By David Smiley, Eric Pugh

Enhance your seek with faceted navigation, consequence highlighting, relevancy ranked sorting, and more
* finished info on Apache Solr three with examples and suggestions so that you can concentrate on the real parts
* Integration examples with databases, web-crawlers, XSLT, Java & embedded-Solr, Hypertext Preprocessor & Drupal, JavaScript, Ruby frameworks
* suggestion on information modeling, deployment issues to incorporate safety, logging, and tracking, and suggestion on scaling Solr and measuring performance
* An replace of the best-selling identify on Solr 1.4

In Detail

If you're a developer construction an app this present day then you definitely know the way very important an exceptional seek event is. Apache Solr, outfitted on Apache Lucene, is a wildly well known open resource firm seek server that simply gives you strong seek and faceted navigation gains which are elusive with databases. Solr helps advanced seek standards, faceting, outcome highlighting, query-completion, question spell-check, relevancy tuning, and more.

Apache Solr three firm seek Server is a entire reference advisor for each function Solr has to provide. It serves the reader correct from initiation to improvement to deployment. It additionally comes with whole operating examples to illustrate its use and exhibit tips to combine Solr with different languages and frameworks.

Through utilizing a wide set of metadata approximately artists, releases, and tracks courtesy of the venture, you might have a checking out flooring for Solr, and may the right way to import this knowledge in a number of methods. you'll then how you can seek this information in numerous methods, together with Solr's wealthy question syntax and "boosting" fit ratings in response to list data.

Finally, we'll hide a number of deployment issues to incorporate indexing innovations and performance-oriented configuration that would help you scale Solr to fulfill the desires of a high-volume site.

What you are going to study from this book
* layout a schema to incorporate textual content indexing info like tokenization, stemming, and synonyms
* Import information utilizing quite a few codecs like CSV, XML, and from databases, and extract textual content from universal record formats
* seek utilizing Solr's wealthy question syntax, practice geospatial searches, and impact relevancy order
* improve seek effects with faceting, question spell-checking, auto-completing queries, highlighted seek effects, and more
* combine a number of applied sciences with Solr from the server part to client-side JavaScript, to frameworks like Drupal
* Scale Solr by way of studying the right way to music it and the way to take advantage of replication and sharding


The publication is written as a reference consultant. It comprises totally operating examples in accordance with a real-world public information set.

Who this ebook is written for

This booklet is for builders who are looking to easy methods to use Apache Solr of their functions. in basic terms easy programming abilities are needed.

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Extra info for Apache Solr 3 Enterprise Search Server

Example text

Aside from the fundamental parts of defining the fields, you may also notice elements, which copy an input field as provided to another field. There are various reasons for doing this, but they boil down to needing to index data in different ways for specific search purposes. You'll learn all that you could want to know about the schema in the next chapter. xml file contains lots of parameters that can be tweaked. At the moment, we're just going to take a peak at the request handlers, which are defined with elements.

This is also a demonstration of Solritas, which formats Solr requests using templates based on Apache Velocity. The templates are VM files in example/solr/conf/ velocity. Solritas is primarily for search UI prototyping. It is not recommended for building anything substantial. See Chapter 9, Integrating Solr for more information. The browse UI as supplied assumes the default example Solr schema. It will not work out of the box against another schema without modification. Here is a screenshot of the browse interface.

Simply type this word in and click on the Search button. 2&start=0&rows =10&indent=on Both this form and the Full Interface one are standard HTML forms; they are as simple as they come. The form inputs become URL parameters to another HTTP GET request which is a Solr search returning XML. The form only controls a basic subset of all possible parameters. The main benefit to the form is that it applies the URL escaping for special characters in the query, and for some basic options, you needn't remember what the parameter names are.

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