In this chapter, we have covered various ways of optimizing Apache Solr and Hadoop instances. We started by reviewing the schema optimization and optimizing the index. We also looked at optimizing the container, and the search runtime, to speed up the overall process. We reviewed optimizing Hadoop instances. Finally, we looked at different ways of monitoring the Solr instances for performance.
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