You are viewing a plain text version of this content. The canonical link for it is here.
Posted to github@beam.apache.org by "claudevdm (via GitHub)" <gi...@apache.org> on 2025/06/25 17:45:53 UTC

[PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

claudevdm opened a new pull request, #35433:
URL: https://github.com/apache/beam/pull/35433

   This is to prepare a test that would if standard cloudpickle replaced dill in pickling "special types" [1]
   
   [1] https://github.com/apache/beam/blob/6ac5009dbfdfb32f558d90c8824e7e3ade04d618/sdks/python/apache_beam/coders/coder_impl.py#L529
   ------------------------
   
   Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily:
   
    - [ ] Mention the appropriate issue in your description (for example: `addresses #123`), if applicable. This will automatically add a link to the pull request in the issue. If you would like the issue to automatically close on merging the pull request, comment `fixes #<ISSUE NUMBER>` instead.
    - [ ] Update `CHANGES.md` with noteworthy changes.
    - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf).
   
   See the [Contributor Guide](https://beam.apache.org/contribute) for more tips on [how to make review process smoother](https://github.com/apache/beam/blob/master/CONTRIBUTING.md#make-the-reviewers-job-easier).
   
   To check the build health, please visit [https://github.com/apache/beam/blob/master/.test-infra/BUILD_STATUS.md](https://github.com/apache/beam/blob/master/.test-infra/BUILD_STATUS.md)
   
   GitHub Actions Tests Status (on master branch)
   ------------------------------------------------------------------------------------------------
   [![Build python source distribution and wheels](https://github.com/apache/beam/actions/workflows/build_wheels.yml/badge.svg?event=schedule&&?branch=master)](https://github.com/apache/beam/actions?query=workflow%3A%22Build+python+source+distribution+and+wheels%22+branch%3Amaster+event%3Aschedule)
   [![Python tests](https://github.com/apache/beam/actions/workflows/python_tests.yml/badge.svg?event=schedule&&?branch=master)](https://github.com/apache/beam/actions?query=workflow%3A%22Python+Tests%22+branch%3Amaster+event%3Aschedule)
   [![Java tests](https://github.com/apache/beam/actions/workflows/java_tests.yml/badge.svg?event=schedule&&?branch=master)](https://github.com/apache/beam/actions?query=workflow%3A%22Java+Tests%22+branch%3Amaster+event%3Aschedule)
   [![Go tests](https://github.com/apache/beam/actions/workflows/go_tests.yml/badge.svg?event=schedule&&?branch=master)](https://github.com/apache/beam/actions?query=workflow%3A%22Go+tests%22+branch%3Amaster+event%3Aschedule)
   
   See [CI.md](https://github.com/apache/beam/blob/master/CI.md) for more information about GitHub Actions CI or the [workflows README](https://github.com/apache/beam/blob/master/.github/workflows/README.md) to see a list of phrases to trigger workflows.
   


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #35433:
URL: https://github.com/apache/beam/pull/35433#discussion_r2167531174


