Hi All,
I am running Lucene 3.4 in an application that indexes about 1 billion factual assertions (Documents) from the web over four separate disks, so that each disk has a separate index of about 250 million documents. The Documents are relatively small, less than 1KB each. These indexes provide data to our web demo (http://openie.cs.washington.edu), where a typical search needs to retrieve and materialize as many as 3,000 Documents from each index in order to display a page of results to the user. In the worst case, a new, uncached query takes around 30 seconds to complete, with all four disks IO bottlenecked during most of this time. My implementation uses a separate Thread per disk to (1) call IndexSearcher.search(Query query, Filter filter, int n) and (2) process the Documents returned from IndexSearcher.doc(int). Since 30 seconds seems like a long time to retrieve 3,000 small Documents, I am wondering if I am overlooking something simple somewhere. Is there a better method for retrieving documents in bulk? Is there a better way of parallelizing indexes from separate disks than to use a MultiReader (which doesn’t seem to parallelize the task of materializing Documents) Any other suggestions? I have tried some of the basic ideas on the Lucene wiki, such as leaving the IndexSearcher open for the life of the process (a servlet). Any help would be greatly appreciated! Rob
