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Articles by Ashish Anand
Page 3 of 14
How to use Boto3 to to paginate through all databases present in AWS Glue
In this article, we will see how to paginate through all databases present in AWS Glue using the boto3 library in Python. Problem Statement Use boto3 library in Python to paginate through all databases from AWS Glue Data Catalog that is created in your account. Pagination Parameters The pagination function uses three important parameters: max_items − denotes the total number of records to return. If the number of available records is greater than max_items, then a NextToken will be provided in the response to resume pagination. page_size − denotes the size of each page. ...
Read MoreHow to use Boto3 to paginate through all crawlers present in AWS Glue
In this article, we will explore how to use Boto3 to paginate through all AWS Glue crawlers in your account efficiently. Overview AWS Glue crawlers can be numerous in large accounts. Using pagination allows you to retrieve crawler information in manageable chunks, preventing timeouts and memory issues. Parameters The pagination function accepts three key parameters − max_items − Total number of records to return. If more records exist, a NextToken is provided for continuation. page_size − Number of crawlers per page/batch. starting_token − Token from previous response to continue pagination from a specific point. ...
Read MoreHow to use Boto3 to update the details of a workflow in AWS Glue Catalog
In this article, we will see how to update the details of a workflow in AWS Glue Catalog using the boto3 library in Python. What is AWS Glue Workflow? An AWS Glue workflow is a visual representation of a multi-job ETL process. You can use workflows to design complex ETL operations that involve multiple crawlers, jobs, and triggers. The update_workflow function allows you to modify workflow properties like description and default run properties. Problem Statement Use boto3 library in Python to update details of a workflow that is created in your AWS Glue account. Required ...
Read MoreHow to use Boto3 to update the scheduler of a crawler in AWS Glue Data Catalog
In this article, we will see how to update the scheduler of a crawler in AWS Glue Data Catalog using the boto3 library in Python. Problem Statement Use boto3 library in Python to update the scheduler of an existing crawler in AWS Glue. Prerequisites Before implementing the solution, ensure you have: AWS credentials configured (via AWS CLI, IAM roles, or environment variables) boto3 library installed: pip install boto3 Proper IAM permissions for Glue operations Approach to Update Crawler Schedule ...
Read MoreHow to use Boto3 to remove tags from AWS Glue Resources
In this article, we will see how to remove tags from AWS Glue Resources using the boto3 library. AWS Glue resources can have tags for organization and cost tracking, and sometimes you need to remove specific tags programmatically. Problem Statement Use boto3 library in Python to remove tags from AWS Glue Resources like databases, tables, crawlers, and jobs. Required Parameters The untag_resource function requires two main parameters: resource_arn − The Amazon Resource Name (ARN) of the Glue resource tags_list − List of tag keys to remove ...
Read MoreHow to use Boto3 to get tags from an AWS Glue Resources
In this article, we will see how to get the tags associated with AWS Glue Resources using the boto3 library in Python. Tags help organize and manage AWS resources by assigning key-value pairs for identification and billing purposes. AWS Glue Resource ARN Formats The resource_arn parameter requires a specific format depending on the resource type ? Resource Type ARN Format Catalog arn:aws:glue:region:account-id:catalog Database arn:aws:glue:region:account-id:database/database-name Table arn:aws:glue:region:account-id:table/database-name/table-name Connection arn:aws:glue:region:account-id:connection/connection-name Crawler arn:aws:glue:region:account-id:crawler/crawler-name Job arn:aws:glue:region:account-id:job/job-name Trigger arn:aws:glue:region:account-id:trigger/trigger-name Implementation Steps Follow ...
Read MoreHow to use Boto3 to add tags in AWS Glue Resources
In this article, we will see how to add tags to AWS Glue resources using the Boto3 library in Python. Tags help organize and manage your AWS resources effectively. Problem Statement Use the boto3 library in Python to add tags like "glue-db: test" to AWS Glue resources such as databases, tables, crawlers, and jobs. Understanding AWS Glue Resource ARNs Before adding tags, you need to understand the ARN format for different AWS Glue resources ? Resource Type ARN Format Catalog arn:aws:glue:region:account-id:catalog Database arn:aws:glue:region:account-id:database/database-name Table arn:aws:glue:region:account-id:table/database-name/table-name ...
Read MoreHow to use Boto3 to stop a crawler in AWS Glue Data Catalog
In this article, we will see how a user can stop a crawler present in an AWS Glue Data Catalog using the Boto3 library in Python. Problem Statement Use the boto3 library in Python to stop a running crawler in AWS Glue Data Catalog. Approach to Solve This Problem Step 1: Import boto3 and botocore exceptions to handle exceptions. Step 2: Define a function that takes crawler_name as a parameter. Step 3: Create an AWS session using boto3. Make sure region_name is mentioned in the default ...
Read MoreHow to use Boto3 to stop a workflow in AWS Glue Data Catalog
AWS Glue workflows can be programmatically controlled using the Boto3 library. This article demonstrates how to stop a running workflow in AWS Glue Data Catalog using Python. Prerequisites Before stopping a workflow, ensure you have ? AWS credentials configured (via AWS CLI or environment variables) Boto3 library installed: pip install boto3 Appropriate IAM permissions for AWS Glue operations A running workflow with a valid workflow_name and run_id Method: Using stop_workflow_run() The stop_workflow_run() method requires two mandatory parameters ? Name − The workflow name to stop RunId − The unique identifier of ...
Read MoreHow to use Boto3 to start a workflow in AWS Glue Data Catalog
In this article, we will see how to start a workflow in AWS Glue Data Catalog using the boto3 library. AWS Glue workflows help orchestrate ETL jobs and crawlers in a defined sequence. Problem Statement Use the boto3 library in Python to programmatically start an AWS Glue workflow and handle potential errors during execution. Prerequisites Before running this code, ensure you have: AWS credentials configured (via AWS CLI, environment variables, or IAM roles) boto3 library installed: pip install boto3 An existing workflow in AWS Glue Data Catalog Appropriate IAM permissions for Glue operations ...
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