Solr has a strategy using rsync that makes it relatively easy to copy
an index around to other servers. It uses rsync to just copy the
diffs, so you could easily mirror this in your application.
There is no SQL backend for Lucene, but at 4mb you could certainly
serialize it as a blob to a SQL db, but I don't see how that would
make it faster.
Also, you said it takes a long time to create a 4mb index. Does this
mean you are doing something really, really complex during analysis?
I guess what I am missing, and I think others have hinted at, is the
big picture isn't quite clear in our minds, because the size of the
index seems almost trivially small in Lucene terms, so we would think
that a) It would be really fast to create the index (seconds, not
minutes) and b) such a small index could be easily held entirely in
memory and should easily handle a very, very, high query rate given
reasonable hardware, which it sounds like you have. The other piece
that doesn't fit in my mind is it sounds like you have a fairly high
update rate since you are getting writes before your 4mb index can be
copied on a local network, right? This implies that you must also
have a lot of deletes otherwise your index would be growing
significantly.
Thus, more details on what you are doing, how you are creating your
index, how your CF app talks to Lucene, etc. would be good.
-Grant
On Feb 10, 2008, at 12:55 PM, Ruslan Sivak wrote:
So nobody's run into anything like this before? The need to share
the index between many copies of the app possibly running on
multiple servers?
Russ
Ruslan Sivak wrote:
The app does other things then search the index. I'm basically
using ColdFusion for the website and have four instances running on
two servers for load balancing. Each app does the searches, and
the search times are small, the index is small, but it takes a long
time to fully create the index (several minutes), and I would like
the index to always be up to date (which is why i replicate the
changes).
I basically cache the index for several minutes in a RamDirectory,
which works quite well for performance. If I could store the index
in a SQL Table or something, I can have a single place where the
index lives and atomic updates.
Is there a SQL Backend for the index, or should I just take the
RamDirectory, serialize it and store it as a BLOB?
Russ
Erick Erickson wrote:
With an index that small, I wonder why you bother with so many
copies?
What kind of load are you hitting it with and how complex are the
queries?
Because unless you have *very* high query rate, I'd look at why my
queries
were
taking so long before complexifying things this way.
Best
Erick
On Feb 7, 2008 4:52 PM, Ruslan Sivak <[EMAIL PROTECTED]> wrote:
My index is only 4mb. Is there a SQL backend for Lucene?
Russ
Michael McCandless wrote:
If you're able to tell Windows FRS which specific files to copy,
then
SnapshotDeletionPolicy (in 2.3) should work for this.
It basically protects a consistent snapshot of your index,
ensuring
those files will not be deleted, while not blocking further
updates to
the index.
Mike
Ruslan Sivak wrote:
I'm wondering if this is a problem that lucene users have already
tackled. I have four copies of the application using a lucene
index. They are located on two physical servers with two
copies on
each server accessing two copies of the lucene index. I use
Windows
FRS (File Replication Service) to replicate the index between
the two
servers.
Things work well most of the time, but sometimes, I believe under
load, the index doesn't get a chance to propagate before another
write takes place and it gets corrupted.
What would you recommend I use to keep the index in sync
between the
four copies of the app?
Russ
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Grant Ingersoll
http://lucene.grantingersoll.com
http://www.lucenebootcamp.com
Lucene Helpful Hints:
http://wiki.apache.org/lucene-java/BasicsOfPerformance
http://wiki.apache.org/lucene-java/LuceneFAQ
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