See
<https://ci-beam.apache.org/job/beam_PostCommit_Python37/3949/display/redirect?page=changes>
Changes:
[noreply] [BEAM-9547] Add implementation for from_dict, from_records (#15034)
[noreply] [BEAM-11951] added "Differences from Pandas" page for DataFrame
(#15074)
[noreply] [BEAM-9547] reindex is order-sensitive (#15032)
------------------------------------------
[...truncated 61.70 MB...]
}
},
{
"kind": "ParallelDo",
"name": "s56",
"properties": {
"display_data": [
{
"key": "fn",
"label": "Transform Function",
"namespace": "apache_beam.transforms.core.ParDo",
"shortValue": "WaitForBQJobs",
"type": "STRING",
"value": "apache_beam.io.gcp.bigquery_file_loads.WaitForBQJobs"
}
],
"non_parallel_inputs": {
"python_side_input0-write/BigQueryBatchFileLoads/WaitForDestinationLoadJobs": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "SideInput-s55"
}
},
"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":
"write/BigQueryBatchFileLoads/WaitForDestinationLoadJobs.out"
}
],
"parallel_input": {
"@type": "OutputReference",
"output_name": "out",
"step_name": "s54"
},
"serialized_fn":
"QlpoOTFBWSZTWbr5ox8AAxV/4///////////////wr/v/6Li0AAEAEAQCAAA0AM+83pygGRg1NEyp6Q0Bo0MgxGRoPSAABoNGmgeo0ANMTTEGmj1AxAgwAAAAAAAAAAAAAAAAAAAABEzUJqnlGgGgaDIAAANAAAAAAAGgAAABE/VKan6o00AA0ADTQA0aA0AA0xGgAAaAwRoMhkAkkJkBNMUwg0CaaQ2o9R6mNJ6TQ00AaGQAAAGmhp6E9TRo1U1rie267Z1rKIzunL/YhVkwvjiwy3IS7LAjrMgYcd05VACgA+1r8pMnz9gPFstS2DGwLZK7/RppSN28egaY4UjgQQQEAEABEQFJIWLREvuJ1hPrtk0rbN4+0oezF3meXoeyK4CK9F0i5MKJgQ9TgHMRgRJIHE1L5F8gNGoiRrApV3FpvScYTXzhVK4H5IwRvrIBRvUKIVOkjw4OmQwYK59WBPnLCbX2ARWlCLLzuBFiuZd6sKCUu3gOClR2YnbM00JcbW45iJ1/Q5dJK8I66o9mysuytemADsmmGCTC7AwMaAKpTarIKeQfMbzqXTRkOdtP4P0gQxIC7hD+Cl4ccuidti0QRsFYjjEpMO4iHW9C/nU3z1Odfadj8sp3ZZQ4EBhDRh2I/i2B1HKZPXnTeeDLlN+6R40cSgoS5x3784MB7h06IBwDAnx2ETTyimaUAlF2rrsCHk5uApqCjW3Go3MTns/dHddAQhAhNvCCUIb5Hl+NM+12OmJbhZHSYTRZhyL2EQN6oqmjSKuqu8YMWPdRRFjLjTwk0cNf3LRBXJreO67rmNSzaXkWhbVv7+mDw7gxFs5wDJmYndjLDWwz6eg+F1Svnw2C3dzy1FokEkatGzDawycNA1OR4VFJzFkqmKyKSIlbn7cwqGjMK9EdacHzRBZ2ZlD3+q8ZlGQUIkQZkzedYMwc0zdFGCS0NJOq2yBfYjUmftgVsqlJlagMOJarLM4zTJ6K22Cvi5P6j4kGUu+5ve5HOcxzg1YgRgdemszf+X4a3OAAAAAAAAogBDAEnCWtcACIjzQGPOgKM4iKMRhRVk0sp5ma2vNlW5FE0orkAHsVBW0/izvRrwbYGUZU4atPfYyo2ebsWFJiljqga7AWZQYrmuZ0CLxMTMNCm3akrB5POp2mnhRXOKeMVK7GRY7fc/ympHO+DNUaNTS4eYK1Z3V6ji4zZckkabINgsoggox3Qb3ZAVkayaah/En5+vulTg/1r7AxqlKnUwnMT8kuP1v/f4u5IpwoSF180Y+",
"user_name":
"write/BigQueryBatchFileLoads/WaitForDestinationLoadJobs/WaitForDestinationLoadJobs"
}
},
{
"kind": "Flatten",
"name": "s57",
"properties": {
"display_data": [],
"inputs": [
{
"@type": "OutputReference",
"output_name": "None",
"step_name": "s53"
},
{
"@type": "OutputReference",
"output_name": "None",
"step_name": "s29"
}
],
"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": "out",
"user_name": "write/BigQueryBatchFileLoads/Flatten.out"
}
],
"user_name": "write/BigQueryBatchFileLoads/Flatten"
}
}
],
"type": "JOB_TYPE_BATCH"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
createTime: '2021-06-25T18:33:42.470086Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-06-25_11_33_41-15776478871121487050'
location: 'us-central1'
name: 'beamapp-jenkins-0625183331-694619'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2021-06-25T18:33:42.470086Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id:
[2021-06-25_11_33_41-15776478871121487050]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job:
2021-06-25_11_33_41-15776478871121487050
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-25_11_33_41-15776478871121487050?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2021-06-25_11_33_41-15776478871121487050 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:44.809Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-06-25_11_33_41-15776478871121487050. The number of workers will be between
1 and 1000.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:44.899Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2021-06-25_11_33_41-15776478871121487050.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:46.590Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-b.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.385Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.431Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables: GroupByKey not
followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.464Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations: GroupByKey not
followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.498Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
write/BigQueryBatchFileLoads/GroupShardedRows: GroupByKey not followed by a
combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.542Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.578Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.703Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.750Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.782Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s24 for input s18.WrittenFiles
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.813Z:
JOB_MESSAGE_DETAILED: Fusing unzipped copy of
write/BigQueryBatchFileLoads/IdentityWorkaround, through flatten
write/BigQueryBatchFileLoads/DestinationFilesUnion, into producer
write/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.848Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Write into
