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 <bhule...@google.com> 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 <alan.krumh...@betterup.co> > 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? >> >> >> >>