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Are you ready for a new challenge? In this episode of “What’s Under the Snowflake?” let’s talk about Python UDF and Snowflake! Frosty Frida – week 5!

“To start out create a simple table with a single column with a number, the size and amount are up to you. After that we’ll start with a very basic function: multiply those numbers by 3. The challenge here is not ‘build a very difficult python function’ but to build and use the function in Snowflake”

Frosty Friday ‘Week 5 – Basic’

Snowflake SuperHeros suggest to test the code with a simple select statement :

SELECT timesthree(start_int)
FROM FF_week_5

How to proceed? A possible strategy!

  • P1: Create a table
    • Just remember that before doing anything, you need to configure the environment into your worksheet.
    • You need to CREATE a table. No matter what you choose. The task simply requests a single column with a number. By means a select statement you can see the original values of such table.
  • P2: Multiply values for others
    • The goal of this challenge is to build and use a Python UDF. Do you want a clear but comprehensive presentation of this topic? Read the blog! It will really help you!
    • In Snowflake you can use several User Defined Functions since you can write both Python, SQL, Java, and JavaScript functions.

P1: Create a table

Remember to configure the working environment before starting No idea? Look at the blog!

--Create a new table and insert data into it 
CREATE OR REPLACE TABLE SIMPLE_TABLE
AS SELECT uniform(1, 100, random()) as VALUES_TO_MULT;

--Query your table to see how actually it is
SELECT * FROM SIMPLE_TABLE;

At this point, you should have something like the picture below:

P2: Multiply values for others

The goal of the challenge is to multiply the obtained value by three. By a Python UDF we can reach it. How? We need to create the function that takes as input the value into the SIMPLE_TABLE as returns the result of the multiplication. Hence:

CREATE OR REPLACE FUNCTION multiply_by_three(i int)
RETURNS INT
LANGUAGE PYTHON
RUNTIME_VERSION = '3.8'
HANDLER = 'multiply_by_three_py'
AS
$$
def multiply_by_three_py(i):
  return i*3
$$;

Having set your desired function, you can make a SELECT statement that returns the result of the defined UDF ‘multiply_by_three’ which has the value into the SIMPLE_TABLE as input.

SELECT multiply_by_three (SELECT * FROM SIMPLE_TABLE) AS RESULT_OF_MULTx3;

Unsurprisingly, we expect the outcome of this statement to be…

All we did was multiply the original table value by three!

Auteur

  • Sofia Pierini

    She is a critical thinker who draws inspiration from the intersection of logic, coding, and philosophy. She holds a Master's Degree in Philosophy and graduated as a Data Engineer from the Nimbus Intelligence Academy, earning certifications in Snowflake and dbt. Strong-willed and multifaceted, she has demonstrated competence in various interdisciplinary fields. As the Leader of the Italian Snowflake User Group and a founding member of the Snowflake Squad, she is deeply committed to fostering a strong and dynamic Snowflake Community. Her passion for technology and progress is evident in her innovative approach to problem-solving. She enjoys hardcore punk music and loves coffee.

Sofia Pierini

She is a critical thinker who draws inspiration from the intersection of logic, coding, and philosophy. She holds a Master's Degree in Philosophy and graduated as a Data Engineer from the Nimbus Intelligence Academy, earning certifications in Snowflake and dbt. Strong-willed and multifaceted, she has demonstrated competence in various interdisciplinary fields. As the Leader of the Italian Snowflake User Group and a founding member of the Snowflake Squad, she is deeply committed to fostering a strong and dynamic Snowflake Community. Her passion for technology and progress is evident in her innovative approach to problem-solving. She enjoys hardcore punk music and loves coffee.