See 
<https://builds.apache.org/job/beam_PostCommit_Python37/1100/display/redirect>

Changes:


------------------------------------------
[...truncated 3.80 MB...]
      "properties": {
        "bigquery_export_format": "FORMAT_AVRO",
        "bigquery_flatten_results": true,
        "bigquery_kms_key": 
"projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test",
        "bigquery_query": "SELECT * FROM (SELECT \"apple\" as fruit) UNION ALL 
(SELECT \"orange\" as fruit)",
        "bigquery_use_legacy_sql": false,
        "display_data": [
          {
            "key": "source",
            "label": "Read Source",
            "namespace": "apache_beam.io.iobase.Read",
            "shortValue": "BigQuerySource",
            "type": "STRING",
            "value": "apache_beam.io.gcp.bigquery.BigQuerySource"
          },
          {
            "key": "query",
            "label": "Query",
            "namespace": "apache_beam.io.gcp.bigquery.BigQuerySource",
            "type": "STRING",
            "value": "SELECT * FROM (SELECT \"apple\" as fruit) UNION ALL 
(SELECT \"orange\" as fruit)"
          },
          {
            "key": "validation",
            "label": "Validation Enabled",
            "namespace": "apache_beam.io.gcp.bigquery.BigQuerySource",
            "type": "BOOLEAN",
            "value": false
          }
        ],
        "format": "bigquery",
        "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_1"
                    },
                    {
                      "@type": 
"FastPrimitivesCoder$eNprYE5OLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqYIfgYGhvi0xJycpMTk7HiwlkJ8pgVkJmfnpEJNYQGawlpbyJZUnKQHACYlLgM=",
                      "component_encodings": [],
                      "pipeline_proto_coder_id": 
"ref_Coder_FastPrimitivesCoder_1"
                    }
                  ],
                  "is_pair_like": true,
                  "pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_1"
                },
                {
                  "@type": "kind:global_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "out",
            "user_name": "read.out"
          }
        ],
        "user_name": "read"
      }
    },
    {
      "kind": "ParallelWrite",
      "name": "s2",
      "properties": {
        "bigquery_kms_key": 
"projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test",
        "create_disposition": "CREATE_IF_NEEDED",
        "dataset": "python_query_to_table_15759601384603",
        "display_data": [],
        "encoding": {
          "@type": "kind:windowed_value",
          "component_encodings": [
            {
              "@type": 
"RowAsDictJsonCoder$eNprYE5OLEhMzkiNT0pNzNXLzNdLTy7QS8pMLyxNLaqML8nPzynmCsovdyx2yUwu8SrOz3POT0kt4ipk0GwsZKwtZErSAwBK5xfp",
              "component_encodings": [],
              "pipeline_proto_coder_id": "ref_Coder_RowAsDictJsonCoder_3"
            },
            {
              "@type": "kind:global_window"
            }
          ],
          "is_wrapper": true
        },
        "format": "bigquery",
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "out",
          "step_name": "s1"
        },
        "schema": "{\"fields\": [{\"name\": \"fruit\", \"type\": \"STRING\", 
\"mode\": \"NULLABLE\"}]}",
        "table": "output_table",
        "user_name": "write/NativeWrite",
        "write_disposition": "WRITE_EMPTY"
      }
    }
  ],
  "type": "JOB_TYPE_BATCH"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
 createTime: '2019-12-10T06:42:32.219957Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2019-12-09_22_42_30-2568904078822554769'
 location: 'us-central1'
 name: 'beamapp-jenkins-1210064219-430136'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2019-12-10T06:42:32.219957Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id: 
[2019-12-09_22_42_30-2568904078822554769]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_42_30-2568904078822554769?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job 
2019-12-09_22_42_30-2568904078822554769 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:30.877Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2019-12-09_22_42_30-2568904078822554769. The number of workers will be between 
1 and 1000.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:30.877Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2019-12-09_22_42_30-2568904078822554769.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:34.341Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:35.328Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-a.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.057Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.088Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.105Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.127Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.406Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.428Z: 
JOB_MESSAGE_DETAILED: Fusing consumer write/NativeWrite into read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.453Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.476Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.503Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.528Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.762Z: 
JOB_MESSAGE_DEBUG: Executing wait step start3
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.811Z: 
JOB_MESSAGE_BASIC: Executing operation read+write/NativeWrite
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.845Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:36.870Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:42:39.399Z: 
JOB_MESSAGE_BASIC: BigQuery query issued as job: 
"dataflow_job_4254221752180505568". You can check its status with the bq tool: 
"bq show -j --project_id=apache-beam-testing dataflow_job_4254221752180505568".
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:43:05.386Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on 
