Hi Everyone,
We are using lucene,nutch and spring framework to create a specialized
search engine. Due to growing traffic we are trying to scale. By doing some
tests we found out that the bottle neck was lucene search. We used some
heavy traffic simulation and logged the time taken by each portio
Hi Everyone,
We are using lucene,nutch and spring framework to create a specialized
search engine. Due to growing traffic we are trying to scale. By doing some
tests we found out that the bottle neck was lucene search. We used some
heavy traffic simulation and logged the time taken by each portio
Hi Kumar,
I am also interested in this question. I have used simple HTTP POST/GET request
with open search,and it requires about extra 15ms for transferring search
results between two machines.And want to know whether RMI can give a better
performance.
Thanks
-Qi
- Original Message -
Hi Kumar,
I am curious about where the bulk of time was spent in Lucene. I am
not doubting your numbers or analysis, just want to know if there was
anything that could be improved in Lucene and make sure you are
solidly in need of going to multiple machines as it adds an extra
level of c
Hi EVeryone,
Thank you all for your replies.
And reply to your questions Grant:
We have more than 3 Million document in our index.
We get more than 150,000 searches (queries) per day. We expect this no to go
up. This count only includes actual user search and doesn't include robot
searches and o
On 7/14/07, Grant Ingersoll <[EMAIL PROTECTED]> wrote:
I think he means index all your different fields into a single field
named "all". Not sure what makes it special, it is just like any
other field.
but that really impossible ! because I have near millions records to be
indexed so this j
: And our final queries sent to lucene are quite complicated. This is because
: we need to confirm to a lot of criteria (some are set by users and some are
: internal logics). I don't think we can simplify our queries.
in my experience, your queries can always be made simpler by making your
index