Creating a small prototype of searches to test real data is a good way to identify a path for acquiring knowledge for a beginner when starting with new technologies. A prototype is indeed a working example that we can create at the beginning, even when we do not have a final analysis of the data model, or a complete collection of real data. This is useful to fix ideas, to test on 'almost real' data, and to create shared knowledge with the team, while doing tests. While dealing with real-world text, the kind of queries needed and the expected behaviors often appear to be clear by intuition, and we are able to eventually study how to specifically resolve them properly, one at a time. This is probably not that far from what you would discuss with your team and your clients or customers, too, and in this sense Solr can be used as a good tool to get them more involved in your design methodologies, especially if you use some kind of incremental development...
Apache Solr Beginner's Guide
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Apache Solr Beginner's Guide
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Overview of this book
<p>With over 40 billion web pages, the importance of optimizing a search engine's performance is essential.<br /><br />Solr is an open source enterprise search platform from the Apache Lucene project. Full-text search, faceted search, hit highlighting, dynamic clustering, database integration, and rich document handling are just some of its many features. Solr is highly scalable thanks to its distributed search and index replication.<br /><br />Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Apache Tomcat or Jetty. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable with most popular programming languages. Solr's powerful external configuration allows it to be tailored to many types of application without Java coding, and it has a plugin architecture to support more advanced customization.<br /><br />With Apache Solr Beginner's Guide you will learn how to configure your own search engine experience. Using real data as an example, you will have the chance to start writing step-by-step, simple, real-world configurations and understand when and where to adopt this technology.<br /><br />Apache Solr Beginner's Guide will start by letting you explore a simple search over real data. You will then go through a step-by-step description that gives you the chance to explore several practical features. At the end of the book you will see how Solr is used in different real-world contexts.<br /><br />Using data from public domains like DBpedia, you will define several different configurations, exploring some of the most interesting Solr features, such as faceted search and navigation, auto-suggestion, and rich document indexing. You will see how to configure different analysers for handling different data types, without programming.<br /><br />You will learn the basics of Solr, focusing on real-world examples and practical configurations.</p>
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Table of Contents (19 chapters)
Apache Solr Beginner's Guide
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Ready with the Essentials
Indexing with Local PDF Files
Indexing Example Data from DBpedia – Paintings
Searching the Example Data
Extending Search
Using Faceted Search – from Searching to Finding
Working with Multiple Entities, Multicores, and Distributed Search
Indexing External Data sources
Introducing Customizations
Solr Clients and Integrations
Pop Quiz Answers
Index
Customer Reviews