See
<https://ci-beam.apache.org/job/beam_PostCommit_Python36/2849/display/redirect?page=changes>
Changes:
[rehmanmuradali0] Adding key in Spark
[kmjung] Update BigQuery storage API source to v1
[kmjung] Make stream progress reporting work with v1 API
[kmjung] Clean up some leftovers
[kmjung] Address code review feedback
[noreply] Dataframe set_index is not index preserving (#12676)
------------------------------------------
[...truncated 21.60 MB...]
{
"@type": "kind:pair",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:stream",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_stream_like": true
}
],
"is_pair_like": true
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "out",
"user_name": "CoGroupByKey/GroupByKey.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "s21"
},
"serialized_fn":
"%0A%8C%11%22%40%0A%1Dref_Coder_GlobalWindowCoder_1%12%1F%0A%1D%0A%1Bbeam%3Acoder%3Aglobal_window%3Av1%2A%C7%10%0A%25ref_Environment_default_environment_1%12%9D%10%12%12beam%3Aenv%3Adocker%3Av1%1A%3D%0A%3Bgcr.io/cloud-dataflow/v1beta3/python36%3Abeam-master-20200630%2A%13beam%3Acoder%3Abytes%3Av1%2A%19beam%3Acoder%3Astring_utf8%3Av1%2A%10beam%3Acoder%3Akv%3Av1%2A%12beam%3Acoder%3Abool%3Av1%2A%14beam%3Acoder%3Avarint%3Av1%2A%14beam%3Acoder%3Adouble%3Av1%2A%16beam%3Acoder%3Aiterable%3Av1%2A%13beam%3Acoder%3Atimer%3Av1%2A%1Dbeam%3Acoder%3Ainterval_window%3Av1%2A%1Bbeam%3Acoder%3Alength_prefix%3Av1%2A%1Bbeam%3Acoder%3Aglobal_window%3Av1%2A%1Cbeam%3Acoder%3Awindowed_value%3Av1%2A%22beam%3Acoder%3Aparam_windowed_value%3Av1%2A%23beam%3Acoder%3Astate_backed_iterable%3Av1%2A%11beam%3Acoder%3Arow%3Av1%2A%23beam%3Aprotocol%3Aprogress_reporting%3Av0%2A%1Ebeam%3Aprotocol%3Aworker_status%3Av1%2A%3Abeam%3Aversion%3Asdk_base%3Aapache/beam_python3.6_sdk%3A2.25.0.dev2q%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%1D%0A%1Bpostcommit_requirements.txt%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10requirements.txt2%9B%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%3D%0A%3B/tmp/dataflow-requirements-cache/parameterized-0.7.4.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%1C%0A%1Aparameterized-0.7.4.tar.gz2%89%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%124%0A2/tmp/dataflow-requirements-cache/mock-2.0.0.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%13%0A%11mock-2.0.0.tar.gz2%89%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%124%0A2/tmp/dataflow-requirements-cache/six-1.15.0.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%13%0A%11six-1.15.0.tar.gz2%91%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%128%0A6/tmp/dataflow-requirements-cache/funcsigs-1.0.2.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%17%0A%15funcsigs-1.0.2.tar.gz2%87%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%123%0A1/tmp/dataflow-requirements-cache/pbr-5.4.5.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10pbr-5.4.5.tar.gz2%97%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%3B%0A9/tmp/dataflow-requirements-cache/PyHamcrest-1.10.1.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%1A%0A%18PyHamcrest-1.10.1.tar.gz2%C4%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12i%0Ag<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/build/apache-beam.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%19%0A%17dataflow_python_sdk.tar2%9C%02%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%C4%01%0A%C1%01/home/jenkins/jenkins-slave/workspace/beam_PostCommit_Python36/src/runners/google-cloud-dataflow-java/worker/build/libs/beam-runners-google-cloud-dataflow-java-fn-api-worker-2.25.0-SNAPSHOT.jar%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%15%0A%13dataflow-worker.jarjx%0A%22%0A%20beam%3Awindow_fn%3Aglobal_windows%3Av1%10%01%1A%1Dref_Coder_GlobalWindowCoder_1%22%02%3A%00%28%010%018%01H%01Z%25ref_Environment_default_environment_1";,>
"user_name": "CoGroupByKey/GroupByKey"
}
},
{
"kind": "ParallelDo",
"name": "s23",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "_merge_tagged_vals_under_key"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "CoGroupByKey/Map(_merge_tagged_vals_under_key).out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "s22"
},
"serialized_fn":
"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",
"user_name": "CoGroupByKey/Map(_merge_tagged_vals_under_key)"
}
},
{
"kind": "ParallelDo",
"name": "s24",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "CallableWrapperDoFn",
"type": "STRING",
"value": "apache_beam.transforms.core.CallableWrapperDoFn"
},
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
"type": "STRING",
"value": "check"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
},
{
"@type":
"FastPrimitivesCoder$QlpoOTFBWSZTWYQR6NMAAEDXwH8QgCEJAEBAv279AmAAIABqEqnqGgaABpoyNAGVHpGgMgDQBk0oR6IeoECBiqqU5NY23ndshzT2UPUOGrg42YPi9VyA8lbwwPJgtghxs5Qq1aWwExCDeMa0RHC2QigTCdizz1nx+LuSKcKEhCCPRpg=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_4"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "Map(check).out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s23"
},
"serialized_fn":
"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",
"user_name": "Map(check)"
}
}
],
"type": "JOB_TYPE_BATCH"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: '2020-08-26T00:13:03.567086Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-08-25_17_13_02-16882927733994065037'
location: 'us-central1'
name: 'beamapp-jenkins-0826001253-890163'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2020-08-26T00:13:03.567086Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-08-25_17_13_02-16882927733994065037]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job:
2020-08-25_17_13_02-16882927733994065037
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-25_17_13_02-16882927733994065037?project=apache-beam-testing
apache_beam.io.filesystem: DEBUG: translate_pattern:
'gs://temp-storage-for-end-to-end-tests/py-it-cloud/output/7320213f-2015-43a4-bb23-4a00da385dc0'
->
'gs\\:\\/\\/temp\\-storage\\-for\\-end\\-to\\-end\\-tests\\/py\\-it\\-cloud\\/output\\/7320213f\\-2015\\-43a4\\-bb23\\-4a00da385dc0'
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-postCommitIT-df-py36.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 66 tests in 4118.621s
FAILED (SKIP=7, failures=1)
> Task :sdks:python:test-suites:dataflow:py36:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 118
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py36:postCommitIT'.
> Process 'command 'sh'' finished with non-zero exit value 1
* 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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 11m 46s
167 actionable tasks: 131 executed, 32 from cache, 4 up-to-date
Publishing build scan...
https://gradle.com/s/zhzc2orluyjwc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
