PEP 249 (database api) -- executemany() with iterable?
mal at egenix.com
Thu Oct 14 13:19:31 CEST 2010
Terry Reedy wrote:
> On 10/12/2010 11:10 AM, Roy Smith wrote:
>> PEP 249 says about executemany():
>> Prepare a database operation (query or command) and then
>> execute it against all parameter sequences or mappings
>> found in the sequence seq_of_parameters.
>> are there any plans to update the api to allow an iterable instead of
>> a sequence?
> That question would best be addressed to the pep author
> Marc-André Lemburg <mal at lemburg.com>
Questions about the DB-API should be discussed on the Python DB-SIG
list (put on CC):
Regarding your question:
At the time the PEP was written, Python did not have iterables.
However, even with iterables, please keep in mind that pushing
the data row-per-row over a network does not result in good
performance, so using an iterable will make you update slower.
cursor.executemany() is meant to allow the database module
to optimize sending bulk data to the database and ideally,
it will send the whole sequence to the database in one go.
If you want to efficiently run an update with millions of
entries based on an iterable, it is better to use an intermediate
loop which builds sequences of say 1000 rows and then processes
those with a cursor.executemany() call.
You will likely also do this in multiple transactions to
prevent the database from creating a multi-GB transaction log
for the upload.
Another aspect to keep in mind is error reporting. When sending
bulk data to a database, some databases only report "error"
for the whole data block, so finding the problem can be
troublesome. For that reason, using smaller blocks is better
even when having the data available as real sequence.
Hope that helps,
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