Understanding the lifecycle of code in Dataform is essential for efficient data transformation. By configuring compilation and execution settings, you can customize Dataform to meet your specific requirements. Whether it's managing development workspaces, scheduling workflow executions, or defining compilation overrides, Dataform provides a comprehensive platform for effectively managing the code lifecycle.
In our previous articles of the "Creating Data Pipeline with Dataform in BigQuery" series, I covered the fundamentals of Dataform and its integration with GCP's BigQuery. In this installment, I will guide you through the process of creating release configurations and workflow configurations in Dataform for scheduled execution, empowering you to automate and optimize your data processing.
Let's dive in!
Release Configurations in Dataform offer a powerful mechanism for configuring and executing SQL workflows on a schedule. By creating release configurations, you can define compilation settings and schedule the frequency of generating compilation results. Let's explore the steps involved in creating release configurations.
What are Release Configurations?
Before we proceed, let's gain a clear understanding of release configurations. When you develop SQL workflows in Dataform, the SQL code undergoes compilation, resulting in a compilation output. Release configurations provide the flexibility to customize compilation settings and establish execution environments, such as staging or production.
Creating a Release Configuration
Now, let's transition our focus towards the creation of the release configuration. This stage involves setting up the necessary parameters and specifications for the release process. We will define the steps and requirements to ensure a smooth and successful scheduled execution.
To set up a release configuration in Dataform, you can do the following steps:
Congratulations! You have successfully created a release configuration in Dataform, which allows you to configure and execute SQL workflows on a schedule. By defining compilation settings and scheduling the frequency of creating compilation results, you can automate your workflow execution.
Dataform provides a powerful feature called workflow configurations, enabling you to schedule and configure the execution of SQL workflows. With workflow configurations, you can automate the execution of Dataform SQL workflows on a schedule of your choice. Let's explore how to create and manage workflow configurations.
What are Workflow Configurations?
Workflow configurations in Dataform allow you to schedule the execution of SQL workflow actions. By creating a workflow configuration, you can select a compilation release configuration, choose SQL workflow actions, and define the execution schedule.
Creating a Workflow Configuration
Now, let's move on to the next step of our journey and create a Workflow Configuration in Dataform. This configuration will play a vital role in organizing and managing the execution of our SQL workflows. By setting up a Workflow configuration, we can automate and optimize the execution of our Dataform SQL workflows according to our desired schedule.
Let's dive into the process and create a Workflow configuration that suits our needs.
While both release configurations and workflow configurations in Dataform serve the purpose of managing the execution of SQL workflows, they have distinct differences in terms of their functionality and use cases.
In short, release configurations are primarily concerned with compilation settings and scheduling the frequency of compilation, while workflow configurations focus on scheduling the execution of SQL workflow actions, managing dependencies, and specifying the execution schedule. By using these configurations together, you can automate your data processing pipelines effectively.
As discussed earlier, the release configuration determines the compilation settings and generates the compilation results for the SQL workflows. By scheduling the release configuration first, you establish a solid foundation for the subsequent workflow configurations to rely on. The workflow configuration specifies the execution schedule and defines which SQL workflow actions to execute. It relies on the compilation results generated by the release configuration to execute the SQL workflows correctly.
Here's an example to illustrate the scheduling of release and workflow configurations:
In this example, the release configuration with ID "DailyCompilation" is scheduled to run every day at 8:00 AM in the UTC timezone. The compilation results are generated during this process.
The workflow configuration with ID "DailyWorkflow" is scheduled to run every day at 9:00 AM in the UTC timezone. This process relies on the compilation results produced by the release configuration and executes the specified SQL workflow actions based on the schedule.
By following this sequence, the compilation results are available before the workflow execution starts, ensuring that the workflow uses the most up-to-date compiled code for its actions.
This article explored how to create release and workflow configurations in Dataform for scheduled execution. Release configurations allow you to customize compilation settings and create execution environments, while workflow configurations enable you to organize and automate SQL workflow executions. By leveraging these features, you can streamline your workflow execution and maximize productivity.
Check out our LinkedIn account, to get insights into our daily working life and get important updates about BigQuery, Data Studio, and marketing analytics
We also started with our own YouTube channel. We talk about important DWH, BigQuery, Data Studio, and many more topics. Check out the channel here.
If you want to learn more about using Google Data Studio and taking it to the next level in combination with BigQuery, check out our Udemy course here.
If you are looking for help setting up a modern and cost-efficient data warehouse or analytical dashboard, email us at email@example.com and we will schedule a call.