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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/10/21 17:24:20 UTC
Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #1241
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1241/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (pyproject.toml): started
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Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16207526 sha256=0eb79306e4c91a82b50f09e86b6c218854dae5e8fa66cbff02a6ba804df3d121
Stored in directory: /home/jenkins/.cache/pip/wheels/47/00/08/fa1d77c43fd620f57d427d9fecd25ffa086ffb7def32e8cc14
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.68 botocore-1.31.68 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.4 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.3 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.35.0 google-cloud-bigquery-3.12.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.12.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.0 grpc-google-iam-v1-0.12.6 grpcio-1.59.0 grpcio-status-1.59.0 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.1 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.9 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.1 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.1 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.concurrent.TimeoutException: Waited 3 minutes (plus 346437 nanoseconds delay) for SettableFuture@177a59ae[status=PENDING]
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
ParDoTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 575, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1021155251_c505321b-d7ae-4108-94fb-f20ce48fa04b failed in state FAILED: java.util.concurrent.TimeoutException: Waited 3 minutes (plus 346437 nanoseconds delay) for SettableFuture@177a59ae[status=PENDING]
> 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_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* 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.
> Get more help at https://help.gradle.org.
Deprecated Gradle features were used in this build, making it incompatible with Gradle 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 11m 26s
9 actionable tasks: 8 executed, 1 from cache
Publishing build scan...
https://ge.apache.org/s/vujsi77lgni5g
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Jenkins build is back to normal : beam_LoadTests_Python_ParDo_Flink_Streaming #1246
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #1245
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1245/display/redirect>
Changes:
------------------------------------------
Started by timer
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on apache-beam-jenkins-13 (beam) in workspace <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/>
The recommended git tool is: NONE
No credentials specified
Wiping out workspace first.
Cloning the remote Git repository
Using shallow clone with depth 1
Avoid fetching tags
Cloning repository https://github.com/apache/beam.git
> git init <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src> # timeout=10
Fetching upstream changes from https://github.com/apache/beam.git
> git --version # timeout=10
> git --version # 'git version 2.25.1'
> git fetch --no-tags --force --progress --depth=1 -- https://github.com/apache/beam.git +refs/heads/*:refs/remotes/origin/* # timeout=10
> git config remote.origin.url https://github.com/apache/beam.git # timeout=10
> git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
> git config remote.origin.url https://github.com/apache/beam.git # timeout=10
Using shallow fetch with depth 1
Fetching upstream changes from https://github.com/apache/beam.git
> git fetch --no-tags --force --progress --depth=1 -- https://github.com/apache/beam.git +refs/heads/*:refs/remotes/origin/* +refs/pull/${ghprbPullId}/*:refs/remotes/origin/pr/${ghprbPullId}/* # timeout=10
> git rev-parse origin/master^{commit} # timeout=10
Checking out Revision d6b34679e7ee5b12c652dcbc7daee1d95c9e1ff5 (origin/master)
> git config core.sparsecheckout # timeout=10
> git checkout -f d6b34679e7ee5b12c652dcbc7daee1d95c9e1ff5 # timeout=10
Commit message: "IgnoreExitValue for dataflow runner cleanUpDockerJavaImages (#29124)"
> git rev-list --no-walk bc06581e11085d02a52356681226ee8caac5a825 # timeout=10
First time build. Skipping changelog.
No emails were triggered.
[EnvInject] - Executing scripts and injecting environment variables after the SCM step.
[EnvInject] - Injecting as environment variables the properties content
SETUPTOOLS_USE_DISTUTILS=stdlib
SPARK_LOCAL_IP=127.0.0.1
[EnvInject] - Variables injected successfully.
[EnvInject] - Injecting environment variables from a build step.
[EnvInject] - Injecting as environment variables the properties content
CLUSTER_NAME=beam-loadtests-python-pardo-flink-streaming-1245
FLINK_NUM_WORKERS=5
DETACHED_MODE=true
JOB_SERVER_IMAGE=gcr.io/apache-beam-testing/beam_portability/beam_flink1.15_job_server:latest
GCS_BUCKET=gs://beam-flink-cluster
HARNESS_IMAGES_TO_PULL=gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
HADOOP_DOWNLOAD_URL=https://repo.maven.apache.org/maven2/org/apache/flink/flink-shaded-hadoop-2-uber/2.8.3-10.0/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar
GCLOUD_ZONE=us-central1-a
FLINK_TASKMANAGER_SLOTS=1
FLINK_DOWNLOAD_URL=https://archive.apache.org/dist/flink/flink-1.15.0/flink-1.15.0-bin-scala_2.12.tgz
ARTIFACTS_DIR=gs://beam-flink-cluster/beam-loadtests-python-pardo-flink-streaming-1245
[EnvInject] - Variables injected successfully.