##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):
+    """Test cross-process determinism for all special deterministic types"""
+    # pylint: disable=line-too-long
+    script = textwrap.dedent(
+        '''\
+        import pickle
+        import sys
+        import collections
+        import enum
+        import logging
+
+        from apache_beam.coders import coders
+        from apache_beam.coders import proto2_coder_test_messages_pb2 as test_message
+        from typing import NamedTuple
+
+        try:
+            import dataclasses
+        except ImportError:
+            dataclasses = None
+
+        logging.basicConfig(
+            level=logging.INFO,
+            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+            stream=sys.stderr,
+            force=True
+        )
+
+        # Define all the special types that encode_special_deterministic handles
+        MyNamedTuple = collections.namedtuple('A', ['x', 'y'])
+        MyTypedNamedTuple = NamedTuple('MyTypedNamedTuple', [('f1', int), ('f2', str)])
+
+        class MyEnum(enum.Enum):
+            E1 = 5
+            E2 = enum.auto()
+            E3 = 'abc'
+
+        MyIntEnum = enum.IntEnum('MyIntEnum', 'I1 I2 I3')
+        MyIntFlag = enum.IntFlag('MyIntFlag', 'F1 F2 F3')
+        MyFlag = enum.Flag('MyFlag', 'F1 F2 F3')
+
+        if dataclasses is not None:
+            @dataclasses.dataclass(frozen=True)
+            class FrozenDataClass:
+                a: int
+                b: int
+
+        class DefinesGetAndSetState:
+            def __init__(self, value):
+                self.value = value
+
+            def __getstate__(self):
+                return self.value
+
+            def __setstate__(self, value):
+                self.value = value
+
+            def __eq__(self, other):
+                return type(other) is type(self) and other.value == self.value
+        
+        # Test cases for all special deterministic types
+        # NOTE: When this script run in a subprocess the module is considered
+        #  __main__. Dill cannot pickle enums in __main__ because it
+        # needs to define a way to create the type if it does not exist
+        # in the session, and reaches recursion depth limits.
+        test_cases = [
+            ("proto_message", test_message.MessageA(field1='value')),
+            ("named_tuple_simple", MyNamedTuple(1, 2)),
+            ("typed_named_tuple", MyTypedNamedTuple(1, 'a')),
+            ("named_tuple_list", [MyNamedTuple(1, 2), MyTypedNamedTuple(1, 'a')]),
+            # ("enum_single", MyEnum.E1),
+            # ("enum_list", list(MyEnum)),
+            # ("int_enum_list", list(MyIntEnum)),
+            # ("int_flag_list", list(MyIntFlag)),
+            # ("flag_list", list(MyFlag)),
+            ("getstate_setstate_simple", DefinesGetAndSetState(1)),
+            ("getstate_setstate_complex", DefinesGetAndSetState((1, 2, 3))),
+            ("getstate_setstate_list", [DefinesGetAndSetState(1), DefinesGetAndSetState((1, 2, 3))]),
+        ]
+
+        if dataclasses is not None:
+            test_cases.extend([
+                ("frozen_dataclass", FrozenDataClass(1, 2)),
+                ("frozen_dataclass_list", [FrozenDataClass(1, 2), FrozenDataClass(3, 4)]),
+            ])
+
+        coder = coders.FastPrimitivesCoder()
+        deterministic_coder = coders.DeterministicFastPrimitivesCoder(coder, 'step')
+        
+        results = {}
+        for test_name, value in test_cases:
+            try:
+                encoded = deterministic_coder.encode(value)
+                results[test_name] = encoded
+            except Exception as e:
+              logging.warning("Encoding failed with %s", e)
+              sys.exit(1)
+        
+        sys.stdout.buffer.write(pickle.dumps(results))
+                
+        
+    ''')
+
+    def run_subprocess():
+      import subprocess
+      import sys
+
+      result = subprocess.run([sys.executable, '-c', script],
+                              capture_output=True,
+                              timeout=30,
+                              check=False)
+
+      self.assertEqual(
+          0, result.returncode, f"Subprocess failed: {result.stderr}")
+      return pickle.loads(result.stdout)
+
+    results1 = run_subprocess()
+    results2 = run_subprocess()
+
+    for test_name in results1:
+      data1 = results1[test_name]
+      data2 = results2[test_name]
+
+      self.assertEqual(

Review Comment:
   I added some more assertions for equality and instance semantics for the decoded types. I can add some more validation but I think decoding should fail if it is not empty?



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #35433:
URL: https://github.com/apache/beam/pull/35433#issuecomment-3005667315

   Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control. If you'd like to restart, comment `assign set of reviewers`


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "tvalentyn (via GitHub)" <gi...@apache.org>.
tvalentyn commented on PR #35433:
URL: https://github.com/apache/beam/pull/35433#issuecomment-3006075055

   ptal at test failures


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "tvalentyn (via GitHub)" <gi...@apache.org>.
tvalentyn commented on code in PR #35433:
URL: https://github.com/apache/beam/pull/35433#discussion_r2167584088


##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):

Review Comment:
   sure, that's a bit easier to read 



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on PR #35433:
URL: https://github.com/apache/beam/pull/35433#issuecomment-3411960944

   https://github.com/apache/beam/issues/21298


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "tvalentyn (via GitHub)" <gi...@apache.org>.
tvalentyn commented on code in PR #35433:
URL: https://github.com/apache/beam/pull/35433#discussion_r2167485596


