Noggit is the world’s fastest streaming JSON parser for Java. Noggit is the streaming JSON parser used in Solr. It lives here on github. JSON features and extensions Noggit supports a number of extensions to the JSON grammar. All of … Continued
Although query parameters are often an easy method to create a Heliosearch/Solr requests by hand, they have a number of drawbacks: Inherently un-structured, requiring unsightly parameters like f.facet_name.facet.range.start=5 Inherently un-typed… everything is a string. More difficult to decipher large requests. … Continued
Lucene/Solr trunk (the future 6.0 release) is now on Java8, while version 5.x is still on Java7. Linux and Windows allows one to install a JDK any place in the filesystem, and I use the convention of installing in /opt/jdk7 … Continued
Introduction Facet Types Testing Using Curl Terms Facet Query Facet Range Facet Related page: Facet Functions Related page: Sub-Facets Introduction Heliosearch has a completely re-written faceted search module with a structured JSON API to control the faceting commands. The structured … Continued
Traditional faceted search (also called guided navigation) involves counting search results that belong to categories (also called facet constraints). The new facet functions in Heliosearch/Solr extends normal faceting by allowing additional aggregations on document fields themselves. Combined with the new … Continued
Subfacets (also called Nested Facets) is a more generalized form of Solr’s current pivot faceting that allows adding additional facets for every bucket produced by a parent facet. Subfacet advantages over pivot faceting: Subfacets work with facet functions (statistics), enabling … Continued
Solr 4.10 and Heliosearch .07 have added a terms query (or terms filter) to more efficiently match many terms in a single field. A large number of terms are often useful for things like access control lists or security filters. … Continued
Native code faceting for Solr has just been added to Heliosearch, and benchmarks show an impressive 2x performance increase! This is faceting code written in C++ and statically compiled for maximum performance, and loaded into the JVM via JNI (Java … Continued
Solr needs a flexible cross-datacenter architecture that can handle both a variety of application needs as well as a variety of infrastructure resources. Design Goals Accommodate 2 or more data centers Accommodate active/active uses Accommodate limited band-with cross-datacenter connections Minimize … Continued
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 … Continued