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Reify
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.881Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/GroupByWindow into
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.907Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles) into
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/GroupByWindow
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.939Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/TriggerLoadJobsWithTempTables/ParDo(TriggerLoadJobs)/ParDo(TriggerLoadJobs)
into write/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.961Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/TriggerLoadJobsWithoutTempTables/TriggerLoadJobsWithoutTempTables
into write/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:48.994Z:
JOB_MESSAGE_DETAILED: Unzipping flatten s24-u32 for input s25.None-c30
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.028Z:
JOB_MESSAGE_DETAILED: Fusing unzipped copy of
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Reify, through
flatten write/BigQueryBatchFileLoads/DestinationFilesUnion/Unzipped-1, into
producer write/BigQueryBatchFileLoads/IdentityWorkaround
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.052Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/IdentityWorkaround into
write/BigQueryBatchFileLoads/WriteGroupedRecordsToFile/WriteGroupedRecordsToFile
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.081Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Reify into
write/BigQueryBatchFileLoads/IdentityWorkaround
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.106Z:
JOB_MESSAGE_DETAILED: Fusing consumer
read/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough) into
read/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.138Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RewindowIntoGlobal into
read/_PassThroughThenCleanup/ParDo(PassThrough)/ParDo(PassThrough)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.172Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/AppendDestination into
write/BigQueryBatchFileLoads/RewindowIntoGlobal
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.202Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)
into write/BigQueryBatchFileLoads/AppendDestination
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.227Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/ParDo(_ShardDestinations) into
write/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.265Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupShardedRows/Reify into
write/BigQueryBatchFileLoads/ParDo(_ShardDestinations)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.298Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupShardedRows/Write into
write/BigQueryBatchFileLoads/GroupShardedRows/Reify
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.331Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GroupShardedRows/GroupByWindow into
write/BigQueryBatchFileLoads/GroupShardedRows/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.356Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/DropShardNumber into
write/BigQueryBatchFileLoads/GroupShardedRows/GroupByWindow
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.390Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/WriteGroupedRecordsToFile/WriteGroupedRecordsToFile
into write/BigQueryBatchFileLoads/DropShardNumber
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.431Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/LoadJobNamePrefix into
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.457Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/SchemaModJobNamePrefix into
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.482Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/CopyJobNamePrefix into
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.508Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/GenerateFilePrefix into
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.551Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/ParDo(UpdateDestinationSchema)/ParDo(UpdateDestinationSchema)
into
write/BigQueryBatchFileLoads/WaitForTempTableLoadJobs/WaitForTempTableLoadJobs
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.582Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/WaitForTempTableLoadJobs/WaitForTempTableLoadJobs
into write/BigQueryBatchFileLoads/ImpulseMonitorLoadJobs/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.614Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/WaitForSchemaModJobs/WaitForSchemaModJobs into
write/BigQueryBatchFileLoads/ImpulseMonitorSchemaModJobs/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.639Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/WaitForCopyJobs/WaitForCopyJobs into
write/BigQueryBatchFileLoads/ImpulseMonitorCopyJobs/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.664Z:
JOB_MESSAGE_DETAILED: Fusing consumer read/MapFilesToRemove into
read/FilesToRemoveImpulse/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.688Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/PassTables/PassTables into
write/BigQueryBatchFileLoads/RemoveTempTables/Impulse/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.720Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/AddUselessValue into
