Source code for

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from functools import cached_property
from typing import TYPE_CHECKING, Any, Sequence

from airflow.configuration import conf
from airflow.models import BaseOperator
from import GlueDataBrewHook
from import GlueDataBrewJobCompleteTrigger
from import validate_execute_complete_event

    from airflow.utils.context import Context

[docs]class GlueDataBrewStartJobOperator(BaseOperator): """ Start an AWS Glue DataBrew job. AWS Glue DataBrew is a visual data preparation tool that makes it easier for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML). .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GlueDataBrewStartJobOperator` :param job_name: unique job name per AWS Account :param wait_for_completion: Whether to wait for job run completion. (default: True) :param deferrable: If True, the operator will wait asynchronously for the job to complete. This implies waiting for completion. This mode requires aiobotocore module to be installed. (default: False) :param delay: Time in seconds to wait between status checks. Default is 30. :return: dictionary with key run_id and value of the resulting job's run_id. """
[docs] template_fields: Sequence[str] = ( "job_name", "wait_for_completion", "delay", "deferrable", )
def __init__( self, job_name: str, wait_for_completion: bool = True, delay: int = 30, deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False), aws_conn_id: str | None = "aws_default", **kwargs, ): super().__init__(**kwargs) self.job_name = job_name self.wait_for_completion = wait_for_completion self.deferrable = deferrable self.delay = delay self.aws_conn_id = aws_conn_id @cached_property
[docs] def hook(self) -> GlueDataBrewHook: return GlueDataBrewHook(aws_conn_id=self.aws_conn_id)
[docs] def execute(self, context: Context): job = self.hook.conn.start_job_run(Name=self.job_name) run_id = job["RunId"]"AWS Glue DataBrew Job: %s. Run Id: %s submitted.", self.job_name, run_id) if self.deferrable:"Deferring job %s with run_id %s", self.job_name, run_id) self.defer( trigger=GlueDataBrewJobCompleteTrigger( aws_conn_id=self.aws_conn_id, job_name=self.job_name, run_id=run_id, delay=self.delay ), method_name="execute_complete", ) elif self.wait_for_completion: "Waiting for AWS Glue DataBrew Job: %s. Run Id: %s to complete.", self.job_name, run_id ) status = self.hook.job_completion(job_name=self.job_name, delay=self.delay, run_id=run_id)"Glue DataBrew Job: %s status: %s", self.job_name, status) return {"run_id": run_id}
[docs] def execute_complete(self, context: Context, event: dict[str, Any] | None = None) -> dict[str, str]: event = validate_execute_complete_event(event) run_id = event.get("run_id", "") status = event.get("status", "")"AWS Glue DataBrew runID: %s completed with status: %s", run_id, status) return {"run_id": run_id}

Was this entry helpful?