ashb commented on a change in pull request #6090: [AIRFLOW-5470] Add Apache Livy REST operator URL: https://github.com/apache/airflow/pull/6090#discussion_r334399646
########## File path: airflow/contrib/operators/livy_operator.py ########## @@ -0,0 +1,178 @@ +# -*- coding: utf-8 -*- +# +# 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 +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +""" +This module contains the Apache Livy operator. +""" + +from time import sleep + +from airflow.contrib.hooks.livy_hook import BatchState, LivyHook +from airflow.exceptions import AirflowException +from airflow.models import BaseOperator +from airflow.utils.decorators import apply_defaults + + +class LivyOperator(BaseOperator): + """ + This operator wraps the Apache Livy batch REST API, allowing to submit a Spark + application to the underlying cluster. + + :param file: path of the file containing the application to execute (required). + :type file: str + :param class_name: name of the application Java/Spark main class. + :type class_name: str + :param args: application command line arguments. + :type args: list + :param jars: jars to be used in this sessions. + :type jars: list + :param py_files: python files to be used in this session. + :type py_files: list + :param files: files to be used in this session. + :type files: list + :param driver_memory: amount of memory to use for the driver process. + :type driver_memory: str + :param driver_cores: number of cores to use for the driver process. + :type driver_cores: str + :param executor_memory: amount of memory to use per executor process. + :type executor_memory: str + :param executor_cores: number of cores to use for each executor. + :type executor_cores: str + :param num_executors: number of executors to launch for this session. + :type num_executors: str + :param archives: archives to be used in this session. + :type archives: list + :param queue: name of the YARN queue to which the application is submitted. + :type queue: str + :param name: name of this session. + :type name: str + :param conf: Spark configuration properties. + :type conf: dict + :param proxy_user: user to impersonate when running the job. + :type proxy_user: str + :param livy_conn_id: reference to a pre-defined Livy Connection. + :type livy_conn_id: str + :param polling_interval: time in seconds between polling for job completion. Don't poll for values >=0 + :type polling_interval: int + :param timeout: when greater than zero, seconds to wait for a terminal state before killing the batch. + :type timeout: int + """ + + @apply_defaults + def __init__( + self, + file=None, + class_name=None, + args=None, + conf=None, + jars=None, + py_files=None, + files=None, + driver_memory=None, + driver_cores=None, + executor_memory=None, + executor_cores=None, + num_executors=None, + archives=None, + queue=None, + name=None, + proxy_user=None, + livy_conn_id='livy_default', + polling_interval=0, + **kwargs + ): + # pylint: disable-msg=too-many-arguments + + super(LivyOperator, self).__init__(**kwargs) + + self._spark_params = { + 'file': file, + 'class_name': class_name, + 'args': args, + 'jars': jars, + 'py_files': py_files, + 'files': files, + 'driver_memory': driver_memory, + 'driver_cores': driver_cores, + 'executor_memory': executor_memory, + 'executor_cores': executor_cores, + 'num_executors': num_executors, + 'archives': archives, + 'queue': queue, + 'name': name, + 'conf': conf, + 'proxy_user': proxy_user + } + + self._livy_conn_id = livy_conn_id + self._polling_interval = polling_interval + + self._livy_hook = None + self._batch_id = None + + def get_hook(self): + """ + Get valid hook. + + :return: hook + :rtype: LivyHook + """ + if self._livy_hook and isinstance(self._livy_hook, LivyHook): + self.log.info("livy_conn_id is ignored when Livy hook is already provided") + return self._livy_hook + + return LivyHook(livy_conn_id=self._livy_conn_id) + + def execute(self, context): + self._livy_hook = self.get_hook() + + self._batch_id = self._livy_hook.post_batch(**self._spark_params) + + if self._polling_interval > 0: + self.poll_for_termination(self._batch_id) + + return self._batch_id + + def poll_for_termination(self, batch_id): + """ + Pool Livy for batch termination. + + :param batch_id: id of the batch session to monitor. + :type batch_id: int + """ + state = self._livy_hook.get_batch_state(batch_id) + while state not in self._livy_hook.TERMINAL_STATES: + self.log.debug('Batch with id %s is in state: %s', batch_id, state.value) + sleep(self._polling_interval) + state = self._livy_hook.get_batch_state(batch_id) + self.log.info("Batch with id %s terminated with state: %s", batch_id, state.value) + if state != BatchState.SUCCESS: + raise AirflowException("Batch did not succeed") + + def on_kill(self): + self.kill() + + def kill(self): + """ + Delete the current batch session. + """ + if self._batch_id is not None: + self._livy_hook.delete_batch(self._batch_id) + else: + raise AirflowException("Missing batch session id") Review comment: I don't think we should raise here -- it probably just means the kill happened before the execute got a chance to do anything. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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