• Products
    • Overview
    • LucidWorks Search Platform
      • Features and Benefits
      • Technical Overview
      • Only with LucidWorks
      • LucidWorks and Solr
      • White Papers
      • LucidWorks Enterprise
      • LucidWorks Cloud
    • Certified Distributions
      • Certified Solr
      • Certified Lucene
    • Apache Releases
      • Apache Solr
      • Apache Lucene
  • Support & Services
    • Overview
    • Support
    • Training
    • Solr/Lucene Certification
    • ExpertLink Advisory
    • Consulting
    • Partners
    • Subscriptions
  • Why Lucid?
    • Why Lucid?
    • Technology
    • Technical Leadership
    • Who uses Lucene/Solr?
      • What customers are saying
    • Case Studies
    • Whitepapers
    • Demos
    • Webinars
  • Blog
  • DevZone
    • DevZone Overview
    • Forums (LWE)
    • Videos & Podcasts
      • How To's
      • Screencasts
      • Podcasts
      • Conference Videos
    • Technical Articles
      • Whitepapers
    • Reference Materials
      • Documentation
      • Solr Reference Guide
      • Solr & LucidWorks Matrix
      • Tutorials
    • Events
      • Conferences
      • Meet Ups
    • Code & Test
  • Downloads
  • About Us
    • Management
    • Careers
    • News
      • Media Coverage
      • Press Releases
    • Contact Us
Sign Up or Log In
Home . Blog

August 24, 2009

Lucid Gaze for Lucene

Posted by admin

Java Developers have long been familiar with the power of the Apache Lucene open source search library, and have made it a top project both in the Java world and the apache world.

Because search applications can address an ambitious diversity of document indexes, searches, and queries, native Lucene Java application developers are often challenged to account for variations in performance of their Lucene application. It is vital to the developers to understand how quickly a native java application building in Lucene search can build/update an index, return a search result, process a query, and similar search operations.

By introducing LucidGaze for Lucene, Lucid Imagination offers the Lucene Java Application developer community a unique, application centric perspective on their search performance. While great advances have been made in recent years in java performance and java analysis at the JVM and OS level, experts such as Kirk Pepperdine (see http://www.infoq.com/articles/the-box ) recommend that analysis focus on the nature of the application behavior.

Understanding the relative efficiencies of Lucene operations is a vital task in analyzing and optimizing search, to deliver faster, more efficient results, both in terms of faster/better search output and in terms of making sure that search applications built with Lucene deliver superior business results. LucidGaze for Lucene offers a broad set of instrumentation into Lucene Java application operations, so developers can see exactly what their search app is doing, where it can be improved and where it is sensitive to various user needs. It can isolate long running queries that consume an unfair share of resources, expose inefficiencies in design, pinpoint fields or documents that cause processing bottlenecks — all in order to find where performance improvement work will have the greatest impact.

Lucid Imagination made extra efforts to make LucidWorks for Lucene easy to install and use everywhere Lucene is used. We assumed no prerequisites other than Lucene, and insisted on zero search application code changes in order to serve every stack configuration out there, to allow existing Lucene applications to readily benefit from it.

LucidGaze for Lucene is now freely available; check it out here. Please feel free to leave us feedback, either as a comment here, or directly to me, at eran.yaniv at lucidimagination.com

  • Share this:
  • Email
  • Facebook
  • Digg
  • Share
  • Print
  • Reddit
  • StumbleUpon

Category: Lucene, LucidGaze

2 Responses to “Lucid Gaze for Lucene”

  1. Thanks a lot for your wonderful software Lucid Gaze.
    Its very easy to deploy and working greatly.
    I am using LucidGaze 1.0 (downloaded from lucid site on May 17, 2010).
    I have hard time to understand its graphs.
    The first graph “req/s” is showing 100m, 200m, .. on Y-axis. As per the name I understand that it is requests/second but it doesn’t look like counting requests.
    And the second graph “ms/req” is showing 5k, 10k, … on Y-axis. As per the name, it is trying to show milliseconds/request but it doesn’t look like displaying response times.
    Can you please help me in understanding these graphs?
    Thanks again.

    Sandeep

    May 18, 2010 04:05 — Sandeep

  2. Does LucidGaze plug seamlessly into 3.x? (I’m guessing no.)

    Is there a plan to release another version for 3.x/4.x compatability or to open-source it so someone else can port it?

    May 26, 2011 08:56 — Gary Yngve

Leave a Reply

Go to Blog Front Page

  • Recent Posts

    • Lucene Revolution 2012 – Call for Participation now open!
    • SolrCloud is Coming (and looking to mix in even more ‘NoSQL’)
    • Our Solr Reference Guide updated for v3.5
    • Enhancing Discovery with Solr and Mahout – session slides now available!
    • Solr and LucidWorks feature matrix available
    • LucidWorks Enterprise latest version 2.0.1 released!
    • Why Not AND, OR, And NOT?
    • Options to tune document’s relevance in Solr
    • Dallas JavaMUG December 14th 2011
    • Apache Mahout user meeting – session slides and videos are now available!
  • Archives

    • January 2012
    • December 2011
    • November 2011
    • October 2011
    • September 2011
    • August 2011
  • Tags

    acts_as_solr apache Apache Mahout best practices chump code4lib dismax drupal enterprise search Erik Hatcher field collapsing function query Grant Ingersoll hoss image isfdb local params Lucene lucene revolution LucidGaze lucid imagination Mahout Marc Krellenstein Mark Miller nested queries nutch Open Source Open Source Search qparser query parser queryparser Rails release result grouping Richmond Ruby schema design sint Solr solr 3.1 solr 4.0 solr cloud sortable Tika VA
  • Contact Us
  • About Lucid Imagination
  • Help & Support
  • Training
  • Privacy Policy
  • Legal Terms of Use
  • Copyrights and Disclaimers
  • Log in

Apache Solr, Solr, Apache Lucene, Lucene and their logos are trademarks of the Apache Software Foundation.

© 2011 Lucid Imagination. All Right reserved.

loading Cancel
Post was not sent - check your email addresses!
Email check failed, please try again
Sorry, your blog cannot share posts by email.