Apache Lucene and Solr 4.2

Today Apache Lucene and Solr PMC announced another version of Apache Lucene library and Apache Solr search server numbred 4.2. This is a next release continuing the 4th version of both Apache Lucene and Apache Solr.

Here are some of the changes that were made comparing to the 4.1 version:

Lucene

  • New, default codec with default term vectors compression and more efficient DocValues format
  • Refactoring and performance improvement to faceting module
  • FST structure now supports data in size above 2GB

Solr

  • API for index structure allowing for schema.xml elements fetching
  • DocValues support
  • Collections aliasing
  • Custom node names for SolrCloud deployments
  • Enchantments that comes with Apache Lucene 4.2

Full changes list for Lucene can be found at http://wiki.apache.org/lucene-java/ReleaseNote42. Full list of changes in Solr 4.2 can be found at: http://wiki.apache.org/solr/ReleaseNote42.

Apache Lucene 4.2 library can be downloaded from the following address: http://www.apache.org/dyn/closer.cgi/lucene/java/. Apache Solr 4.2 can be downloaded at the following URL address: http://www.apache.org/dyn/closer.cgi/lucene/solr/. Please remember that the mirrors are just starting to update so not all of them will contain the 4.2 version of Lucene and Solr.

This post is also available in: Polish

This entry was posted on Tuesday, March 12th, 2013 at 08:33 and is filed under About Lucene, About Solr, Solr. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

2 Responses to “Apache Lucene and Solr 4.2”

  1. Andrew Says:

    We’ve written a blog post about our experience using Solr 4.1 versus Solr 4.2. Specifically we discuss the usage of the compressed term frequency vectors, and the time/storage costs. It looks like a great feature which works right out of the box!

    read more about it here: http://www.searchbox.com/solr-4-2-vs-solr-4-1-compressed-term-frequency-vectors/

  2. gr0 Says:

    Thanks for the information Andrew :)