Red Hat Bugzilla – Bug 609534
Perf: OOME when server is swamped with Calltime data
Last modified: 2014-05-29 17:10:20 EDT
Created attachment 428005 [details] Patch mentioned in the description When the server is swamped with call time data (amount depends on JVM size, database etc. ; in my case RHQ server has 384M max heap and I am supplying around 800k-1M values per hour), a little slowness on the DB (for example) makes CT data pile up and the Server yield an OOME. Heap dump shows - Prepared Statement with 27MB in size - 3 http threads with 77 MB of data each. The attached (too simple) patch improves the situation a lot, as smaller chunks of data are sent to the database, so the PS does not get that big. An improved version of the patch would - watch for the size of incoming data and not chop into too small pieces - chunk the data that goes into alert processing as well - null out the already processed data after the previous step to help garbage collection
With the patch I can (with the end_time index present) to 4min intervals, which mean ~ 1.4million values/hour. So I propose including this in the next release.
Actually it allows to process ~100k values per minute every minute which accounts for 6 million values per hour on a postgres instance on one laptop hard disk and a RHQ server VM with 384 MB of ram. This is for a 20mins interval now, so no definitive proof, but vm statistics look good.