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[BEAM-7503] Created CoGBK Python Load Test Jenkins job #8969

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Jul 11, 2019
Merged

[BEAM-7503] Created CoGBK Python Load Test Jenkins job #8969

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f8732f5
[BEAM-7503] Added iteration parameter to CoGBK test in Python
kamilwu Jul 1, 2019
39d4f89
[BEAM-7503] Created CoGBK Python Load Test Jenkins job
kamilwu Jul 1, 2019
df04c07
[BEAM-3959] Added a flake F821 test
kamilwu Jul 1, 2019
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167 changes: 167 additions & 0 deletions .test-infra/jenkins/job_LoadTests_coGBK_Python.groovy
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@@ -0,0 +1,167 @@
/*
* 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.
*/

import CommonJobProperties as commonJobProperties
import CommonTestProperties
import LoadTestsBuilder as loadTestsBuilder
import PhraseTriggeringPostCommitBuilder
import CronJobBuilder

def now = new Date().format("MMddHHmmss", TimeZone.getTimeZone('UTC'))

def loadTestConfigurations = { datasetName -> [
[
title : 'CoGroupByKey Python Load test: 2GB of 100B records with a single key',
itClass : 'apache_beam.testing.load_tests.co_group_by_key_test:CoGroupByKeyTest.testCoGroupByKey',
runner : CommonTestProperties.Runner.DATAFLOW,
jobProperties: [
project : 'apache-beam-testing',
job_name : 'load-tests-python-dataflow-batch-cogbk-1-' + now,
temp_location : 'gs://temp-storage-for-perf-tests/loadtests',
publish_to_big_query : true,
metrics_dataset : datasetName,
metrics_table : "python_dataflow_batch_cogbk_1",
input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 1,' +
'"hot_key_fraction": 1}\'',
co_input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 5,' +
'"hot_key_fraction": 1}\'',
iterations : 1,
max_num_workers : 5,
num_workers : 5,
autoscaling_algorithm: 'NONE'
]
],
[
title : 'CoGroupByKey Python Load test: 2GB of 100B records with multiple keys',
itClass : 'apache_beam.testing.load_tests.co_group_by_key_test:CoGroupByKeyTest.testCoGroupByKey',
runner : CommonTestProperties.Runner.DATAFLOW,
jobProperties: [
project : 'apache-beam-testing',
job_name : 'load-tests-python-dataflow-batch-cogbk-2-' + now,
temp_location : 'gs://temp-storage-for-perf-tests/loadtests',
publish_to_big_query : true,
metrics_dataset : datasetName,
metrics_table : 'python_dataflow_batch_cogbk_2',
input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 5,' +
'"hot_key_fraction": 1}\'',
co_input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 5,' +
'"hot_key_fraction": 1}\'',
iterations : 1,
max_num_workers : 5,
num_workers : 5,
autoscaling_algorithm: 'NONE'
]
],
[
title : 'CoGroupByKey Python Load test: reiterate 4 times 10kB values',
itClass : 'apache_beam.testing.load_tests.co_group_by_key_test:CoGroupByKeyTest.testCoGroupByKey',
runner : CommonTestProperties.Runner.DATAFLOW,
jobProperties: [
project : 'apache-beam-testing',
job_name : 'load-tests-python-dataflow-batch-cogbk-3-' + now,
temp_location : 'gs://temp-storage-for-perf-tests/loadtests',
publish_to_big_query : true,
metrics_dataset : datasetName,
metrics_table : "python_dataflow_batch_cogbk_3",
input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 200000,' +
'"hot_key_fraction": 1}\'',
co_input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 5,' +
'"hot_key_fraction": 1}\'',
iterations : 4,
max_num_workers : 5,
num_workers : 5,
autoscaling_algorithm: 'NONE'
]
],
[
title : 'CoGroupByKey Python Load test: reiterate 4 times 2MB values',
itClass : 'apache_beam.testing.load_tests.co_group_by_key_test:CoGroupByKeyTest.testCoGroupByKey',
runner : CommonTestProperties.Runner.DATAFLOW,
jobProperties: [
project : 'apache-beam-testing',
job_name : 'load-tests-python-dataflow-batch-cogbk-4-' + now,
temp_location : 'gs://temp-storage-for-perf-tests/loadtests',
publish_to_big_query : true,
metrics_dataset : datasetName,
metrics_table : 'python_dataflow_batch_cogbk_4',
input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 1000,' +
'"hot_key_fraction": 1}\'',
co_input_options : '\'{' +
'"num_records": 20000000,' +
'"key_size": 10,' +
'"value_size": 90,' +
'"num_hot_keys": 5,' +
'"hot_key_fraction": 1}\'',
iterations : 4,
max_num_workers : 5,
num_workers : 5,
autoscaling_algorithm: 'NONE'
]
],
]}

def batchLoadTestJob = { scope, triggeringContext ->
scope.description('Runs Python CoGBK load tests on Dataflow runner in batch mode')
commonJobProperties.setTopLevelMainJobProperties(scope, 'master', 240)

def datasetName = loadTestsBuilder.getBigQueryDataset('load_test', triggeringContext)
for (testConfiguration in loadTestConfigurations(datasetName)) {
loadTestsBuilder.loadTest(scope, testConfiguration.title, testConfiguration.runner, CommonTestProperties.SDK.PYTHON, testConfiguration.jobProperties, testConfiguration.itClass)
}
}

