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Scaling Apache Solr

You're reading from   Scaling Apache Solr Optimize your searches using high-performance enterprise search repositories with Apache Solr

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (13) Chapters Close

Preface 1. Understanding Apache Solr FREE CHAPTER 2. Getting Started with Apache Solr 3. Analyzing Data with Apache Solr 4. Designing Enterprise Search 5. Integrating Apache Solr 6. Distributed Search Using Apache Solr 7. Scaling Solr through Sharding, Fault Tolerance, and Integration 8. Scaling Solr through High Performance 9. Solr and Cloud Computing 10. Scaling Solr Capabilities with Big Data A. Sample Configuration for Apache Solr Index

Running Solr on Cloud (SaaS) and enterprise search as a service

Another aspect to look at in the Apache Solr Cloud is SaaS. Many Solr vendors provide ready-made preconfigured Solr instances for usage to its customers. In this chapter, we will be looking at some of the Solr Cloud providers.

Running Solr with OpenSolr Cloud

OpenSolr provides a running Solr instance on Cloud. It provides preconfigured templates for Drupal, Magento, Joomla, and so on. The pricing varies based on the cores and the number of documents. But the good thing is that it allows creating free Solr hosting for a limited amount of time. You can register yourself and access the dashboard for Solr. Now, you can simply create a new collection, as follows. You get a ready-made Solr instance in a short time:

Running Solr with OpenSolr Cloud

The instance also allows you to change the configuration, access different errors, browse data, and run data imports through a common collections manager, as shown in the following screenshot:

Running Solr with OpenSolr Cloud

It provides users with different...

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