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 Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
