See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/374/display/redirect?page=changes>

Changes:

[ilya.kozyrev] Add java executor to compile java code in created file system

[zyichi] Use daemon thread to report lull operation and move code to

[noreply] Merge pull request #15722 from [BEAM-13022] [Playground] Run code on 
the

[Luke Cwik] [BEAM-12640] Skip checkerframework on generated code/test libraries 
for

[Luke Cwik] [BEAM-13015] Add tiny bundle processing benchmark for Java SDK 
harness.

[noreply] [BEAM-12922] Test MapState putIfAbsent with no read (#15704)

[Robert Bradshaw] [BEAM-13053] Avoid runner v2 when streaming engine explicitly 
disabled.

[noreply] [Go SDK] Small typo fixes. (#15725)

[noreply] [BEAM-13038] Migrate to use a context object within

[noreply] [BEAM-12135] Avoid windowing overhead in Spark global GBK. (#15637)

[noreply] [BEAM-12907] Run DataFrame API tests with multiple pandas versions

[vachan] Remove unnecessary ERROR logging.


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Requirement already satisfied: wrapt in 
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Requirement already satisfied: cffi>=1.12 in 
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cryptography>=2.1.4->azure-storage-blob>=12.3.2->apache-beam==2.35.0.dev0) 
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google-api-core[grpc]<3.0.0dev,>=1.29.0->google-cloud-bigquery<3,>=1.6.0->apache-beam==2.35.0.dev0)
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libcst>=0.2.5->google-cloud-bigquery-storage>=2.6.3->apache-beam==2.35.0.dev0) 
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 (from 
typing-inspect>=0.4.0->libcst>=0.2.5->google-cloud-bigquery-storage>=2.6.3->apache-beam==2.35.0.dev0)
 (0.4.3)
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-2.35.0.dev0-py3-none-any.whl size=2575941 
sha256=97613219784e4929e4dc336767a392035f496670f8fca8cab6726793977d2233
  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 2.35.0.dev0
    Uninstalling apache-beam-2.35.0.dev0:
      Successfully uninstalled apache-beam-2.35.0.dev0
Successfully installed apache-beam-2.35.0.dev0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:990 out of 1000 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:2.35.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20211011
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20211011" for Docker 
environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function pack_combiners at 0x7f1676e62e18> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function sort_stages at 0x7f1676e63620> ====================
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-8-1015100402.1634307101.330794/dataflow_python_sdk.tar...
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-8-1015100402.1634307101.330794/dataflow_python_sdk.tar
 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-8-1015100402.1634307101.330794/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-8-1015100402.1634307101.330794/pipeline.pb
 in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['shuffle_mode=appliance', '--side_input_type=dict', '--access_percentage=99', 
'--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['shuffle_mode=appliance', '--side_input_type=dict', '--access_percentage=99', 
'--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20211015141141331795-3080'
 createTime: '2021-10-15T14:11:42.360429Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-10-15_07_11_41-2338310864242498199'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-batch-sideinput-8-1015100402'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-10-15T14:11:42.360429Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-10-15_07_11_41-2338310864242498199]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-10-15_07_11_41-2338310864242498199
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-10-15_07_11_41-2338310864242498199?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-10-15_07_11_41-2338310864242498199 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:46.310Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.021Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.055Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.073Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.110Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.148Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.176Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply 
windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.210Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply 
windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.243Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.282Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.304Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF 
options
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.327Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into 
ParDo(MappingSideInputTestDoFn)/ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.351Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.372Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.397Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.431Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.564Z: 
JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.631Z: 
JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply 
windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.669Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.697Z: 
JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-10-15_07_11_41-2338310864242498199 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:08.619Z: 
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:2021-10-15T14:12:36.625Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 9 based on the 
rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:36.648Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 9, though goal was 10.  This could 
be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:46.974Z: 
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:2021-10-15T14:12:59.380Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:59.410Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.470Z: 
JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply 
windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.522Z: 
JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.553Z: 
JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.605Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.652Z: 
JOB_MESSAGE_BASIC: Finished operation 
ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.709Z: 
JOB_MESSAGE_DEBUG: Value 
"ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate 
input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.773Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(MappingSideInputTestDoFn)/ParDo(MappingSideInputTestDoFn)+Collect end 
time metrics
Terminated

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=dd409103-55ba-478f-8ac9-49eafb0c4fc1, 
currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 26671
  log file: /home/jenkins/.gradle/daemon/6.9.1/daemon-26671.out.log
----- Last  20 lines from daemon log file - daemon-26671.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.564Z: 
JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.631Z: 
JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply 
windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.669Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:11:47.697Z: 
JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-10-15_07_11_41-2338310864242498199 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:08.619Z: 
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:2021-10-15T14:12:36.625Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 9 based on the 
rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:36.648Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 9, though goal was 10.  This could 
be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:46.974Z: 
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:2021-10-15T14:12:59.380Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:12:59.410Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.470Z: 
JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply 
windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.522Z: 
JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.553Z: 
JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.605Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.652Z: 
JOB_MESSAGE_BASIC: Finished operation 
ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.709Z: 
JOB_MESSAGE_DEBUG: Value 
"ParDo(MappingSideInputTestDoFn)/_UnpickledSideInput(Generate 
input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-10-15T14:17:26.773Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(MappingSideInputTestDoFn)/ParDo(MappingSideInputTestDoFn)+Collect end 
time metrics
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated 
in response to a user interrupt.
----- End of the daemon log -----


FAILURE: Build failed with an exception.

* What went wrong:
Gradle build daemon disappeared unexpectedly (it may have been killed or may 
have crashed)

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


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