A Thursday 14 April 2011 14:14:09 Leon Evers escrigué: > Hi all, > > I have just used pytables for a project the first time, with great > success, except that I am running into a problem which I suspect may > be a bug... > > I am reading in a large number of HDF5 files, in multiple threads, > and I notice that my application's process is consuming more and > more memory. Particularly, I see it is keeping hold of large amounts > of tuples and dicts that store table definitions. > > This seems like a bug to me, is this a known issue? And if so, is > there anything I can do about it?
How many tables do you have on each file? PyTables (and HDF5 in general) is designed to deal mainly with few, large tables, not many, small tables. Which is your situation? -- Francesc Alted ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
