61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
# Copyright 2013 Red Hat, Inc.
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import sqlalchemy
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from sqlalchemy import func
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from sqlalchemy import orm
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from sqlalchemy import Table
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def upgrade(migrate_engine):
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meta = sqlalchemy.schema.MetaData(migrate_engine)
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image_locations = Table('image_locations', meta, autoload=True)
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session = orm.sessionmaker(bind=migrate_engine)()
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# NOTE(flaper87): Lets group by
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# image_id, location and metadata.
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grp = [image_locations.c.image_id,
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image_locations.c.value,
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image_locations.c.meta_data]
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# NOTE(flaper87): Get all duplicated rows
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qry = (session.query(*grp)
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.filter(image_locations.c.deleted == False)
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.group_by(*grp)
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.having(func.count() > 1))
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for row in qry:
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# NOTE(flaper87): Not the fastest way to do it.
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# This is the best way to do it since sqlalchemy
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# has a bug around delete + limit.
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s = (sqlalchemy.sql.select([image_locations.c.id])
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.where(image_locations.c.image_id == row[0])
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.where(image_locations.c.value == row[1])
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.where(image_locations.c.meta_data == row[2])
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.where(image_locations.c.deleted == False)
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.limit(1).execute())
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stmt = (image_locations.delete()
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.where(image_locations.c.id == s.first()[0]))
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stmt.execute()
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session.close()
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def downgrade(migrate_engine):
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# NOTE(flaper87): There's no downgrade
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# path for this.
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return
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