New PDF release: Apache Solr 3 Enterprise Search Server

By David Smiley, Eric Pugh

ISBN-10: 1849516065

ISBN-13: 9781849516068

Enhance your seek with faceted navigation, consequence highlighting, relevancy ranked sorting, and more
* finished details on Apache Solr three with examples and suggestions so that you can concentrate on the $64000 parts
* Integration examples with databases, web-crawlers, XSLT, Java & embedded-Solr, Hypertext Preprocessor & Drupal, JavaScript, Ruby frameworks
* suggestion on facts modeling, deployment concerns 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 you then understand how very important a very good seek adventure is. Apache Solr, equipped on Apache Lucene, is a wildly well known open resource company seek server that simply promises strong seek and faceted navigation positive factors which are elusive with databases. Solr helps complicated seek standards, faceting, end result highlighting, query-completion, question spell-check, relevancy tuning, and more.

Apache Solr three company 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 entire working examples to illustrate its use and convey tips on how to combine Solr with different languages and frameworks.

Through utilizing a wide set of metadata approximately artists, releases, and tracks courtesy of the MusicBrainz.org venture, you may have a trying out flooring for Solr, and may the way to import this information in quite a few methods. you are going to then how you can seek this knowledge in several methods, together with Solr's wealthy question syntax and "boosting" fit rankings according to checklist data.

Finally, we'll conceal numerous deployment issues to incorporate indexing techniques and performance-oriented configuration that would assist you scale Solr to fulfill the desires of a high-volume site.

What you are going to research from this book
* layout a schema to incorporate textual content indexing info like tokenization, stemming, and synonyms
* Import facts utilizing a number of 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 impression relevancy order
* improve seek effects with faceting, question spell-checking, auto-completing queries, highlighted seek effects, and more
* combine a bunch of applied sciences with Solr from the server facet to client-side JavaScript, to frameworks like Drupal
* Scale Solr through studying the right way to song it and the way to take advantage of replication and sharding

Approach

The publication is written as a reference advisor. It contains absolutely operating examples in keeping with a real-world public information set.

Who this publication is written for

This booklet is for builders who are looking to find out how to use Apache Solr of their purposes. purely easy programming abilities are needed.

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Extra resources for Apache Solr 3 Enterprise Search Server

Sample text

36 ] Chapter 2 Step 3: Denormalize related data For each entity type, find all of the data in the schema that will be needed across all searches of it. By "all searches of it," I mean that there might actually be multiple search forms, as identified in Step 1. Such data includes any data queried for (that is, criteria to determine whether a document matches or not) and any data that is displayed in the search results. The end result of denormalization is to have each document sufficiently self-contained, even if the data is duplicated across the index(es).

Solr falls short in all of these areas but I want to call attention to these: • No updates: If any part of a document in Solr needs to be updated, the entire document must be replaced. Internally, this is a deletion and an addition. • Slow commits: Solr's search performance and certain features are made possible due to extensive caches. When a commit operation is done to finalize recently added documents, the caches are rebuilt. This can take between seconds and a minute or even worse in extreme cases.

Into an index, just because you wanted a simple statistical list of top voters. It's just not worth it! One objective guide to help you decide on whether to put an entity in Solr or not is to ask yourself if users will ever be doing a text search on that entity—a feature where index technology stands out from databases. If not, then you probably don't want the entity in your Solr index. xml file Let's finally explore a Solr schema. xml file to follow along. This file belongs in the conf directory for a Solr instance configuration.

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Apache Solr 3 Enterprise Search Server by David Smiley, Eric Pugh


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