Hi Cham, I'm guessing this means I won't be able to use Snowflake IO with python on dataflow until then? Is there a timeline for that work to be completed?
Thank you so much for your help On Fri, Nov 20, 2020 at 9:33 PM Chamikara Jayalath <[email protected]> wrote: > This is because Python does not understand that Java specific > "beam:transform:write_files:v1" transform. Hopefully this is one of those > issues that will get resolved when we update Dataflow to directly consume > portable protos (we are working on this now). > > Thanks, > Cham > > On Fri, Nov 20, 2020 at 11:14 AM Brian Hulette <[email protected]> > wrote: > >> +Chamikara Jayalath <[email protected]> any idea why this is still >> doing a runner api roundtrip and failing? It's a multi-language pipeline, >> and Alan has it configured to run on Dataflow runner V2. >> >> On Fri, Nov 20, 2020 at 10:36 AM Alan Krumholz <[email protected]> >> wrote: >> >>> 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? >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>>
