Just tried that and still getting this:
---------------------------------------------------------------------------KeyError
Traceback (most recent call
last)<ipython-input-81-a936d3a5fa70> in <module>----> 1
bq_to_snowflake( 2 'ml-betterup.coach_search.distances',
3 'analytics.ml.coach_search_distances', 4 'master')
<ipython-input-78-096896321fde> in bq_to_snowflake(bq_table,
snow_table, git_branch) 138 ) 139 --> 140 result =
pipeline.run() 141 result.wait_until_finish() 142
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
run(self, test_runner_api) 512 # When possible, invoke a
round trip through the runner API. 513 if test_runner_api and
self._verify_runner_api_compatible():--> 514 return
Pipeline.from_runner_api( 515
self.to_runner_api(use_fake_coders=True), 516
self.runner,
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, runner, options, return_context,
allow_proto_holders) 890 requirements=proto.requirements)
891 root_transform_id, = proto.root_transform_ids--> 892
p.transforms_stack = [context.transforms.get_by_id(root_transform_id)]
893 # TODO(robertwb): These are only needed to continue
construction. Omit? 894 p.applied_labels = {
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
in get_by_id(self, id) 113 # type: (str) -> PortableObjectT
114 if id not in self._id_to_obj:--> 115 self._id_to_obj[id]
= self._obj_type.from_runner_api( 116
self._id_to_proto[id], self._pipeline_context) 117 return
self._id_to_obj[id]
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, context) 1277 result.parts = [] 1278
for transform_id in proto.subtransforms:-> 1279 part =
context.transforms.get_by_id(transform_id) 1280 part.parent =
result 1281 result.parts.append(part)
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
in get_by_id(self, id) 113 # type: (str) -> PortableObjectT
114 if id not in self._id_to_obj:--> 115 self._id_to_obj[id]
= self._obj_type.from_runner_api( 116
self._id_to_proto[id], self._pipeline_context) 117 return
self._id_to_obj[id]
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, context) 1277 result.parts = [] 1278
for transform_id in proto.subtransforms:-> 1279 part =
context.transforms.get_by_id(transform_id) 1280 part.parent =
result 1281 result.parts.append(part)
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
in get_by_id(self, id) 113 # type: (str) -> PortableObjectT
114 if id not in self._id_to_obj:--> 115 self._id_to_obj[id]
= self._obj_type.from_runner_api( 116
self._id_to_proto[id], self._pipeline_context) 117 return
self._id_to_obj[id]
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, context) 1277 result.parts = [] 1278
for transform_id in proto.subtransforms:-> 1279 part =
context.transforms.get_by_id(transform_id) 1280 part.parent =
result 1281 result.parts.append(part)
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
in get_by_id(self, id) 113 # type: (str) -> PortableObjectT
114 if id not in self._id_to_obj:--> 115 self._id_to_obj[id]
= self._obj_type.from_runner_api( 116
self._id_to_proto[id], self._pipeline_context) 117 return
self._id_to_obj[id]
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, context) 1277 result.parts = [] 1278
for transform_id in proto.subtransforms:-> 1279 part =
context.transforms.get_by_id(transform_id) 1280 part.parent =
result 1281 result.parts.append(part)
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
in get_by_id(self, id) 113 # type: (str) -> PortableObjectT
114 if id not in self._id_to_obj:--> 115 self._id_to_obj[id]
= self._obj_type.from_runner_api( 116
self._id_to_proto[id], self._pipeline_context) 117 return
self._id_to_obj[id]
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
from_runner_api(proto, context) 1216
is_python_side_input(side_input_tags[0]) if side_input_tags else
False) 1217 -> 1218 transform =
ptransform.PTransform.from_runner_api(proto, context) 1219 if
uses_python_sideinput_tags: 1220 # Ordering is important here.
