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Solr 1.4 Enterprise Search Server
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The book takes a tutorial approach with fully working examples. It will show you how to implement a Solr-based search engine on your intranet or web site. This book is for developers who would like to use Solr for their applications. You only need to have basic programming skills to use Solr. Knowledge of Lucene is certainly a bonus.
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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Kundenrezensionen
Die hilfreichsten Kundenrezensionen
1 von 4 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
Genau so trocken, wie man es erwarten würde, ist dieses Buch auch.
Ein Lesefluss kommt überhaupt nicht zu Stande und viele Seiten bestehen fast nur aus XML Schnipseln.
Schon lange kein IT Buch mehr gelesen, was so harte Kost war...
Ein Lesefluss kommt überhaupt nicht zu Stande und viele Seiten bestehen fast nur aus XML Schnipseln.
Schon lange kein IT Buch mehr gelesen, was so harte Kost war...
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com:
9 Rezensionen
20 von 20 Kunden fanden die folgende Rezension hilfreich
The One, The Only...but still surprsingly good
24. September 2009
Format:Taschenbuch
A required tome for anyone working with Solr. It is recent - actually, it is ahead of the curve - covering Solr 1.4 which is not even GA from apache yet (as of September 2009).
This is the only book for Solr. Literally -- nobody else has written one yet. Despite the lack of competition, the authors have done a good job putting some useful and new information to paper.
The book covers Solr and SolrJ - the embedded Java client API - and even provides some instruction on integration/embedding into your own Java app instead of using it as a stand-alone HTTP server. This capability exists but reference code and documentation is all but nil in the official docs. Performance tuning and replication are also covered. Generally, this book gives you what you need to make use fo the key (and some sideline) features of Solr so you can get it working for you.
And a big plus: no huge appendices of Javadoc that are useful only to increase page counts to make you feel you are getting 'value'. Really, who refers to Javadoc at the back of a book? I thank the authors and publishers for avoiding this temptation.
But the book does suffer from a problem inherent in tech publications: the assumption that the reader will start on page 1 and move forward. It tries to teach by creating one monolithic application that is spread throughout 300 pages. This is annoying if you start on chapter 8 as much context is lost. Also, these types of books spend too much time focused on the example application code and not enough time talking about the book topic. In the case of this book, the authors use a music database as their example application -- and spend many, may pages talking ancillary garbage about the music metadata, objects and the applications needed to download/use it. I don't care about how to use MusicBrainz. Really.
My free advice to publishers: develop your monolithic reference applications and post them to your website. Refer to them in your books, but use the pages otherwise wasted on music metadata trivia to show two or three alternate ways of using Solr, instead of the one that fits your fictional use case.
Summary:
Solr has real potential but like most open source projects is sorely missing documentation and reference implementations. Like always, you could crawl the source to figure it out yourself ("What Would Stallman Do?") or buy this book. Frankly, my time is worth more than the book. I'd rather crawl through my own source.
While the authors get caught in the all-too-common approach of extending a single fictional use case throughout the entire book (hate that) - forcing too many pages to focus on the context of their use case and fewer pages on Solr - they do deliver enough of the goods to earn four stars. It would be five if they dropped the extraneous junk and used more pages for the core Solr product.
NB: I love Amazon but am going to point you to the publisher's website on this one. There you get the hardcopy book PLUS an immediately downloadable, password-free, copy-and-paste friendly eBook for about the cost of the paper version alone. I travel a lot and the eBook is amazingly helpful.
Amazon: add the eBook (not Kindle, I need this on my laptop).
This is the only book for Solr. Literally -- nobody else has written one yet. Despite the lack of competition, the authors have done a good job putting some useful and new information to paper.
The book covers Solr and SolrJ - the embedded Java client API - and even provides some instruction on integration/embedding into your own Java app instead of using it as a stand-alone HTTP server. This capability exists but reference code and documentation is all but nil in the official docs. Performance tuning and replication are also covered. Generally, this book gives you what you need to make use fo the key (and some sideline) features of Solr so you can get it working for you.
And a big plus: no huge appendices of Javadoc that are useful only to increase page counts to make you feel you are getting 'value'. Really, who refers to Javadoc at the back of a book? I thank the authors and publishers for avoiding this temptation.
