About This BookLearn about distributed indexing and real-time optimization to change index data on flyIndex data from various sources and web crawlers using built-in analyzers and tokenizersThis step-by-step guide is packed with real-life examples on indexing dataWho This Book Is ForThis book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected.What You Will LearnGet to know the basic features of Solr indexing and the analyzers/tokenizers availableIndex XML/JSON data in Solr using the HTTP Post tool and cURL commandWork with Data Import Handler to index data from a databaseUse Apache Tika with Solr to index word documents, PDFs, and much moreUtilize Apache Nutch and Solr integration to index crawled data from web pagesUpdate indexes in real-time data feedsDiscover techniques to index multilanguage and distributed data in SolrCombine the various indexing techniques into a real-life working example of an online shopping web applicationIn DetailApache 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.This fast-paced guide starts by helping you set up Solr. You'll quickly move on to indexing text and boosting the indexing time. Next, you'll focus on basic techniques for indexing a structured data source through Data Import Handler.Moving on, you will learn techniques to perform real-time indexing and atomic updates. 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.