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https://issues.apache.org/jira/browse/BEAM-5993?focusedWorklogId=172475&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-172475
]
ASF GitHub Bot logged work on BEAM-5993:
----------------------------------------
Author: ASF GitHub Bot
Created on: 05/Dec/18 20:59
Start Date: 05/Dec/18 20:59
Worklog Time Spent: 10m
Work Description: pabloem commented on a change in pull request #7020:
BEAM-5993 Create SideInput Load test
URL: https://github.com/apache/beam/pull/7020#discussion_r239234878
##########
File path: sdks/python/apache_beam/testing/load_tests/sideinput_test.py
##########
@@ -0,0 +1,158 @@
+#
+# 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.
+#
+"""
+To run test on DirectRunner
+
+python setup.py nosetests \
+ --test-pipeline-options="
+ --number_of_counter_operations=1000
+ --input_options='{
+ \"num_records\": 300,
+ \"key_size\": 5,
+ \"value_size\":15,
+ \"bundle_size_distribution_type\": \"const\",
+ \"bundle_size_distribution_param\": 1,
+ \"force_initial_num_bundles\": 0
+ }'
+ " \
+ --tests apache_beam.testing.load_tests.sideinput_test
+
+To run test on other runner (ex. Dataflow):
+
+python setup.py nosetests \
+ --test-pipeline-options="
+ --runner=TestDataflowRunner
+ --project=...
+ --staging_location=gs://...
+ --temp_location=gs://...
+ --sdk_location=./dist/apache-beam-x.x.x.dev0.tar.gz
+ --number_of_counter_operations=1000
+ --input_options='{
+ \"num_records\": 1,
+ \"key_size\": 1,
+ \"value_size\":1,
+ \"bundle_size_distribution_type\": \"const\",
+ \"bundle_size_distribution_param\": 1,
+ \"force_initial_num_bundles\": 0
+ }'
+ " \
+ --tests apache_beam.testing.load_tests.sideinput_test
+
+"""
+
+from __future__ import absolute_import
+
+import json
+import logging
+import unittest
+
+import apache_beam as beam
+from apache_beam.pvalue import AsIter
+from apache_beam.testing import synthetic_pipeline
+from apache_beam.testing.load_tests.load_test_metrics_utils import MeasureTime
+from apache_beam.testing.test_pipeline import TestPipeline
+
+
+class SideInputTest(unittest.TestCase):
+ def _parseTestPipelineOptions(self):
+ return {
+ 'numRecords': self.inputOptions.get('num_records'),
+ 'keySizeBytes': self.inputOptions.get('key_size'),
+ 'valueSizeBytes': self.inputOptions.get('value_size'),
+ 'bundleSizeDistribution': {
+ 'type': self.inputOptions.get(
+ 'bundle_size_distribution_type', 'const'
+ ),
+ 'param': self.inputOptions.get('bundle_size_distribution_param', 0)
+ },
+ 'forceNumInitialBundles': self.inputOptions.get(
+ 'force_initial_num_bundles', 0
+ )
+ }
+
+ def _getSideInput(self):
+ side_input = self._parseTestPipelineOptions()
+ side_input['numRecords'] = side_input['numRecords']
+ side_input['keySizeBytes'] = side_input['keySizeBytes']
+ side_input['valueSizeBytes'] = side_input['valueSizeBytes']
+ return side_input
+
+ def _getPerElementDelaySec(self):
+ return self.syntheticStepOptions.get('per_element_delay_sec', 0)
+
+ def _getPerBundleDelaySec(self):
+ return self.syntheticStepOptions.get('per_bundle_delay_sec', 0)
+
+ def _getOutputRecordsPerInputRecords(self):
+ return self.syntheticStepOptions.get('output_records_per_input_records', 0)
+
+ def setUp(self):
+ self.pipeline = TestPipeline()
+ self.inputOptions = json.loads(self.pipeline.get_option('input_options'))
+ self.iterations = self.pipeline.get_option('number_of_counter_operations')
+ if self.iterations is None:
+ self.iterations = 1
+
+ class Consume(beam.DoFn):
+ def process(self, element, *args, **kwargs):
+ values_list = []
+ for i in element:
+ for _, value in i.iteritems():
+ values_list.append(value)
+ yield values_list
+
+ def testSideInput(self):
+ def join_fn(element, side_input, iterations):
+ list = []
+ for i in range(iterations):
+ for key, value in side_input:
+ if i == iterations - 1:
+ list.append({key: element[1]+value})
+ yield list
+
+ with self.pipeline as p:
+ main_input = (p
+ | "Read pcoll 1" >> beam.io.Read(
+ synthetic_pipeline.SyntheticSource(
+ self._parseTestPipelineOptions()))
+ )
+
+ side_input = (p
+ | "Read pcoll 2" >> beam.io.Read(
+ synthetic_pipeline.SyntheticSource(
+ self._getSideInput()))
+ )
+ # pylint: disable=expression-not-assigned
+ (main_input
+ | "Merge" >> beam.ParDo(
Review comment:
By iterating through the side input in `"Merge"`, you will consume it, and
no longer need to iterate through it in `"Consume"` - so it may be fine if you
just drop the `Consume` transform. Other than that, I think this must be fine :
)
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Issue Time Tracking
-------------------
Worklog Id: (was: 172475)
Time Spent: 40m (was: 0.5h)
> Create SideInput Load test
> --------------------------
>
> Key: BEAM-5993
> URL: https://issues.apache.org/jira/browse/BEAM-5993
> Project: Beam
> Issue Type: Sub-task
> Components: testing
> Reporter: Kasia Kucharczyk
> Assignee: Kasia Kucharczyk
> Priority: Major
> Time Spent: 40m
> Remaining Estimate: 0h
>
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