See
<https://ci-beam.apache.org/job/beam_PostCommit_Python36/3971/display/redirect?page=changes>
Changes:
[rafal.ochyra] [BEAM-12225] List shards using ListShards API instead of
DescribeStream
[noreply] [BEAM-12434] Implement side_input for num_shards in iobase (#14916)
------------------------------------------
[...truncated 25.73 MB...]
"@type": "kind:global_window"
}
],
"is_wrapper": true
}
],
"is_stream_like": {
"value": true
}
},
"output_name": "out",
"user_name":
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(MapFilesToRemove.out.0).output"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s2"
},
"user_name":
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(MapFilesToRemove.out.0)",
"windowing_strategy":
"%0A%B5%19%22%40%0A%1Dref_Coder_GlobalWindowCoder_1%12%1F%0A%1D%0A%1Bbeam%3Acoder%3Aglobal_window%3Av1%2A%F0%18%0A%25ref_Environment_default_environment_1%12%C6%18%12%12beam%3Aenv%3Adocker%3Av1%1A%3D%0A%3Bgcr.io/cloud-dataflow/v1beta3/python36%3Abeam-master-20210526%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%19beam%3Acoder%3Asharded_key%3Av1%2A%23beam%3Aprotocol%3Aprogress_reporting%3Av0%2A%29beam%3Aprotocol%3Aharness_monitoring_infos%3Av1%2A%1Ebeam%3Aprotocol%3Aworker_status%3Av1%2A%1Fbeam%3Acombinefn%3Apacked_python%3Av1%2A%3Abeam%3Aversion%3Asdk_base%3Aapache/beam_python3.6_sdk%3A2.31.0.dev%2A1beam%3Atransform%3Asdf_truncate_sized_restrictions%3Av1%2A%1Bbeam%3Atransform%3Ato_string%3Av12q%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%1D%0A%1Bpostcommit_requirements.txt%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10requirements.txt2%87%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%123%0A1/tmp/dataflow-requirements-cache/pbr-5.5.0.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10pbr-5.5.0.tar.gz2%87%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%123%0A1/tmp/dataflow-requirements-cache/pbr-5.5.1.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10pbr-5.5.1.tar.gz2%87%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%123%0A1/tmp/dataflow-requirements-cache/pbr-5.6.0.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%12%0A%10pbr-5.6.0.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%89%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%124%0A2/tmp/dataflow-requirements-cache/six-1.16.0.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%13%0A%11six-1.16.0.tar.gz2%8F%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%127%0A5/tmp/dataflow-requirements-cache/soupsieve-2.2.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%16%0A%14soupsieve-2.2.tar.gz2%93%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%129%0A7/tmp/dataflow-requirements-cache/soupsieve-2.2.1.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%18%0A%16soupsieve-2.2.1.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%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%9B%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%3D%0A%3B/tmp/dataflow-requirements-cache/parameterized-0.7.5.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%1C%0A%1Aparameterized-0.7.5.tar.gz2%9D%01%0A%1Abeam%3Aartifact%3Atype%3Afile%3Av1%12%3E%0A%3C/tmp/dataflow-requirements-cache/beautifulsoup4-4.9.3.tar.gz%1A%20beam%3Aartifact%3Arole%3Astaging_to%3Av1%22%1D%0A%1Bbeautifulsoup4-4.9.3.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-2.31.0-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";>
}
},
{
"kind": "ParallelDo",
"name": "s8",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "RemoveExtractedFiles",
"type": "STRING",
"value":
"apache_beam.io.gcp.bigquery_read_internal.RemoveExtractedFiles"
}
],
"non_parallel_inputs": {
"python_side_input0-read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)":
{
"@type": "OutputReference",
"output_name": "out",
"step_name": "SideInput-s6"
},
"python_side_input1-read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)":
{
"@type": "OutputReference",
"output_name": "out",
"step_name": "SideInput-s7"
}
},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$eNprYE5OLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqYIfgYGhvi0xJycpMTk7HiwlkJ8pgVkJmfnpEJNYQGawlpbyJZUnKQHACYlLgM=",
"component_encodings": [
{
"@type":
"FastPrimitivesCoder$eNprYE5OLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqYIfgYGhvi0xJycpMTk7HiwlkJ8pgVkJmfnpEJNYQGawlpbyJZUnKQHACYlLgM=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_3"
},
{
"@type":
"FastPrimitivesCoder$eNprYE5OLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqYIfgYGhvi0xJycpMTk7HiwlkJ8pgVkJmfnpEJNYQGawlpbyJZUnKQHACYlLgM=",
"component_encodings": [],
"pipeline_proto_coder_id":
"ref_Coder_FastPrimitivesCoder_3"
}
],
"is_pair_like": true,
"pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_3"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name":
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles).out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "s5"
},
"serialized_fn":
"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",
"user_name":
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/ParDo(RemoveExtractedFiles)"
}
},
{
"kind": "ParallelWrite",
"name": "s9",
"properties": {
"create_disposition": "CREATE_IF_NEEDED",
"dataset": "python_query_to_table_16228337572660",
"display_data": [],
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type":
"RowAsDictJsonCoder$eNprYE5OLEhMzkiNT0pNzNXLzNdLTy7QS8pMLyxNLaqML8nPzynmCsovdyx2yUwu8SrOz3POT0kt4ipk0GwsZKwtZErSAwBK5xfp",
"component_encodings": [],
"pipeline_proto_coder_id": "ref_Coder_RowAsDictJsonCoder_6"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"format": "bigquery",
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s4"
},
"schema": "{\"fields\": [{\"name\": \"bytes\", \"type\": \"BYTES\",
\"mode\": \"NULLABLE\"}, {\"name\": \"date\", \"type\": \"DATE\", \"mode\":
\"NULLABLE\"}, {\"name\": \"time\", \"type\": \"TIME\", \"mode\":
\"NULLABLE\"}]}",
"table": "output_table",
"user_name": "write/Write/NativeWrite",
"write_disposition": "WRITE_EMPTY"
}
}
],
"type": "JOB_TYPE_BATCH"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: '2021-06-04T19:09:37.395124Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-06-04_12_09_36-10234156068659478989'
location: 'us-central1'
name: 'beamapp-jenkins-0604190923-119560'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2021-06-04T19:09:37.395124Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2021-06-04_12_09_36-10234156068659478989]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job:
2021-06-04_12_09_36-10234156068659478989
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-04_12_09_36-10234156068659478989?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2021-06-04_12_09_36-10234156068659478989 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:40.299Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-06-04_12_09_36-10234156068659478989. The number of workers will be between
