9/9/2023 0 Comments Scheduler job![]() More specifically, the Scheduler checks the queue for runs that are due to execute, ensures the run is eligible to start, and then prepares an environment with appropriate settings, credentials, and commands to begin execution. The job queue acts as a waiting area for job runs when they are scheduled or triggered to run runs remain in queue until execution begins. The scheduler queues scheduled or API-triggered job runs, prepares an environment to execute job commands in your cloud data platform, and stores and serves logs and artifacts that are byproducts of run execution.Ī collection of run steps, settings, and a trigger to invoke dbt commands against a project in the user's cloud data platform. The dbt Cloud engine that powers job execution. Scheduler terms įamiliarize yourself with these useful terms to help you understand how the job scheduler works. The scheduler powers running dbt in staging and production environments, bringing ease and confidence to CI/CD workflows and enabling observability and governance in deploying dbt at scale. The scheduler handles various tasks including queuing jobs, creating temporary environments to run the dbt commands required for those jobs, providing logs for debugging and remediation, and storing dbt artifacts for direct consumption/ingestion by the Discovery API. Event-driven execution of dbt Cloud jobs manually triggered by a user to "Run Now".Event-driven execution of dbt Cloud jobs triggered by API.Event-driven execution of dbt Cloud CI jobs triggered by pull requests to the dbt repo.Cron-based execution of dbt Cloud jobs that run on a predetermined cadence. ![]() The scheduler enables both cron-based and event-driven execution of dbt commands in the user’s data platform. The scheduler frees teams from having to build and maintain their own infrastructure, and ensures the timeliness and reliability of data transformations. The job scheduler is the backbone of running jobs in dbt Cloud, bringing power and simplicity to building data pipelines in both continuous integration and production contexts.
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