On Tue, 2014-05-20 at 10:40 +0200, Shruthi wrote:
> Just the indexing took 20 seconds L

That's more than I expected, but it leaves the same question:
Is 20 second an acceptable response time for your users?

I don't know your document size, but unless they are very large, the
response times from a full 10M document index will be way better than 20
seconds. Even on a low-RAM machine with spinning drives.

> We are yet to try on 64 bit server to check if that would change
> drastically.

I doubt it will.

Toke:
> RAMDirectory seems a better choice.
> 
> Shruthi : But RAM DIrectory  has bad concurrency on multithreaded
> environments.

I assumed you would be creating a dedicated index for each request,
thereby effectively having single threaded usage for each separate
index.

I just remembered that Lucene has an implementation dedicated to fast
indexing. Take a look at
http://lucene.apache.org/core/4_8_0/memory/org/apache/lucene/index/memory/MemoryIndex.html
It seems like just the thing for your use case.

> Shruthi : The same user from the same client will not be searching for
> same phrase again unless he has amnesia. This was already discussed
> with our architects.

If your architects base their decisions on observed user behaviour, then
fine. At our library, many users refines their queries, meaning that a
common pattern is 2-4 queries that are very much alike.

> Shruthi:  Actually we have a DB query that runs prior to indexing
> which fetches max. 500 docs from 10million+ docs in NASSHARE. We then
> have to apply search phrase only on the resultant set..So this way
> 
> The set is just limited to 500 -1000.

Frankly, the combination of a pre-selection with a DB query and the
addon of heavy index + search with Lucene seems like the absolute worst
of both worlds.

Does the DB-selector do anything that cannot easily be replicated in
Lucene?

- Toke Eskildsen, State and University Library, Denmark



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