Thank you for your offer. But i think i need to think about the concept at all.
I need to configure the limit in the database and use in in all appropriate 
places.
I already have a clue how to do it - but lack of time :-)

> Gesendet: Donnerstag, 01. Juni 2017 um 15:00 Uhr
> Von: "Susheel Kumar" <susheel2...@gmail.com>
> An: solr-user@lucene.apache.org
> Betreff: Re: Re: Facet ranges and stats
>
> Great, it worked out.  If you want to share where and in what code you have
> 90 configured, we can brainstorm if we can simplify it to have only one
> place.
> 
> On Thu, Jun 1, 2017 at 3:16 AM, Per Newgro <per.new...@gmx.ch> wrote:
> 
> > Thanks for your support.
> >
> > Because the null handling is one of the important things i decided to use
> > another way.
> >
> > I added a script in my data import handler that decides if object was
> > audited
> >   function auditComplete(row) {
> >     var total = row.get('TOTAL');
> >     if (total == null || total < 90) {
> >       row.remove('audit_complete');
> >     } else {
> >       row.put('audit_complete', 1);
> >     }
> >     return row;
> >   }
> >
> > When i add/update a document the same will be done in my code.
> > So i can do my query based on audit_complete field, because i only need to
> > know how many are complete and how many not.
> >
> > A drawback is surely that the "complete" limit of 90 is now implemented in
> > two places (DIH script and my code).
> > But so far i can life with it.
> >
> > Thank you
> > Per
> >
> > > Gesendet: Mittwoch, 31. Mai 2017 um 17:28 Uhr
> > > Von: "Susheel Kumar" <susheel2...@gmail.com>
> > > An: solr-user@lucene.apache.org
> > > Betreff: Re: Facet ranges and stats
> > >
> > > Hi,
> > >
> > > You may want to explore the JSON facets.  The closest I can go to meet
> > > above requirement is below query (replace inStock with your rank field
> > and
> > > price below with total.  Null handling something also will have to look.
> > >
> > > --
> > > Susheel
> > >
> > > curl http://localhost:8983/solr/techproducts/query -d 'q=*:*&
> > >
> > >               json.facet={inStocks:{ terms:{
> > >                             field: inStock,
> > >                             limit: 5,
> > >                             facet:{
> > >                                 priceRange:{ range:{  // nested terms
> > > facet will be executed for the top 5 genre buckets of the parent
> > >                                   field: price,
> > >                                   start : 0,
> > >                                       end : 90,
> > >                                       gap : 90,
> > >                                       other : "after"
> > >                                 }}
> > >                               }
> > >                           }}
> > >                           }'
> > >
> > >
> > > On Wed, May 31, 2017 at 7:33 AM, Per Newgro <per.new...@gmx.ch> wrote:
> > >
> > > > Hello,
> > > >
> > > > i would like to generate some stats on my facets. This is working so
> > far.
> > > > My problem is that i don't know how to generate Ranges on my facets and
> > > > calculate the stats for it.
> > > >
> > > > I have two fields in my schema -> rank(string) and total(float,
> > nullable)
> > > > Rank can be A or B or C. In case my object was audited document
> > contains a
> > > > total value (78 or 45 or ...). Otherwise the value is null.
> > > >
> > > > What i need to calculate per Rank is the count of documents having a
> > total
> > > > value >= 90 and the count of the other documents (null or < 90).
> > > >
> > > > My solution would be to implement 2 queries. But what i learned so far:
> > > > Solr is build to avoid that.
> > > >
> > > > Can you please give me hint how i could solve this problem.
> > > >
> > > > Thanks for your support
> > > > Per
> > > >
> > >
> >
> 

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