I could be wrong, but I seem to recall that pytables doesn't support parallel IO even though hdf5 does.
Brian On 6/15/07, Conor Robinson <[EMAIL PROTECTED]> wrote: > Hello, > > I'm trying to append a single table from multiple arrays at the same > time (all arrays have same column types). I was wondering if this has > been covered before. Furthermore, would it be faster to create > separate tables for each source (column types equivalent across the > individual tables) and then merge the tables together at the end, if > this is possible? > > I compiled hdf5 with mpi as well as pytables with pympi, although this > may not be relevant here. > > I searched "parallel" in the archives and came up empty. > > Problem: > > All arrays will have the same column types, they're created from the > same data source. At the end I would like to write them into the same > table, in parallel, thus reducing the write bottle neck. > > Thanks, > Conor > > ------------------------------------------------------------------------- > This SF.net email is sponsored by DB2 Express > Download DB2 Express C - the FREE version of DB2 express and take > control of your XML. No limits. Just data. Click to get it now. > http://sourceforge.net/powerbar/db2/ > _______________________________________________ > Pytables-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/pytables-users > ------------------------------------------------------------------------- This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ _______________________________________________ Pytables-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/pytables-users
