Django da ko'p qilinadigan xatolar #1

Model save() metodida quyidagi holatni ko'p ishlatish

class User(models.Model):
    def save(self, *args, **kwargs):
        if not self.pk:
            send_welcome_email(self.email)
        super().save(*args, **kwargs)

yaxshidek ko'rinadi ammo unday emas, agar kodda kimdur bulk_create() ishlatgan holda 10k user yaratgan bo'lsa 10k email yuborlmay qoladi🫠

shuning uchun bunaqa ishlarni odatda signals da yoki user save qilayotgan joyda task orqali hal qilish yaxshi yechim 👌

https://medium.com/@pesarakex/how-i-reduced-a-3gb-django-table-query-from-12s-to-200ms-with-just-3-indexes-eec82e99cec9

Django model:

class Record(models.Model):
    user = models.ForeignKey('auth.User', on_delete=models.CASCADE)
    status = models.CharField(max_length=50)
    created_at = models.DateTimeField(auto_now_add=True)

    class Meta:
        indexes = [
            models.Index(fields=['user', 'status'], name='idx_record_user_status'),
            models.Index(fields=['-created_at'], name='idx_record_created_at'),
            models.Index(fields=['user', 'status', '-created_at'], name='idx_record_user_status_created'),
        ]

Lesson?
You don’t need 17 microservices when you can write clean Django apps with clear domain boundaries. Monoliths scale just fine if you don’t treat them like spaghetti.

Link to the article

Pythonda katta hajmdagi tashqi API so'rovlarini qanday qilib qisqa vaqt ichida samarali amalga oshirish mumkin deb yurganlar uchun bir nechta maqolalar bilan bo'lishaman.

1. Yes, Python Scales: Lessons from Handling Millions of API Calls a Day

2. Efficient Techniques for Sending 100,000 HTTP Requests

3. Efficient Methods for Sending 100k Requests