See 
<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Samza/293/display/redirect?page=changes>

Changes:

[noreply] [BEAM-11217] Implemented metrics filtering (#15482)


------------------------------------------
[...truncated 692.85 KB...]

apache_beam/runners/portability/portable_runner.py:600: RuntimeError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
ERROR:root:java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
------------------------------ Captured log call -------------------------------
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
ERROR    root:portable_runner.py:570 java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
______________________ SqlTransformTest.test_tagged_join _______________________

self = <apache_beam.transforms.sql_test.SqlTransformTest 
testMethod=test_tagged_join>

    def test_tagged_join(self):
      with TestPipeline() as p:
        enrich = (
            p | "Create enrich" >> beam.Create(
                [Enrich(1, "a"), Enrich(2, "b"), Enrich(26, "z")]))
        simple = (
            p | "Create simple" >> beam.Create([
                SimpleRow(1, "foo", 3.14),
                SimpleRow(26, "bar", 1.11),
                SimpleRow(1, "baz", 2.34)
            ]))
        out = ({
            'simple': simple, 'enrich': enrich
        }
               | SqlTransform(
                   """
                SELECT
                  simple.`id` AS `id`,
                  enrich.metadata AS metadata
                FROM simple
                JOIN enrich
                ON simple.`id` = enrich.`id`"""))
>       assert_that(out, equal_to([(1, "a"), (26, "z"), (1, "a")]))

apache_beam/transforms/sql_test.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/pipeline.py:596: in __exit__
    self.result = self.run()
apache_beam/testing/test_pipeline.py:116: in run
    state = result.wait_until_finish()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.portability.portable_runner.PipelineResult object 
at 0x7f83003af1d0>
duration = None

    def wait_until_finish(self, duration=None):
      """
      :param duration: The maximum time in milliseconds to wait for the result 
of
      the execution. If None or zero, will wait until the pipeline finishes.
      :return: The result of the pipeline, i.e. PipelineResult.
      """
      def read_messages():
        # type: () -> None
        previous_state = -1
        for message in self._message_stream:
          if message.HasField('message_response'):
            logging.log(
                MESSAGE_LOG_LEVELS[message.message_response.importance],
                "%s",
                message.message_response.message_text)
          else:
            current_state = message.state_response.state
            if current_state != previous_state:
              _LOGGER.info(
                  "Job state changed to %s",
                  self._runner_api_state_to_pipeline_state(current_state))
              previous_state = current_state
          self._messages.append(message)
    
      message_thread = threading.Thread(
          target=read_messages, name='wait_until_finish_read')
      message_thread.daemon = True
      message_thread.start()
    
      if duration:
        state_thread = threading.Thread(
            target=functools.partial(self._observe_state, message_thread),
            name='wait_until_finish_state_observer')
        state_thread.daemon = True
        state_thread.start()
        start_time = time.time()
        duration_secs = duration / 1000
        while (time.time() - start_time < duration_secs and
               state_thread.is_alive()):
          time.sleep(1)
      else:
        self._observe_state(message_thread)
    
      if self._runtime_exception:
>       raise self._runtime_exception
E       RuntimeError: Pipeline 
BeamApp-jenkins-1002003202-a0561859_d6bad996-be0d-40cb-83b8-d1fbfd06f7d7 failed 
in state FAILED: java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder

apache_beam/runners/portability/portable_runner.py:600: RuntimeError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
ERROR:root:java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
------------------------------ Captured log call -------------------------------
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
ERROR    root:portable_runner.py:570 java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
__________________ SqlTransformTest.test_windowing_before_sql __________________

self = <apache_beam.transforms.sql_test.SqlTransformTest 
testMethod=test_windowing_before_sql>

    def test_windowing_before_sql(self):
      with TestPipeline() as p:
        out = (
            p | beam.Create([
                SimpleRow(5, "foo", 1.),
                SimpleRow(15, "bar", 2.),
                SimpleRow(25, "baz", 3.)
            ])
            | beam.Map(lambda v: beam.window.TimestampedValue(v, v.id)).
            with_output_types(SimpleRow)
            | beam.WindowInto(
                beam.window.FixedWindows(10)).with_output_types(SimpleRow)
            | SqlTransform("SELECT COUNT(*) as `count` FROM PCOLLECTION"))
>       assert_that(out, equal_to([(1, ), (1, ), (1, )]))

