Thanks for the advice. I will take a look at
PerFieldAnalyzerWrapper to see if I want to take this on. For my
case, I have to use mexed case for a couple of fields since case
really does matter for them (ie apple is not the same as Apple), and I
actually don't want users to find the document if they enter the
"wrong" case (ie a search for Apple should not return docs containing

On 5/4/07, Erick Erickson wrote:
Look at PerFieldAnalyzerWrapper. It allows you to use different
analyzers on different fields during the query parsing phase.

But I wouldn't go there if you don't have to. I suspect you'll spend a
LOT of time tracking down errors in your use of a mixed case index.
If for no other reason than your users will use the "wrong" case.

Unless your index is huge (and I don't consider, say, 8G huge), I'd
index everything in, say, lower case. And ditto for your query

If you need to return data to the user in mixed case, then you can
*store* (but perhaps not *index*) the display fields. So you search
on one field and return data from another.

On 5/4/07, Bill Au wrote:

I have an index with both fields that are case sensitive and
insensitive. I
am trying to use a QueryParser to accept query from end users for
searching. The default behavior of QueryParser is to lowercase the prefix
text to create the PrefixQuery. So wildcard search on the case sensitive
fields does not work. If I use QueryParser.setLowercaseWildcardTerm
then wildcard search on the case insensitive fields does not work.

Here is an example with two fields, name (case sensitive) and desc (case
insensitive). The docment is

name (case sensitive): PowerBook
desc (case insensitive): professional mac laptop

I want to be able to find the document with the following query:

+name:Power* +field:Pro*

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postedMay 4, '07 at 7:18p
activeMay 7, '07 at 3:23a

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Bill Au: 2 posts Erick Erickson: 1 post



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