The short answer is “yes, ranking will be different”. This is inevitable since the stats are different in your X field, there are more terms, the frequency of any given term is different, etc.
I’d argue, though, that using qf with a list of fields can be tweaked to give you better results. For instance you can boost the fields individually with different weights etc. The canonical example is fields like title, summary and body where you can assume that matches in title are more important than summary which is in turn more important than body and do something like: qf=title^5 summary^2 body Best, Erick > On Jul 31, 2019, at 8:51 AM, Steven White <swhite4...@gmail.com> wrote: > > Hi everyone, > > I'm indexing my data into multiple Solr fields, such as A, B, C and I'm > also copying all the data of those fields into a master field such as X. > > By default, my "qf" is set to X so anytime a user is searching they are > searching across the data that also exist in fields A, B and C. > > In some use cases, I need to narrow down a user's search to just A and C or > A only, etc. When that happens, I dynamically, at run time set "qf" to "A > C" or just "A". > > My question is this, will the search quality and ranking be different if I > simply set "qf" to "A B C" and avoid the copy operation to "X" (it will > save me disk space)? Will there be a performance impact if I do this? Is > there a limit at which point I should not list more than N fields in "qf"? > > Thanks, > > Steven
