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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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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 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

Index aliasing and using it to simplify your everyday work


When working with multiple indices in Elasticsearch, you can sometimes lose track of them. Imagine a situation where you store logs in your indices or time-based data in general. Usually, the amount of data in such cases is quite large and, therefore, it is a good solution to have the data divided somehow. A logical division of such data is obtained by creating a single index for a single day of logs (if you are interested in an open source solution used to manage logs, look at the Logstash from the Elasticsearch suite at https://www.elastic.co/products/logstash).

However, after some time, if we keep all the indices, we will start having a problem in taking care of all that. An application needs to take care of all the information, such as which index to send data to, which to query, and so on. With the help of aliases, we can change this to work with a single name just as we would use a single index, but we will work with multiple...

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