This chapter was focused on making us aware of the Apache Solr enterprise search engine. We started with setting up Apache Solr, along with common problems and solutions, followed by the architecture and configuration of Apache Solr. We also looked at loading data in Apache Solr through different handlers. We explored how SolrJ can be used for interacting with Apache Solr. Now that we have a good understanding of Apache Hadoop and Apache Solr, the next step is to understand how to work with a distributed search with Apache Solr and Hadoop. In the next chapter, we will see how Apache Hadoop and Solr can complement each other.
Scaling Big Data with Hadoop and Solr, Second Edition
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Scaling Big Data with Hadoop and Solr, Second Edition
By:
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
Free Chapter
Processing Big Data Using Hadoop and MapReduce
Understanding Apache Solr
Enabling Distributed Search using Apache Solr
Big Data Search Using Hadoop and Its Ecosystem
Scaling Search Performance
Use Cases for Big Data Search
Index
Customer Reviews