110 lines
4.2 KiB
Python
110 lines
4.2 KiB
Python
# Copyright 2011 OpenStack Foundation
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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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from sqlalchemy import Column, MetaData, Table, and_, select
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from glance.db.sqlalchemy.migrate_repo.schema import (
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Boolean, DateTime, Integer, String, Text, from_migration_import) # noqa
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def get_images_table(meta):
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"""
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Returns the Table object for the images table that
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corresponds to the images table definition of this version.
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"""
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images = Table('images',
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meta,
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Column('id', Integer(), primary_key=True, nullable=False),
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Column('name', String(255)),
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Column('disk_format', String(20)),
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Column('container_format', String(20)),
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Column('size', Integer()),
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Column('status', String(30), nullable=False),
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Column('is_public',
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Boolean(),
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nullable=False,
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default=False,
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index=True),
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Column('location', Text()),
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Column('created_at', DateTime(), nullable=False),
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Column('updated_at', DateTime()),
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Column('deleted_at', DateTime()),
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Column('deleted',
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Boolean(),
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nullable=False,
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default=False,
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index=True),
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mysql_engine='InnoDB',
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extend_existing=True)
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return images
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def upgrade(migrate_engine):
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meta = MetaData()
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meta.bind = migrate_engine
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(define_images_table,) = from_migration_import(
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'001_add_images_table', ['define_images_table'])
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(define_image_properties_table,) = from_migration_import(
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'002_add_image_properties_table', ['define_image_properties_table'])
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conn = migrate_engine.connect()
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images = define_images_table(meta)
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image_properties = define_image_properties_table(meta)
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# Steps to take, in this order:
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# 1) Move the existing type column from Image into
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# ImageProperty for all image records that have a non-NULL
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# type column
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# 2) Drop the type column in images
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# 3) Add the new columns to images
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# The below wackiness correlates to the following ANSI SQL:
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# SELECT images.* FROM images
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# LEFT JOIN image_properties
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# ON images.id = image_properties.image_id
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# AND image_properties.key = 'type'
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# WHERE image_properties.image_id IS NULL
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# AND images.type IS NOT NULL
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#
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# which returns all the images that have a type set
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# but that DO NOT yet have an image_property record
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# with key of type.
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from_stmt = [
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images.outerjoin(image_properties,
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and_(images.c.id == image_properties.c.image_id,
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image_properties.c.key == 'type'))
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]
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and_stmt = and_(image_properties.c.image_id == None,
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images.c.type != None)
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sel = select([images], from_obj=from_stmt).where(and_stmt)
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image_records = conn.execute(sel).fetchall()
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property_insert = image_properties.insert()
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for record in image_records:
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conn.execute(property_insert,
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image_id=record.id,
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key='type',
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created_at=record.created_at,
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deleted=False,
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value=record.type)
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conn.close()
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disk_format = Column('disk_format', String(20))
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disk_format.create(images)
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container_format = Column('container_format', String(20))
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container_format.create(images)
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images.columns['type'].drop()
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