A Monday 13 December 2010 10:56:04 david.bri...@ubs.com escrigué: > Hi Francesc, > > The challenge I face is getting it off my machine - I've ordered an > encrypted USB stick that I'll post to you in due course.
Okay. > Currently, it appears that memory is consumed in the numpy loadtxt > code (whilst loading the csv) and not released until I do a file > close() PyTables statement. See the task manage screen grabs > enclosed. I think you missed the screen captures ;-) > I've also managed to corrupt another file - I had to end process with > the file open. I can't even reopen that file. Yes. That's typical in HDF5 apps: whenever that it aborts (so, without properly closing files) during a write operation, chances are that your files will get corrupted. The HDF5 crew is working on implementing a journaled version of it that would eventually solve this, but they are not there yet. Cheers, -- Francesc Alted ------------------------------------------------------------------------------ Oracle to DB2 Conversion Guide: Learn learn about native support for PL/SQL, new data types, scalar functions, improved concurrency, built-in packages, OCI, SQL*Plus, data movement tools, best practices and more. http://p.sf.net/sfu/oracle-sfdev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
