See
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4319/display/redirect?page=changes>
Changes:
[randomstep] [BEAM-12185] Bump org.jenkins-ci.plugins:junit to 1.49
[vitaly.terentyev] [BEAM-8897] Fix reading Rows with Numeric fields from a JDBC
data source
[yzhan559] [BEAM-2492] Have PipelineOptions DisplayData filter out attributes
[danthev] Fix reporting of throttling metric.
[noreply] Update container images used by Dataflow for unreleased SDKs
[Robert Bradshaw] Rename run_test as it doens't actually test anything.
[noreply] [BEAM-9547] Add support for tz_convert, workaround DatetimeIndex
hashing
[noreply] [BEAM-9547] Add implementation for first and last (#14992)
[noreply] [BEAM-12334] Re-use java 11 flag in build.gradle (#14892)
------------------------------------------
[...truncated 1.66 MB...]
"@type": "kind:interval_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "format.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s7"
},
"serialized_fn": "ref_AppliedPTransform_format_10",
"user_name": "format"
}
},
{
"kind": "ParallelDo",
"name": "s9",
"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": "<lambda>"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:interval_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "encode.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s8"
},
"serialized_fn": "ref_AppliedPTransform_encode_11",
"user_name": "encode"
}
},
{
"kind": "ParallelDo",
"name": "s10",
"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": "bytes_to_proto_str"
}
],
"non_parallel_inputs": {},
"output_info": [
{
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:interval_window"
}
],
"is_wrapper": true
},
"output_name": "None",
"user_name": "WriteToPubSub/ToProtobuf.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s9"
},
"serialized_fn": "ref_AppliedPTransform_WriteToPubSub-ToProtobuf_13",
"user_name": "WriteToPubSub/ToProtobuf"
}
},
{
"kind": "ParallelWrite",
"name": "s11",
"properties": {
"display_data": [],
"encoding": {
"@type": "kind:windowed_value",
"component_encodings": [
{
"@type": "kind:bytes"
},
{
"@type": "kind:global_window"
}
],
"is_wrapper": true
},
"format": "pubsub",
"parallel_input": {
"@type": "OutputReference",
"output_name": "None",
"step_name": "s10"
},
"pubsub_serialized_attributes_fn": "",
"pubsub_topic":
"projects/apache-beam-testing/topics/wc_topic_output16799caa-271a-4358-89a2-0124586a98d1",
"user_name": "WriteToPubSub/Write/NativeWrite"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2021-06-16T01:05:55.995214Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-06-15_18_05_54-708117918117160582'
location: 'us-central1'
name: 'beamapp-jenkins-0616010547-361181'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2021-06-16T01:05:55.995214Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2021-06-15_18_05_54-708117918117160582]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2021-06-15_18_05_54-708117918117160582
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-15_18_05_54-708117918117160582?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2021-06-15_18_05_54-708117918117160582 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:05:59.051Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:05:59.194Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-06-15_18_05_54-708117918117160582. The number of workers will be between 1
and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:05:59.218Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2021-06-15_18_05_54-708117918117160582.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:00.960Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.511Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.541Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.596Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.633Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.659Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.694Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.754Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.805Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.844Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.861Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.903Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.937Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:01.971Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.007Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.040Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.096Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.129Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.152Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.184Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.207Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.249Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.276Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.305Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.338Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.401Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.430Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:02.466Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:29.898Z:
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not
be created. However, all user metrics are also available in the metric
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics,
you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:06:58.603Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that
the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:07:32.243Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-16T01:07:32.288Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2021-06-15_18_05_54-708117918117160582 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of
auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth
process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using
them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth
process...
DEBUG:google.auth._default:No App Engine library was found so cannot
authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET
http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET
http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1):
metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1"
200 144
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
HTTP/1.1" 200 244
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-15_18_05_54-708117918117160582?project=apache-beam-testing
test_streaming_wordcount_it
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok
----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 601.806s
OK
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 87
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py37:preCommitIT_batch_V2'.
> 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 5m 17s
103 actionable tasks: 74 executed, 29 from cache
Publishing build scan...
https://gradle.com/s/f6jiddjbudykc
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]