[beam_LoadTests_Python_ParDo_Flink_Streaming] $ /bin/bash -xe /tmp/jenkins214223479896212659.sh
+ echo Setting up flink cluster
Setting up flink cluster
[beam_LoadTests_Python_ParDo_Flink_Streaming] $ /bin/bash -xe /tmp/jenkins5049563532330288816.sh
+ cd <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/.test-infra/dataproc>
+ ./flink_cluster.sh create
+ GCLOUD_ZONE=us-central1-a
+ DATAPROC_VERSION=2.1-debian
++ echo us-central1-a
++ sed -E 's/(-[a-z])?$//'
+ GCLOUD_REGION=us-central1
+ MASTER_NAME=beam-loadtests-python-pardo-flink-streaming-1245-m
+ INIT_ACTIONS_FOLDER_NAME=init-actions
+ FLINK_INIT=gs://beam-flink-cluster/init-actions/flink.sh
+ BEAM_INIT=gs://beam-flink-cluster/init-actions/beam.sh
+ DOCKER_INIT=gs://beam-flink-cluster/init-actions/docker.sh
+ FLINK_LOCAL_PORT=8081
+ FLINK_TASKMANAGER_SLOTS=1
+ YARN_APPLICATION_MASTER=
+ create
+ upload_init_actions
+ echo 'Uploading initialization actions to GCS bucket: gs://beam-flink-cluster'
Uploading initialization actions to GCS bucket: gs://beam-flink-cluster
+ gsutil cp -r init-actions/beam.sh init-actions/docker.sh init-actions/flink.sh gs://beam-flink-cluster/init-actions
Copying file://init-actions/beam.sh [Content-Type=text/x-sh]...
/ [0 files][ 0.0 B/ 2.3 KiB] / [1 files][ 2.3 KiB/ 2.3 KiB] Copying file://init-actions/docker.sh [Content-Type=text/x-sh]...
/ [1 files][ 2.3 KiB/ 6.0 KiB] / [2 files][ 6.0 KiB/ 6.0 KiB] Copying file://init-actions/flink.sh [Content-Type=text/x-sh]...
/ [2 files][ 6.0 KiB/ 13.5 KiB] / [3 files][ 13.5 KiB/ 13.5 KiB] -
Operation completed over 3 objects/13.5 KiB.
+ create_cluster
+ local metadata=flink-snapshot-url=https://archive.apache.org/dist/flink/flink-1.15.0/flink-1.15.0-bin-scala_2.12.tgz,
+ metadata+=flink-start-yarn-session=true,
+ metadata+=flink-taskmanager-slots=1,
+ metadata+=hadoop-jar-url=https://repo.maven.apache.org/maven2/org/apache/flink/flink-shaded-hadoop-2-uber/2.8.3-10.0/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar
+ [[ -n gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest ]]
+ metadata+=,beam-sdk-harness-images-to-pull=gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
+ [[ -n gcr.io/apache-beam-testing/beam_portability/beam_flink1.15_job_server:latest ]]
+ metadata+=,beam-job-server-image=gcr.io/apache-beam-testing/beam_portability/beam_flink1.15_job_server:latest
+ local image_version=2.1-debian
+ echo 'Starting dataproc cluster. Dataproc version: 2.1-debian'
Starting dataproc cluster. Dataproc version: 2.1-debian
+ gcloud dataproc clusters create beam-loadtests-python-pardo-flink-streaming-1245 --region=us-central1 --num-****s=5 --master-machine-type=n1-standard-2 --****-machine-type=n1-standard-2 --metadata flink-snapshot-url=https://archive.apache.org/dist/flink/flink-1.15.0/flink-1.15.0-bin-scala_2.12.tgz,flink-start-yarn-session=true,flink-taskmanager-slots=1,hadoop-jar-url=https://repo.maven.apache.org/maven2/org/apache/flink/flink-shaded-hadoop-2-uber/2.8.3-10.0/flink-shaded-hadoop-2-uber-2.8.3-10.0.jar,beam-sdk-harness-images-to-pull=gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest,beam-job-server-image=gcr.io/apache-beam-testing/beam_portability/beam_flink1.15_job_server:latest, --image-version=2.1-debian --zone=us-central1-a --optional-components=FLINK,DOCKER --quiet
ERROR: (gcloud.dataproc.clusters.create) INVALID_ARGUMENT: Insufficient 'DISKS_TOTAL_GB' quota. Requested 6000.0, available 3643.0.
