You could try storing your autocomplete index in a RAMDirectory?
I forgot to mention. I tried this previously, but that also resulted in heap
space problems. That's why I was interested in using the new suggest classes
:)
BR,
Elmer
-----Oorspronkelijk bericht-----
From: Michael McCandless
Sent: Wednesday, July 06, 2011 6:23 PM
To: java-user@lucene.apache.org
Subject: Re: Autocompletion on large index
You could try storing your autocomplete index in a RAMDirectory?
But: I'm surprised you see the FST suggest impl using up so much RAM;
very low memory usage is one of the strengths of the FST approach.
Can you share the text (titles) you are feeding to the suggest module?
Mike McCandless
http://blog.mikemccandless.com
On Wed, Jul 6, 2011 at 12:08 PM, Elmer <evanchaste...@gmail.com> wrote:
Hi again.
I have created my own autocompleter based on the spellchecker. This
works well in a sense that it is able to create an auto completion index
from my 'publication' index. However, integrated in my web application,
each keypress asks autocompleter to search the index, which is stored on
disk (not in mem), just like spellchecker does (except that spellchecker
is not invoked every keypress).
With Lucene 3.3.0, auto completion modules are included, which load
their trees/fsa/... in memory. I'd like to use these modules, but the
problem is that they use more than 2.5GB, causing heap space exceptions.
This happens when I try to build a LookUp index (fst,jaspell or tst,
doesn't matter) from my 'publication' index consisting of 1.3M
publications. The field I use for autocompletion holds the titles of the
publications indexed untokenized (but lowercased).
Code:
Lookup autoCompleter = new TSTLookup();
FSDirectory dir = FSDirectory.open(new File("PATHTOINDEX"));
LuceneDictionary dict = new
LuceneDictionary(IndexReader.open(dir),"title_suggest");
autoCompleter.build(dict);
Is it possible to have the autocompletion module to work in-memory on
such a dataset without increasing java's heapspace?
FTR, the 3.3.0 autocompletion modules use more than 2.5GB of RAM, where
my own autocompleter index is stored on disk using about 300MB.
BR,
Elmer
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