See
<https://ci-beam.apache.org/job/beam_PostCommit_Python37/3210/display/redirect?page=changes>
Changes:
[dpcollins] [BEAM-10114] Convert PubsubLiteIO read to use SplittableDoFn.
[dpcollins] Fix test.
[dpcollins] fix: Testing issues
[dpcollins] [BEAM-10114] Convert PubsubLiteIO to use an SDF for reads.
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] [BEAM-10114] Add byte and time limiting
[dpcollins] fix: Linter issues
[dpcollins] fix: linters
[dpcollins] fix: linters
[Pablo Estrada] Adding limitations of SchemaUpdateOptions to BQIO javadoc.
[Robert Bradshaw] [BEAM-11472] Support SDF on non-splitting runners such as
legacy
[dpcollins] fix: Remove unnecessary shuffle.
[dpcollins] fix: Address comments
------------------------------------------
[...truncated 52.27 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_outputda805638-4af0-4757-8796-4a59b68fb296",
"user_name": "WriteToPubSub/Write/NativeWrite"
}
}
],
"type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: '2020-12-16T06:13:54.219517Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-12-15_22_13_52-436457409683368191'
location: 'us-central1'
name: 'beamapp-jenkins-1216061343-763612'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2020-12-16T06:13:54.219517Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2020-12-15_22_13_52-436457409683368191]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job:
2020-12-15_22_13_52-436457409683368191
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-12-15_22_13_52-436457409683368191?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2020-12-15_22_13_52-436457409683368191 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:57.079Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.600Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.602Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.610Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.621Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.625Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.631Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.641Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.644Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.646Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.649Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.653Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.656Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.658Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.661Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.663Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.666Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.671Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.673Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
WriteToPubSub/ToProtobuf
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.682Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.715Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.726Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.825Z:
JOB_MESSAGE_DEBUG: Executing wait step start2
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.839Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:13:58.844Z:
JOB_MESSAGE_BASIC: Starting 1 workers...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:14:01.240Z:
JOB_MESSAGE_BASIC: Executing operation
ReadFromPubSub/Read+decode+split+pair_with_one+WindowInto(WindowIntoFn)+group/WriteStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:14:01.240Z:
JOB_MESSAGE_BASIC: Executing operation
group/ReadStream+group/MergeBuckets+count+format+encode+WriteToPubSub/ToProtobuf+WriteToPubSub/Write/NativeWrite
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:14:33.971Z:
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: 2020-12-16T06:15:49.072Z:
JOB_MESSAGE_DEBUG: Executing input step topology_init_attach_disk_input_step
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:15:49.446Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-12-16T06:15:57.028Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: WARNING: Timing out on waiting
for job 2020-12-15_22_13_52-436457409683368191 after 362 seconds
google.auth._default: DEBUG: Checking None for explicit credentials as part of
auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth
process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using
them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth
process...
google.auth._default: DEBUG: No App Engine library was found so cannot
authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET
http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET
http://metadata.google.internal/computeMetadata/v1/project/project-id
google.auth.transport.requests: DEBUG: Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1):
metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1"
200 144
google.auth.transport.requests: DEBUG: 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
urllib3.connectionpool: DEBUG: 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" 200 241
--------------------- >> end captured logging << ---------------------
----------------------------------------------------------------------
XML: nosetests-postCommitIT-df-py37.xml
----------------------------------------------------------------------
XML:
<https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 68 tests in 4516.220s
FAILED (SKIP=7, errors=1)
> Task :sdks:python:test-suites:dataflow:py37:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 118
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37: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/6.7/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 20m 7s
211 actionable tasks: 152 executed, 55 from cache, 4 up-to-date
Gradle was unable to watch the file system for changes. The inotify watches
limit is too low.
Publishing build scan...
https://gradle.com/s/rc2jg33tn4y3o
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]
