Apache Lucene and Solr 4.3 released

A new version of the ubiquitous Lucene/Solr open-source search project is available now.

Apache Lucene and its high level services wrapper, Solr, provide extremely powerful full-text search, among other search functionality, and are widely used across the internet.

Think search has nothing to do with big data? Think again, because Lucene and Hadoop have a special relationship. To start with, Doug Cutting, now chief architect at Cloudera, is the man behind both projects. Next, Lucene can work over HDFS; process data stored in HBase; and Mahout can use Lucene indexes. Lucene and Solr are also included with certain distributions of Hadoop. In fact, as I reported earlier this month, MapR's Hadoop Distributions include the full LucidWorks suite , which is based on Lucene/Solr (and LucidWorks, is the major commercial entity behind Lucene).

Today, Lucene/Solr 4.3.0 was released and made available for immediate download. The 4.3.0 package includes improvements in numerous areas, including query performance, spatial processing, and the read-side schema API. 4.3.0 also includes numerous enhancements to Lucene's faceted search capabilities, whereby dimensions can be used in search, much as they are used for drill-down analysis in data warehouses and OLAP cubes.

Full details of the release — and links to download both the Lucene and Solr components of it — are available at the Lucene project's home page. And if you're intrigued by all this, check out the website for Lucene/Solr Revolution, LucidWorks' first annual conference on Lucene and Solr, which was just held in San Diego.


You have been successfully signed up. To sign up for more newsletters or to manage your account, visit the Newsletter Subscription Center.
See All
See All