
Apache Solr for Indexing Data
By :

Apache Solr for Indexing Data
By:
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.
Table of Contents (13 chapters)
Preface
1. Getting Started
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
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