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Apache Solr for Indexing Data

You're reading from Apache Solr for Indexing Data Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

Product type Paperback

Published in Dec 2015

Publisher

ISBN-13 9781783553235

Length 160 pages

Edition 1st Edition

Tools

Solr

Concepts

Databases

Author (1):

Anshul Johri

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Understanding Analyzers, Tokenizers, and Filters

3. Indexing Data

4. Indexing Data – The Basic Technique and Using Index Handlers

5. Indexing Data with the Help of Structured Datasources – Using DIH

6. Indexing Data Using Apache Tika

7. Apache Nutch

8. Commits, Real-Time Index Optimizations, and Atomic Updates

9. Advanced Topics – Multilanguage, Deduplication, and Others

10. Distributed Indexing

11. Case Study of Using Solr in E-Commerce

Index

Summary

In this chapter, we covered the various features of Solr that can be used in an e-commerce website to provide a better user experience while searching results. Solr being open source provides an easy way to plug new features into it.

This chapter covered mostly the common features that are used in e-commerce and how to recreate those features in Solr.

This is the last chapter of the book, and we've now covered the various ways in which we can index data in Solr. This should give us enough skills to use this indexing feature of Solr in some real-life projects (for example, web crawlers, e-commerce websites, extracting data from word documents, and so on). Also, there are lots of books and online resources that will be useful for you all to get a deeper understanding of the features that have been discussed in this book.

The rest of the chapter is locked

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Authors (2)

Handiekar

Handiekar

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/).

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Johri

Johri

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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