Git provider: Click Edit and enter the Git repository information. Workspace: Use the file browser to find the notebook, click the notebook name, and click Confirm. Notebook: In the Source dropdown menu, select a location for the notebook either Workspace for a notebook located in a Databricks workspace folder or Git provider for a notebook located in a remote Git repository. In the Type dropdown menu, select the type of task to run. Replace Add a name for your job… with your job name.Įnter a name for the task in the Task name field. Performs tasks in parallel to persist the features and train a machine learning model. Ingests order data and joins it with the sessionized clickstream data to create a prepared data set for analysis.Įxtracts features from the prepared data. Ingests raw clickstream data and performs processing to sessionize the records. The following diagram illustrates a workflow that: You can configure tasks to run in sequence or parallel. You control the execution order of tasks by specifying dependencies between the tasks. Legacy Spark Submit applications are also supported. You can implement a task in a JAR, a Databricks notebook, a Delta Live Tables pipeline, or an application written in Scala, Java, or Python. You can run your jobs immediately or periodically through an easy-to-use scheduling system. Databricks manages the task orchestration, cluster management, monitoring, and error reporting for all of your jobs. Your job can consist of a single task or can be a large, multi-task workflow with complex dependencies. For the other methods, see Jobs CLI and Jobs API 2.1. This article focuses on performing job tasks using the UI. You can monitor job run results using the UI, CLI, API, and email notifications. You can repair and re-run a failed or canceled job using the UI or API. You can create and run a job using the UI, the CLI, or by invoking the Jobs API. You can also run jobs interactively in the notebook UI. For example, you can run an extract, transform, and load (ETL) workload interactively or on a schedule. A job is a way to run non-interactive code in a Databricks cluster.
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