Following is an extract from my analysis using MAT: The object of type chunking.Parser has the following memory consumption:
Class Name | Shallow Heap | Retained Heap ----------------------------------------------------------------------------------------- cParser opennlp.tools.parser.chunking.Parser @ 0x79604bb08| 104 | *27,41,83,328* ----------------------------------------------------------------------------------------- Within this object, following are the objects that have the majority of the memory accumulation: Class Name | Shallow Heap | Retained Heap ------------------------------------------------------------------------------- buildModel opennlp.maxent.GISModel @ 0x79249e968| 32 | * 17,02,70,504* ------------------------------------------------------------------------------- Class Name | Shallow Heap | Retained Heap ------------------------------------------------------------------------------------ chunker opennlp.tools.chunker.ChunkerME @ 0x79604c850| 24 | * 4,62,08,192* ------------------------------------------------------------------------------------ Class Name | Shallow Heap | Retained Heap ------------------------------------------------------------------------------- checkModel opennlp.maxent.GISModel @ 0x788ee2810| 32 | * 3,69,60,416* ------------------------------------------------------------------------------- Class Name | Shallow Heap | Retained Heap ------------------------------------------------------------------------------------ tagger opennlp.tools.postag.POSTaggerME @ 0x79604c370| 48 | * 2,05,61,544* ------------------------------------------------------------------------------------ On 25 October 2013 11:56, Samarth Seksaria <[email protected]>wrote: > Hi, > > I am using opennlp for generating parse trees. After quite an amount of > analysis using MAT ( memory analyzer tool ) on eclipse, I suspect the > accumulation of objects is in an instance of the chunking.Parser class. > > I may be completely wrong, and the issue may lie somewhere in my > application code. I am still trying to find other possibilities. Still, > would like to get an heads up from someone who is aware of, if any, memory > leak issues in opennlp. > > -- > Thanks & Regards, > Samarth Seksaria > -- Thanks & Regards, Samarth Seksaria
