Problem Statement − Use boto3 library in Python to retrieve the metrics of a specified crawler.Example − Retrieve the metrics of a specified crawler, crawler_for_s3_file_job.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − crawler_names is the mandatory parameter. It is a list so user can send one or many crawler names at a time to fetch metrics.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an ... Read More
Problem Statement − Use boto3 library in Python to get the details of a crawler.Example − Get the details of a crawler, crawler_for_s3_file_job.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − crawler_name is the mandatory parameter. It is a string so user can send only one crawler name at a time to fetch details.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an AWS client for ... Read More
Problem Statement − Use boto3 library in Python to get details of all connection present in AWS Glue Data catalog.Example − Get the details of all connection definition.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − There is no parameter.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an AWS client for glue.Step 5 − Call get_connections function.Step 6 − It will fetch details of the connection ... Read More
Problem Statement − Use boto3 library in Python to get details of a connection present in AWS Glue Data catalog.Example − Get the details of a connection definition, ‘aurora-test’.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − Pass the parameter connection_name whose definition needs to check.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an AWS client for glue.Step 5 − Call get_connection function and pass ... Read More
Problem Statement − Use boto3 library in Python to check whether a bucket does not exist using waiter functionality. For example, use waiters to check whether Bucket_2 does not exist in S3.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − Use bucket_name as the parameter in the function.Step 3 − Create an AWS session using boto3 library.Step 4 − Create an AWS client for S3.Step 5 − Now create the wait object for bucket_not_exists using get_waiter function.Step 6 − Now, use the wait object to validate whether the bucket does not exist. By default, ... Read More
When a user wants to use wait functionality to validate whether a key in a bucket exists or not in programming code.Problem Statement − Use boto3 library in Python to check whether a key exists in a bucket, using waiters functionality. For example, use waiters to check whether a key test.zip exists in Bucket_1.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − bucket_name and key are two parameters in function.Step 3 − Create an AWS session using boto3 library.Step 4 − Create an AWS client for S3.Step 5 − Now create the ... Read More
Problem Statement − Use boto3 library in Python to run a glue job. For example, run the job run_s3_file_job.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − job_name is the mandatory parameters while arguments is the optional parameter in function. Few jobs take arguments to run. In that case, arguments can be passed as dict.For example: arguments = {‘arguments1’ = ‘value1’, ‘arguments2’ = ‘value2’}If the job doesn’t take argument, then just pass the job_name.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If ... Read More
Problem Statement − Use boto3 library in Python to delete a database, created in your account.Example − Delete a database ‘Portfolio’ that is created in your account.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − Pass the parameter database_name that should be deleted from AWS Glue Catalog.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an AWS client for glue.Step 5 − Now use delete_database function ... Read More
Problem Statement − Use boto3 library in Python to delete a glue job, created in your account.Example − Delete a glue job ‘transfer_from_s3’ that is created in your account.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − Pass the parameter job_name that should be deleted from AWS Glue Catalog.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an AWS client for glue.Step 5 − Now use ... Read More
When a user wants to delete a workflow from AWS Data catalog.Example − Delete a workflow ‘test’ from your account.Problem Statement − Use boto3 library in Python to delete a workflow that is available in your account.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − Pass the parameter workflow_name that should be deleted from AWS Glue Catalog.Step 3 − Create an AWS session using boto3 library. Make sure region_name is mentioned in default profile. If it is not mentioned, then explicitly pass the region_name while creating the session.Step 4 − Create an ... Read More
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