Hi Rahul, The most likely cause to your problem is that your are leaking IndexReader instances. You say you are using SearcherManager, could you check that there is a call to release matching every call to acquire?
Le mer. 12 oct. 2016 à 15:02, Rahul Chandwani <rchandw...@egain.com> a écrit : > Hi Adrien, > > Total number of instances of CompressingStoredFieldsReader = 76,808 > occupying 760 MB heap. > Total number of instances of SegmentCoreReaders = 38,099 occupying 368 MB > heap. > > Thanks > > -----Original Message----- > From: Adrien Grand [mailto:jpou...@gmail.com <jpou...@gmail.com>] > Sent: Wednesday, October 12, 2016 12:51 PM > To: java-user@lucene.apache.org > Subject: Re: Default LRUQueryCache causing OOO exception > > > Hi Rahul, > > High memory from both these classes is unexpected. I am wondering that > maybe your application does not close index readers when it doesn't need > them anymore? Another possibility would be that you are dealing with lots > of IndexReader instances in the same JVM. Are you able to count how many > instance of CompressingStoredFieldReader were present in the heap? > > > Le mer. 12 oct. 2016 à 09:08, Rahul Chandwani <rchandw...@egain.com> a > écrit : > > > Hello, > > > > > > We are using lucene 5.5.2 for search . > > > > We are getting out of memory exception as default LRUQueryCache is > > occupying more much more than default 32 MB memory. > > > > Searcher Manager is used here to get an instance of index searcher to > > perform search. Default lru query cache and default query cache policy > > (UsageTrackingQueryCachingPolicy) is used. > > > > Maximum memory usage/size is 3 GB for our application. > > > > Observation from heap dump: > > > > 1. Lucene Codecs CompressingStoredFieldReader objects has consumed ~ > > 727 MB of heap > > > > 2. Lucene LRUQueryCache objects has consumed ~ 380 MB of heap. Cache > > instance is holding up large number of SegmentCoreReaders instances in > Map. > > > > > > Request you to please guide us. > > > > > > Thanks > > > > Rahul > > > > ___ Watch an eGain Customer Service Transformation< > > https://www.youtube.com/watch?v=dEwdFfWoyuE> Success Story > > > ___ Watch an eGain Customer Service Transformation > <https://www.youtube.com/watch?v=dEwdFfWoyuE> Success Story >
