See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/139/display/redirect?page=changes>

Changes:

[zyichi] Minor fixes for python nexmark benchmarks

[Kyle Weaver] [BEAM-11811] [Dataflow Java] Don't allow numWorkers > 
maxNumWorkers.

[Kyle Weaver] Don't create unassigned variable.

[noreply] Move payload providers out into their own module. (#13963)

[noreply] Removed conscrypt from a shaded dataflow-worker jar (#13846)

[noreply] [BEAM-11747] Reject the mixed Java UDF and ZetaSQL builtin operator

[noreply] [BEAM-11589] Migrated release build.gradle file to Kotlin script

[daniel.o.programmer] [BEAM-11415] Fix misc. bugs affecting Go XLang tests.

[noreply] Bump dataflow container version (#13988)

[noreply] [BEAM-11779] Fix dataflow URL printed by Go. (#13997)

[noreply] [BEAM-9615] Register Schemas on Beam Init (#13940)


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Requirement already satisfied: execnet>=1.1 in 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages>
 (from pytest-xdist<2,>=1.29.0->apache-beam==2.29.0.dev0) (1.8.0)
Requirement already satisfied: apipkg>=1.4 in 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages>
 (from execnet>=1.1->pytest-xdist<2,>=1.29.0->apache-beam==2.29.0.dev0) (1.5)
Requirement already satisfied: chardet<5,>=3.0.2 in 
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Requirement already satisfied: idna<3,>=2.5 in 
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Requirement already satisfied: oauthlib>=3.0.0 in 
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 (from 
requests-oauthlib>=0.5.0->msrest>=0.6.18->azure-storage-blob>=12.3.2->apache-beam==2.29.0.dev0)
 (3.1.0)
Requirement already satisfied: wrapt in 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages>
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<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages>
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Requirement already satisfied: deprecation in 
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 (from docker->testcontainers<4.0.0,>=3.0.3->apache-beam==2.29.0.dev0) (0.57.0)
DEPRECATION: Source distribution is being reinstalled despite an installed 
package having the same name and version as the installed package. pip 21.1 
will remove support for this functionality. A possible replacement is use 
--force-reinstall. You can find discussion regarding this at 
https://github.com/pypa/pip/issues/8711.
Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (setup.py): started
  Building wheel for apache-beam (setup.py): finished with status 'done'
  Created wheel for apache-beam: 
filename=apache_beam-2.29.0.dev0-py3-none-any.whl size=2416156 
sha256=061ea5ab7c3978a138490868f2d608d02734f5c905e448d3e42a91393317a64f
  Stored in directory: 
/home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: apache-beam
  Attempting uninstall: apache-beam
    Found existing installation: apache-beam 2.29.0.dev0
    Uninstalling apache-beam-2.29.0.dev0:
      Successfully uninstalled apache-beam-2.29.0.dev0
Successfully installed apache-beam-2.29.0.dev0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100000 out of 10000000 total elements in each window will be accessed.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz";>
 to staging location.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.7 interpreter.
INFO:root:Default Python SDK image for environment is 
apache/beam_python3.7_sdk:2.29.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210216
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210216" for Docker 
environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the 
temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-3-0217100415.1613562366.628452/pipeline.pb...
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-3-0217100415.1613562366.628452/pipeline.pb
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-3-0217100415.1613562366.628452/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-3-0217100415.1613562366.628452/dataflow_python_sdk.tar
 in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--side_input_type=iter', '--access_percentage=1']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--side_input_type=iter', '--access_percentage=1']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-02-17T11:46:09.562637Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-02-17_03_46_07-6093632357784431966'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-batch-sideinput-3-0217100415'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-02-17T11:46:09.562637Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-02-17_03_46_07-6093632357784431966]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-02-17_03_46_07-6093632357784431966
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-02-17_03_46_07-6093632357784431966?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-02-17_03_46_07-6093632357784431966 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:14.668Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.277Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.409Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.490Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.527Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.568Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.597Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.649Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.681Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/FlatMap(<lambda at 
core.py:2957>) into Side input: create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.720Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/AddRandomKeys into Side input: 
create/FlatMap(<lambda at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.746Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Side 
input: create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.780Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.809Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.846Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into 
Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.903Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) 
into Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.938Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: 
create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:15.971Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/Map(decode) into Side 
input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.006Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Side 
input: create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.041Z: 
JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate 
input_20/PairWithRestriction into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.074Z: 
JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate 
input_20/SplitWithSizing into ref_AppliedPTransform_Generate 
input_20/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.109Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2957>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.145Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/FlatMap(<lambda at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.177Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into 
Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.207Z: 
JOB_MESSAGE_DETAILED: Fusing consumer ParDo(SequenceSideInputTestDoFn) into 
