Packt is pleased to announce Solr 1.4 Enterprise Search Server, a new book that helps developers optimize their website for high volume web traffic with full-text search capabilities. Written by David Smiley and Eric Pugh, Solr 1.4 Enterprise Search Server is a practical reference guide that provides complete guidance on how to use this incredibly powerful tool effectively.
Solr is an Open Source enterprise search server based on the Lucene Java search library. Solr can be integrated with a host of technologies such as Java, JavaScript, Drupal, Ruby, XSLT, PHP, and Python. It also provides users with an enhanced search experience through features such as highlighting search results, spell-corrections, auto-suggest, and phonetic matching.
Solr 1.4 Enterprise Search Server starts off by giving readers a quick overview of Solr. The book helps readers learn how to map relational schemas to Solr’s schema and explains each of the ways in which data can be imported into Solr. From here the book gradually takes them from basic features such as the query syntax, to advanced features that helps enhance their search. Developers can further enhance their search with faceted navigation, result highlighting, and fuzzy queries.
A couple days ago, Acquia moved Acquia Search out of beta and made it available commercially available through their Acquia Network service. Acquia Search is a hosted search service based on the Software as a Service (SaaS) model. The technology supporting Acquia Search is based on the the Open Source Lucene and Solr distributions from the Apache project. While a free search module is already available in Drupal, as well as Acquia Drupal, Acquia Search is significantly different and geared toward the enterprise. Smaller but high traffic websites would also benefit from Acquia Search.
CMS Report has been beta testing Acquia Search for the past four months and we've had nothing but a positive experience with the service. In fact I feel as a beta tester I somehow didn't do my job since I didn't have any issues to report to Acquia. However, Acquia did acquire various usage statistics, email exchanges, and surveys from us that they still benefited from CMSReport.com's participation in the beta program. Since I know only enough about Drupal to be dangerous, if I can't break it then Acquia must be on the right track with this product.
Acquia used the first day of DrupalCon DC as well as their corporate site to announce the availability of their new service via a public beta program, Acquia Search. Acquia Search is "based on the powerful Lucene and Solr technologies from the Apache project" and "creates a rich index of your site content". While Apache Lucene and Apache Solr are "free" and open source, the implementation and maintenance of these products can be rather daunting. Acquia wishes to solve this complexity problem by offering Solr search as a service in their Acquia Network.
Before the beta was available to the public, CMSReport.com was invited by Jacob Singh to join the private beta program to test and review Acquia Search. I have only been using Acquia Search for a week so I still have some learning to do in order to take full advantage of the advanced configuration options in Apache Solr. Although I'm new to Apache Solr, I have to say that from a website owner's perspective the implementation of Apache Search was extremely easy. After I signed up for the service on the network, implementing Acquia Search within the Acquia Drupal CMS was just a matter of activating the appropriate modules and waiting for my content to be indexed by the server. Acquia Search works straight "out of the box" and I couldn't have asked for anything simpler.
The next major version of eZ Find, the Open Source search extension for eZ Publish,
has a number of new features such as: tuning of relevance rankings;
facets for drill-down search result navigation; spell checking and
suggestions on search phrases; and much more.
Based on the Apache Solr Open Source Enterprise Search server, eZ
Find greatly enhances the search functionality on eZ Publish sites. eZ
Find already included features such as relevance ranking, native
support for eZ Publish access rights, keyword highlighting,
sophisticated multi-language support, and the ability to search
multiple sites containing millions of objects.