我在以下szenario上遇到了性能问题:
我的模特:
class Journey(models.Models):
#...
class Station(models.Model):
#...
class Connection(models.Model):
station1 = models.ForeignKey(Station, on_delete=models.CASCADE, related_name='station1')
station2 = models.ForeignKey(Station, on_delete=models.CASCADE, related_name='station2')
现在我通过一个*安排了一个列表,其中包含旅程中的相邻Stations_ids(从a到b),我需要获得匹配的连接。我已经使用了这两种可能性,但两者都需要相同的时间,长途旅行可能超过10秒:
for i in range(0, len(journey)-1):
try:
connection = Connection.objects.get(station1_id=journey[i], station2_id=journey[i+1])
except Connection.DoesNotExist:
try:
connection = Connection.objects.get(station1_id=journey[i+1], station2_id=journey[i])
except Connection.DoesNotExist:
pass
journey.connections.add(connection)
for i in range(0, len(journey)-1):
s1 = Station.objects.get(id = journey[i])
s2 = Station.objects.get(id= journey[i+1])
if (Connection.objects.filter(station1=s1, station2=s2).exists()):
connection = Connection.objects.get(station1=s1, station2=s2)
elif (Connection.objects.filter(station1=s2, station2=s1).exists()):
connection = Connection.objects.get(station1=s2, station2=s1)
journey.connections.add(connection)
如何让它更快?
答案 0 :(得分:0)
您可以尝试直接编写sql查询而不是django工具。 试试这段代码:
Connection.objects.get(station1=s1, station2=s2)
而不是:
yourapp_connection
将Connection.objects.raw('SELECT * FROM yourapp_connection WHERE station1={0} AND station2={1} OR station1={1} AND station2={0}'.format(s1,s2))
替换为您的连接表的名称。
您可以将两个if语句组合到一个查询中:
@
这可能会让它更快。