| # |
| # 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. |
| # |
| |
| from __future__ import absolute_import |
| |
| import atexit |
| import os |
| import shutil |
| import signal |
| import subprocess |
| import sys |
| import tempfile |
| import threading |
| |
| import grpc |
| |
| from apache_beam.portability.api import beam_job_api_pb2_grpc |
| from apache_beam.runners.portability import local_job_service |
| from apache_beam.utils import subprocess_server |
| from apache_beam.version import __version__ as beam_version |
| |
| |
| class JobServer(object): |
| def start(self): |
| """Starts this JobServer, returning a grpc service to which to submit jobs. |
| """ |
| raise NotImplementedError(type(self)) |
| |
| def stop(self): |
| """Stops this job server.""" |
| raise NotImplementedError(type(self)) |
| |
| |
| class ExternalJobServer(JobServer): |
| def __init__(self, endpoint, timeout=None): |
| self._endpoint = endpoint |
| self._timeout = timeout |
| |
| def start(self): |
| channel = grpc.insecure_channel(self._endpoint) |
| grpc.channel_ready_future(channel).result(timeout=self._timeout) |
| return beam_job_api_pb2_grpc.JobServiceStub(channel) |
| |
| def stop(self): |
| pass |
| |
| |
| class EmbeddedJobServer(JobServer): |
| def start(self): |
| return local_job_service.LocalJobServicer() |
| |
| def stop(self): |
| pass |
| |
| |
| class StopOnExitJobServer(JobServer): |
| """Wraps a JobServer such that its stop will automatically be called on exit. |
| """ |
| def __init__(self, job_server): |
| self._lock = threading.Lock() |
| self._job_server = job_server |
| self._started = False |
| |
| def start(self): |
| with self._lock: |
| if not self._started: |
| self._endpoint = self._job_server.start() |
| self._started = True |
| atexit.register(self.stop) |
| signal.signal(signal.SIGINT, self.stop) |
| return self._endpoint |
| |
| def stop(self): |
| with self._lock: |
| if self._started: |
| self._job_server.stop() |
| self._started = False |
| |
| |
| class SubprocessJobServer(JobServer): |
| """An abstract base class for JobServers run as an external process.""" |
| def __init__(self): |
| self._local_temp_root = None |
| self._server = None |
| |
| def subprocess_cmd_and_endpoint(self): |
| raise NotImplementedError(type(self)) |
| |
| def start(self): |
| if self._server is None: |
| self._local_temp_root = tempfile.mkdtemp(prefix='beam-temp') |
| cmd, endpoint = self.subprocess_cmd_and_endpoint() |
| port = int(endpoint.split(':')[-1]) |
| self._server = subprocess_server.SubprocessServer( |
| beam_job_api_pb2_grpc.JobServiceStub, cmd, port=port) |
| return self._server.start() |
| |
| def stop(self): |
| if self._local_temp_root: |
| shutil.rmtree(self._local_temp_root) |
| self._local_temp_root = None |
| return self._server.stop() |
| |
| def local_temp_dir(self, **kwargs): |
| return tempfile.mkdtemp(dir=self._local_temp_root, **kwargs) |
| |
| |
| class JavaJarJobServer(SubprocessJobServer): |
| |
| MAVEN_REPOSITORY = 'https://repo.maven.apache.org/maven2/org/apache/beam' |
| JAR_CACHE = os.path.expanduser("~/.apache_beam/cache") |
| |
| def java_arguments(self, job_port, artifacts_dir): |
| raise NotImplementedError(type(self)) |
| |
| def path_to_jar(self): |
| raise NotImplementedError(type(self)) |
| |
| @staticmethod |
| def path_to_beam_jar(gradle_target): |
| return subprocess_server.JavaJarServer.path_to_beam_jar(gradle_target) |
| |
| @staticmethod |
| def local_jar(url): |
| return subprocess_server.JavaJarServer.local_jar(url) |
| |
| def subprocess_cmd_and_endpoint(self): |
| jar_path = self.local_jar(self.path_to_jar()) |
| artifacts_dir = self.local_temp_dir(prefix='artifacts') |
| job_port, = subprocess_server.pick_port(None) |
| return ( |
| ['java', '-jar', jar_path] + list( |
| self.java_arguments(job_port, artifacts_dir)), |
| 'localhost:%s' % job_port) |
| |
| |
| class DockerizedJobServer(SubprocessJobServer): |
| """ |
| Spins up the JobServer in a docker container for local execution. |
| """ |
| |
| def __init__(self, job_host="localhost", |
| job_port=None, |
| artifact_port=None, |
| expansion_port=None, |
| harness_port_range=(8100, 8200), |
| max_connection_retries=5): |
| super(DockerizedJobServer, self).__init__() |
| self.job_host = job_host |
| self.job_port = job_port |
| self.expansion_port = expansion_port |
| self.artifact_port = artifact_port |
| self.harness_port_range = harness_port_range |
| self.max_connection_retries = max_connection_retries |
| |
| def subprocess_cmd_and_endpoint(self): |
| # TODO This is hardcoded to Flink at the moment but should be changed |
| job_server_image_name = os.environ['USER'] + \ |
| "-docker-apache.bintray.io/beam/flink-job-server:latest" |
| docker_path = subprocess.check_output( |
| ['which', 'docker']).strip().decode('utf-8') |
| cmd = ["docker", "run", |
| # We mount the docker binary and socket to be able to spin up |
| # "sibling" containers for the SDK harness. |
| "-v", ':'.join([docker_path, "/bin/docker"]), |
| "-v", "/var/run/docker.sock:/var/run/docker.sock"] |
| |
| self.job_port, self.artifact_port, self.expansion_port = ( |
| subprocess_server.pick_port( |
| self.job_port, self.artifact_port, self.expansion_port)) |
| |
| args = ['--job-host', self.job_host, |
| '--job-port', str(self.job_port), |
| '--artifact-port', str(self.artifact_port), |
| '--expansion-port', str(self.expansion_port)] |
| |
| if sys.platform == "darwin": |
| # Docker-for-Mac doesn't support host networking, so we need to explictly |
| # publish ports from the Docker container to be able to connect to it. |
| # Also, all other containers need to be aware that they run Docker-on-Mac |
| # to connect against the internal Docker-for-Mac address. |
| cmd += ["-e", "DOCKER_MAC_CONTAINER=1"] |
| cmd += ["-p", "{}:{}".format(self.job_port, self.job_port)] |
| cmd += ["-p", "{}:{}".format(self.artifact_port, self.artifact_port)] |
| cmd += ["-p", "{}:{}".format(self.expansion_port, self.expansion_port)] |
| cmd += ["-p", "{0}-{1}:{0}-{1}".format( |
| self.harness_port_range[0], self.harness_port_range[1])] |
| else: |
| # This shouldn't be set for MacOS because it detroys port forwardings, |
| # even though host networking is not supported on MacOS. |
| cmd.append("--network=host") |
| |
| cmd.append(job_server_image_name) |
| |
| return cmd + args, '%s:%s' % (self.job_host, self.job_port) |