Apache Solr Search Patterns
- Length: 250 pages
- Edition: 1
- Language: English
- Publisher: Packt Publishing
- Publication Date: 2015-03-31
- ISBN-10: 1783981849
- ISBN-13: 9781783981847
- Sales Rank: #425633 (See Top 100 Books)
Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently
About This Book
- Learn the best use cases for using Solr in e-commerce, advertising, real-estate, and other sites
- Explore Solr internals and customize the scoring algorithm in Solr
- This is an easy-to-follow book with a step-by-step approach to help you get the best out of Solr search patterns
Who This Book Is For
This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you.
It would be helpful if you are familiar with the Java programming language.
In Detail
Apache Solr is an open source search platform built on a Java library called Lucene. It serves as a search platform for many websites, as it has the capability of indexing and searching multiple websites to fetch desired results.
We begin with a brief introduction of analyzers and tokenizers to understand the challenges associated with implementing large-scale indexing and multilingual search functionality. We then move on to working with custom queries and understanding how filters work internally. While doing so, we also create our own query language or Solr plugin that does proximity searches. Furthermore, we discuss how Solr can be used for real-time analytics and tackle problems faced during its implementation in e-commerce search. We then dive deep into the spatial features such as indexing strategies and search/filtering strategies for a spatial search. We also do an in-depth analysis of problems faced in an ad serving platform and how Solr can be used to solve these problems.
Table of Contents
Chapter 1. Solr Indexing Internals
Chapter 2. Customizing the Solr Scoring Algorithm
Chapter 3. Solr Internals and Custom Queries
Chapter 4. Solr for Big Data
Chapter 5. Solr in E-commerce
Chapter 6. Solr for Spatial Search
Chapter 7. Using Solr in an Advertising System
Chapter 8. AJAX Solr
Chapter 9. SolrCloud
Chapter 10. Text Tagging with Lucene FST