Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By : Hrishikesh Vijay Karambelkar
Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By: Hrishikesh Vijay Karambelkar

Overview of this book

Table of Contents (13 chapters)
Scaling Big Data with Hadoop and Solr Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we have understood the distributed aspects of any enterprise search. We understood distributed search patterns, and how Apache Solr can be used as a distributed search. We started working with Apache SolrCloud, by understanding its architecture, and building a SolrCloud instance of development and production. We also looked at sharding strategies and fault tolerance. Finally, we went through Apache Solr and MongoDB together. In the coming chapter, we will see how Apache Hadoop and Solr can complement each other, alongside the various implementations of Solr with Hadoop.