##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):
+    """Test cross-process determinism for all special deterministic types"""
+    # pylint: disable=line-too-long
+    script = textwrap.dedent(
+        '''\
+        import pickle
+        import sys
+        import collections
+        import enum
+        import logging
+
+        from apache_beam.coders import coders
+        from apache_beam.coders import proto2_coder_test_messages_pb2 as test_message
+        from typing import NamedTuple
+
+        try:
+            import dataclasses
+        except ImportError:
+            dataclasses = None
+
+        logging.basicConfig(
+            level=logging.INFO,
+            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+            stream=sys.stderr,
+            force=True
+        )
+
+        # Define all the special types that encode_special_deterministic handles
+        MyNamedTuple = collections.namedtuple('A', ['x', 'y'])
+        MyTypedNamedTuple = NamedTuple('MyTypedNamedTuple', [('f1', int), ('f2', str)])
+
+        class MyEnum(enum.Enum):
+            E1 = 5
+            E2 = enum.auto()
+            E3 = 'abc'
+
+        MyIntEnum = enum.IntEnum('MyIntEnum', 'I1 I2 I3')
+        MyIntFlag = enum.IntFlag('MyIntFlag', 'F1 F2 F3')
+        MyFlag = enum.Flag('MyFlag', 'F1 F2 F3')
+
+        if dataclasses is not None:
+            @dataclasses.dataclass(frozen=True)
+            class FrozenDataClass:
+                a: int
+                b: int
+
+        class DefinesGetAndSetState:
+            def __init__(self, value):
+                self.value = value
+
+            def __getstate__(self):
+                return self.value
+
+            def __setstate__(self, value):
+                self.value = value
+
+            def __eq__(self, other):
+                return type(other) is type(self) and other.value == self.value
+        
+        # Test cases for all special deterministic types
+        # NOTE: When this script run in a subprocess the module is considered
+        #  __main__. Dill cannot pickle enums in __main__ because it
+        # needs to define a way to create the type if it does not exist
+        # in the session, and reaches recursion depth limits.
+        test_cases = [
+            ("proto_message", test_message.MessageA(field1='value')),
+            ("named_tuple_simple", MyNamedTuple(1, 2)),
+            ("typed_named_tuple", MyTypedNamedTuple(1, 'a')),
+            ("named_tuple_list", [MyNamedTuple(1, 2), MyTypedNamedTuple(1, 'a')]),
+            # ("enum_single", MyEnum.E1),
+            # ("enum_list", list(MyEnum)),
+            # ("int_enum_list", list(MyIntEnum)),
+            # ("int_flag_list", list(MyIntFlag)),
+            # ("flag_list", list(MyFlag)),
+            ("getstate_setstate_simple", DefinesGetAndSetState(1)),
+            ("getstate_setstate_complex", DefinesGetAndSetState((1, 2, 3))),
+            ("getstate_setstate_list", [DefinesGetAndSetState(1), DefinesGetAndSetState((1, 2, 3))]),
+        ]
+
+        if dataclasses is not None:
+            test_cases.extend([
+                ("frozen_dataclass", FrozenDataClass(1, 2)),
+                ("frozen_dataclass_list", [FrozenDataClass(1, 2), FrozenDataClass(3, 4)]),
+            ])
+
+        coder = coders.FastPrimitivesCoder()
+        deterministic_coder = coders.DeterministicFastPrimitivesCoder(coder, 'step')
+        
+        results = {}
+        for test_name, value in test_cases:
+            try:
+                encoded = deterministic_coder.encode(value)
+                results[test_name] = encoded
+            except Exception as e:
+              logging.warning("Encoding failed with %s", e)
+              sys.exit(1)
+        
+        sys.stdout.buffer.write(pickle.dumps(results))
+                
+        
+    ''')
+
+    def run_subprocess():
+      import subprocess
+      import sys
+
+      result = subprocess.run([sys.executable, '-c', script],
+                              capture_output=True,
+                              timeout=30,
+                              check=False)
+
+      self.assertEqual(
+          0, result.returncode, f"Subprocess failed: {result.stderr}")
+      return pickle.loads(result.stdout)
+
+    results1 = run_subprocess()
+    results2 = run_subprocess()
+
+    for test_name in results1:
+      data1 = results1[test_name]
+      data2 = results2[test_name]
+
+      self.assertEqual(

Review Comment:
   should we add an assertion that the output is not empty?



##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):
+    """Test cross-process determinism for all special deterministic types"""
+    # pylint: disable=line-too-long
+    script = textwrap.dedent(
+        '''\
+        import pickle
+        import sys
+        import collections
+        import enum
+        import logging
+
+        from apache_beam.coders import coders
+        from apache_beam.coders import proto2_coder_test_messages_pb2 as test_message
+        from typing import NamedTuple
+
+        try:
+            import dataclasses
+        except ImportError:
+            dataclasses = None
+
+        logging.basicConfig(
+            level=logging.INFO,
+            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+            stream=sys.stderr,
+            force=True
+        )
+
+        # Define all the special types that encode_special_deterministic handles
+        MyNamedTuple = collections.namedtuple('A', ['x', 'y'])
+        MyTypedNamedTuple = NamedTuple('MyTypedNamedTuple', [('f1', int), ('f2', str)])
+
+        class MyEnum(enum.Enum):
+            E1 = 5
+            E2 = enum.auto()
+            E3 = 'abc'
+
+        MyIntEnum = enum.IntEnum('MyIntEnum', 'I1 I2 I3')
+        MyIntFlag = enum.IntFlag('MyIntFlag', 'F1 F2 F3')
+        MyFlag = enum.Flag('MyFlag', 'F1 F2 F3')
+
+        if dataclasses is not None:
+            @dataclasses.dataclass(frozen=True)
+            class FrozenDataClass:
+                a: int
+                b: int
+
+        class DefinesGetAndSetState:
+            def __init__(self, value):
+                self.value = value
+
+            def __getstate__(self):
+                return self.value
+
+            def __setstate__(self, value):
+                self.value = value
+
+            def __eq__(self, other):
+                return type(other) is type(self) and other.value == self.value
+        
+        # Test cases for all special deterministic types
+        # NOTE: When this script run in a subprocess the module is considered
+        #  __main__. Dill cannot pickle enums in __main__ because it
+        # needs to define a way to create the type if it does not exist
+        # in the session, and reaches recursion depth limits.
+        test_cases = [
+            ("proto_message", test_message.MessageA(field1='value')),
+            ("named_tuple_simple", MyNamedTuple(1, 2)),
+            ("typed_named_tuple", MyTypedNamedTuple(1, 'a')),
+            ("named_tuple_list", [MyNamedTuple(1, 2), MyTypedNamedTuple(1, 'a')]),
+            # ("enum_single", MyEnum.E1),

