How to create a javascript UDF in Snowflake

This recipe helps you create a javascript UDF in Snowflake

Recipe Objective: How to create a javascript UDF in Snowflake?

Snowflake is one of the few enterprise-ready cloud data warehouses that brings simplicity without sacrificing features. It automatically scales, both up and down, to get the right balance of performance vs. cost. Snowflake's claim to fame is that it separates computers from storage. This is significant because almost every other database, Redshift included, combines the two, meaning you must size for your largest workload and incur the cost that comes with it. In this scenario, we will learn how to create a javascript UDF  that specifies the code is in the JavaScript language.

Data Ingestion with SQL using Google Cloud Dataflow

System requirements:

Step 1: Log in to the account

We need to log in to the snowflake account. Go to snowflake.com and then log in by providing your credentials. Follow the steps provided in the link above.

Step 2: Create a Database in Snowflake

We can create it in two ways:  using the CREATE DATABASE statement.

Note: that you do not need to create a schema in the database because each database created in Snowflake contains a default public schema.

Syntax of the statement:

create or replace database [database-name] ;

Example of the statement:

create or replace database dezyre_test ;

The output of the above statement: As you can see, the above statement is successfully run in the below image

bigdata_1.jpg

Step 3: Select Database

To select the database which you created earlier, we will use the "use" statement

Syntax of the statement:

Use database [database-name];

Example of the statement:

use database dezyre_test;

Step 4: Creating SQL UDF function

Here we are going to know how we create a user-defined function. For example, we will create a user-defined function that takes two values as input and returns the output in this scenario.

Syntax of the javascript function:

CREATE [ OR REPLACE ] [ SECURE ] FUNCTION ( [ ] [ , ... ] ) RETURNS { | TABLE ( [ , ... ] ) } [ [ NOT ] NULL ] LANGUAGE JAVASCRIPT [ { CALLED ON NULL INPUT | { RETURNS NULL ON NULL INPUT | STRICT } } ] [ VOLATILE | IMMUTABLE ] [ COMMENT = '' ] AS ''

Example of the javascript function:

create function js_check_bignumber(M float, N float) returns float language javascript as if(M>N)returnMelsereturnN if (M>N) {return M } else { return N} ;

The output of the above statement:

bigdata_2.jpg

Using the above function run an example by providing the two values to get the output.

select js_check_bignumber(100,10);

The output of the function returns:

bigdata_3.jpg

Conclusion

Here we learned to create a javascript UDF in Snowflake.

What Users are saying..

profile image

Ameeruddin Mohammed

ETL (Abintio) developer at IBM
linkedin profile url

I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More

Relevant Projects

Airline Dataset Analysis using PySpark GraphFrames in Python
In this PySpark project, you will perform airline dataset analysis using graphframes in Python to find structural motifs, the shortest route between cities, and rank airports with PageRank.

Learn Data Processing with Spark SQL using Scala on AWS
In this AWS Spark SQL project, you will analyze the Movies and Ratings Dataset using RDD and Spark SQL to get hands-on experience on the fundamentals of Scala programming language.

Build an AWS ETL Data Pipeline in Python on YouTube Data
AWS Project - Learn how to build ETL Data Pipeline in Python on YouTube Data using Athena, Glue and Lambda

Build an ETL Pipeline with DBT, Snowflake and Airflow
Data Engineering Project to Build an ETL pipeline using technologies like dbt, Snowflake, and Airflow, ensuring seamless data extraction, transformation, and loading, with efficient monitoring through Slack and email notifications via SNS

Azure Data Factory and Databricks End-to-End Project
Azure Data Factory and Databricks End-to-End Project to implement analytics on trip transaction data using Azure Services such as Data Factory, ADLS Gen2, and Databricks, with a focus on data transformation and pipeline resiliency.

Real-time Auto Tracking with Spark-Redis
Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Data Processing and Transformation in Hive using Azure VM
Hive Practice Example - Explore hive usage efficiently for data transformation and processing in this big data project using Azure VM.

Build an ETL Pipeline with Talend for Export of Data from Cloud
In this Talend ETL Project, you will build an ETL pipeline using Talend to export employee data from the Snowflake database and investor data from the Azure database, combine them using a Loop-in mechanism, filter the data for each sales representative, and export the result as a CSV file.

Learn to Create Delta Live Tables in Azure Databricks
In this Microsoft Azure Project, you will learn how to create delta live tables in Azure Databricks.

Python and MongoDB Project for Beginners with Source Code-Part 1
In this Python and MongoDB Project, you learn to do data analysis using PyMongo on MongoDB Atlas Cluster.