If you order on Packt’s site then you can save a lot with these discount codes — good thru July 30th:
30% on Print books: ASESP30 20% on Ebooks: ASESE20 https://www.packtpub.com/big-data-and-business-intelligence/apache-solr-enterprise-search-server-third-edition ~ David On Mon, Jun 22, 2015 at 9:19 AM david.w.smi...@gmail.com < david.w.smi...@gmail.com> wrote: > Solr community, > > David Smiley, Eric Pugh, Kranti Parisa, and Matt Mitchell are happy to > *finally* announce the book “Apache Sor Enterprise Search Server, Third > Edition” by Packt Publishing. You can find links to buy it Packt’s site & > Amazon from our book’s official website: > > http://www.solrenterprisesearchserver.com > > Preface: > > If you are a developer building an application today, then you know how > important a good search experience is. Apache Solr, built on Apache Lucene, > is a wildly popular open source enterprise search server that easily > delivers the powerful search and faceted navigation features that are > elusive with databases. Solr supports complex search criteria, faceting, > result highlighting, query-completion, query spellcheck, relevancy tuning, > and more. > > Apache Solr Enterprise Search Server, Third Edition is a comprehensive > resource to almost everything Solr has to offer. It serves the reader right > from initiation to development to deployment. It also comes with complete > running examples to demonstrate its use and show how to integrate Solr with > other languages and frameworks — even Hadoop. > > By using a large set of metadata, including artists, releases, and tracks, > courtesy of the MusicBrainz.org project, you will have a testing ground for > Solr and will learn how to import this data in various ways. You will then > learn how to search this data in different ways, including Solr's rich > query syntax and boosting match scores based on record data. Finally, we'll > cover various deployment considerations to include indexing strategies and > performance-oriented configuration that will enable you to scale Solr to > meet the needs of a high-volume site. > > Solr 4 or Solr 5?: > > Apache Solr 4.8.1 is officially the version of Solr this book was written > for. Nonetheless, some of the features are discussed or referenced in the > later versions of Solr as far as 5.0. In fact, Chapter 1, Quick Starting > Solr, orients you to Solr 5, which has a different first-impression > experience than its predecessor. Once you get Solr running, you should be > able to follow along easily with Solr 5. In Chapter 10, Scaling Solr, there > are some SolrCloud startup commands that are a little different, and we've > pointed out how they change. The only substantial topic not covered in this > book that evolved through the Solr 4 point releases is data-driven > schemaless mode, and HTTP API calls to make schema changes. > > How this edition has improved: > > Solr 4 was Solr's biggest release ever. We updated the previous edition to > cover Solr 4, and some of Solr 5 -- particularly the part of Solr 5 that > needs to be covered most, the bin/solr script. Chapter 9, Integrating Solr, > now covers Hadoop integration, and better covers SolrJ. Chapter 3, Text > Analysis, introduces various approaches for implementing Multilingual > Search in your applications. And we think you'll appreciate the enhanced > coverage of the topic of query auto-suggesters (AKA query completion) in > Chapter 8, Search Components -- a feature that is important to most search > applications. This edition has two additional authors, Kranti & Matt, who > add their perspectives based on their experience working with Solr for a > long time. > > Who this book is for: > > This book is primarily for developers who want to learn how to use Apache > Solr in their applications. Only basic programming skills are assumed, > although the vast majority of content should be useful to those with a > solid technical foundation that have not yet programmed. > > ~ David Smiley, Eric Pugh, Kranti Parisa, and Matt Mitchell > > http://www.solrenterprisesearchserver.com > >
