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Roman Podoliaka
d1e31ab158
This allows to skip buffering of the results on the client side, e.g.
the following snippet:
table = sa.Table(
'testtbl', sa.MetaData(),
sa.Column('id', sa.Integer, primary_key=True),
sa.Column('a', sa.Integer),
sa.Column('b', sa.String(512))
)
table.create(eng, checkfirst=True)
with eng.connect() as conn:
result = conn.execute(table.select().limit(1)).fetchone()
if result is None:
for _ in range(1000):
conn.execute(
table.insert(),
[{'a': random.randint(1, 100000),
'b': ''.join(random.choice(string.ascii_letters) for _ in range(100))}
for _ in range(1000)]
)
with eng.connect() as conn:
for row in conn.execution_options(stream_results=True).execute(table.select()):
pass
now uses ~23 MB of memory instead of ~327 MB on CPython 3.5.2 and
PyMySQL 0.7.9.
psycopg2 implementation and execution options (stream_results,
server_side_cursors) are reused.
Change-Id: I4dc23ce3094f027bdff51b896b050361991c62e2