I had the same problem as you last year, i.e. indexing stuff from different sources with different characteristics. The way I approached it is by setting up a multi-core environment, with each core representing one type of data. Within each core, I had a "data type" sort of field that would define what kind of data is stored (i.e. in your case, it would be "auto" or "real estate" etc...).
The advantages of this setup is that it allows you to make changes to individual cores without affecting anything else. Also, faceting based on category is achieved by the data type field. You can do searching on multiple cores like you would on a single core, meaning that all the search parameters can be applied. Solr will automatically merge all the data into one result set. Another advantage is if you index frequently, this way will allow you to index at different times and reduce the overall load. Just a thought an an approach... -- View this message in context: http://lucene.472066.n3.nabble.com/multi-valued-associated-fields-tp811883p813275.html Sent from the Solr - User mailing list archive at Nabble.com.
