Step 1: Create the remote service (Google Cloud Function) in the console

This topic provides detailed instructions for creating a Google Cloud Function for use as the remote service for your external function.

Previous step

Planning an external function for GCP

Create the Google Cloud Function

Create the function by following Google’s instructions to create a Cloud Function.

If you are creating the function using the sample Python-language function provided by Snowflake, then choose Python Quickstart; otherwise, choose the appropriate QuickStart based on the language you are using.

As you follow Google’s instructions, make sure to do the following:

  1. Specify that the trigger for the function is HTTP.

  2. Copy the trigger URL to the Cloud Function Trigger URL field in your tracking worksheet.

  3. In the Authentication section, select Require authentication.

    The GCP instructions say to select Allow unauthenticated invocations. That is acceptable for sample functions, including the sample function provided by Snowflake, but most production systems should require authentication.

  4. If Require HTTPS is not already enabled, then enable it.

  5. Click Save.

  6. Select an appropriate Runtime. If you are creating the sample Python function supplied by Snowflake, then choose the Python 3.7 runtime.


    Select the Runtime value before you paste in the code.

  7. Replace the default code with either the Snowflake sample code or your own custom code. The Snowflake sample code is provided in Sample synchronous Google Cloud Function (in this topic).

  8. Make sure that the Entry point matches the name of the function (in this case, echo).

Test the Google Cloud Function

After you finish creating the Google Cloud Function, use the Testing tab in the console to call the function to make sure that it works as expected.

For the sample Python function provided by Snowflake, use the following test data (replace any default data in the Testing tab with the data below):

{ "data":
    [ 0, 43, "page" ],
    [ 1, 42, "life, the universe, and everything" ]

The execution results should be similar to:

    [0, [43, "page"] ],
    [1, [42, "life, the universe, and everything"] ]

The results might be displayed in a different format from the example shown above.

If the test succeeded, you now have a Google Cloud Function that you can use as the remote service for your external function.

Sample synchronous Google Cloud Function

This sample code combines the input parameter values into a single list (array) and returns that list as a single value of SQL type VARIANT. The code is written in Python 3.7.

This function accepts and returns data in the same format (JSON) that Snowflake sends and reads.

import json


def echo(request):
        # The list of rows to return.
        return_value = []

        payload = request.get_json()
        rows = payload["data"]

        # For each input row
        for row in rows:
            # Include the row number.
            row_number = row[0]
            # Combine the value(s) in the row into a Python list that will be treated as an SQL VARIANT.
            row_value = row[1:]
            row_to_return = [row_number, row_value]

        json_compatible_string_to_return = json.dumps( { "data" : return_value } )
        return (json_compatible_string_to_return, HTTP_SUCCESS)

        return(, HTTP_FAILURE)

For more information about data formats, see Remote Service Input and Output Data Formats .

Next step

Step 2: Create the proxy service (Google Cloud API Gateway) in the console