Apache Solr High Performance
eBook - ePub

Apache Solr High Performance

Surendra Mohan

  1. 124 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Apache Solr High Performance

Surendra Mohan

Book details
Book preview
Table of contents
Citations

About This Book

In Detail

Apache Solr is one of the most popular open source search servers available on the web. However, simply setting up Apache Solr is not enough to ensure the success of your web product. To maximize efficiency, you need to use techniques to boost Solr performance in order to return relevant results faster. You need to implement robust techniques that focus on optimizing the performance of your Solr instances and also troubleshoot issues that are prone to arise while maintaining Solr.

Apache Solr High Performance is a practical guide that will help you explore and take full advantage of the robust nature of Apache Solr so as to achieve optimized Solr instances, especially in terms of performance.

You will learn everything you need to know in order to achieve a high performing Solr instance or set of instances, as well as how to troubleshoot the common problems you are prone to face while working with single or multiple Solr servers.

This book offers you an introduction by explaining the prerequisites of Apache Solr and installing it, while also integrating it with the required additional components, and gradually progresses into features that make Solr flexible enough to achieve high performance ratings in various circumstances. Moving forward, the book will cover several clear and highly practical concepts that will help you further optimize your Solr instancesperformance both on single as well as multiple servers, and learn how to troubleshoot common problems that are prone to arise while using your Solr instance. By the end of the book you will also learn how to set up, configure, and deploy ZooKeeper along with learning more about other applications of ZooKeeper.

You will also learn how to handle data in multiple server environments, searches based on specific geographical co-ordinates, different caching techniques, and various algorithms and formulae that enable better performance; and many more.

Approach

This book is an easy-to-follow guide, full of hands-on, real-world examples. Each topic is explained and demonstrated in a specific and user-friendly flow, from search optimization using Solr to Deployment of Zookeeper applications.

Who this book is for

This book is ideal for Apache Solr developers and want to learn different techniques to optimize Solr performance with utmost efficiency, along with effectively troubleshooting the problems that usually occur while trying to boost performance. Familiarity with search servers and database querying is expected.

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Information

Year
2014
ISBN
9781782164821
Edition
1

Apache Solr High Performance


Table of Contents

Apache Solr High Performance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers and more
Why Subscribe?
Free Access for Packt account holders
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Installing Solr
Prerequisites for Solr
Installing components
Summary
2. Boost Your Search
Scoring
Query-time and index-time boosting
Index-time boosting
Query-time boosting
Troubleshoot queries and scores
The dismax query parser
Lucene DisjunctionMaxQuery
Autophrase boosting
Configuring autophrase boosting
Configuring the phrase slop
Boosting a partial phrase
Boost queries
Boost functions
Boost addition and multiplication
Function queries
Field references
Function references
Mathematical operations
The ord() and rord() functions
Other functions
Boosting the function query
Logarithm
Reciprocal
Linear
Inverse reciprocal
Summary
3. Performance Optimization
Solr performance factors
Solr caching
Document caching
Query result caching
Filter caching
Result pages caching
Using SolrCloud
Creating a SolrCloud cluster
Multiple collections within a cluster
Managing a SolrCloud cluster
Distributed indexing and searching
Stopping automatic document distribution
Near real-time search
Summary
4. Additional Performance Optimization Techniques
Documents similar to those returned in the search result
Sorting results by function values
Searching for homophones
Ignore the defined words from being searched
Summary
5. Troubleshooting
Dealing with the corrupt index
Reducing the file count in the index
Dealing with the locked index
Truncating the index size
Dealing with a huge count of open files
Dealing with out-of-memory issues
Dealing with an infinite loop exception in shards
Dealing with expensive garbage collection
Bulk updating a single field without full indexation
Summary
6. Performance Optimization with ZooKeeper
Getting familiar with ZooKeeper
Prerequisites for a distributed server
Aid your distributed system using ZooKeeper
Setting an ideal node count for ZooKeeper
Setting up, configuring, and deploying ZooKeeper
Setting up ZooKeeper
Configuring ZooKeeper
Deploying ZooKeeper
Applications of ZooKeeper
Summary
A. Resources
Index

Apache Solr High Performance

Copyright © 2014 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: March 2014
Production Reference: 1180314
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78216-482-1
www.packtpub.com
Cover Image by Glain Clarrie ()

Credits

Author
Surendra Mohan
Reviewers
Azaz Desai
Ankit Jain
Mark Kerzner
Ruben Teijeiro
Acquisition Editor
Neha Nagwekar
Content Development Editor
Poonam Jain
Technical Editor
Krishnaveni Haridas
Copy Editors
Mradula Hegde
Alfida Paiva
Adithi Shetty
Project Coordinator
Puja Shukla
Proofreaders
Simran Bhogal
Ameesha Green
Maria Gould
Indexers
Monica Ajmera Mehta
Mariammal Chettiyar
Graphics
Abhinash Sahu
Production Coordinator
Saiprasad Kadam
Cover Work
Saiprasad Kadam

About the Author

Surendra Mohan, who has served a few top-notch software organizations in varied roles, is currently a freelance software consultant. He has been working on various cutting-edge technologies such as Drupal and Moodle for more than nine years. He also delivers technical talks at various community events such as Drupal meet-ups and Drupal camps. To know more about him, his write-ups, and technical blogs, and much more, log on to http://www.surendramohan.info/.
He has also authored the book Administrating Solr, Packt Publishing, and has reviewed other technical books such as Drupal 7 Multi Sites Configuration and Drupal Search Engine Optimization, Packt Publishing, and titles on Drupal commerce and ElasticSearch, Drupal-related video tutorials, a title on Opsview, and many more.

About the Reviewers

Azaz Desai has more than three years of experience in Mule ESB, jBPM, and Liferay technology. He is responsible for implementing, deploying, integrating, and optimizing services and business processes using ESB and BPM tools. He was a lead writer of Mule ESB Cookbook, Packt Publishing, and also played a vital role as a trainer on ESB. He currently provides training on Mule ESB to global clients. He has done various integrations of Mule ESB with Liferay, Alfresco, jBPM, and Drools. He was part of a key project on Mule ESB integration as a messaging system. He has worked on various web services and standards and frameworks such as CXF, AXIS, SOAP, and REST.
Ankit Jain holds a bachelor's degree in Computer Science Engineering from RGPV University, Bhopal, India. He has three years of experience in designing and architecting solutions for the Big Data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, ElasticSearch, Machine Learning, Kafka, Spring, Java, and J2EE.
He also shares his thoughts on his personal blog at http://ankitasblogger.blogspot.in/. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, Ankit spends time with his family and friends, watching movies, and playing games.
Mark Kerzner holds degrees in Law, Maths, and Computer Science. He has been designing software for many years and Hadoop-based systems since 2008. He is the President of SHMsoft, a provider of Hadoop applications for various verticals, and a cofounder of the Hadoop Illuminated training and consulting, as well as the coauthor of the Hadoop Illuminated open source book. He has authored and coauthored several books and patents.

Table of contents