~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/transforms/ptransform.py
in from_runner_api(cls, proto, context) 688 if proto is None or
proto.spec is None or not proto.spec.urn: 689 return None-->
690 parameter_type, constructor = cls._known_urns[proto.spec.urn]
691 692 try:
KeyError: 'beam:transform:write_files:v1'
On Fri, Nov 20, 2020 at 11:18 AM Brian Hulette <[email protected]> wrote:
> Hm try passing in the args as they would appear in
> `sys.argv`, PipelineOptions(['--experiments=use_runner_v2'])
>
> On Thu, Nov 19, 2020 at 12:14 PM Alan Krumholz <[email protected]>
> wrote:
>
>> How can I pass that flag using the SDK?
>> Tried this:
>>
>> pipeline = beam.Pipeline(options=PipelineOptions(experiments=
>>> ['use_runner_v2'], ...)
>>
>>
>> but still getting a similar error:
>>
>> ---------------------------------------------------------------------------KeyError
>> Traceback (most recent call
>> last)<ipython-input-69-a936d3a5fa70> in <module>----> 1 bq_to_snowflake(
>> 2 'ml-betterup.coach_search.distances', 3
>> 'analytics.ml.coach_search_distances', 4 'master')
>> <ipython-input-66-2b6bf3c9334b> in bq_to_snowflake(bq_table, snow_table,
>> git_branch) 138 ) 139 --> 140 result = pipeline.run() 141
>> result.wait_until_finish() 142
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> run(self, test_runner_api) 512 # When possible, invoke a round trip
>> through the runner API. 513 if test_runner_api and
>> self._verify_runner_api_compatible():--> 514 return
>> Pipeline.from_runner_api( 515
>> self.to_runner_api(use_fake_coders=True), 516 self.runner,
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, runner, options, return_context, allow_proto_holders)
>> 890 requirements=proto.requirements) 891
>> root_transform_id, = proto.root_transform_ids--> 892 p.transforms_stack
>> = [context.transforms.get_by_id(root_transform_id)] 893 #
>> TODO(robertwb): These are only needed to continue construction. Omit? 894
>> p.applied_labels = {
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>> in get_by_id(self, id) 113 # type: (str) -> PortableObjectT 114
>> if id not in self._id_to_obj:--> 115 self._id_to_obj[id] =
>> self._obj_type.from_runner_api( 116 self._id_to_proto[id],
>> self._pipeline_context) 117 return self._id_to_obj[id]
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, context) 1277 result.parts = [] 1278 for
>> transform_id in proto.subtransforms:-> 1279 part =
>> context.transforms.get_by_id(transform_id) 1280 part.parent = result
>> 1281 result.parts.append(part)
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>> in get_by_id(self, id) 113 # type: (str) -> PortableObjectT 114
>> if id not in self._id_to_obj:--> 115 self._id_to_obj[id] =
>> self._obj_type.from_runner_api( 116 self._id_to_proto[id],
>> self._pipeline_context) 117 return self._id_to_obj[id]
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, context) 1277 result.parts = [] 1278 for
>> transform_id in proto.subtransforms:-> 1279 part =
>> context.transforms.get_by_id(transform_id) 1280 part.parent = result
>> 1281 result.parts.append(part)
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>> in get_by_id(self, id) 113 # type: (str) -> PortableObjectT 114
>> if id not in self._id_to_obj:--> 115 self._id_to_obj[id] =
>> self._obj_type.from_runner_api( 116 self._id_to_proto[id],
>> self._pipeline_context) 117 return self._id_to_obj[id]
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, context) 1277 result.parts = [] 1278 for
>> transform_id in proto.subtransforms:-> 1279 part =
>> context.transforms.get_by_id(transform_id) 1280 part.parent = result
>> 1281 result.parts.append(part)
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>> in get_by_id(self, id) 113 # type: (str) -> PortableObjectT 114
>> if id not in self._id_to_obj:--> 115 self._id_to_obj[id] =
>> self._obj_type.from_runner_api( 116 self._id_to_proto[id],
>> self._pipeline_context) 117 return self._id_to_obj[id]
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, context) 1277 result.parts = [] 1278 for
>> transform_id in proto.subtransforms:-> 1279 part =
>> context.transforms.get_by_id(transform_id) 1280 part.parent = result
>> 1281 result.parts.append(part)
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>> in get_by_id(self, id) 113 # type: (str) -> PortableObjectT 114
>> if id not in self._id_to_obj:--> 115 self._id_to_obj[id] =
>> self._obj_type.from_runner_api( 116 self._id_to_proto[id],
>> self._pipeline_context) 117 return self._id_to_obj[id]
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py in
>> from_runner_api(proto, context) 1216
>> is_python_side_input(side_input_tags[0]) if side_input_tags else False)
>> 1217 -> 1218 transform = ptransform.PTransform.from_runner_api(proto,
>> context) 1219 if uses_python_sideinput_tags: 1220 # Ordering
>> is important here.
