Apache Solr for Indexing Data: Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

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Key benefits

Learn about distributed indexing and real-time optimization to change index data on fly

Index data from various sources and web crawlers using built-in analyzers and tokenizers

This step-by-step guide is packed with real-life examples on indexing data

Description

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.

What you will learn

Get to know the basic features of Solr indexing and the analyzers/tokenizers available

Index XML/JSON data in Solr using the HTTP Post tool and CURL command

Work with Data Import Handler to index data from a database

Use Apache Tika with Solr to index word documents, PDFs, and much more

Utilize Apache Nutch and Solr integration to index crawled data from web pages

Update indexes in real-time data feeds

Discover techniques to index multi-language and distributed data in Solr

Combine the various indexing techniques into a real-life working example of an online shopping web application

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Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Apache Solr for Indexing Data: Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

What do you get with eBook?