1 and 1000.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:40.916Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2021-06-04_12_09_36-10234156068659478989.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:47.034Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:48.958Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.071Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.171Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.294Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.437Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.537Z:
JOB_MESSAGE_DETAILED: Fusing consumer
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough)
into read/ReadFromBigQuery/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.636Z:
JOB_MESSAGE_DETAILED: Fusing consumer write/Write/NativeWrite into
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.742Z:
JOB_MESSAGE_DETAILED: Fusing consumer read/ReadFromBigQuery/MapFilesToRemove
into read/ReadFromBigQuery/FilesToRemoveImpulse/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.858Z:
JOB_MESSAGE_DETAILED: Fusing consumer
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/ParDo(RemoveExtractedFiles)
into read/ReadFromBigQuery/_PassThroughThenCleanup/Create/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:49.957Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:50.087Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:50.183Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:50.288Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:50.718Z:
JOB_MESSAGE_DEBUG: Executing wait step start5
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:50.975Z:
JOB_MESSAGE_BASIC: Executing operation
read/ReadFromBigQuery/FilesToRemoveImpulse/Read+read/ReadFromBigQuery/MapFilesToRemove
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:51.089Z:
JOB_MESSAGE_BASIC: Executing operation
read/ReadFromBigQuery/Read+read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough)+write/Write/NativeWrite
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:51.112Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:09:51.218Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:10:16.623Z:
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
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:10:42.954Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on
the rate of progress in the currently running stage(s).
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:11:12.428Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:11:12.562Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:15.617Z:
JOB_MESSAGE_BASIC: Executing BigQuery import job
"dataflow_job_2100228889340070166". You can check its status with the bq tool:
"bq show -j --project_id=apache-beam-testing dataflow_job_2100228889340070166".
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:19.545Z:
JOB_MESSAGE_BASIC: Finished operation
read/ReadFromBigQuery/FilesToRemoveImpulse/Read+read/ReadFromBigQuery/MapFilesToRemove
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:19.753Z:
JOB_MESSAGE_DEBUG: Value "read/ReadFromBigQuery/MapFilesToRemove.out"
materialized.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:19.933Z:
JOB_MESSAGE_BASIC: Executing operation
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(MapFilesToRemove.out.0)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:20.081Z:
JOB_MESSAGE_BASIC: Finished operation
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(MapFilesToRemove.out.0)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:20.299Z:
JOB_MESSAGE_DEBUG: Value
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(MapFilesToRemove.out.0).output"
materialized.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:26.307Z:
JOB_MESSAGE_BASIC: BigQuery import job "dataflow_job_2100228889340070166" done.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:27.044Z:
JOB_MESSAGE_BASIC: Finished operation
read/ReadFromBigQuery/Read+read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough)+write/Write/NativeWrite
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:27.274Z:
JOB_MESSAGE_DEBUG: Value
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough).cleanup_signal"
materialized.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:27.457Z:
JOB_MESSAGE_BASIC: Executing operation
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(ParDo(PassThrough).cleanup_signal.0)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:27.573Z:
JOB_MESSAGE_BASIC: Finished operation
read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(ParDo(PassThrough).cleanup_signal.0)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:27.825Z:
JOB_MESSAGE_DEBUG: Value
"read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/_UnpickledSideInput(ParDo(PassThrough).cleanup_signal.0).output"
materialized.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:28.040Z:
JOB_MESSAGE_BASIC: Executing operation
read/ReadFromBigQuery/_PassThroughThenCleanup/Create/Read+read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/ParDo(RemoveExtractedFiles)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:34.404Z:
JOB_MESSAGE_BASIC: Finished operation
read/ReadFromBigQuery/_PassThroughThenCleanup/Create/Read+read/ReadFromBigQuery/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/ParDo(RemoveExtractedFiles)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:34.587Z:
JOB_MESSAGE_DEBUG: Executing success step success3
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:34.779Z:
JOB_MESSAGE_DETAILED: Cleaning up.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:34.890Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-04T19:17:35.004Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: WARNING: Timing out on waiting
for job 2021-06-04_12_09_36-10234156068659478989 after 902 seconds
oauth2client.transport: INFO: Refreshing due to a 401 (attempt 1/2)
--------------------- >> 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 71 tests in 5988.793s
FAILED (SKIP=8, errors=1, failures=2)
> Task :sdks:python:test-suites:dataflow:py36:postCommitIT FAILED
FAILURE: Build completed with 3 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':runners:java-job-service:compileJava'.
> Failed to load cache entry for task ':runners:java-job-service:compileJava'
* 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.
==============================================================================
2: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task
':sdks:python:test-suites:portable:py36:portableWordCountSparkRunnerBatch'.
> 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.
==============================================================================
3: Task 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: 126
* 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 45m 53s
205 actionable tasks: 149 executed, 52 from cache, 4 up-to-date
Publishing build scan...
https://gradle.com/s/x6lr7hlaepgzo
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]