>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/transforms/ptransform.py
>> in from_runner_api(cls, proto, context) 688 if proto is None or
>> proto.spec is None or not proto.spec.urn: 689 return None--> 690
>> parameter_type, constructor = cls._known_urns[proto.spec.urn] 691
>> 692 try:
>> KeyError: 'beam:transform:write_files:v1'
>>
>>
>>
>> On Thu, Nov 19, 2020 at 2:18 PM Brian Hulette <[email protected]>
>> wrote:
>>
>>> Ah ok, you'll need to use Dataflow runner v2 [1] to run this pipeline
>>> (add the flag '--experiments=use_runner_v2'). See also [2].
>>>
>>> [1]
>>> https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#python_11
>>> [2]
>>> https://cloud.google.com/blog/products/data-analytics/multi-language-sdks-for-building-cloud-pipelines
>>>
>>> On Thu, Nov 19, 2020 at 11:10 AM Alan Krumholz <
>>> [email protected]> wrote:
>>>
>>>> DataFlow runner
>>>>
>>>> On Thu, Nov 19, 2020 at 2:00 PM Brian Hulette <[email protected]>
>>>> wrote:
>>>>
>>>>> Hm what runner are you using? It looks like we're trying to encode and
>>>>> decode the pipeline proto, which isn't possible for a multi-language
>>>>> pipeline. Are you using a portable runner?
>>>>>
>>>>> Brian
>>>>>
>>>>> On Thu, Nov 19, 2020 at 10:42 AM Alan Krumholz <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> got it, thanks!
>>>>>> I was using:
>>>>>> 'xxxxxx.us-east-1'
>>>>>> Seems using this instead fixes that problem:
>>>>>> 'xxxxxx.us-east-1.snowflakecomputing.com
>>>>>>
>>>>>> I'm now hitting a different error though (now in python):
>>>>>>
>>>>>> <ipython-input-42-b27732a0a892> in bq_to_snowflake(bq_table,
>>>>>>> snow_table, git_branch)
>>>>>>> 161 )
>>>>>>> 162
>>>>>>> --> 163 result = pipeline.run()
>>>>>>> 164 result.wait_until_finish()
>>>>>>> 165
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in run(self, test_runner_api)
>>>>>>> 512 # When possible, invoke a round trip through the runner API.
>>>>>>> 513 if test_runner_api and self._verify_runner_api_compatible():
>>>>>>> --> 514 return Pipeline.from_runner_api( 515 self.to_runner_api(
>>>>>>> use_fake_coders=True),
>>>>>>> 516 self.runner,
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, runner, options, return_context,
>>>>>>> allow_proto_holders)
>>>>>>> 890 requirements=proto.requirements)
>>>>>>> 891 root_transform_id, = proto.root_transform_ids
>>>>>>> --> 892 p.transforms_stack = [context.transforms.get_by_id(
>>>>>>> root_transform_id)]
>>>>>>> 893 # TODO(robertwb): These are only needed to continue
>>>>>>> construction. Omit?
