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ElasticSearch Server

You're reading from   ElasticSearch Server Whether you're experienced in search servers or a newcomer, this book empowers you to get to grips with the speed and flexibility of ElasticSearch. A reader-friendly approach, including lots of hands-on examples, makes learning a pleasure.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849518444
Length 318 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with ElasticSearch Cluster FREE CHAPTER 2. Searching Your Data 3. Extending Your Structure and Search 4. Make Your Search Better 5. Combining Indexing, Analysis, and Search 6. Beyond Searching 7. Administrating Your Cluster 8. Dealing with Problems Index

Fetching data from other systems: river


In the first chapter, we've seen how to create and update indices using the REST API. Loading the data to ElasticSearch is the main task (except, of course, searching), which should be solved when building a search application. It would be good to have some infrastructure or plugins that can handle integration of the search engine with various sources of data. ElasticSearch is a relatively new project, but already addresses this goal with a functionality called river.

What we need and what a river is

You can guess that there are two approaches for putting the data into your search system. We can pop the data from the source system, or the source system could push the data into our system. In the first case, we need some kind of service in our ElasticSearch cluster that could monitor the changes of an external data source or check these sources periodically. River is such a service. ElasticSearch takes care of this service and makes sure that only a...

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