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Mastering Elasticsearch - Second Edition

You're reading from   Mastering Elasticsearch - Second Edition Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783553792
Length 434 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Power User Query DSL 3. Not Only Full Text Search 4. Improving the User Search Experience 5. The Index Distribution Architecture 6. Low-level Index Control 7. Elasticsearch Administration 8. Improving Performance 9. Developing Elasticsearch Plugins Index

Scaling Elasticsearch


As we already said multiple times both in this book and in Elasticsearch Server Second Edition, Elasticsearch is a highly scalable search and analytics platform. We can scale it both horizontally and vertically.

Vertical scaling

When we talk about vertical scaling, we often mean adding more resources to the server Elasticsearch is running on: we can add memory and we can switch to a machine with better CPU or faster disk storage. Of course, with better machines, we can expect increase in performance; depending on our deployment and its bottleneck, there can be smaller or higher improvement. However, there are limitations when it comes to vertical scaling. For example, one of such is the maximum amount of physical memory available for your servers or the total memory required by the JVM to operate. When you have large enough data and complicated queries, you can very soon run into memory issues, and adding new memory may not be helpful at all.

For example, you may not...

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