>>>>>>> 894 p.applied_labels = {
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>>>>>>> in get_by_id(self, id)
>>>>>>> 113 # type: (str) -> PortableObjectT
>>>>>>> 114 if id not in self._id_to_obj:
>>>>>>> --> 115 self._id_to_obj[id] = self._obj_type.from_runner_api( 116
>>>>>>> self._id_to_proto[id], self._pipeline_context)
>>>>>>> 117 return self._id_to_obj[id]
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, context)
>>>>>>> 1277 result.parts = []
>>>>>>> 1278 for transform_id in proto.subtransforms:
>>>>>>> -> 1279 part = context.transforms.get_by_id(transform_id)
>>>>>>> 1280 part.parent = result
>>>>>>> 1281 result.parts.append(part)
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>>>>>>> in get_by_id(self, id)
>>>>>>> 113 # type: (str) -> PortableObjectT
>>>>>>> 114 if id not in self._id_to_obj:
>>>>>>> --> 115 self._id_to_obj[id] = self._obj_type.from_runner_api( 116
>>>>>>> self._id_to_proto[id], self._pipeline_context)
>>>>>>> 117 return self._id_to_obj[id]
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, context)
>>>>>>> 1277 result.parts = []
>>>>>>> 1278 for transform_id in proto.subtransforms:
>>>>>>> -> 1279 part = context.transforms.get_by_id(transform_id)
>>>>>>> 1280 part.parent = result
>>>>>>> 1281 result.parts.append(part)
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>>>>>>> in get_by_id(self, id)
>>>>>>> 113 # type: (str) -> PortableObjectT
>>>>>>> 114 if id not in self._id_to_obj:
>>>>>>> --> 115 self._id_to_obj[id] = self._obj_type.from_runner_api( 116
>>>>>>> self._id_to_proto[id], self._pipeline_context)
>>>>>>> 117 return self._id_to_obj[id]
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, context)
>>>>>>> 1277 result.parts = []
>>>>>>> 1278 for transform_id in proto.subtransforms:
>>>>>>> -> 1279 part = context.transforms.get_by_id(transform_id)
>>>>>>> 1280 part.parent = result
>>>>>>> 1281 result.parts.append(part)
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>>>>>>> in get_by_id(self, id)
>>>>>>> 113 # type: (str) -> PortableObjectT
>>>>>>> 114 if id not in self._id_to_obj:
>>>>>>> --> 115 self._id_to_obj[id] = self._obj_type.from_runner_api( 116
>>>>>>> self._id_to_proto[id], self._pipeline_context)
>>>>>>> 117 return self._id_to_obj[id]
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, context)
>>>>>>> 1277 result.parts = []
>>>>>>> 1278 for transform_id in proto.subtransforms:
>>>>>>> -> 1279 part = context.transforms.get_by_id(transform_id)
>>>>>>> 1280 part.parent = result
>>>>>>> 1281 result.parts.append(part)
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/runners/pipeline_context.py
>>>>>>> in get_by_id(self, id)
>>>>>>> 113 # type: (str) -> PortableObjectT
>>>>>>> 114 if id not in self._id_to_obj:
>>>>>>> --> 115 self._id_to_obj[id] = self._obj_type.from_runner_api( 116
>>>>>>> self._id_to_proto[id], self._pipeline_context)
>>>>>>> 117 return self._id_to_obj[id]
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/pipeline.py
>>>>>>> in from_runner_api(proto, context)
>>>>>>> 1216 is_python_side_input(side_input_tags[0]) if side_input_tags
>>>>>>> else False)
>>>>>>> 1217
>>>>>>> -> 1218 transform = ptransform.PTransform.from_runner_api(proto,
>>>>>>> context)
>>>>>>> 1219 if uses_python_sideinput_tags:
>>>>>>> 1220 # Ordering is important here.
