Tag Archives: Lucid Imagination

Solr 3.1 released

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Last friday, Solr 3.1 was released along with Lucene 3.1. This might seem like a big step from previous version 1.4.1, but is an effect of the merged development for Solr and Lucene that took place a year ago. The Solr version now reflects the Lucene version that is used.

For a complete list of new features and enhancements, you can read the release notes. Though, some of the most interesting features are:

  • Extended dismax (edismax) query parser. It’s an enhancement over dismax, supports full lucene query syntax etc.
  • Spatial search (ie, we can now enable geo-search; sort by distance, boost by distance etc)
  • Numeric range facets.
  • Lots of optimizations and performance improvements, including better Unicode and 64-bit JVM support.

Update: There’s a good list of features and enhancements at Sematexts blog:

I’m really keen on the Spatial Search which open up a new set of applications, espeacially for Mobile Search where you have the advantage of knowing the position of the user.

I’m glad the community pulled of this release after the merge with Lucene and it will be fun to start working with it. What’s your favorite feature in 3.1? Drop a comment!

Solr – the Sunny Side of Search

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When I started working for Findwise two years ago, Apache Solr was one of those no-name search platforms. We could barely get our customers to consider Solr even after proving that the platform would be a perfect match for their business needs. As time passed and the financial crisis hit the world, a few of our customers started considering Solr, but then usually for the reason that it was “free” – not for the functionality of the platform.

Things have changed. More and more companies now offer support and training for Solr. It seems that the platform is gaining momentum on the enterprise market. In fact, I was just in Oslo, Norway to become a certified Lucid Imagination training partner, as the need for training is growing rapidly, even up here in the snow-covered Nordics.

Today we even have customers approaching us asking questions about how, and not if, they should use Solr. I wouldn’t have imagined that two years ago …

Could this be the year that Solr goes head to head with the large enterprise search platforms? And where will we be in another two years? I wish I knew.