AWS Glue is a fully-managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It enables you to prepare and transform your data for analytics, machine learning, and other data processing workloads. AWS Glue CLI (Command Line Interface) is a tool that allows you to interact with the AWS Glue service through the command line.
The AWS Glue CLI provides a set of commands and options that enable you to define and manage your AWS Glue resources. It allows you to perform various tasks, such as creating and managing data catalogs, defining and running ETL jobs, managing workflows, and configuring connections to data sources and targets.
One important command in the AWS Glue CLI is the aws glue command, which serves as the entry point for interacting with the AWS Glue service. It provides access to a wide range of functionality and resources related to AWS Glue.
Additionally, the AWS Glue CLI allows you to define the public endpoint for the AWS Glue service. This endpoint represents the URL that you use to access the AWS Glue service from your command line or other applications. By configuring the endpoint, you can ensure that the CLI communicates with the correct AWS Glue service instance.
Using the AWS Glue CLI, you can automate and script your interactions with AWS Glue, making it easier to integrate AWS Glue into your data processing workflows and pipelines. It provides flexibility and convenience for managing and operating AWS Glue resources, allowing you to streamline your ETL processes and enhance your data management capabilities.
aws glue Command Examples
1. List jobs:
# aws glue list-jobs
2. Start a job:
# aws glue start-job-run --job-name job_name
3. Start running a workflow:
# aws glue start-workflow-run --name workflow_name
4. List triggers:
# aws glue list-triggers
5. Start a trigger:
# aws glue start-trigger --name trigger_name
6. Create a dev endpoint:
# aws glue create-dev-endpoint --endpoint-name name --role-arn role_arn_used_by_endpoint