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Message #51642
[Bug 1586816] [NEW] SAWarning: in_(empty sequence) from get_networks_segments()
Public bug reported:
neutron/.tox/py27/local/lib/python2.7/site-packages/sqlalchemy/sql/default_comparator.py:153:
SAWarning: The IN-predicate on "networksegments.network_id" was
invoked with an empty sequence. This results in a contradiction,
which nonetheless can be expensive to evaluate. Consider
alternative strategies for improved performance.
This is coming from neutron.db.segments_db.get_networks_segments:
def get_networks_segments(session, network_ids, filter_dynamic=False):
with session.begin(subtransactions=True):
query = (session.query(NetworkSegment).
filter(NetworkSegment.network_id.in_(network_ids)).
order_by(NetworkSegment.segment_index))
if filter_dynamic is not None:
query = query.filter_by(is_dynamic=filter_dynamic)
records = query.all()
result = {net_id: [] for net_id in network_ids}
for record in records:
result[record.network_id].append(_make_segment_dict(record))
return result
** Affects: neutron
Importance: Low
Status: New
** Tags: db low-hanging-fruit
** Changed in: neutron
Importance: Undecided => Low
** Tags added: db low-hanging-fruit
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https://bugs.launchpad.net/bugs/1586816
Title:
SAWarning: in_(empty sequence) from get_networks_segments()
Status in neutron:
New
Bug description:
neutron/.tox/py27/local/lib/python2.7/site-packages/sqlalchemy/sql/default_comparator.py:153:
SAWarning: The IN-predicate on "networksegments.network_id" was
invoked with an empty sequence. This results in a contradiction,
which nonetheless can be expensive to evaluate. Consider
alternative strategies for improved performance.
This is coming from neutron.db.segments_db.get_networks_segments:
def get_networks_segments(session, network_ids, filter_dynamic=False):
with session.begin(subtransactions=True):
query = (session.query(NetworkSegment).
filter(NetworkSegment.network_id.in_(network_ids)).
order_by(NetworkSegment.segment_index))
if filter_dynamic is not None:
query = query.filter_by(is_dynamic=filter_dynamic)
records = query.all()
result = {net_id: [] for net_id in network_ids}
for record in records:
result[record.network_id].append(_make_segment_dict(record))
return result
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