apache_beam/transforms/sql_test.py:175: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/pipeline.py:596: in __exit__
    self.result = self.run()
apache_beam/testing/test_pipeline.py:116: in run
    state = result.wait_until_finish()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.portability.portable_runner.PipelineResult object 
at 0x7f8300298ba8>
duration = None

    def wait_until_finish(self, duration=None):
      """
      :param duration: The maximum time in milliseconds to wait for the result 
of
      the execution. If None or zero, will wait until the pipeline finishes.
      :return: The result of the pipeline, i.e. PipelineResult.
      """
      def read_messages():
        # type: () -> None
        previous_state = -1
        for message in self._message_stream:
          if message.HasField('message_response'):
            logging.log(
                MESSAGE_LOG_LEVELS[message.message_response.importance],
                "%s",
                message.message_response.message_text)
          else:
            current_state = message.state_response.state
            if current_state != previous_state:
              _LOGGER.info(
                  "Job state changed to %s",
                  self._runner_api_state_to_pipeline_state(current_state))
              previous_state = current_state
          self._messages.append(message)
    
      message_thread = threading.Thread(
          target=read_messages, name='wait_until_finish_read')
      message_thread.daemon = True
      message_thread.start()
    
      if duration:
        state_thread = threading.Thread(
            target=functools.partial(self._observe_state, message_thread),
            name='wait_until_finish_state_observer')
        state_thread.daemon = True
        state_thread.start()
        start_time = time.time()
        duration_secs = duration / 1000
        while (time.time() - start_time < duration_secs and
               state_thread.is_alive()):
          time.sleep(1)
      else:
        self._observe_state(message_thread)
    
      if self._runtime_exception:
>       raise self._runtime_exception
E       RuntimeError: Pipeline 
BeamApp-jenkins-1002003212-97c1b72_b20ccfbf-7953-4bac-a4d6-7d47235e28a1 failed 
in state FAILED: java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder

apache_beam/runners/portability/portable_runner.py:600: RuntimeError
----------------------------- Captured stderr call -----------------------------
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
3.6 interpreter.
ERROR:root:java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
------------------------------ Captured log call -------------------------------
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
WARNING  root:environments.py:374 Make sure that locally built Python SDK 
docker image has Python 3.6 interpreter.
ERROR    root:portable_runner.py:570 java.lang.ClassCastException: 
org.apache.beam.sdk.coders.ByteArrayCoder cannot be cast to 
org.apache.beam.sdk.coders.KvCoder
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_XVR_Samza/ws/src/sdks/python/pytest_xlangSqlValidateRunner.xml>
 -
============ 6 failed, 3 passed, 5008 deselected in 137.23 seconds =============

> Task :runners:samza:job-server:validatesCrossLanguageRunnerPythonUsingSql 
> FAILED

> Task :runners:samza:job-server:validatesCrossLanguageRunnerCleanup
Stopping expansion service pid: 15010.
Stopping expansion service pid: 15014.

> Task :runners:samza:job-server:samzaJobServerCleanup
Stopping job server pid: 17798.

FAILURE: Build completed with 3 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task 
':runners:samza:job-server:validatesCrossLanguageRunnerPythonUsingJava'.
> 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.
-----------
* What went wrong:
Execution failed for task 
':runners:samza:job-server:validatesCrossLanguageRunnerPythonUsingPython'.
> 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.
-----------
* What went wrong:
Execution failed for task 
':runners:samza:job-server:validatesCrossLanguageRunnerPythonUsingSql'.
> 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/6.9.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 30m 54s
211 actionable tasks: 154 executed, 50 from cache, 7 up-to-date

Publishing build scan...
https://gradle.com/s/57dig3wjgsbxw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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