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Mastering Elasticsearch 5.x

You're reading from   Mastering Elasticsearch 5.x Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460189
Length 428 pages
Edition 3rd Edition
Languages
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Author (1):
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Bharvi Dixit Bharvi Dixit
Author Profile Icon Bharvi Dixit
Bharvi Dixit
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Table of Contents (13) Chapters Close

Preface 1. Revisiting Elasticsearch and the Changes 2. The Improved Query DSL FREE CHAPTER 3. Beyond Full Text Search 4. Data Modeling and Analytics 5. Improving the User Search Experience 6. The Index Distribution Architecture 7. Low-Level Index Control 8. Elasticsearch Administration 9. Data Transformation and Federated Search 10. Improving Performance 11. Developing Elasticsearch Plugins 12. Introducing Elastic Stack 5.0

Routing explained


In the Choosing the right amount of shards and replicas section in this chapter, we mentioned routing as a solution for the shards on which queries will be executed on a single one. Now it's time to look closer at this functionality.

Shards and data

Usually, it is not important how Elasticsearch divides data into shards and which shard holds the particular document. During query time, the query will be sent to all the shards of a particular index, so the only crucial thing is to use the algorithm that spreads our data evenly so that each shard contains similar amounts of data. We don't want one shard to hold 99 percent of the data while the other shard holds the rest--it is not efficient.

The situation complicates slightly when we want to remove or add a newer version of the document. Elasticsearch must be able to determine which shard should be updated. Although it may seem troublesome, in practice, it is not a huge problem. It is enough to use the sharding algorithm, which...

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