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From "Chenini, Mohamed " <MChen...@geico.com>
Subject RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Date Thu, 20 Aug 2009 21:04:34 GMT
Hi,

Is there any promotional code I may use to get a discount?

Thanks,
Mohamed

-----Original Message-----
From: Smiley, David W. [mailto:dsmiley@mitre.org] 
Sent: Wednesday, August 19, 2009 12:38 AM
To: solr-user@lucene.apache.org
Subject: RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise
Search Server

Hi Faud.

It's true I didn't publicize its release beforehand; I have no idea if
it is normal to do so or not.  I guess I'm a bit shy.

I honestly have no clue what you're referring to as the successor to the
"faceting" term.

~ David Smiley
________________________________________
From: Fuad Efendi [fuad@efendi.ca]
Sent: Tuesday, August 18, 2009 10:39 PM
To: solr-user@lucene.apache.org
Subject: RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise
Search Server

Some very smart guys at Hadoop even posted some discount codes at WIKI,
and
it's even possible to buy in-advance not published yet chapters :) -
everything changes extremely quick...


Why did you keeep it in secret? Waiting for SOLR-4.1 :))) - do you still
use
outdated pre-1.4 "faceting" term in your book?

Congratulations!



-----Original Message-----
From: Smiley, David W. [mailto:dsmiley@mitre.org]
Sent: August-18-09 10:10 AM
To: solr
Subject: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server

Fellow Solr users,

I've finally finished the book "Solr 1.4 Enterprise Search Server" with
my
co-author Eric.  We are proud to present the first book on Solr and hope
you
find it a valuable resource.   You can find full details about the book
and
purchase it here:
http://www.packtpub.com/solr-1-4-enterprise-search-server/book
It can be pre-ordered at a discount now and should be shipping within a
week
or two.  The book is also available through Amazon.  You can feel good
about
the purchase knowing that 5% of each sale goes to support the Apache
Software Foundation.  For a free sample, there is a portion of chapter 5
covering faceting available as an article online here:
http://www.packtpub.com/article/faceting-in-solr-1.4-enterprise-search-s
erve
r

By the way, we realize Solr 1.4 isn't out [quite] yet.  It is
feature-frozen
however, and there's little in the forthcoming release that isn't
covered in
our book.  About the only notable thing that comes to mind is the
contrib
module on search result clustering.  However Eric plans to write a free
online article available from Packt Publishing on that very subject.

"Solr 1.4 Enterprise Search Server" In Detail:

If you are a developer building a high-traffic web site, you need to
have a
terrific search engine. Sites like Netflix.com and Zappos.com employ
Solr,
an open source enterprise search server, which uses and extends the
Lucene
search library. This is the first book in the market on Solr and it will
show you how to optimize your web site for high volume web traffic with
full-text search capabilities along with loads of customization options.
So,
let your users gain a terrific search experience

This book is a comprehensive reference guide for every feature 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 it with other languages and frameworks

This book first gives you a quick overview of Solr, and then gradually
takes
you from basic to advanced features that enhance your search. It starts
off
by discussing Solr and helping you understand how it fits into your
architecture-where all databases and document/web crawlers fall short,
and
Solr shines. The main part of the book is a thorough exploration of
nearly
every feature that Solr offers. To keep this interesting and realistic,
we
use a large open source set of metadata about artists, releases, and
tracks
courtesy of the MusicBrainz.org project. Using this data as a testing
ground
for Solr, you will learn how to import this data in various ways from
CSV to
XML to database access. You will then learn how to search this data in a
myriad of ways, including Solr's rich query syntax, "boosting" match
scores
based on record data and other means, about searching across multiple
fields
with different boosts, getting facets on the results, auto-complete user
queries, spell-correcting searches, highlighting queried text in search
results, and so on.

After this thorough tour, we'll demonstrate working examples of
integrating
a variety of technologies with Solr such as Java, JavaScript, Drupal,
Ruby,
XSLT, PHP, and Python.

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


Sincerely,

David Smiley (primary-author)
            dsmiley@mitre.org
Eric Pugh (co-author)
            epugh@opensourceconnections.com
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