Build step 'Execute shell' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #1244
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1244/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
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Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16207673 sha256=03f11bbcc8fc960d2bdc79fecec0bc498a1a4c1b164abef826c076942dbb1030
Stored in directory: /home/jenkins/.cache/pip/wheels/47/00/08/fa1d77c43fd620f57d427d9fecd25ffa086ffb7def32e8cc14
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.69 botocore-1.31.69 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.5 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.4 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.3 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.35.0 google-cloud-bigquery-3.12.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.12.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.0 grpc-google-iam-v1-0.12.6 grpcio-1.59.0 grpcio-status-1.59.0 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.1 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.9 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.1.0 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.2 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.2 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.concurrent.TimeoutException: Waited 3 minutes (plus 397526 nanoseconds delay) for SettableFuture@38018953[status=PENDING]
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
ParDoTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 575, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1024155253_2e4837ad-c41d-44ac-b130-eaae4eb259e2 failed in state FAILED: java.util.concurrent.TimeoutException: Waited 3 minutes (plus 397526 nanoseconds delay) for SettableFuture@38018953[status=PENDING]
> 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_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* 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.
> Get more help at https://help.gradle.org.
Deprecated Gradle features were used in this build, making it incompatible with Gradle 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 11m 26s
9 actionable tasks: 8 executed, 1 from cache
Publishing build scan...
https://ge.apache.org/s/adohdxm6n5ve4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.concurrent.TimeoutException: Waited 3 minutes (plus 280792 nanoseconds delay) for SettableFuture@7d4ea36[status=PENDING]
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
ParDoTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 575, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1023155254_902ce086-6575-4e09-8a2d-79100039e230 failed in state FAILED: java.util.concurrent.TimeoutException: Waited 3 minutes (plus 280792 nanoseconds delay) for SettableFuture@7d4ea36[status=PENDING]
> 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_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* 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.
> Get more help at https://help.gradle.org.
Deprecated Gradle features were used in this build, making it incompatible with Gradle 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 11m 4s
9 actionable tasks: 8 executed, 1 from cache
Publishing build scan...
https://ge.apache.org/s/q7czkvrilw5na
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #1242
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1242/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (pyproject.toml): started
Building wheel for apache-beam (pyproject.toml): still running...
Building wheel for apache-beam (pyproject.toml): still running...
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Building wheel for apache-beam (pyproject.toml): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16207495 sha256=7f3e19ee13fb9283ef5e2c60ed1ec43b8bc1a31f2aba44a1c250d40678e886f3
Stored in directory: /home/jenkins/.cache/pip/wheels/47/00/08/fa1d77c43fd620f57d427d9fecd25ffa086ffb7def32e8cc14
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.68 botocore-1.31.68 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.4 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.3 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.35.0 google-cloud-bigquery-3.12.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.12.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.0 grpc-google-iam-v1-0.12.6 grpcio-1.59.0 grpcio-status-1.59.0 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.1 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.9 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.1.0 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.1 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.1 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.concurrent.TimeoutException: Waited 3 minutes (plus 11004376 nanoseconds delay) for SettableFuture@15e63e7c[status=PENDING]
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
ParDoTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 575, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1022155249_1d11bc13-a7da-4d35-8503-cca7fcf94404 failed in state FAILED: java.util.concurrent.TimeoutException: Waited 3 minutes (plus 11004376 nanoseconds delay) for SettableFuture@15e63e7c[status=PENDING]
> 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_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* 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.
> Get more help at https://help.gradle.org.
Deprecated Gradle features were used in this build, making it incompatible with Gradle 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 11m 24s
9 actionable tasks: 8 executed, 1 from cache
Publishing build scan...
https://ge.apache.org/s/xackbck4kgtmk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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