chore: db migrate timeseries_limit_metric to legacy_order_by in pivottable2 (#16849)

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Yongjie Zhao 2021-09-27 09:25:51 +01:00 committed by GitHub
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"""migrate timeseries_limit_metric to legacy_order_by in pivot_table_v2
Revision ID: 60dc453f4e2e
Revises: 3ebe0993c770
Create Date: 2021-09-27 11:31:53.453164
"""
# revision identifiers, used by Alembic.
revision = "60dc453f4e2e"
down_revision = "3ebe0993c770"
import json
import re
from alembic import op
from sqlalchemy import and_, Column, Integer, String, Text
from sqlalchemy.ext.declarative import declarative_base
from superset import db
Base = declarative_base()
class Slice(Base):
__tablename__ = "slices"
id = Column(Integer, primary_key=True)
slice_name = Column(Text)
viz_type = Column(String(250))
params = Column(Text)
def upgrade():
bind = op.get_bind()
session = db.Session(bind=bind)
where_clause = and_(
Slice.viz_type == "pivot_table_v2",
Slice.params.like('%"timeseries_limit_metric%'),
)
slices = session.query(Slice).filter(where_clause)
total = slices.count()
idx = 0
for slc in slices.yield_per(100):
idx += 1
print(f"Upgrading ({idx}/{total}): {slc.slice_name}#{slc.id}")
params = json.loads(slc.params)
params["legacy_order_by"] = params.pop("timeseries_limit_metric", None)
slc.params = json.dumps(params, sort_keys=True, indent=4)
session.commit()
session.close()
def downgrade():
# slices can't be downgraded
pass