superset 2020-01-08_01-17_e96dbf2cfef0_datasource_cluster_fk 源码
superset 2020-01-08_01-17_e96dbf2cfef0_datasource_cluster_fk 代码
文件路径:/superset/migrations/versions/2020-01-08_01-17_e96dbf2cfef0_datasource_cluster_fk.py
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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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# under the License.
"""datasource_cluster_fk
Revision ID: e96dbf2cfef0
Revises: 817e1c9b09d0
Create Date: 2020-01-08 01:17:40.127610
"""
import sqlalchemy as sa
from alembic import op
from superset import db
from superset.utils.core import (
generic_find_fk_constraint_name,
generic_find_uq_constraint_name,
)
# revision identifiers, used by Alembic.
revision = "e96dbf2cfef0"
down_revision = "817e1c9b09d0"
def upgrade():
bind = op.get_bind()
insp = sa.engine.reflection.Inspector.from_engine(bind)
# Add cluster_id column
with op.batch_alter_table("datasources") as batch_op:
batch_op.add_column(sa.Column("cluster_id", sa.Integer()))
# Update cluster_id values
metadata = sa.MetaData(bind=bind)
datasources = sa.Table("datasources", metadata, autoload=True)
clusters = sa.Table("clusters", metadata, autoload=True)
statement = datasources.update().values(
cluster_id=sa.select([clusters.c.id])
.where(datasources.c.cluster_name == clusters.c.cluster_name)
.as_scalar()
)
bind.execute(statement)
with op.batch_alter_table("datasources") as batch_op:
# Drop cluster_name column
fk_constraint_name = generic_find_fk_constraint_name(
"datasources", {"cluster_name"}, "clusters", insp
)
uq_constraint_name = generic_find_uq_constraint_name(
"datasources", {"cluster_name", "datasource_name"}, insp
)
batch_op.drop_constraint(fk_constraint_name, type_="foreignkey")
batch_op.drop_constraint(uq_constraint_name, type_="unique")
batch_op.drop_column("cluster_name")
# Add constraints to cluster_id column
batch_op.alter_column("cluster_id", existing_type=sa.Integer, nullable=False)
batch_op.create_unique_constraint(
"uq_datasources_cluster_id", ["cluster_id", "datasource_name"]
)
batch_op.create_foreign_key(
"fk_datasources_cluster_id_clusters", "clusters", ["cluster_id"], ["id"]
)
def downgrade():
bind = op.get_bind()
insp = sa.engine.reflection.Inspector.from_engine(bind)
# Add cluster_name column
with op.batch_alter_table("datasources") as batch_op:
batch_op.add_column(sa.Column("cluster_name", sa.String(250)))
# Update cluster_name values
metadata = sa.MetaData(bind=bind)
datasources = sa.Table("datasources", metadata, autoload=True)
clusters = sa.Table("clusters", metadata, autoload=True)
statement = datasources.update().values(
cluster_name=sa.select([clusters.c.cluster_name])
.where(datasources.c.cluster_id == clusters.c.id)
.as_scalar()
)
bind.execute(statement)
with op.batch_alter_table("datasources") as batch_op:
# Drop cluster_id column
fk_constraint_name = generic_find_fk_constraint_name(
"datasources", {"id"}, "clusters", insp
)
uq_constraint_name = generic_find_uq_constraint_name(
"datasources", {"cluster_id", "datasource_name"}, insp
)
batch_op.drop_constraint(fk_constraint_name, type_="foreignkey")
batch_op.drop_constraint(uq_constraint_name, type_="unique")
batch_op.drop_column("cluster_id")
# Add constraints to cluster_name column
batch_op.alter_column(
"cluster_name", existing_type=sa.String(250), nullable=False
)
batch_op.create_unique_constraint(
"uq_datasources_cluster_name", ["cluster_name", "datasource_name"]
)
batch_op.create_foreign_key(
"fk_datasources_cluster_name_clusters",
"clusters",
["cluster_name"],
["cluster_name"],
)
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