Posts Tagged ‘Lucene’

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JTeam Partners with New Relic to Provide Application Performance Management for Solr Enterprise Search Server

May 11th, 2010 by Jenny Nguyen
(http://blog.jteam.nl/2010/05/11/jteam-partners-with-new-relic-to-provide-application-performance-management-for-solr-enterprise-search-server/)

JTeam will now offer leading on-demand APM tool to monitor, troubleshoot and optimize deployments of Solr search server

JTeam today announced that it has partnered with New Relic, Inc., to make New Relic RPM available to its clients during consulting engagements. JTeam consultants and clients can now use RPM collaboratively to monitor, troubleshoot, and optimize live production web applications and Solr instances, and thus ensure successful application deployments and a superior Web user experience.

New Relic, Inc. is the leading software-as-a-service provider of application performance management (APM) solutions. Its flagship product, New Relic RPM, is an on-demand performance management solution for web applications developed in Java, Ruby, or JRuby and provides deep, 24×7 visibility and code-level diagnostics for web applications deployed on traditional, dedicated infrastructures or in the cloud. New Relic recently announced RPM’s ability to provide deep visibility into production Solr instances. To learn more about New Relic RPM and Solr monitoring go to http://www.newrelic.com/solr.html.

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Posted in Business | No Comments »

Introduction to Lucene Connectors Framework – Part 1

April 16th, 2010 by Ralph Benjamin Ruijs
(http://blog.jteam.nl/2010/04/16/introduction-to-lucene-connectors-framework-part-1/)

In my previous blog, Searching your Java CMS using Apache Solr: Introduction, I looked at how to synchronize the information in a Java CMS with a Solr index. This blog is an introduction to the Lucene Connectors Framework, a crawler framework I will use to solve the problem of making the information from a Java CMS search-able using Solr. I will show you how to build, deploy and get it running as a web crawler. In part 2 of this introduction I will extend LCF with a new Connector.

The Lucene Connectors Framework, an incubator project at Apache, provides a framework for connecting a source content repository to target repositories or indexes, such as Apache Solr. Last month the Lucene Connector Framework published their first build-able sources.
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Posted in Enterprise Search | 3 Comments »

State of Solr

April 14th, 2010 by Chris Male
(http://blog.jteam.nl/2010/04/14/state-of-solr/)

What happened to Solr 1.5? what is Solr 3.1? and what about Solr Cloud? In the last few months, there have been many changes to Solr that can leave users confused about which version to use, what features each version provides, and when (and if) they will be released. This blog entry will try to clarify the State of Solr.
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Posted in Enterprise Search | 1 Comment »

Enterprise Search using Solr and Lucene

April 1st, 2010 by Bram Smeets
(http://blog.jteam.nl/2010/04/01/enterprise-search-using-solr-and-lucene/)

The Enterprise Search market has long been dominated by commercial vendors and their products (e.g. Autonomy and Fast). We at JTeam feel that this era is finally over. At least for certain customers and requirements, there is finally a good Open Source alternative: Apache Solr, which is the Enterprise Search server based on Apache Lucene. In this blog post we’ll give our view on enterprise search and explain how Lucene and Solr can help you realize your projects.

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Posted in Business, Enterprise Search | 1 Comment »

Searching your Java CMS using Apache Solr: Introduction

March 31st, 2010 by Ralph Benjamin Ruijs
(http://blog.jteam.nl/2010/03/31/searching-your-java-cms-using-apache-solr-introduction/)

All Content Management Systems (CMS) provide the capability for users to search the content and browse the result. However, commonly this functionality turns out to be insufficient. This can be either because you want to allow users to search over multiple sources (the content repository, but also some external system) and combine the result. Or because you want to offer your users more advanced search functionality like “Did you mean…” functionality or facetted navigation. Therefore, you might want to consider using an advanced, open source search solution like Apache Solr. This blog post is the first in a serie that will introduce searching different CMS solutions using Apache Solr.

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Posted in Development, Enterprise Search | 1 Comment »

Language analysis comparable to Fast / Endeca for Solr

March 30th, 2010 by Martijn van Groningen
(http://blog.jteam.nl/2010/03/30/language-analysis-comparable-fast-endeca-available-solr/)

Good, solid language analysis is a very important asset for the quality of your search results. It is one of the features that for instance Microsoft Fast and Endeca are using as one of their unique selling points. However, you can get the same powerful analysis when using Apache Solr to implement your search.

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Posted in Development, Enterprise Search | 2 Comments »

Spatial Solr Plugin 1.0-RC4

March 30th, 2010 by Chris Male
(http://blog.jteam.nl/2010/03/30/spatial-solr-plugin-1-0-rc4/)

I am pleased to announce the latest release of our Spatial Solr Plugin, v1.0-RC4. This release is a backwards compatible with RC3, and contains the following changes:

  • PDF documentation has been improved to remove inconsistencies in request parameter and source code package names
  • SpatialFilter now includes hashCode and equals implementations, facilitating storage of the filter in caches

JTeam’s Solr Spatial Plugin (SSP) is a standalone plugin that provides efficient and extensible spatial search support to both Solr and Lucene. You can find more information about the plugin here

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Posted in Enterprise Search | 2 Comments »

First Dutch Lucene User Group Meetup

January 20th, 2010 by Uri Boness
(http://blog.jteam.nl/2010/01/20/first-dutch-lucene-user-group-meetup/)

August last year, we announced the new Dutch Lucene User Group with the intention to provide a platform for knowledge sharing and discussions for the Lucene community in The Netherlands. Obviously, beyond setting up a dedicated website for that, the main activity of this usergroup should be in the form of periodic meetups. Unfortunately it didn’t work out to execute it last year, but this year we would really like to get it going and put more efforts in it, and first step I guess is setting up a first meetup.

So I’m pleased to announce the first Dutch Lucene User Group Meetup. It will take place on 17th February (Wednesday) at the JTeam headquarters office. This first meetup will be split into two parts:

  • Introduction to the user group and the members. We’ll have a discussion about what we would all like to see coming out of this user group and what activities we would like to have.
  • The next part will be more technical. Anne Veling will share with us some of his experience of large scale Solr deployment that he’s working on.

If you wish to attend, please send us an email to: events@lucene-nl.org

Date: 17th February 2010

Time: 17:00
Location:
Frederiksplein 1
1017XK Amsterdam
The Netherlands

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Posted in Development | 1 Comment »

Spatial Lucene 2.0

December 31st, 2009 by Chris Male
(http://blog.jteam.nl/2009/12/31/spatial-lucene-2-0/)

In a number of blog entries we have spoken about the spatial search functionality that we have been developing here at Jteam. In the last two weeks, I have had a chance to contribute much of this work back to the Apache Lucene project with the goal of furthering the development of Lucene’s open source spatial search support. If you want to dive immediately into the code, then jump to LUCENE-2139, if you want more details, then read on.

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Posted in Enterprise Search | No Comments »

Mahout – Taste :: Part 1 – Introduction

December 9th, 2009 by Frank Scholten
(http://blog.jteam.nl/2009/12/09/mahout-taste-part-one-introduction/)

This post is the first in a series on Taste, a Java framework for providing personalized recommendations. Taste is part of the larger Mahout framework, which features various scalable machine-learning algorithms. In this post I introduce you to the concepts of personalized recommendations, also known as collaborative filtering. After this introduction, Taste’s architecture and extension points are explained. I finish this post by demonstrating and explaining the TanimotoCoefficientSimilarity, one of Taste’s implementations used for computing recommendations.
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Posted in Development, Enterprise Search | 13 Comments »

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