Workflow
Learn how to create, update, and manage AWS Glue Workflows using Alchemy Cloud Control.
The Workflow resource lets you manage AWS Glue Workflows for orchestrating complex ETL (Extract, Transform, Load) processes.
Minimal Example
Section titled “Minimal Example”Create a basic AWS Glue Workflow with a name and description:
import AWS from "alchemy/aws/control";
const basicWorkflow = await AWS.Glue.Workflow("basicWorkflow", { name: "DataProcessingWorkflow", description: "A workflow for processing data from various sources.", maxConcurrentRuns: 2});
Advanced Configuration
Section titled “Advanced Configuration”Configure an AWS Glue Workflow with additional properties like default run properties and tags:
const advancedWorkflow = await AWS.Glue.Workflow("advancedWorkflow", { name: "AdvancedDataWorkflow", description: "An advanced workflow with custom properties.", defaultRunProperties: { "key1": "value1", "key2": "value2" }, tags: { "Environment": "Production", "Team": "DataScience" }, maxConcurrentRuns: 5});
Adoption of Existing Resource
Section titled “Adoption of Existing Resource”Create a workflow that adopts an existing resource instead of failing if it already exists:
const adoptedWorkflow = await AWS.Glue.Workflow("adoptedWorkflow", { name: "ExistingWorkflow", description: "This workflow adopts an existing Glue Workflow.", adopt: true});
Workflow with Detailed Run Properties
Section titled “Workflow with Detailed Run Properties”Set up a workflow that utilizes detailed run properties for customized execution:
const detailedRunPropertiesWorkflow = await AWS.Glue.Workflow("detailedRunPropertiesWorkflow", { name: "DetailedRunPropertiesWorkflow", description: "Workflow with specific run properties.", defaultRunProperties: { "source": "S3Bucket", "format": "CSV" }, maxConcurrentRuns: 3});