Advanced search queries with Spring Data Solr
The Spring Data family of projects provide a great way to interact with underlying data stores in a consistent and well structured fashion. We've been using Spring Data MongoDB and Spring Data Solr extensively.
Among Spring Data's core strengths are the ability to map POJOs to and from their backing store representations without much effort on the part of the developer and a consistent approach to CRUD operations, paging, and sorting.
However, some of these projects don't yet provide access to some of the underlying platform's advanced features. In particular, Spring Data Solr, lacks support for Apache Solr's more advanced relevancy features.
In this article, we'll examine a technique for executing a Solr ExtendedDisMax (eDisMax) query while still benefitting from Spring Data's paging and type converstion facilities.
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