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Example − Retrieve the details of bookmarked job ‘book-job’ in AWS Glue Data Catalog.Problem Statement − Use boto3 library in Python to retrieve the details of a bookmarked job in AWS Glue Data Catalog.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − bookmarked_job_name is the mandatory parameter. It should have job_name that is already bookmarked, otherwise it will throw EntityNotFoundException.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 ... Read More
Problem Statement − Use boto3 library in Python to retrieve the definition of all the databases.Example − Retrieve the definition of all the databases.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 − Now use get_databases function.Step 6 − It returns the definition of all databases present in ... Read More
Problem Statement − Use boto3 library in Python to retrieve the security configuration/encryption settings of a catalog.Example − Retrieve the security configuration/encryption settings of a catalog.Approach/Algorithm to solve this problemStep 1 − Import boto3 and botocore exceptions to handle exceptions.Step 2 − catalog_id is the optional parameter. If it is not provided, it takes the detail of user’s AWS account.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 ... Read More
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