But the book does suffer from a problem inherent in tech publications: the assumption that the reader will start on page 1 and move forward. It tries to teach by creating one monolithic application that is spread throughout 300 pages. This is annoying if you start on chapter 8 as much context is lost. Also, these types of books spend too much time focused on the example application code and not enough time talking about the book topic. In the case of this book, the authors use a music database as their example application -- and spend many, may pages talking ancillary garbage about the music metadata, objects and the applications needed to download/use it. I don't care about how to use MusicBrainz. Really.
My free advice to publishers: develop your monolithic reference applications and post them to your website. Refer to them in your books, but use the pages otherwise wasted on music metadata trivia to show two or three alternate ways of using Solr, instead of the one that fits your fictional use case.
Summary:
Solr has real potential but like most open source projects is sorely missing documentation and reference implementations. Like always, you could crawl the source to figure it out yourself ("What Would Stallman Do?") or buy this book. Frankly, my time is worth more than the book. I'd rather crawl through my own source.
While the authors get caught in the all-too-common approach of extending a single fictional use case throughout the entire book (hate that) - forcing too many pages to focus on the context of their use case and fewer pages on Solr - they do deliver enough of the goods to earn four stars. It would be five if they dropped the extraneous junk and used more pages for the core Solr product.
NB: I love Amazon but am going to point you to the publisher's website on this one. There you get the hardcopy book PLUS an immediately downloadable, password-free, copy-and-paste friendly eBook for about the cost of the paper version alone. I travel a lot and the eBook is amazingly helpful.
Amazon: add the eBook (not Kindle, I need this on my laptop).
4 von 4 Kunden fanden die folgende Rezension hilfreich
A Good Book that Helped me go from 0 to Production
14. Oktober 2009
Format:Taschenbuch|Von Amazon bestätigter Kauf
I bought this book after reading different Solr guides and tutorials. The problem with the guides and tutorials is they did not do a good enough job of explaining what the different Solr terminology was. Faceting, Multiple Cores, etc.
This book started out a bit slow, but was pretty well organized. It showed numerous ways of bringing data into Solr, and numerous ways of getting data out. The publisher lets you download the source code and data on their site, and you can stick that into Solr.
I also like the fact that the book is pretty recent. I could not find anything in the book which had become "deprecated". All in all, the book helped me go from knowing nothing about Solr, to going live in 2-3 weeks which is pretty darn good.
This book started out a bit slow, but was pretty well organized. It showed numerous ways of bringing data into Solr, and numerous ways of getting data out. The publisher lets you download the source code and data on their site, and you can stick that into Solr.
I also like the fact that the book is pretty recent. I could not find anything in the book which had become "deprecated". All in all, the book helped me go from knowing nothing about Solr, to going live in 2-3 weeks which is pretty darn good.
3 von 3 Kunden fanden die folgende Rezension hilfreich
Shaved 2 weeks off my project
8. Juli 2010
Format:Taschenbuch|Von Amazon bestätigter Kauf
Coming from a PHP Web Development background, I have had little experience using Java on web development projects. Although I am quite familiar with the language, it has been a good 6 years since I really used Java. This book was exactly what I needed to get a powerful search engine up and running for my system. I have an application with 200,000 products that must be searchable. Millions of options and billions of combinations make for a fairly complex system. Solr was the right way to go, but online documentation just didn't cut it. "Solr 1.4 Enterprise Search Server" explained everything I needed to know in a way that was not difficult to understand. Although the book was written before Solr 1.4 was released, the authors did a good job of keeping the content relevant and mention potential hiccups when 1.4 would be released. There is a decent section on implementation with PHP and Ruby.
I'm giving this book 4 stars only because I think the authors could have done a better job explaining the process and best practices for going into a production mode with Solr.
If you are looking to build a fast and accurate search engine for large amounts of data, Solr is the way to go and this book will help you.
I'm giving this book 4 stars only because I think the authors could have done a better job explaining the process and best practices for going into a production mode with Solr.
If you are looking to build a fast and accurate search engine for large amounts of data, Solr is the way to go and this book will help you.
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