by Markus Winand.

Performance and Scalability


This chapter is about performance and scalability of databases.

In this context, I am using the following definition for scalability:

Scalability is the ability of a system, network, or process,
to handle a growing amount of work in a capable manner
or
its ability to be enlarged to accommodate that growth.

Wikipedia

You see that there are actually two definitions. The first one is about the effects of a growing load on a system and the second is about growing a system to handle more load.

The second definition enjoys much more popularity than the first one. Whenever somebody talks about scalability, it is almost always about using more hardware. Scale-up and scale-out are the respective keywords which were recently complemented by new buzzwords like web-scale.

On my Own Behalf

If you like this article, you might also like my book SQL Performance Explained or my training.

Broadly speaking, scalability is about the performance impact of environmental changes. Hardware is just one environmental parameter that can change. This chapter covers other parameters like data volume and system load as well.

Contents

  1. Data Volume — Sloppy indexing bites back

  2. System Load — Production load affects response time

  3. Response Time and Throughput — Horizontal scalability

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About the Author

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Markus Winand teaches efficient SQL—inhouse and online. He minimizes the development time using modern SQL and optimizes the runtime with smart indexing. His book entitled SQL Performance Explained has become standard reading.

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“Use The Index, Luke!” by Markus Winand is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License.
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