CronJobBuilder.cronJob('beam_LoadTests_Python_CoGBK_Dataflow_Batch', 'H 16 * * *', this) {
batchLoadTestJob(delegate, CommonTestProperties.TriggeringContext.POST_COMMIT)
}

PhraseTriggeringPostCommitBuilder.postCommitJob(
'beam_LoadTests_Python_CoGBK_Dataflow_Batch',
'Run Load Tests Python CoGBK Dataflow Batch',
'Load Tests Python CoGBK Dataflow Batch suite',
this
) {
batchLoadTestJob(delegate, CommonTestProperties.TriggeringContext.PR)
}
29 changes: 20 additions & 9 deletions sdks/python/apache_beam/testing/load_tests/co_group_by_key_test.py
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Expand Up @@ -26,7 +26,9 @@
* metrics_table (optional) - name of BigQuery table where metrics
will be stored,
* input_options - options for Synthetic Sources,
* co_input_options - options for Synthetic Sources.
* co_input_options - options for Synthetic Sources,
* iterations - number of reiterations over per-key-grouped values to perform
(default: 1).

Example test run on DirectRunner:

Expand All @@ -36,6 +38,7 @@
--publish_to_big_query=true
--metrics_dataset=python_load_tests
--metrics_table=co_gbk
--iterations=1
--input_options='{
\"num_records\": 1000,
\"key_size\": 5,
Expand All @@ -59,6 +62,7 @@
--project=...
--metrics_dataset=python_load_tests
--metrics_table=co_gbk
--iterations=1
--input_options=\'
{"num_records": 1,
"key_size": 1,
Expand Down Expand Up @@ -90,6 +94,7 @@
--publish_to_big_query=true
--metrics_dataset=python_load_tests
--metrics_table=co_gbk
--iterations=1
--input_options='{
\"num_records\": 1000,
\"key_size\": 5,
Expand All @@ -115,6 +120,7 @@
--project=...
--metrics_dataset=python_load_tests
--metrics_table=co_gbk
--iterations=1
--temp_location=gs://...
--input_options=\'
{"num_records": 1,
Expand Down Expand Up @@ -162,16 +168,20 @@ def setUp(self):
super(CoGroupByKeyTest, self).setUp()
self.co_input_options = json.loads(
self.pipeline.get_option('co_input_options'))
self.iterations = self.get_option_or_default('iterations', 1)

class _Ungroup(beam.DoFn):
def process(self, element):
class _UngroupAndReiterate(beam.DoFn):
def process(self, element, iterations):
values = element[1]
inputs = values.get(INPUT_TAG)
co_inputs = values.get(CO_INPUT_TAG)
for i in inputs:
yield i
for i in co_inputs:
yield i
for i in range(iterations):
for value in inputs:
if i == iterations - 1:
yield value
for value in co_inputs:
if i == iterations - 1:
yield value

def testCoGroupByKey(self):
pc1 = (self.pipeline
Expand All @@ -194,8 +204,9 @@ def testCoGroupByKey(self):
)
# pylint: disable=expression-not-assigned
({INPUT_TAG: pc1, CO_INPUT_TAG: pc2}
| 'CoGroupByKey: ' >> beam.CoGroupByKey()
| 'Consume Joined Collections' >> beam.ParDo(self._Ungroup())
| 'CoGroupByKey ' >> beam.CoGroupByKey()
| 'Consume Joined Collections' >> beam.ParDo(self._UngroupAndReiterate(),
self.iterations)
| 'Measure time: End' >> beam.ParDo(MeasureTime(self.metrics_namespace))
)

Expand Down
3 changes: 1 addition & 2 deletions sdks/python/scripts/run_pylint.sh
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Expand Up @@ -74,8 +74,7 @@ pylint -j8 ${MODULE} --ignore-patterns="$FILES_TO_IGNORE"
echo "Running pycodestyle for module $MODULE:"
pycodestyle ${MODULE} --exclude="$FILES_TO_IGNORE"
echo "Running flake8 for module $MODULE:"
# TODO(BEAM-3959): Add F821 (undefined names) as soon as that test passes
flake8 ${MODULE} --count --select=E9,F822,F823 --show-source --statistics
flake8 ${MODULE} --count --select=E9,F821,F822,F823 --show-source --statistics

echo "Running isort for module $MODULE:"
# Skip files where isort is behaving weirdly
Expand Down