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https://issues.apache.org/jira/browse/BEAM-8891?focusedWorklogId=362820&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-362820
]
ASF GitHub Bot logged work on BEAM-8891:
----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Dec/19 00:28
Start Date: 24/Dec/19 00:28
Worklog Time Spent: 10m
Work Description: ibzib commented on pull request #10403: [BEAM-8891]
Spark uber jar job server
URL: https://github.com/apache/beam/pull/10403#discussion_r361032469
##########
File path:
sdks/python/apache_beam/runners/portability/spark_uber_jar_job_server.py
##########
@@ -0,0 +1,318 @@
+#
+# 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.
+#
+
+"""A job server submitting portable pipelines as uber jars to Spark."""
+
+from __future__ import absolute_import
+from __future__ import print_function
+
+import itertools
+import json
+import logging
+import shutil
+import tempfile
+import time
+import zipfile
+from concurrent import futures
+
+import grpc
+import requests
+from google.protobuf import json_format
+
+from apache_beam.options import pipeline_options
+from apache_beam.portability.api import beam_artifact_api_pb2_grpc
+from apache_beam.portability.api import beam_job_api_pb2
+from apache_beam.portability.api import endpoints_pb2
+from apache_beam.runners.portability import abstract_job_service
+from apache_beam.runners.portability import artifact_service
+from apache_beam.runners.portability import job_server
+from apache_beam.utils.timestamp import Timestamp
+
+_LOGGER = logging.getLogger(__name__)
+
+
+class SparkUberJarJobServer(abstract_job_service.AbstractJobServiceServicer):
+ """A Job server which submits a self-contained Jar to a Spark cluster.
+
+ The jar contains the Beam pipeline definition, dependencies, and
+ the pipeline artifacts.
+ """
+
+ def __init__(self, master_url, options):
+ super(SparkUberJarJobServer, self).__init__()
+ self._master_url = master_url
+ self._executable_jar =
(options.view_as(pipeline_options.SparkRunnerOptions)
+ .spark_job_server_jar)
+ self._artifact_port = (options.view_as(pipeline_options.JobServerOptions)
+ .artifact_port)
+ self._temp_dir = tempfile.mkdtemp(prefix='apache-beam-spark')
+
+ def start(self):
+ return self
+
+ def stop(self):
+ pass
+
+ def executable_jar(self):
+ url = (self._executable_jar or
+ job_server.JavaJarJobServer.path_to_beam_jar(
+ 'runners:spark:job-server:shadowJar'))
+ return job_server.JavaJarJobServer.local_jar(url)
+
+ def create_beam_job(self, job_id, job_name, pipeline, options):
+ return SparkBeamJob(
+ self._master_url,
+ self.executable_jar(),
+ job_id,
+ job_name,
+ pipeline,
+ options,
+ artifact_port=self._artifact_port)
+
+
+class SparkBeamJob(abstract_job_service.AbstractBeamJob):
+ """Runs a single Beam job on Spark by staging all contents into a Jar
+ and uploading it via the Spark Rest API.
+
+ Note that the Spark Rest API is not enabled by default. It must be enabled by
+ setting the configuration property spark.master.rest.enabled to true."""
+
+ # These must agree with those defined in PortablePipelineJarUtils.java.
+ PIPELINE_FOLDER = 'BEAM-PIPELINE'
+ PIPELINE_MANIFEST = PIPELINE_FOLDER + '/pipeline-manifest.json'
+
+ # We only stage a single pipeline in the jar.
+ PIPELINE_NAME = 'pipeline'
+ PIPELINE_PATH = '/'.join(
+ [PIPELINE_FOLDER, PIPELINE_NAME, "pipeline.json"])
+ PIPELINE_OPTIONS_PATH = '/'.join(
+ [PIPELINE_FOLDER, PIPELINE_NAME, 'pipeline-options.json'])
+ ARTIFACT_MANIFEST_PATH = '/'.join(
+ [PIPELINE_FOLDER, PIPELINE_NAME, 'artifact-manifest.json'])
+ ARTIFACT_FOLDER = '/'.join([PIPELINE_FOLDER, PIPELINE_NAME, 'artifacts'])
Review comment:
Done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 362820)
Time Spent: 20m (was: 10m)
> Create and submit Spark portable jar in Python
> ----------------------------------------------
>
> Key: BEAM-8891
> URL: https://issues.apache.org/jira/browse/BEAM-8891
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Kyle Weaver
> Assignee: Kyle Weaver
> Priority: Major
> Labels: portability-spark
> Time Spent: 20m
> Remaining Estimate: 0h
>
> Similar to FlinkUberJarJobServer:
> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/portability/flink_uber_jar_job_server.py
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