The filter caching features in Solr allow for precise control over how filter queries are handled in order to maximize performance. Solr has the ability to specify if a filter is cached, specify the order filters are evaluated, and specify post filtering. Solr Filter Queries Adding a filter expressed as […]

Advanced Filter Caching in Solr

Solr 1.4 contains a new feature that allows range queries or range filters over arbitrary functions.  It’s implemented as a standard Solr QParser plugin, and thus easily available for use any place that accepts the standard Solr Query Syntax by specifying the frange query type.  Here’s an example of a […]

Ranges over Functions in Solr 1.4

With CPU cores constantly increasing, there has been some major work done in Lucene/Solr to increase the scalability under multi-threaded load. Read-only IndexReaders One bottleneck was synchronization around the checking of deleted docs in a Lucene IndexReader.  Since another thread could delete a document at any time, the IndexReader.isDeleted() call […]

Solr scalability improvements

Having performance issues with Solr’s faceted search and certain types of fields?  Help has arrived in the form of a new Solr faceting algorithm!  This new faceting implementation dramatically improves the performance of faceted search, making it suitable for a much wider range of applications. The existing multivalued field faceting […]

Solr Faceted Search Performance Improvements

A new chapter in Solr scalability has been opened with the addition of distributed search! Distributed Search splits an index into multiple shards, and queries across all the shards, combining the results and presenting a single merged response that looks like it came from a single server. Solr’s current […]

Distributed Search for Solr