# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Dict, Mapping, Optional, Sequence def insert_geojson( override_values: Optional[Mapping[str, str]] = None ) -> Sequence[Dict[str, object]]: if override_values is None: override_values = {} # [START bigquery_insert_geojson] import geojson from google.cloud import bigquery bigquery_client = bigquery.Client() # This example uses a table containing a column named "geo" with the # GEOGRAPHY data type. table_id = "my-project.my_dataset.my_table" # [END bigquery_insert_geojson] # To facilitate testing, we replace values with alternatives # provided by the testing harness. table_id = override_values.get("table_id", table_id) # [START bigquery_insert_geojson] # Use the python-geojson library to generate GeoJSON of a line from LAX to # JFK airports. Alternatively, you may define GeoJSON data directly, but it # must be converted to a string before loading it into BigQuery. my_geography = geojson.LineString([(-118.4085, 33.9416), (-73.7781, 40.6413)]) rows = [ # Convert GeoJSON data into a string. {"geo": geojson.dumps(my_geography)} ] # table already exists and has a column # named "geo" with data type GEOGRAPHY. errors = bigquery_client.insert_rows_json(table_id, rows) if errors: raise RuntimeError(f"row insert failed: {errors}") else: print(f"wrote 1 row to {table_id}") # [END bigquery_insert_geojson] return errors