Book Image

Apache Solr for Indexing Data

Book Image

Apache Solr for Indexing Data

Overview of this book

Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.

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Apache Solr for Indexing Data
Dec, 2015 | 160 pages
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Table of Contents (18 chapters)
Apache Solr for Indexing Data
Apache Solr for Indexing Data
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Started
Getting Started
Overview and installation of Solr
Running Solr
The Solr architecture and directory structure
Cores in Solr (Multicore Solr)
Summary
2
Understanding Analyzers, Tokenizers, and Filters
Understanding Analyzers, Tokenizers, and Filters
Introducing analyzers
Tokenizers
Filters
Running your analyzer
Summary
3
Indexing Data
Indexing Data
Indexing data in Solr
Building our musicCatalogue example
Facet searching
Summary
4
Indexing Data – The Basic Technique and Using Index Handlers
Indexing Data – The Basic Technique and Using Index Handlers
Inserting data into Solr
Indexing documents using XML
Indexing documents using JSON
Indexing updates using CSV
Summary
5
Indexing Data with the Help of Structured Datasources – Using DIH
Indexing Data with the Help of Structured Datasources – Using DIH
Indexing data from MySQL
Indexing data using XPath
Summary
6
Indexing Data Using Apache Tika
Indexing Data Using Apache Tika
Introducing Apache Tika
Configuring Apache Tika in Solr
Indexing PDF and Word documents
Summary
7
Apache Nutch
Apache Nutch
Introducing Apache Nutch
Installing Apache Nutch
Configuring Solr with Nutch
Summary
8
Commits, Real-Time Index Optimizations, and Atomic Updates
Commits, Real-Time Index Optimizations, and Atomic Updates
Understanding soft commit, optimize, and hard commit
Using atomic updates in Solr
Using RealTime Get
Summary
9
Advanced Topics – Multilanguage, Deduplication, and Others
Advanced Topics – Multilanguage, Deduplication, and Others
Multilanguage indexing
Removing duplicate documents (deduplication)
Content streaming
UIMA integration with Solr
Summary
10
Distributed Indexing
Distributed Indexing
Setting up SolrCloud
Distributed indexing and searching
Summary
11
Case Study of Using Solr in E-Commerce
Case Study of Using Solr in E-Commerce
Creating an AutoSuggest feature
Facet navigation
Search filtering and sorting
Relevancy boosting
Summary
Index
Index

About the Authors

Sachin Handiekar is a senior software developer with over 5 years of experience in Java EE development. He graduated in computer science from the University of Greenwich, London, and currently works for a global consulting company, developing enterprise applications using various open source technologies, such as Apache Camel, ServiceMix, ActiveMQ, and ZooKeeper.

He has a lot of interest in open source projects and has contributed code to Apache Camel and developed plugins for the Spring Social, which can be found on GitHub at https://github.com/sachin-handiekar.

He also actively writes about enterprise application development on his blog (http://www.sachinhandiekar.com/).

Anshul Johri has more than 10 years of technical experience in software engineering. He did his masters in computer science from the computer science department in the University of Pune. Anshul has always been a start-up mindset guy, working on fast-paced development using cutting-edge technologies and doing multiple things at a time. His core strength has always been search technology, whereby Solr plays an important role in his career. Anshul started using Solr around 9 years ago, and since then, he has never looked back. He did better and better with Solr, whether using it or contributing to the open source search community. He has used Solr extensively in all his organizations across various projects.

As mentioned earlier, Anshul has always been a start-up mindset guy. Because of that, he has worked with many start-ups in his career so far, which includes early-age and mid-size start-ups as well. To name a few, they are Ibibo.com, Asklaila.com, Bookadda.com, and so on. His last company was Amazon, where he spent around 2 years building scalable systems for Amazon Prime (a global product). Anshul recently started his own company in India with another friend from Amazon and founded http://www.rentomo.com/, a unique concept of a peer-to-peer sharing platform in a trusted community. He heads the technology and other core pillars of his own start-up.

Anshul did the technical review of the book Indexing with Solr, published by Packt Publishing.

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