2014-01-07 22:20:29 +01:00
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from __future__ import absolute_import
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import time
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from psycopg2.extensions import cursor, connection
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# Similar to the tracking done in Django's CursorDebugWrapper, but done at the
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# psycopg2 cursor level so it works with SQLAlchemy.
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def wrapper_execute(self, action, sql, params=()):
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start = time.time()
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try:
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return action(sql, params)
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finally:
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stop = time.time()
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duration = stop - start
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self.connection.queries.append({
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'time': "%.3f" % duration,
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})
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class TimeTrackingCursor(cursor):
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"""A psycopg2 cursor class that tracks the time spent executing queries."""
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def execute(self, query, vars=None):
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return wrapper_execute(self, super(TimeTrackingCursor, self).execute, query, vars)
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def executemany(self, query, vars):
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return wrapper_execute(self, super(TimeTrackingCursor, self).executemany, query, vars)
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class TimeTrackingConnection(connection):
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"""A psycopg2 connection class that uses TimeTrackingCursors."""
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def __init__(self, *args, **kwargs):
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self.queries = []
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super(TimeTrackingConnection, self).__init__(*args, **kwargs)
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def cursor(self, name=None):
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if name is None:
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return super(TimeTrackingConnection, self).cursor(cursor_factory=TimeTrackingCursor)
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else:
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return super(TimeTrackingConnection, self).cursor(name, cursor_factory=TimeTrackingCursor)
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def reset_queries():
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from django.db import connections
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for conn in connections.all():
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2015-11-24 07:01:35 +01:00
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if conn.connection is not None:
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conn.connection.queries = []
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