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https://issues.apache.org/jira/browse/BEAM-2855?focusedWorklogId=114989&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-114989
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ASF GitHub Bot logged work on BEAM-2855:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Jun/18 01:39
Start Date: 23/Jun/18 01:39
Worklog Time Spent: 10m
Work Description: aaltay commented on a change in pull request #5738:
[BEAM-2855] Add Python Nexmark suite
URL: https://github.com/apache/beam/pull/5738#discussion_r197597575
##########
File path:
sdks/python/apache_beam/testing/benchmarks/nexmark/nexmark_launcher.py
##########
@@ -0,0 +1,199 @@
+#
+# 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.
+#
+
+"""Nexmark launcher.
+
+The Nexmark suite is a series of queries (streaming pipelines) performed
+on a simulation of auction events. The launcher orchestrates the generation
+and parsing of streaming events and the running of queries.
+
+Model
+- Person: Author of an auction or a bid.
+- Auction: Item under auction.
+- Bid: A bid for an item under auction.
+
+Events
+ - Create Person
+ - Create Auction
+ - Create Bid
+
+Queries
+- Query0: Pass through (send and receive auction events).
+
+Usage
+- DirectRunner
+python nexmark_launcher.py \
+ --query/q <query number> \
+ --project <project id> \
+ --streaming \
+
+- DataflowRunner
+python nexmark_launcher.py \
+ --query/q <query number> \
+ --project <project id> \
+ --streaming \
+ --sdk_location <apache_beam tar.gz> \
+ --staging_location=gs://... \
+ --temp_location=gs://
+
+"""
+from __future__ import print_function
+
+import argparse
+import logging
+import sys
+
+import apache_beam as beam
+from apache_beam.options.pipeline_options import GoogleCloudOptions
+from apache_beam.options.pipeline_options import PipelineOptions
+from apache_beam.options.pipeline_options import SetupOptions
+from apache_beam.options.pipeline_options import StandardOptions
+from apache_beam.options.pipeline_options import TestOptions
+
+from nexmark_util import Command
+from queries import query0
+
+logging.basicConfig(level=logging.INFO,
+ format='(%(threadName)-10s) %(message)s')
+
+# Reserved configuration to run these benchmark suite.
+PUBSUB_PROJECT = 'google.com:clouddfe'
Review comment:
Please do not hardcode project name here. You can do this in the place where
these tests will be executed. (Similar to:
https://github.com/apache/beam/blob/master/sdks/python/scripts/run_postcommit.sh)
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Issue Time Tracking
-------------------
Worklog Id: (was: 114989)
Time Spent: 50m (was: 40m)
> Implement a python version of the nexmark queries
> -------------------------------------------------
>
> Key: BEAM-2855
> URL: https://issues.apache.org/jira/browse/BEAM-2855
> Project: Beam
> Issue Type: Improvement
> Components: examples-nexmark, sdk-py-core, testing
> Reporter: Ismaël Mejía
> Assignee: María GH
> Priority: Minor
> Labels: newbie, nexmark, starter
> Time Spent: 50m
> Remaining Estimate: 0h
>
> Currently we have a Java only implementation of Nexmark, a python based
> implementation would be nice to have to validate the direct and dataflow
> runners, but also to validate the new support of multiple SDKs in multiple
> runners via the runner/fn API.
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