A Wednesday 22 September 2010 22:04:53 David E. Sallis escrigué: > I have a table in an HDF5 file consisting of 9 columns and just over > 6000 rows, and an application which performs updates on these table > rows. The application runs hourly and performs updates to the table > during each run. No new table rows are added during a run. I > perform updates to the table by using row.update() inside a > table.where() iterator loop. > > I have noticed that after each application run the size of the file > increases significantly, and over time the file size balloons from > just over 21 MB to well over 750 MB, with no new data being added, > just updated. > > h5repack() run on this file will restore it to its original size with > no loss of data. > > My questions are: > > 1) What causes the file size increase and > 2) is there anything I can do to prevent it? > > I am using PyTables 2.1.1, HDF5 1.8.3, Python 2.6 under Linux RedHat > 5.
Hmm, sounds like a bug somewhere. Could you try with a recent version of HDF5? If that does not help, could you please send me a small script reproducing that? -- Francesc Alted ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
