I'm doing some experiments to see what is the best approach to write a lot of data on disk,
On file and running "commit" after every opoeration: Function in_file took 64.531976 seconds to run In memory and not dumping to file: Function in_memory took 0.242011 seconds to run On file and committing only at the end: Function in_file_end took 0.633998 seconds to run On file and using autocommit=True in the transaction: Function in_file_auto took 0.259341 seconds to run The most surprising result is definitively the last one, how can it be almost as fast as the in memory version? I guess it does some magic tricks behind the back, avoiding committing all the time, is that correct? Then probably if I want to have the file always updated the autocommit sounds like the best option.. -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com. To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en.