Review Comment:
   is this commening-out intentional?



##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):

Review Comment:
   could you think of a test name that describes the scenario and it's expected outcome? 
   
   see: https://g3doc.corp.google.com/eng/doc/devguide/testing/unit/best-practices.md?cl=head&polyglot=python#naming



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on PR #35433:
URL: https://github.com/apache/beam/pull/35433#issuecomment-3005665004

   R: @tvalentyn 


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #35433:
URL: https://github.com/apache/beam/pull/35433#discussion_r2167526959


##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):
+    """Test cross-process determinism for all special deterministic types"""
+    # pylint: disable=line-too-long
+    script = textwrap.dedent(
+        '''\
+        import pickle
+        import sys
+        import collections
+        import enum
+        import logging
+
+        from apache_beam.coders import coders
+        from apache_beam.coders import proto2_coder_test_messages_pb2 as test_message
+        from typing import NamedTuple
+
+        try:
+            import dataclasses
+        except ImportError:
+            dataclasses = None
+
+        logging.basicConfig(
+            level=logging.INFO,
+            format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+            stream=sys.stderr,
+            force=True
+        )
+
+        # Define all the special types that encode_special_deterministic handles
+        MyNamedTuple = collections.namedtuple('A', ['x', 'y'])
+        MyTypedNamedTuple = NamedTuple('MyTypedNamedTuple', [('f1', int), ('f2', str)])
+
+        class MyEnum(enum.Enum):
+            E1 = 5
+            E2 = enum.auto()
+            E3 = 'abc'
+
+        MyIntEnum = enum.IntEnum('MyIntEnum', 'I1 I2 I3')
+        MyIntFlag = enum.IntFlag('MyIntFlag', 'F1 F2 F3')
+        MyFlag = enum.Flag('MyFlag', 'F1 F2 F3')
+
+        if dataclasses is not None:
+            @dataclasses.dataclass(frozen=True)
+            class FrozenDataClass:
+                a: int
+                b: int
+
+        class DefinesGetAndSetState:
+            def __init__(self, value):
+                self.value = value
+
+            def __getstate__(self):
+                return self.value
+
+            def __setstate__(self, value):
+                self.value = value
+
+            def __eq__(self, other):
+                return type(other) is type(self) and other.value == self.value
+        
+        # Test cases for all special deterministic types
+        # NOTE: When this script run in a subprocess the module is considered
+        #  __main__. Dill cannot pickle enums in __main__ because it
+        # needs to define a way to create the type if it does not exist
+        # in the session, and reaches recursion depth limits.
+        test_cases = [
+            ("proto_message", test_message.MessageA(field1='value')),
+            ("named_tuple_simple", MyNamedTuple(1, 2)),
+            ("typed_named_tuple", MyTypedNamedTuple(1, 'a')),
+            ("named_tuple_list", [MyNamedTuple(1, 2), MyTypedNamedTuple(1, 'a')]),
+            # ("enum_single", MyEnum.E1),

Review Comment:
   Yes In the NOTE section I mention dill breaks when trying to pickle enums defined in main (which is the module when running the script in subprocess). I will uncomment when we switch to cloudpickle which does not fail.



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


Re: [PR] Add cross-process determinism check for DeterministicFastPrimitivesCoder. [beam]

Posted by "claudevdm (via GitHub)" <gi...@apache.org>.
claudevdm commented on code in PR #35433:
URL: https://github.com/apache/beam/pull/35433#discussion_r2167532400


##########
sdks/python/apache_beam/coders/coders_test_common.py:
##########
@@ -606,6 +608,131 @@ def test_param_windowed_value_coder(self):
                 1, (window.IntervalWindow(11, 21), ),
                 PaneInfo(True, False, 1, 2, 3))))
 
+  def test_cross_process_deterministic_special_types(self):

Review Comment:
   test_cross_process_encoding_of_special_types_is_deterministic ?



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: github-unsubscribe@beam.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org