我在prefetch_related具有 5 m2m 字段的模型上遇到了一些严重的性能问题,并且我正在预取一些嵌套的 m2m 字段。
class TaskModelManager(models.Manager):
def get_queryset(self):
return super(TaskModelManager, self).get_queryset().exclude(internalStatus=2).prefetch_related("parent", "takes", "takes__flags", "assignedUser", "assignedUser__flags", "asset", "asset__flags", "status", "approvalWorkflow", "viewers", "requires", "linkedTasks", "activities")
class Task(models.Model):
uuid = models.UUIDField(primary_key=True, default=genOptimUUID, editable=False)
internalStatus = models.IntegerField(default=0)
parent = models.ForeignKey("self", blank=True, null=True, related_name="childs")
name = models.CharField(max_length=45)
taskType = models.ForeignKey("TaskType", null=True)
priority = models.IntegerField()
startDate = models.DateTimeField()
endDate = models.DateTimeField()
status = models.ForeignKey("ProgressionStatus")
assignedUser = models.ForeignKey("Asset", related_name="tasksAssigned")
asset = models.ForeignKey("Asset", related_name="tasksSubject")
viewers = models.ManyToManyField("Asset", blank=True, related_name="followedTasks")
step = models.ForeignKey("Step", blank=True, null=True, …Run Code Online (Sandbox Code Playgroud)