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ElasticSearch has percolator for prospective search. Does SOLR have a similar feature where you define your query upfront? If not, is there an effective way of implementing this myself on top of the existing SOLR features?
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Solr is a search server built on top of Apache Lucene, an open source, Java-based, information retrieval library. It is designed to drive powerful document retrieval applications - wherever you need to serve data to users based on their queries, Solr can work for you.
The main difference between Solr and Elasticsearch is that Solr is a completely open-source search engine. Whereas Elasticsearch though open source is still managed by Elastic's employees. Solr supports text search while Elasticsearch is mainly used for analytical querying, filtering, and grouping.
The enableLazyFieldLoading setting allows Solr to load fields that are not directly requested later as needed. This can boost performance if most queries request only a small subset of fields. We recommend leaving the enableLazyFieldLoading with the default value of true.
besides what BunkerMentality said, it is not hard to build your own percolator, what you need:
I have done this for a system ingesting millions docs a day and it worked fine.
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It's listed as an open new feature, SOLR-4587, on Solr JIRA but it doesn't seem like any work has started on it yet.
There is a link in the comments there to a separate project called Luwak that seems to implement some features similar to percolator.
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