Hi Jan, Thanks!, I am exploring the schemaless option based on Furkan suggestion. I need the the flexibility because not all fields are known. We get the data from RDF database (which changes continuously). To be more specific, we have a database and all changes on it are sent to a kafka queue. and we have a consumer which listen to the queue and update the Solr index.
regards, Thaer On 7 July 2017 at 10:53, Jan Høydahl <jan....@cominvent.com> wrote: > If you do not need the flexibility of dynamic fields, don’t use them. > Sounds to me that you really want a field “price” to be float and a field > “birthdate” to be of type date etc. > If so, simply create your schema (either manually, through Schema API or > using schemaless) up front and index each field as correct type without > messing with field name prefixes. > > -- > Jan Høydahl, search solution architect > Cominvent AS - www.cominvent.com > > > 5. jul. 2017 kl. 15.23 skrev Thaer Sammar <t.sam...@geophy.com>: > > > > Hi, > > We are trying to index documents of different types. Document have > different fields. fields are known at indexing time. We run a query on a > database and we index what comes using query variables as field names in > solr. Our current solution: we use dynamic fields with prefix, for example > feature_i_*, the issue with that > > 1) we need to define the type of the dynamic field and to be able to > cover the type of discovered fields we define the following > > feature_i_* for integers, feature_t_* for string, feature_d_* for > double, .... > > 1.a) this means we need to check the type of the discovered field and > then put in the corresponding dynamic field > > 2) at search time, we need to know the right prefix > > We are looking for help to find away to ignore the prefix and check of > the type > > > > regards, > > Thaer > >
