Welcome to Apache Solr for Indexing Data. Solr is an amazing enterprise tool that gives us a search engine with various possibilities to index data and gives users a better experience. This book will cover the various indexing methods that we can use to improve the indexing process by covering step-by-step examples.
The book is all about indexing in Solr, and we'll cover all the possible topics in Solr that developers can use in their use cases by following simple examples.
Chapter 1, Getting Started, covers the basic setup and installation needed to run Solr. It also covers the directory structure and the main configuration files used by Solr.
Chapter 2, Understanding Analyzers, Tokenizers, and Filters, shows you the basic building blocks of Solr, such as analyzers, tokenizers, and filters. These help in the indexing of data. This chapter also covers the most commonly used components in detail and how they work together.
Chapter 3, Indexing Data, helps you get a better understanding of how indexing works in Solr by building a real-life example that covers various aspects, for example, the copy field, facet, indexing time boosting, and so on.
Chapter 4, Indexing Data – The Basic Techniques and Using Index Handlers, covers various techniques by which we can index data in Solr. This chapter explains the various request handlers that are used by Solr to index CSV, JSON, and XML data type documents.
Chapter 5, Indexing Data Using Structured Datasource Using DIH, covers how we can use indexed data from a database by using the data import handler available in Solr.
Chapter 6, Indexing Data Using Apache Tika, illustrates the integration of Apache Tika with Solr for the indexing of documents.
Chapter 7, Apache Nutch, covers the integration of Apache Nutch with Solr for indexing crawl data from the Internet.
Chapter 8, Commits, Real-Time Index Optimizations, and Atomic Updates, shows us how we can use the real-time indexing features available in Solr and utilize these features to provide a real-time search experience.
Chapter 9, Advanced Topics – Multilanguage, Deduplication, and Others, covers advanced topics such as indexing multilanguage documents and removing duplicate documents from Solr.
Chapter 10, Distributed Indexing, tells us how we can utilize SolrCloud to provide a high-availability and fault-tolerant cluster.
Chapter 11, Case Study of Using Solr in E-Commerce, covers a case study by going through easy-to-use, simple examples that can be used in an e-commerce website.