airflow.providers.amazon.aws.hooks.glue¶
Module Contents¶
-
class
airflow.providers.amazon.aws.hooks.glue.AwsGlueJobHook(s3_bucket: Optional[str] = None, job_name: Optional[str] = None, desc: Optional[str] = None, concurrent_run_limit: int = 1, script_location: Optional[str] = None, retry_limit: int = 0, num_of_dpus: int = 10, region_name: Optional[str] = None, iam_role_name: Optional[str] = None, *args, **kwargs)[source]¶ Bases:
airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHookInteract with AWS Glue - create job, trigger, crawler
- Parameters
s3_bucket (Optional[str]) -- S3 bucket where logs and local etl script will be uploaded
job_name (Optional[str]) -- unique job name per AWS account
desc (Optional[str]) -- job description
concurrent_run_limit (int) -- The maximum number of concurrent runs allowed for a job
script_location (Optional[str]) -- path to etl script on s3
retry_limit (int) -- Maximum number of times to retry this job if it fails
num_of_dpus (int) -- Number of AWS Glue DPUs to allocate to this Job
region_name (Optional[str]) -- aws region name (example: us-east-1)
iam_role_name (Optional[str]) -- AWS IAM Role for Glue Job
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initialize_job(self, script_arguments: Optional[dict] = None)[source]¶ Initializes connection with AWS Glue to run job :return:
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get_job_state(self, job_name: str, run_id: str)[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 :type job_name: str :param run_id: The job-run ID of the predecessor job run :type run_id: str :return: State of the Glue job
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job_completion(self, job_name: str, run_id: str)[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 :type job_name: str :param run_id: The job-run ID of the predecessor job run :type run_id: str :return: Dict of JobRunState and JobRunId