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61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
from django.db import connection, migrations
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from django.db.backends.base.schema import BaseDatabaseSchemaEditor
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from django.db.migrations.state import StateApps
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from django.db.models import Exists, OuterRef
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from psycopg2.sql import SQL, Identifier
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def delete_unattached_imageattachments(
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apps: StateApps, schema_editor: BaseDatabaseSchemaEditor
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) -> None:
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ArchivedAttachment = apps.get_model("zerver", "ArchivedAttachment")
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Attachment = apps.get_model("zerver", "Attachment")
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ImageAttachment = apps.get_model("zerver", "ImageAttachment")
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table = ImageAttachment._meta.db_table
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with connection.cursor() as cursor:
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cursor.execute(SQL("SELECT MIN(id), MAX(id) FROM {}").format(Identifier(table)))
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(min_id, max_id) = cursor.fetchone()
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if min_id is None:
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return
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q = ImageAttachment.objects.alias(
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has_attachment=Exists(Attachment.objects.filter(path_id=OuterRef("path_id"))),
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has_archived_attachment=Exists(
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ArchivedAttachment.objects.filter(path_id=OuterRef("path_id"))
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),
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).filter(
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has_attachment=False,
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has_archived_attachment=False,
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)
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# The majority of these rows will have attachment rows still,
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# so we will only be deleting a small number of
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# image_attachment rows per batch; the lookups for attachment
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# and archived_attachment are both by unique path_id, so this
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# query will still be fast.
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batch_size = 10000
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while min_id <= max_id:
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lower = min_id
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upper = min_id + batch_size
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q.filter(id__gte=lower, id__lt=upper).delete()
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min_id = upper
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if min_id > max_id:
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cursor.execute(SQL("SELECT MAX(id) FROM {}").format(Identifier(table)))
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(max_id,) = cursor.fetchone()
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class Migration(migrations.Migration):
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atomic = False
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dependencies = [
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("zerver", "0771_alter_realmemoji_author"),
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]
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operations = [
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migrations.RunPython(
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delete_unattached_imageattachments,
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reverse_code=migrations.RunPython.noop,
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elidable=True,
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),
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]
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