Collect start time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.236Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into 
ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.270Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.310Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.344Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.381Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.560Z: 
JOB_MESSAGE_DEBUG: Executing wait step start21
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.613Z: 
JOB_MESSAGE_BASIC: Executing operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.678Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:16.723Z: 
JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:17.187Z: 
JOB_MESSAGE_BASIC: Finished operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:17.253Z: 
JOB_MESSAGE_DEBUG: Value "Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" 
materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:17.333Z: 
JOB_MESSAGE_BASIC: Executing operation Side input: create/Impulse+Side input: 
create/FlatMap(<lambda at core.py:2957>)+Side input: 
create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-02-17_03_46_07-6093632357784431966 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:30.116Z: 
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric 
descriptors, so new user metrics of the form custom.googleapis.com/* will not 
be created. However, all user metrics are also available in the metric 
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, 
you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:46:58.805Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on 
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:47:18.308Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:47:18.342Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:08.915Z: 
JOB_MESSAGE_BASIC: Finished operation Side input: create/Impulse+Side input: 
create/FlatMap(<lambda at core.py:2957>)+Side input: 
create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side 
input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:09.022Z: 
JOB_MESSAGE_BASIC: Executing operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:09.709Z: 
JOB_MESSAGE_BASIC: Finished operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:09.789Z: 
JOB_MESSAGE_BASIC: Executing operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side 
input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side
 input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: 
create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate 
input_20/PairWithRestriction+ref_AppliedPTransform_Generate 
input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:24.576Z: 
JOB_MESSAGE_BASIC: Finished operation Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side 
input: 
create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side
 input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: 
create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate 
input_20/PairWithRestriction+ref_AppliedPTransform_Generate 
input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:24.695Z: 
JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate 
input_20-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:52:24.755Z: 
JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate 
input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.544Z: 
JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate 
input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.608Z: 
JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.679Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(SequenceSideInputTestDoFn)/View-python_side_input0-ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.741Z: 
JOB_MESSAGE_BASIC: Finished operation 
ParDo(SequenceSideInputTestDoFn)/View-python_side_input0-ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.809Z: 
JOB_MESSAGE_DEBUG: Value 
"ParDo(SequenceSideInputTestDoFn)/View-python_side_input0-ParDo(SequenceSideInputTestDoFn).out"
 materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:54:05.893Z: 
JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at 
core.py:2957>)+Create/Map(decode)+Collect start time 
metrics+ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:55:09.939Z: 
JOB_MESSAGE_ERROR: SDK harness sdk-0-0 disconnected.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:56:07.205Z: 
JOB_MESSAGE_ERROR: SDK harness sdk-0-0 disconnected.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:57:09.099Z: 
JOB_MESSAGE_ERROR: SDK harness sdk-0-0 disconnected.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:09.131Z: 
JOB_MESSAGE_ERROR: SDK harness sdk-0-0 disconnected.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:10.727Z: 
JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at 
core.py:2957>)+Create/Map(decode)+Collect start time 
metrics+ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:10.791Z: 
JOB_MESSAGE_DEBUG: Executing failure step failure20
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:10.841Z: 
JOB_MESSAGE_ERROR: Workflow failed. Causes: 
S07:Create/Impulse+Create/FlatMap(<lambda at 
core.py:2957>)+Create/Map(decode)+Collect start time 
metrics+ParDo(SequenceSideInputTestDoFn)+Collect end time metrics failed., The 
job failed because a work item has failed 4 times. Look in previous log entries 
for the cause of each one of the 4 failures. For more information, see 
https://cloud.google.com/dataflow/docs/guides/common-errors. The work item was 
attempted on these ****s: 
  load-tests-python-dataflo-02170346-yq5v-harness-mm0d
      Root cause: SDK harness sdk-0-0 disconnected.,
  load-tests-python-dataflo-02170346-yq5v-harness-28t1
      Root cause: SDK harness sdk-0-0 disconnected.,
  load-tests-python-dataflo-02170346-yq5v-harness-fqtb
      Root cause: SDK harness sdk-0-0 disconnected.,
  load-tests-python-dataflo-02170346-yq5v-harness-6bsl
      Root cause: SDK harness sdk-0-0 disconnected.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:10.961Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:11.027Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:58:11.051Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:59:18.948Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:59:18.998Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-02-17T11:59:19.040Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-02-17_03_46_07-6093632357784431966 is in state JOB_STATE_FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py";,>
 line 219, in <module>
    SideInputTest().run()
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
 line 153, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 1682, in wait_until_finish
    self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow 
pipeline failed. State: FAILED, Error:
SDK harness sdk-0-0 disconnected.

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
 line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug 
option to get more log output. Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/6.8/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 14m 11s
5 actionable tasks: 2 executed, 3 up-to-date
Gradle was unable to watch the file system for changes. The inotify watches 
limit is too low.

Publishing build scan...
https://gradle.com/s/2vyoz2fi22nlc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure


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