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 […]
lucene
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! http://wiki.apache.org/solr/DistributedSearch 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 […]