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Hlo,
Using the Boto3 get_job and update_job functions is the standard way to update a Glue job's default arguments programmatically. However, if you're looking for a more streamlined approach or automation, you can consider using AWS Step Functions or AWS EventBridge to trigger a Lambda function whenever a specific event occurs (such as a CloudWatch Events rule for Glue job state changes). ** Set Up CloudWatch Events Rule: **Create a CloudWatch Events rule that triggers when a Glue job state changes. For example, you might want to trigger the rule when the job starts or completes.
**Trigger Lambda Function: **Configure the CloudWatch Events rule to invoke a Lambda function when triggered. This Lambda function will contain the logic to update the Glue job's default arguments.
Lambda Function Logic: In the Lambda function, use Boto3 to get the Glue job details using get_job, modify the default arguments as needed, and update the job using update_job.
Error Handling: Implement error handling in the Lambda function to handle any potential issues, such as invalid input or failed API calls. Testing and Monitoring: Test the setup to ensure it works as expected and monitor CloudWatch Logs for any errors or unexpected behavior.
import boto3
glue_client = boto3.client('glue')
def lambda_handler(event, context):
job_name = event['detail']['jobName']
# Retrieve current job configuration
response = glue_client.get_job(JobName=job_name)
job_details = response['Job']
# Modify default arguments as needed
job_details['DefaultArguments']['new_argument'] = 'new_value'
# Update the job with the modified configuration
glue_client.update_job(JobName=job_name, JobUpdate=job_details)
return {
'statusCode': 200,
'body': 'Default argument updated successfully'
}
Using the Boto3 get_job and update_job functions is the standard way to update a Glue job's default arguments programmatically. However, if you're looking for a more streamlined approach or automation, you can consider using AWS Step Functions or AWS EventBridge to trigger a Lambda function whenever a specific event occurs (such as a CloudWatch Events rule for Glue job state changes).
Here's a basic outline of how you can achieve this:
Set Up CloudWatch Events Rule: Create a CloudWatch Events rule that triggers when a Glue job state changes. For example, you might want to trigger the rule when the job starts or completes. Trigger Lambda Function: Configure the CloudWatch Events rule to invoke a Lambda function when triggered. This Lambda function will contain the logic to update the Glue job's default arguments. Lambda Function Logic: In the Lambda function, use Boto3 to get the Glue job details using get_job, modify the default arguments as needed, and update the job using update_job. Error Handling: Implement error handling in the Lambda function to handle any potential issues, such as invalid input or failed API calls. Testing and Monitoring: Test the setup to ensure it works as expected and monitor CloudWatch Logs for any errors or unexpected behavior. Here's a simplified example of what the Lambda function code might look like:
python Copy code import boto3
glue_client = boto3.client('glue')
def lambda_handler(event, context): job_name = event['detail']['jobName']
# Retrieve current job configuration
response = glue_client.get_job(JobName=job_name)
job_details = response['Job']
# Modify default arguments as needed
job_details['DefaultArguments']['new_argument'] = 'new_value'
# Update the job with the modified configuration
glue_client.update_job(JobName=job_name, JobUpdate=job_details)
return {
'statusCode': 200,
'body': 'Default argument updated successfully'
}
This Lambda function would be triggered whenever the CloudWatch Events rule detects a Glue job state change. It then retrieves the job details, modifies the default arguments, and updates the job configuration accordingly