you should use a proximity search, so the matching words are near:
q=Itemname:("item movie"~2)
I don't remember if you need also to customize your indexing analyser
so diferent values are far enough for your needs or if that it's
already done.
On Tue, Jan 11, 2011 at 9:39 AM, Sailesh wrote:
>
>
Well, you could use the queryparser wildcard searches (flash*), but
it doesn't use stemming logic, it just returns all the words that
start with that string.
You must be aware that the queryparser rewrite the query with every
term that match the wildcard, so if your prefix is short it's easy to
g
Avery time you flush the index, you are writing a small index to the
disk. Theres a defined value (mergefactor) that decides when it have
to merge all of those small index in a bigger one, so as the index
grown the merges are bigger. First you merge 10 indexes of 1
document, then 10 indexes of 10
You can also get stringindex of the class field, for access to the
field info without the need of accessing the document in hits.
You can implement a custom collector and get the unique values in that.
On 5/30/07, karl wettin <[EMAIL PROTECTED]> wrote:
30 maj 2007 kl. 10.51 skrev Laxmilal Mena
don't index the city names with the zip codes.
indexed text - Stored Value
---
94941 - 94941 Mill Vallley
94114 - 94114 Mill Vallley
Mill Vallley - Mill Vallley
29715 - 29715 Fort Mill
29708 - 29708 Fort Mill