>>>>>>> ~/opt/anaconda3/lib/python3.8/site-packages/apache_beam/transforms/ptransform.py
>>>>>>> in from_runner_api(cls, proto, context)
>>>>>>> 688 if proto is None or proto.spec is None or not proto.spec.urn:
>>>>>>> 689 return None
>>>>>>> --> 690 parameter_type, constructor = cls._known_urns[proto.spec.urn
>>>>>>> ]
>>>>>>> 691
>>>>>>> 692 try: KeyError: 'beam:transform:write_files:v1'
>>>>>>
>>>>>>
>>>>>>
>>>>>> I'll keep trying to make this work but sharing it in case you can
>>>>>> easily see what the problem is
>>>>>>
>>>>>> Thanks so much!
>>>>>>
>>>>>> On Thu, Nov 19, 2020 at 1:30 PM Brian Hulette <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi Alan,
>>>>>>> Sorry this error message is so verbose. What are you passing for the
>>>>>>> server_name argument [1]? It looks like that's what the Java stacktrace
>>>>>>> is
>>>>>>> complaining about:
>>>>>>>
>>>>>>> java.lang.IllegalArgumentException: serverName must be in format
>>>>>>> <account_name>.snowflakecomputing.com
>>>>>>>
>>>>>>> [1]
>>>>>>> https://github.com/apache/beam/blob/master/sdks/python/apache_beam/io/snowflake.py#L302
>>>>>>>
>>>>>>> On Thu, Nov 19, 2020 at 10:16 AM Alan Krumholz <
>>>>>>> [email protected]> wrote:
>>>>>>>
>>>>>>>> I'm trying to replace my custom/problematic snowflake sink with the
>>>>>>>> new:
>>>>>>>> https://beam.apache.org/documentation/io/built-in/snowflake/#writing-to-snowflake
>>>>>>>>
>>>>>>>> However when I try to run my pipeline (using python) I get this
>>>>>>>> Java error:
>>>>>>>>
>>>>>>>> RuntimeError: java.lang.RuntimeException: Failed to build
>>>>>>>>> transform beam:external:java:snowflake:write:v1 from spec urn:
>>>>>>>>> "beam:external:java:snowflake:write:v1"
>>>>>>>>
>>>>>>>>
>>>>>>>> It is hard to understand why it is failing from reading the partial
>>>>>>>> java error trace I get in the output:
>>>>>>>>
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader.lambda$knownTransforms$0(ExpansionService.java:130)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.expansion.service.ExpansionService$TransformProvider.apply(ExpansionService.java:357)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.expansion.service.ExpansionService.expand(ExpansionService.java:433)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.expansion.service.ExpansionService.expand(ExpansionService.java:488)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.model.expansion.v1.ExpansionServiceGrpc$MethodHandlers.invoke(ExpansionServiceGrpc.java:232)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:172)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:331)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:817)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.grpc.v1p26p0.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:123)
>>>>>>>>> at
>>>>>>>>> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1130)
>>>>>>>>> at
>>>>>>>>> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:630)
>>>>>>>>> at java.base/java.lang.Thread.run(Thread.java:832)
>>>>>>>>> Caused by: java.lang.IllegalArgumentException: serverName must be in
>>>>>>>>> format <account_name>.snowflakecomputing.com
>>>>>>>>> at
>>>>>>>>> org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkArgument(Preconditions.java:141)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.io.snowflake.SnowflakeIO$DataSourceConfiguration.withServerName(SnowflakeIO.java:1700)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.io.snowflake.crosslanguage.CrossLanguageConfiguration.getDataSourceConfiguration(CrossLanguageConfiguration.java:166)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.io.snowflake.crosslanguage.WriteBuilder.buildExternal(WriteBuilder.java:78)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.io.snowflake.crosslanguage.WriteBuilder.buildExternal(WriteBuilder.java:34)
>>>>>>>>> at
>>>>>>>>> org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader.lambda$knownTransforms$0(ExpansionService.java:125)
>>>>>>>>> ... 12 more
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> any clue how I can debug/fix this using python?
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
