: aurelien.mazo...@francelabs.com
[mailto:aurelien.mazo...@francelabs.com]
Sent: Tuesday, July 28, 2015 5:05 PM
To: java-user@lucene.apache.org
Subject: Performance impact of searching across multiple fields
Hi,
I am wondering about the real performance impact of searching across
multiple fields
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> -Original Message-
> From: aurelien.mazo...@francelabs.com
> [mailto:aurelien.mazo...@francelabs.com]
> Sent: Tuesday, July 28, 2015 5:05 PM
> To: java-user@lucene.apache.org
> Subject: Performance impact of searching across multiple fields
Hi,
I am wondering about the real performance impact of searching across
multiple fields instead of using a catch-all field. I know that Lucene
is optimized to do that and that there are mechanisms to mitigate the
overhead but does anybody know if there are performance benchmarks
related to
Hi,
Try using Boolean Query. You can effectively use boolean operators using
it.
make seperate queries for each field.
Boolean query is meant for having a series of queries with boolean operators
defined.
For eg.
lets say you have 3 diff queries A, B, C and you want a final query which
behav
Hi,
Lets say I have an index with the following fields:
field1, field2, field3 and field4 where all the fields can have same values.
Now I want to search a document where "basket" and "apple" are part of the
whole document but "orange" is not.
I have tried using MultiFieldQueryParser but it is n
Hi,
Lets say I have an index with the following fields:
field1, field2, field3 and field4 where all the fields can have same values.
Now I want to search a document where "basket" and "apple" are part of the
whole document but "orange" is not.
I have tried using MultiFieldQueryParser but it is n
