airflow.providers.amazon.aws.hooks.glue

Module Contents

Classes

GlueJobHook

Interact with AWS Glue - create job, trigger, crawler

Attributes

DEFAULT_LOG_SUFFIX

FAILURE_LOG_SUFFIX

DEFAULT_LOG_FILTER

FAILURE_LOG_FILTER

airflow.providers.amazon.aws.hooks.glue.DEFAULT_LOG_SUFFIX = output[source]
airflow.providers.amazon.aws.hooks.glue.FAILURE_LOG_SUFFIX = error[source]
airflow.providers.amazon.aws.hooks.glue.DEFAULT_LOG_FILTER =[source]
airflow.providers.amazon.aws.hooks.glue.FAILURE_LOG_FILTER = ?ERROR ?Exception[source]
class airflow.providers.amazon.aws.hooks.glue.GlueJobHook(s3_bucket=None, job_name=None, desc=None, concurrent_run_limit=1, script_location=None, retry_limit=0, num_of_dpus=None, iam_role_name=None, create_job_kwargs=None, *args, **kwargs)[source]

Bases: airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook

Interact with AWS Glue - create job, trigger, crawler

Parameters

  • s3_bucket (str | None) – S3 bucket where logs and local etl script will be uploaded

  • job_name (str | None) – unique job name per AWS account

  • desc (str | None) – job description

  • concurrent_run_limit (int) – The maximum number of concurrent runs allowed for a job

  • script_location (str | None) – path to etl script on s3

  • retry_limit (int) – Maximum number of times to retry this job if it fails

  • num_of_dpus (int | None) – Number of AWS Glue DPUs to allocate to this Job

  • region_name – aws region name (example: us-east-1)

  • iam_role_name (str | None) – AWS IAM Role for Glue Job Execution

  • create_job_kwargs (dict | None) – Extra arguments for Glue Job Creation

JOB_POLL_INTERVAL = 6[source]
list_jobs()[source]
Returns

Lists of Jobs

Return type

list

get_iam_execution_role()[source]
Returns

iam role for job execution

Return type

dict

initialize_job(script_arguments=None, run_kwargs=None)[source]

Initializes connection with AWS Glue to run job :return:

get_job_state(job_name, run_id)[source]

Get state of the Glue job. The job state can be running, finished, failed, stopped or timeout. :param job_name: unique job name per AWS account :param run_id: The job-run ID of the predecessor job run :return: State of the Glue job

print_job_logs(job_name, run_id, job_failed=False, next_token=None)[source]

Prints the batch of logs to the Airflow task log and returns nextToken.

job_completion(job_name, run_id, verbose=False)[source]

Waits until Glue job with job_name completes or fails and return final state if finished. Raises AirflowException when the job failed :param job_name: unique job name per AWS account :param run_id: The job-run ID of the predecessor job run :param verbose: If True, more Glue Job Run logs show in the Airflow Task Logs. (default: False) :return: Dict of JobRunState and JobRunId

get_or_create_glue_job()[source]

Creates(or just returns) and returns the Job name :return:Name of the Job

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