the rate of progress in the currently running step(s).
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:43:13.690Z: 
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric 
descriptors and Stackdriver will not create new Dataflow custom metrics for 
this job. Each unique user-defined metric name (independent of the DoFn in 
which it is defined) produces a new metric descriptor. To 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: 2019-12-10T06:43:49.487Z: 
JOB_MESSAGE_BASIC: BigQuery query completed, job : 
"dataflow_job_4254221752180505568"
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:43:50.977Z: 
JOB_MESSAGE_BASIC: BigQuery export job "dataflow_job_8255296378073311803" 
started. You can check its status with the bq tool: "bq show -j 
--project_id=apache-beam-testing dataflow_job_8255296378073311803".
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:43:51.925Z: 
JOB_MESSAGE_DETAILED: BigQuery export job progress: 
"dataflow_job_8255296378073311803" observed total of 1 exported files thus far.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:44:22.300Z: 
JOB_MESSAGE_BASIC: BigQuery export job finished: 
"dataflow_job_8255296378073311803"
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:44:23.294Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:44:23.322Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:48:36.735Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
oauth2client.transport: INFO: Refreshing due to a 401 (attempt 1/2)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2019-12-10T06:54:36.735Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
apache_beam.runners.dataflow.dataflow_runner: WARNING: Timing out on waiting 
for job 2019-12-09_22_42_30-2568904078822554769 after 901 seconds
--------------------- >> end captured logging << ---------------------
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_07_53-17167066382857461976?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1220:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  experiments = p.options.view_as(DebugOptions).experiments or []
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_25_04-1207631843619559822?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_42_30-2568904078822554769?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/big_query_query_to_table_pipeline.py>:73:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=kms_key))
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_08_35-8371237505681002721?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1220:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  experiments = p.options.view_as(DebugOptions).experiments or []
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_07_43-7512223368023496077?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1220:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_10_06-6643441730550937540?project=apache-beam-testing
  experiments = p.options.view_as(DebugOptions).experiments or []
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:797:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  temp_location = p.options.view_as(GoogleCloudOptions).temp_location
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1220:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  experiments = p.options.view_as(DebugOptions).experiments or []
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:797:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  temp_location = p.options.view_as(GoogleCloudOptions).temp_location
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1220:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  experiments = p.options.view_as(DebugOptions).experiments or []
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:797:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  temp_location = p.options.view_as(GoogleCloudOptions).temp_location
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_08_33-3945311680400231442?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/fileio_test.py>:296:
 FutureWarning: MatchAll is experimental.
  | 'GetPath' >> beam.Map(lambda metadata: metadata.path))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/fileio_test.py>:307:
 FutureWarning: MatchAll is experimental.
  | 'Checksums' >> beam.Map(compute_hash))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/fileio_test.py>:307:
 FutureWarning: ReadMatches is experimental.
  | 'Checksums' >> beam.Map(compute_hash))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1217:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
  self.table_reference.projectId = pcoll.pipeline.options.view_as(
Worker logs: 
https://console.cloud.google.com/dataflow/jobsDetail/locations/us-central1/jobs/2019-12-09_22_09_11-391434435887364061?project=apache-beam-testing
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py>:739:
 BeamDeprecationWarning: BigQuerySink is deprecated since 2.11.0. Use 
WriteToBigQuery instead.
  kms_key=transform.kms_key))

----------------------------------------------------------------------
XML: nosetests-postCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: 
<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 45 tests in 4594.699s

FAILED (SKIP=6, errors=30, failures=4)

> Task :sdks:python:test-suites:dataflow:py37:postCommitIT FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task 
':sdks:python:test-suites:portable:py37:portableWordCountFlinkRunnerBatch'.
> 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.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Build file 
'<https://builds.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/test-suites/dataflow/py37/build.gradle'>
 line: 89

* 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 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 17m 46s
84 actionable tasks: 63 executed, 21 from cache

Publishing build scan...
https://scans.gradle.com/s/5csvto7migxn4

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]

Reply via email to