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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/11/12 15:05:08 UTC
Build failed in Jenkins: beam_PerformanceTests_SpannerIO_Read_2GB_Python #564
See <https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Read_2GB_Python/564/display/redirect?page=changes>
Changes:
[noreply] Bump cloud.google.com/go/bigtable from 1.17.0 to 1.18.0 in /sdks
[noreply] disable (#24121)
[noreply] Implement PubsubRowToMessage transform (#23897)
[noreply] upgrade testcontainer dependency (#24123)
[noreply] More cleanup containers (#24105)
[noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24112)
[noreply] Bump google.golang.org/api from 0.102.0 to 0.103.0 in /sdks (#24049)
[noreply] Update staging of Python wheels (#24114)
[noreply] Add a ValidatesContainer integration test for use_sibling_sdk_workers
[noreply] Fix checkArgument format string in TestStream (#24134)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Created wheel for apache-beam: filename=apache_beam-2.44.0.dev0-py3-none-any.whl size=2921157 sha256=d1cb3824b4b08b31c73fdb4f74e32ba7b404a3f9490c7179205ddd53f38e1084
Stored in directory: /home/jenkins/.cache/pip/wheels/0d/0f/d0/902edbcac0ea16cf54e7115af3a18da2c337098bba5f873cd6
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.8 botocore-1.29.8 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.6 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.44 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0
> Task :sdks:python:apache_beam:testing:load_tests:run
<https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Read_2GB_Python/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_read_perf_test.py>:140: FutureWarning: WriteToSpanner is experimental. No backwards-compatibility guarantees.
max_batch_size_bytes=5120))
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Read_2GB_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f6a0fed2dd0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f6a0fed15f0> ====================
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/performance-tests-spanner-read-python-2gb1112125608.1668265364.840037/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-spanner-read-python-2gb1112125608.1668265364.840037/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/performance-tests-spanner-read-python-2gb1112125608.1668265364.840037/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-spanner-read-python-2gb1112125608.1668265364.840037/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221112150244841016-3518'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-11-12_07_02_45-4328428614559150603]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-11-12_07_02_45-4328428614559150603
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-west1/2022-11-12_07_02_45-4328428614559150603?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-12_07_02_45-4328428614559150603 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:45.822Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:48.921Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-west1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.070Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.100Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.161Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.196Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.224Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.265Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.304Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Write-to-Spanner-make-batches-Merging-batchable-and-unbatchable_15 for input ref_AppliedPTransform_Write-to-Spanner-make-batches-Filtering-Batchable-Mutations-ParDo-_BatchableFi_13.unbatchable
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.339Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of Write to Spanner/Writing to spanner, through flatten Write to Spanner/make batches/Merging batchable and unbatchable, into producer Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.372Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/Writing to spanner into Write to Spanner/make batches/ParDo(_BatchFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.409Z: JOB_MESSAGE_DETAILED: Fusing consumer Produce rows/Map(<lambda at iobase.py:908>) into Produce rows/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.442Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Produce rows/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.469Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.503Z: JOB_MESSAGE_DETAILED: Fusing consumer Format into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.528Z: JOB_MESSAGE_DETAILED: Fusing consumer Make mutations into Format
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.557Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Making mutation groups into Make mutations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.592Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn) into Write to Spanner/make batches/Making mutation groups
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/ParDo(_BatchFn) into Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.661Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.690Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.729Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.764Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.912Z: JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-12_07_02_45-4328428614559150603 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.981Z: JOB_MESSAGE_BASIC: Executing operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:52.029Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:52.063Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-west1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:03:04.974Z: 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:2022-11-12T15:03:34.351Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:04:06.105Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=45c84e83-e82d-4b9e-993f-0c62f65f99bf, currentDir=<https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Read_2GB_Python/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 1673455
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-1673455.out.log
----- Last 20 lines from daemon log file - daemon-1673455.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.469Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.503Z: JOB_MESSAGE_DETAILED: Fusing consumer Format into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.528Z: JOB_MESSAGE_DETAILED: Fusing consumer Make mutations into Format
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.557Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Making mutation groups into Make mutations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.592Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn) into Write to Spanner/make batches/Making mutation groups
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/ParDo(_BatchFn) into Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.661Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.690Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.729Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.764Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.912Z: JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-12_07_02_45-4328428614559150603 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:51.981Z: JOB_MESSAGE_BASIC: Executing operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:52.029Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:02:52.063Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-west1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:03:04.974Z: 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:2022-11-12T15:03:34.351Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:04:06.105Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
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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