to begin from scratch and construct complex functions.

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You send the request data, the request signature, timestamp, and your Access Key ID to AWS. • AWS uses the Access Key ID in the request to look up the associated Secret Access Key. • AWS generates a request signature from the request data using the retrieved Secret Access Key and the same algorithm you used to calculate the signature in the request. • If the signature generated by AWS matches the one you sent in the request, the request is considered to be authentic. If the signatures are different, the request is discarded, and AWS returns an error response.

Unlike a delimited list field, SimpleDB indexes all values enabling an efficient search each value. SELECT * FROM Contact_Info WHERE Phone_Num = '555-854-9885' This SELECT is very quick and efficient. It is even possible to use Phone_Num multiple times such as follows: SELECT * FROM Contact_Info WHERE Phone_Num = '555-854-9885' OR Phone_Num = '555-748-7854' Let's analyze the strengths and weaknesses of this approach: SCORE—SimpleDB data Strength Efficient storage Yes Efficient search by phone number Yes Efficient search by name Yes Easy to add another phone number Yes [ 47 ] Weakness SimpleDB versus RDBMS No schemas There are no schemas anywhere in sight of SimpleDB.

Let's look at a simple example of a database starting with a basic spreadsheet structure and then design it for an RDBMS and a SimpleDB. In this example, we will create a simple contact database, with contact information as raw data. ID First_Name Last_Name Phone_Num 101 John Smith 555-845-7854 101 John Smith 555-854-9885 101 John Smith 555-695-7485 102 Bill Jones 555-748-7854 102 Bill Jones 555-874-8654 The obvious issue is the repetition of the name data. The table is inefficient and would require care to update to keep the name data in sync.

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Amazon SimpleDB Developer Guide: Scale your application's database on the cloud using Amazon SimpleDB by Prabhakar Chaganti, Rich Helms


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