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72 lines
2.5 KiB
Python
72 lines
2.5 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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import logging
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from sqlalchemy import BigInteger, Float, inspect, Text
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import superset.utils.database as database_utils
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from superset import db
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from superset.sql.parse import Table
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from superset.utils import json
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from .helpers import get_table_connector_registry, read_example_data
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logger = logging.getLogger(__name__)
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def load_sf_population_polygons(
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only_metadata: bool = False, force: bool = False
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) -> None:
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tbl_name = "sf_population_polygons"
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database = database_utils.get_example_database()
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with database.get_sqla_engine() as engine:
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schema = inspect(engine).default_schema_name
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table_exists = database.has_table(Table(tbl_name, schema))
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if not only_metadata and (not table_exists or force):
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df = read_example_data(
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"examples://sf_population.json.gz", compression="gzip"
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)
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df["contour"] = df.contour.map(json.dumps)
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df.to_sql(
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tbl_name,
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engine,
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schema=schema,
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if_exists="replace",
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chunksize=500,
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dtype={
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"zipcode": BigInteger,
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"population": BigInteger,
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"contour": Text,
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"area": Float,
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},
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index=False,
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)
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logger.debug("Creating table %s reference", tbl_name)
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table = get_table_connector_registry()
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tbl = db.session.query(table).filter_by(table_name=tbl_name).first()
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if not tbl:
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tbl = table(table_name=tbl_name, schema=schema)
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db.session.add(tbl)
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tbl.description = "Population density of San Francisco"
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tbl.database = database
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tbl.filter_select_enabled = True
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tbl.fetch_metadata()
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