This blog is meant to explain how QueryResultCache and FilterCache are used during the basic query processing in Apache Solr 8.11.0. This blog does not explain how these caches are used during the execution of more advanced components like faceting. Solr caches are associated with a specific instance of an Index Searcher. By default, elements…
How the FeatureLogger works? When the Feature Vector Cache is used in Solr? Is the cache speeding up the rerank process?
Neural Search in Apache Solr has been contributed by Sease thanks to Alessandro Benedetti, Apache Lucene/Solr committer, and Elia Porciani.
We are recently working on contributing knn search in Solr leveraging on the latest Lucene developments. This blog post goal is to give some numbers about the benchmark mesaures gathered during the development process. Setup and collection To benchmark our solution we setup our solr instances using dockerized solr in a t3.large aws machine (2…
How a learning to rank query works in Solr? How we can obtain the required features extraction time from the Solr qTime parameter?
How eDismax sow parameter works The sow(split on whitespace) is an eDismax query parser parameter [1] that regulates aspects of query time text analysis that impact how the user query is parsed and the internal Lucene query is built.It is particularly relevant in multi-term and multi-field search.If sow=true : first the user query text is…
The luceneMatchVersion parameter in the Apache Solr solrconfig.xml specifies a reference Apache Lucene version to use to affect some of the internal components.Apache Solr uses Apache Lucene as an internal library, the binaries of an Apache Solr release are coupled with a specific versioned Lucene library. e.g.Apache Solr 8.8.1 release uses Apache Lucene 8.8.1 librariesYou…
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In this post we describe an approach to solve the problem of an application that requires both Full and Atomic Updates, using one of the powerful concepts in Object Oriented Programming: Polymorphism.
It was the spring of 2018, and Andrea was strenuously working on a customer project, continuously tuning search configurations and checking the ground truth for certain queries manually. That was pretty much the standard at the time, the brilliant Quepid from our friends at Open Source Connection helped in some use cases, but there was…
