Team Exasol
Team Exasol


See for a video demonstration of this process


  1. First, sign up for a developer account at Google
  2. Now create a Google developer project, activate the APIs you need, and most importantly, generate an API key - this will need to be used when you run your script Slide5.JPGSlide6.JPG
  3. You can now import the UDF libraries in EXAOperation in the usual way - see attached for the Python libraries Slide7.JPG

You should replace the API key given here with you own key

Using Google Maps API with Exasol


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 CREATE or replace PYTHON SET SCRIPT google_geocode(placename varchar(200)) emits (lat double, lng double) AS
import googlemaps
def run(ctx):
	gmaps = googlemaps.Client(key='<your-secret-key>')
	geocode_result = gmaps.geocode(ctx.placename)
	for this_place in geocode_result:

select google_geocode('10 Downing Street, London, UK') from dual;

Reverse Geocoding

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CREATE or replace PYTHON SET SCRIPT google_reverse_geocode(lat double, lng double) emits (placename varchar(20000)) AS
import googlemaps
def run(ctx):
	gmaps = googlemaps.Client(key='<your-secret-key>')
	reverse_geocode_result = gmaps.reverse_geocode((, ctx.lng))
	for this_result in reverse_geocode_result:
		if str(this_result["geometry"]["location_type"])=='ROOFTOP':

select google_reverse_geocode(51.5034066, -0.1275923) from dual;

Nearest Bakery to EXASOL Head Office

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CREATE OR REPLACE PYTHON SET SCRIPT google_nearest(address_search varchar(2000), category_search varchar(2000)) 
EMITS (placename varchar(20000), geolocation varchar(200)) AS
import googleplaces
from googleplaces import GooglePlaces

def run(ctx):
	google_places = GooglePlaces('<your-secret-key>')
	query_result = google_places.nearby_search(
	   location=ctx.address_search, keyword=ctx.category_search, rankby='distance')

	for this_place in query_result.places:
		ctx.emit(, str(this_place.geo_location))


select google_nearest('Neumeyerstrasse, Nuremberg, Germany', 'Bakery') from dual;

Driving distance and time between two points

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CREATE or replace PYTHON SET SCRIPT google_summary_directions(from_place varchar(20000), to_place varchar(20000)) 
emits (distance_metres double, duration_seconds double) AS
import googlemaps
def run(ctx):
	gmaps = googlemaps.Client(key='<your-secret-key>')
	query_result = gmaps.directions(ctx.from_place, ctx.to_place, mode='driving')
	for this_result in query_result:
		for legs in this_result["legs"]:
			ctx.emit(distance_metres, duration_seconds)

select google_summary_directions('Buckingham Palace, Westminster, London', '10 Downing Street, London') from dual;

Detailed Satellite Navigation between two points

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Additional References