Hi, We have a 32-bit python app which uses pylucence and bundles the JRE with it.
This is installed on a 64-bit Windows 2012 Server with 16GB of RAM. The heap settings are: -Xms=64Mb and -Xmx=1024Mb It's a web app and works fine when a user or two connect. But if there are a few more users, the memory usage increases and at some point there is an "Out of memory error". By and large, a single index searcher is used and shared amongst multiple queries. While checking the Net someone said that with Lucene there is a lot of memory usage behind the scene (it needs to load some data structures into memory, etc.) - the questions that we have now include: 1. Does memory usage go up with multiple simultaneous searches - does it need to load the data structures multiple times? 2. Has this got anything to do with a 32-bit app on a 64-bit architecture? 3. Normally, after a search query is executed, when does the memory used by the result get free again? Is it after an idle period or when the JVM hits memory usage limits or what? 4. Could this be caused due to a memory leak in our code? Any "common mistakes" that we could check first? Thanks, Antony --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
