A Query Pipeline transforms a set of inputs into a Solr query request and it can execute requests and manipulate the Solr response as well, via a set of modularized operations called Query Stages. The objects sent from stage to stage are Request objects and Response objects.
Fusion stores pipeline names and definitions, allowing a pipeline to be reused across applications. Pipeline definitions can be modified, so that as an application evolves, the pipelines used by that application can evolve accordingly. During application development, the Fusion UI can be used to develop and debug a Query Pipeline.
The available stage types allow setting specific parameters for the query, such as the number of results to return or the query parser to use. You can also define facets and recommendations to be returned with the results. If Access Control Lists (ACLs) are in use, you can apply a security-trimming stage to apply user access restrictions to the results.
Default Query Pipelines
When you create a new app with a default collection, the collection includes a default query pipeline. When you create a new collection in an existing app, Fusion also creates a default query pipeline for the new collection. The pipeline name is the same as the collection name.
The default query pipeline has the following pre-configured stages:
This stage uses the SolrTextTagger handler to identify known entities in the query by searching the
_query_rewritecollection (or the
_query_rewrite_stagingcollection in the case of the Fusion AI query rewriting Simulator) to find matching spelling corrections, phrase boosts, underperforming query improvements, and synonym expansions in order to perform query rewriting.
The Boost with Signals query pipeline stage uses aggregated signals to selectively boost items in the set of search results.
The Field Facet query pipeline stage is used to add a Solr Field Facet query to the search query pipeline.
The Solr Query stage transforms the Fusion query pipeline Request object into a Solr query and sends it to Solr.
Most rules operate on the request, but some rule types, such as banner rules or redirect rules, do their work when the response comes back. The Modify Response with Rules stage applies those rules to the response. For example, a banner rule can add a banner URL to the response before returning it to the client.
Custom Query Pipelines
Asynchronous query pipeline processing
Query pipeline processing performance can be improved by enabling asynchronous processing for certain stages that make requests to secondary collections, external databases, and so on. The following stages support asynchronous processing:
This feature uses the fork-and-join model, where any of the stages above can create a fork on the pipeline. The parallel processes are joined again using the Merge Async Results stage at a later point in the pipeline.