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Posted to solr-user@lucene.apache.org by "Smiley, David W." <ds...@mitre.org> on 2009/08/18 16:09:50 UTC
[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-server
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
RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Posted by Fuad Efendi <fu...@efendi.ca>.
Ok, some improvement; "Faceting" as an end-user interface feature (or may be
"Filtering"?):
A. Faceting (for further filtering)
1. We are counting "facets"
2. Sorting by "counts" in descending order
3. Presenting top-N to user for possible filtering/narrowing search results
B.
"Simplified Lucene" (with default operator "AND"):
1. For each term, find DocSet
2. Calculate DocSet intersections
If we can avoid calculating "counts" for facets, and sorting by counts...
Just list of related filters to narrow search results...
P.S.
Faceting on "country" field with 10 possible values still takes 20-30
seconds for a query id:[* TO *] (100 mlns docs), although obviously it can
use FilterCache without any calcs!
Fuad Efendi
==================================
http://www.linkedin.com/in/liferay
http://www.tokenizer.org
http://www.casaGURU.com
==================================
-----Original Message-----
From: Fuad Efendi [mailto:fuad@efendi.ca]
Sent: August-21-09 11:42 AM
To: solr-user@lucene.apache.org; yonik@lucidimagination.com
Subject: RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server
>actually a hybrid that goes back to DocSet intersections when it's more
efficient
I noticed that too when I played with it, for large query results DocSet
intersections are de-facto standard; but when "faceting" started CNET had
only 400,000 documents :)
Nowadays even 2-3 seconds response time is bad... may be storing all users'
queries and executing some tasks on background (storing "facets" in a
database similar to heavy warehouse, predicting facet counts depending on
query terms and domain analysis, and etc)?
On Fri, Aug 21, 2009 at 11:25 AM, Fuad Efendi<fu...@efendi.ca> wrote:
> I was joking [off-topic]; "faceting" as a DocSet intersections' replaced
by
> trivial term count calcs which is extremely faster in some (if not all)
use
> cases, including possibly even NON-tokenized (with standard faceting we
can
> use FilterCache)...
One size does not fit all. The enum method is not outdated or
deprecated, and still works better in some scenarios. The new
faceting code is actually a hybrid that goes back to DocSet
intersections when it's more efficient.
-Yonik
http://www.lucidimagination.com
Re: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server
Posted by Jason Rutherglen <ja...@gmail.com>.
It seems possible to cache the results of facet queries on a per
segment basis, providing the caching you're describing.
On Fri, Aug 21, 2009 at 8:42 AM, Fuad Efendi<fu...@efendi.ca> wrote:
>>actually a hybrid that goes back to DocSet intersections when it's more
> efficient
>
> I noticed that too when I played with it, for large query results DocSet
> intersections are de-facto standard; but when "faceting" started CNET had
> only 400,000 documents :)
> Nowadays even 2-3 seconds response time is bad... may be storing all users'
> queries and executing some tasks on background (storing "facets" in a
> database similar to heavy warehouse, predicting facet counts depending on
> query terms and domain analysis, and etc)?
>
>
> On Fri, Aug 21, 2009 at 11:25 AM, Fuad Efendi<fu...@efendi.ca> wrote:
>> I was joking [off-topic]; "faceting" as a DocSet intersections' replaced
> by
>> trivial term count calcs which is extremely faster in some (if not all)
> use
>> cases, including possibly even NON-tokenized (with standard faceting we
> can
>> use FilterCache)...
>
> One size does not fit all. The enum method is not outdated or
> deprecated, and still works better in some scenarios. The new
> faceting code is actually a hybrid that goes back to DocSet
> intersections when it's more efficient.
>
> -Yonik
> http://www.lucidimagination.com
>
>
>
RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Posted by Fuad Efendi <fu...@efendi.ca>.
>actually a hybrid that goes back to DocSet intersections when it's more
efficient
I noticed that too when I played with it, for large query results DocSet
intersections are de-facto standard; but when "faceting" started CNET had
only 400,000 documents :)
Nowadays even 2-3 seconds response time is bad... may be storing all users'
queries and executing some tasks on background (storing "facets" in a
database similar to heavy warehouse, predicting facet counts depending on
query terms and domain analysis, and etc)?
On Fri, Aug 21, 2009 at 11:25 AM, Fuad Efendi<fu...@efendi.ca> wrote:
> I was joking [off-topic]; "faceting" as a DocSet intersections' replaced
by
> trivial term count calcs which is extremely faster in some (if not all)
use
> cases, including possibly even NON-tokenized (with standard faceting we
can
> use FilterCache)...
One size does not fit all. The enum method is not outdated or
deprecated, and still works better in some scenarios. The new
faceting code is actually a hybrid that goes back to DocSet
intersections when it's more efficient.
-Yonik
http://www.lucidimagination.com
Re: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server
Posted by Yonik Seeley <yo...@lucidimagination.com>.
On Fri, Aug 21, 2009 at 11:25 AM, Fuad Efendi<fu...@efendi.ca> wrote:
> I was joking [off-topic]; "faceting" as a DocSet intersections' replaced by
> trivial term count calcs which is extremely faster in some (if not all) use
> cases, including possibly even NON-tokenized (with standard faceting we can
> use FilterCache)...
One size does not fit all. The enum method is not outdated or
deprecated, and still works better in some scenarios. The new
faceting code is actually a hybrid that goes back to DocSet
intersections when it's more efficient.
-Yonik
http://www.lucidimagination.com
RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Posted by Fuad Efendi <fu...@efendi.ca>.
I was joking [off-topic]; "faceting" as a DocSet intersections' replaced by
trivial term count calcs which is extremely faster in some (if not all) use
cases, including possibly even NON-tokenized (with standard faceting we can
use FilterCache)...
http://issues.apache.org/jira/browse/SOLR-475
(and probably http://issues.apache.org/jira/browse/SOLR-711)
It took several years to find this...
http://www.packtpub.com/solr-1-4-enterprise-search-server/book/sr/solr-serve
r-abr1/0809?utm_source=sr_solr_server_abr1_0809&utm_medium=content&utm_campa
ign=sanjay
£13.29 for PDF, 30% discount!!!
-----Original Message-----
From: Smiley, David W. [mailto:dsmiley@mitre.org]
Sent: August-19-09 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-serve
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
RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Posted by "Chenini, Mohamed " <MC...@geico.com>.
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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RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server
Posted by "Smiley, David W." <ds...@mitre.org>.
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-serve
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
RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server
Posted by Fuad Efendi <fu...@efendi.ca>.
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-serve
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
Re: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search
Server
Posted by Shalin Shekhar Mangar <sh...@gmail.com>.
Fantastic! This is great news for Solr! Congratulations!
You might want to post this to the general-lucene mailing list and the
linkedin group too.
On Tue, Aug 18, 2009 at 7:39 PM, Smiley, David W. <ds...@mitre.org> wrote:
> 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-server
>
> 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
>
--
Regards,
Shalin Shekhar Mangar.