What this book covers
Chapter 1, Understanding Apache Solr, introduces readers to Apache Solr as a search server. It discusses problems addressed by Apache Solr, its architecture, features, and, finally, covers different use cases for Solr.
Chapter 2, Getting Started with Apache Solr, focuses on setting up the first Apache Solr instance. It provides a detailed step-by-step guide for installing and configuring Apache Solr. It also covers connecting to Solr through SolrJ libraries.
Chapter 3, Analyzing Data with Apache Solr, covers some of the common enterprise search problems of bringing information from disparate sources and different information flow patterns to Apache Solr with minimal losses. It also covers advanced topics for Apache Solr such as deduplication, and searching through images.
Chapter 4, Designing Enterprise Search, introduces its readers to the various aspects of designing a search for enterprises. It covers topics pertaining to different data processing patterns of enterprises, integration patterns, and a case study of designing a knowledge repository for the software IT industry.
Chapter 5, Integrating Apache Solr, focuses on the integration aspects of Apache Solr with different applications that are commonly used in any enterprise. It also covers different ways in which Apache Solr can be introduced by the enterprise to its users.
Chapter 6, Distributed Search Using Apache Solr, starts with the need for distributed search for an enterprise, and it provides a deep dive to building distributed search using Apache SolrCloud. Finally, the chapter covers common problems and a case study of distributed search using Apache Solr for the software industry.
Chapter 7, Scaling Solr through Sharding, Fault Tolerance, and Integration, discusses various aspects of enabling enterprise Solr search server to scaling by means of sharding and search result clustering. It covers integration aspects of Solr with other tools such as MongoDB, Carrot2, and Storm to achieve the scalable search solution for an enterprise.
Chapter 8, Scaling Solr through High Performance, provides insights of how Apache Solr can be transformed into a high-performance search engine for an enterprise. It starts with monitoring for performance, and how the Solr application server can be tuned for performing better with maximum utilization of the available sources.
Chapter 9, Solr and Cloud Computing, focuses on enabling Solr on cloud-based infrastructure for scalability. It covers different Solr strategies for cloud, their applications, and deep dive into using Solr in different types of cloud environment.
Chapter 10, Scaling Solr Capabilities with Big Data, covers aspects of working with a very high volume of data (Big Data), and how Solr can be used to work with Big Data. It discusses how Apache Hadoop and its ecosystem can be used to build and run efficient Big Data enterprise search solutions.
Appendix, Sample Configuration for Apache Solr, provides a reference configuration for different Solr configuration files with detailed explanations.
