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https://issues.apache.org/jira/browse/BEAM-8258?focusedWorklogId=474038&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-474038
]
ASF GitHub Bot logged work on BEAM-8258:
----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Aug/20 20:32
Start Date: 24/Aug/20 20:32
Worklog Time Spent: 10m
Work Description: y1chi commented on a change in pull request #12674:
URL: https://github.com/apache/beam/pull/12674#discussion_r475871022
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/monitor.py
##########
@@ -0,0 +1,48 @@
+#
+# 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
+
+from time import time
+
+import apache_beam as beam
+from apache_beam.metrics import Metrics
+from apache_beam.testing.benchmarks.nexmark.nexmark_util import MonitorSuffix
+
+
+class Monitor(object):
Review comment:
Add a documentation on the parameters and the monitored metrics.
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/nexmark_util.py
##########
@@ -192,6 +194,11 @@ def expand(self, pcoll):
| "Log" >> beam.Map(log_count_info))
+class MonitorSuffix:
Review comment:
can we put this into Monitor class
##########
File path: sdks/python/apache_beam/testing/benchmarks/nexmark/nexmark_util.py
##########
@@ -221,5 +228,34 @@ def unnest_to_json(cand):
def millis_to_timestamp(millis):
+ # type: (int) -> Timestamp
micro_second = millis * 1000
return Timestamp(micros=micro_second)
+
+
+def get_counter_metric(result, namespace, name):
+ # type: (PipelineResult, str, str) -> int
+ metrics = result.metrics().query(
+ MetricsFilter().with_namespace(namespace).with_name(name))
+ counters = metrics['counters']
+ if len(counters) > 1:
+ raise ValueError(
Review comment:
ValueError is normally used to say the function argument being passed is
invalid, I think we can use RuntimeError instead.
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Issue Time Tracking
-------------------
Worklog Id: (was: 474038)
Time Spent: 3.5h (was: 3h 20m)
> Implement Nexmark (benchmark suite) in Python and integrate it with Spark and
> Flink runners
> -------------------------------------------------------------------------------------------
>
> Key: BEAM-8258
> URL: https://issues.apache.org/jira/browse/BEAM-8258
> Project: Beam
> Issue Type: Bug
> Components: testing-nexmark
> Reporter: Ismaël Mejía
> Priority: P3
> Labels: gsoc, gsoc2020, mentor
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> Apache Beam [1] is a unified and portable programming model for data
> processing jobs (pipelines). The Beam model [2, 3, 4] has rich mechanisms to
> process endless streams of events.
> Nexmark [5] is a benchmark for streaming jobs, basically a set of jobs
> (queries) to test different use cases of the execution system. Beam
> implemented Nexmark for Java [6, 7] and it has been succesfully used to
> improve the features of multiple Beam runners and discover performance
> regressions.
> Thanks to the work on portability [8] we can now run Beam pipelines on top of
> open source systems like Apache Spark [9] and Apache Flink [10]. The goal of
> this issue/project is to implement the Nexmark queries on Python and
> configure them to run on our CI on top of open source systems like Apache
> Spark and Apache Flink. The goal is that it helps the project to track and
> improve the evolution of portable open source runners and our python
> implementation as we do for Java.
> Because of the time constraints of GSoC we will adjust the goals (sub-tasks)
> depending on progress.
> [1] https://beam.apache.org/
> [2] https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101
> [3] https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102
> [4]
> https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43864.pdf
> [5]
> https://web.archive.org/web/20100620010601/http://datalab.cs.pdx.edu/niagaraST/NEXMark/
> [6] https://beam.apache.org/documentation/sdks/java/testing/nexmark/
> [7] https://github.com/apache/beam/tree/master/sdks/java/testing/nexmark
> [8] https://beam.apache.org/roadmap/portability/
> [9] https://spark.apache.org/
> [10] https://flink.apache.org/
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