I'd like to measure the number of database round trips that are associated
with a request to my web application so I can write tests to catch
potential performance regressions. I've been using
mock.Mock(wraps=connection.execute) to keep count and while I think this
works for selects, I don't have a good understanding of when executed
statements result in serialised network round trips or when they can be
'pipelined', e.g. when inserting new rows.
So to take a real example, posting to my web app results in the insertion
of a row in each of four tables. Afterwards, the connection.execute mock's
call_count is 4 and I see 4 INSERTs in my sqlalchemy log:
INFO:sqlalchemy.engine.base.Engine:INSERT INTO resources (rid) VALUES (?)
INFO:sqlalchemy.engine.base.Engine:('7745b647ff154ff39cedb897d4e2983c',)
INFO:sqlalchemy.engine.base.Engine:INSERT INTO statements (rid, predicate,
object, tid) VALUES (?, ?, ?, ?)
INFO:sqlalchemy.engine.base.Engine:('7745b647ff154ff39cedb897d4e2983c',
'organism', '{"scientific_name": "Homo sapiens", "taxon_id": 9606, "_uuid":
"7745b647-ff15-4ff3-9ced-b897d4e2983c", "organism_name": "human"}',
'edea69795dd14eb6bed73321cff54471')
INFO:sqlalchemy.engine.base.Engine:INSERT INTO transactions (tid, data)
VALUES (?, ?)
INFO:sqlalchemy.engine.base.Engine:('edea69795dd14eb6bed73321cff54471',
'{"tid": "edea6979-5dd1-4eb6-bed7-3321cff54471", "description":
"/organisms/", "user": " remoteuser:TEST"}')
INFO:sqlalchemy.engine.base.Engine:INSERT INTO current_statements (rid,
predicate, sid) VALUES (?, ?, ?)
INFO:sqlalchemy.engine.base.Engine:('7745b647ff154ff39cedb897d4e2983c',
'organism', 1)
Is there some way to tell which statements end up having data read from the
cursor? Here I have one dependent insert which required the autoincremented
primary key from a related row whereas the rest were fully specified.
Laurence
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