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f387d024fc
Adds support for joint predicates against window annotations through subquery wrapping while maintaining errors for disjointed filter attempts. The "qualify" wording was used to refer to predicates against window annotations as it's the name of a specialized Snowflake extension to SQL that is to window functions what HAVING is to aggregates. While not complete the implementation should cover most of the common use cases for filtering against window functions without requiring the complex subquery pushdown and predicate re-aliasing machinery to deal with disjointed predicates against columns, aggregates, and window functions. A complete disjointed filtering implementation should likely be deferred until proper QUALIFY support lands or the ORM gains a proper subquery pushdown interface.
32 lines
993 B
Python
32 lines
993 B
Python
from django.db import models
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class Classification(models.Model):
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code = models.CharField(max_length=10)
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class Employee(models.Model):
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name = models.CharField(max_length=40, blank=False, null=False)
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salary = models.PositiveIntegerField()
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department = models.CharField(max_length=40, blank=False, null=False)
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hire_date = models.DateField(blank=False, null=False)
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age = models.IntegerField(blank=False, null=False)
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classification = models.ForeignKey(
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"Classification", on_delete=models.CASCADE, null=True
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)
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bonus = models.DecimalField(decimal_places=2, max_digits=15, null=True)
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class PastEmployeeDepartment(models.Model):
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employee = models.ForeignKey(
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Employee, related_name="past_departments", on_delete=models.CASCADE
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)
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department = models.CharField(max_length=40, blank=False, null=False)
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class Detail(models.Model):
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value = models.JSONField()
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class Meta:
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required_db_features = {"supports_json_field"}
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