write/BigQueryBatchFileLoads/RemoveTempTables/PassTables/PassTables
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.752Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Reify into
write/BigQueryBatchFileLoads/RemoveTempTables/AddUselessValue
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.786Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Write into
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Reify
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.808Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/GroupByWindow
into write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.841Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/GetTableNames/Keys into
write/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/GroupByWindow
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.873Z:
JOB_MESSAGE_DETAILED: Fusing consumer
read/_PassThroughThenCleanup/ParDo(RemoveExtractedFiles)/ParDo(RemoveExtractedFiles)
into read/_PassThroughThenCleanup/Create/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.907Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/RemoveTempTables/Delete into
write/BigQueryBatchFileLoads/RemoveTempTables/GetTableNames/Keys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.937Z:
JOB_MESSAGE_DETAILED: Fusing consumer
write/BigQueryBatchFileLoads/WaitForDestinationLoadJobs/WaitForDestinationLoadJobs
into write/BigQueryBatchFileLoads/ImpulseMonitorDestinationLoadJobs/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.968Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:49.993Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.015Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.049Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.215Z:
JOB_MESSAGE_DEBUG: Executing wait step start52
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.269Z:
JOB_MESSAGE_BASIC: Executing operation
read/FilesToRemoveImpulse/Read+read/MapFilesToRemove
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.302Z:
JOB_MESSAGE_BASIC: Executing operation
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read+write/BigQueryBatchFileLoads/LoadJobNamePrefix+write/BigQueryBatchFileLoads/SchemaModJobNamePrefix+write/BigQueryBatchFileLoads/CopyJobNamePrefix+write/BigQueryBatchFileLoads/GenerateFilePrefix
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.315Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.334Z:
JOB_MESSAGE_BASIC: Executing operation
write/BigQueryBatchFileLoads/ImpulseEmptyPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.345Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.369Z:
JOB_MESSAGE_BASIC: Finished operation
write/BigQueryBatchFileLoads/ImpulseEmptyPC/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:33:50.423Z:
JOB_MESSAGE_DEBUG: Value "write/BigQueryBatchFileLoads/ImpulseEmptyPC/Read.out"
materialized.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:04.854Z:
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: 2021-06-25T18:34:45.216Z:
JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to
bring up any of the desired 1 workers. ZONE_RESOURCE_POOL_EXHAUSTED: The zone
'projects/apache-beam-testing/zones/us-central1-b' does not have enough
resources available to fulfill the request. Try a different zone, or try again
later.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.252Z:
JOB_MESSAGE_ERROR: Workflow failed.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.576Z:
JOB_MESSAGE_WARNING: S16:read/FilesToRemoveImpulse/Read+read/MapFilesToRemove
failed.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.606Z:
JOB_MESSAGE_WARNING:
S01:write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read+write/BigQueryBatchFileLoads/LoadJobNamePrefix+write/BigQueryBatchFileLoads/SchemaModJobNamePrefix+write/BigQueryBatchFileLoads/CopyJobNamePrefix+write/BigQueryBatchFileLoads/GenerateFilePrefix
failed.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.608Z:
JOB_MESSAGE_BASIC: Finished operation
read/FilesToRemoveImpulse/Read+read/MapFilesToRemove
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.635Z:
JOB_MESSAGE_BASIC: Finished operation
write/BigQueryBatchFileLoads/ImpulseSingleElementPC/Read+write/BigQueryBatchFileLoads/LoadJobNamePrefix+write/BigQueryBatchFileLoads/SchemaModJobNamePrefix+write/BigQueryBatchFileLoads/CopyJobNamePrefix+write/BigQueryBatchFileLoads/GenerateFilePrefix
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.717Z:
JOB_MESSAGE_DETAILED: Cleaning up.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.765Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:34:45.797Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:35:02.193Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2021-06-25T18:35:02.227Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
apache_beam.runners.dataflow.dataflow_runner: INFO: Job
2021-06-25_11_33_41-15776478871121487050 is in state JOB_STATE_FAILED
--------------------- >> 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 71 tests in 4671.908s
FAILED (SKIP=8, errors=7)
> 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: 126
* 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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 22m 33s
216 actionable tasks: 154 executed, 58 from cache, 4 up-to-date
Publishing build scan...
https://gradle.com/s/7nvqcplmgdnmw
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]