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136 lines
4.6 KiB
Python
136 lines
4.6 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""update base metrics
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Note that the metrics table was previously partially modifed by revision
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f231d82b9b26.
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Revision ID: e9df189e5c7e
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Revises: 7f2635b51f5d
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Create Date: 2018-07-20 15:57:48.118304
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"""
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# revision identifiers, used by Alembic.
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revision = "e9df189e5c7e"
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down_revision = "7f2635b51f5d"
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from alembic import op
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from sqlalchemy import Column, engine, Integer, String, Text
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from sqlalchemy.ext.declarative import declarative_base
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from superset import db
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from superset.utils.core import generic_find_uq_constraint_name
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Base = declarative_base()
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conv = {"uq": "uq_%(table_name)s_%(column_0_name)s"}
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class BaseMetricMixin:
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id = Column(Integer, primary_key=True)
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class DruidMetric(BaseMetricMixin, Base):
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__tablename__ = "metrics"
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datasource_id = Column(Integer)
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class SqlMetric(BaseMetricMixin, Base):
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__tablename__ = "sql_metrics"
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table_id = Column(Integer)
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def upgrade():
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bind = op.get_bind()
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session = db.Session(bind=bind)
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# Delete the orphaned metrics records.
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for record in session.query(DruidMetric).all():
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if record.datasource_id is None:
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session.delete(record)
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session.commit()
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# Enforce that metrics.metric_name column be non-nullable.
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with op.batch_alter_table("metrics") as batch_op:
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batch_op.alter_column("metric_name", existing_type=String(255), nullable=False)
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# Enforce that metrics.json column be non-nullable.
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with op.batch_alter_table("metrics") as batch_op:
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batch_op.alter_column("json", existing_type=Text, nullable=False)
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# Delete the orphaned sql_metrics records.
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for record in session.query(SqlMetric).all():
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if record.table_id is None:
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session.delete(record)
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session.commit()
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# Reduce the size of the sql_metrics.metric_name column for constraint
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# viability and enforce that it to be non-nullable.
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with op.batch_alter_table("sql_metrics") as batch_op:
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batch_op.alter_column(
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"metric_name", existing_type=String(512), nullable=False, type_=String(255)
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)
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# Enforce that sql_metrics.expression column be non-nullable.
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with op.batch_alter_table("sql_metrics") as batch_op:
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batch_op.alter_column("expression", existing_type=Text, nullable=False)
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# Add the missing uniqueness constraint to the sql_metrics table.
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with op.batch_alter_table("sql_metrics", naming_convention=conv) as batch_op:
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batch_op.create_unique_constraint(
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"uq_sql_metrics_metric_name", ["metric_name", "table_id"]
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)
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def downgrade():
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bind = op.get_bind()
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insp = engine.reflection.Inspector.from_engine(bind)
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# Remove the missing uniqueness constraint from the sql_metrics table.
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with op.batch_alter_table("sql_metrics", naming_convention=conv) as batch_op:
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batch_op.drop_constraint(
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generic_find_uq_constraint_name(
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"sql_metrics", {"metric_name", "table_id"}, insp
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)
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or "uq_sql_metrics_table_id",
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type_="unique",
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)
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# Restore the size of the sql_metrics.metric_name column and forego that it
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# be non-nullable.
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with op.batch_alter_table("sql_metrics") as batch_op:
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batch_op.alter_column(
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"metric_name", existing_type=String(255), nullable=True, type_=String(512)
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)
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# Forego that the sql_metrics.expression column be non-nullable.
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with op.batch_alter_table("sql_metrics") as batch_op:
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batch_op.alter_column("expression", existing_type=Text, nullable=True)
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# Forego that the metrics.metric_name column be non-nullable.
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with op.batch_alter_table("metrics") as batch_op:
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batch_op.alter_column("metric_name", existing_type=String(255), nullable=True)
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# Forego that the metrics.json column be non-nullable.
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with op.batch_alter_table("metrics") as batch_op:
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batch_op.alter_column("json", existing_type=Text, nullable=True)
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