Also I search across about 50 fields but I don't use
wildcard or range queries.
Lucene uses one byte of RAM per document per searched field, to hold the normalization values. So if you search a 10M document collection with 50 fields, then you'll end up using 500MB of RAM.
If you're using unanalyzed fields, then an easy workaround to reduce the number of fields is to combine many in a single field. So, instead of, e.g., using an "f1" field with value "abc", and an "f2" field with value "efg", use a single field named "f" with values "1_abc" and "2_efg".
We could optimize this in Lucene. If no values of an indexed field are analyzed, then we could store no norms for the field and hence read none into memory. This wouldn't be too hard to implement...
Doug
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