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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Preparing the cluster for high indexing and querying throughput


Until this chapter, we mostly talked about different functionalities of Elasticsearch, both in terms of handling queries, indexing data, and tuning. However, running a cluster in production is not only about using this great search engine, but also about preparing the cluster to handle both the indexing and querying load. Let's now summarize the knowledge we have and see what are the things we need to care about when it comes to preparing the cluster for high indexing and querying throughput.

Indexing related advice

In this section, we will look at the indexing related advice around tuning Elasticsearch. Each production environment data is different, index rate is different, and user's behavior is different. Take that into consideration and run performance tests on your environment. This will give you the best idea about what to expect and what works the best in the case of your system.

Index refresh rate

One of the general things...

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