Mixing
Beam pipeline on Dataflow runner failed with import of module Protobuf output metrics_pb2.py failed
To validate the message structure before publishing to Pub/Sub and after consuming from Pub/Sub I use Protobuf messages. The same protobuf compiled output metrics_pb2.py is inside both publisher Python app and subscriber Beam App.
My Beam pipeline works on my local without any problem.
But when I try to run it on Google Dataflow, I got this error
PicklingError: Can't pickle <class 'metrics_pb2.MetricGlucose'>: import of module metrics_pb2 failed
Even I have a multi module data pipeline and I am using a setup.py file, and all other modules can be found by pipeline, I don't know why pipeline cannot see those protobuf compiled output files.
Any idea?
python google-cloud-platform protocol-buffers google-cloud-dataflow apache-beam
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
add a comment |
To validate the message structure before publishing to Pub/Sub and after consuming from Pub/Sub I use Protobuf messages. The same protobuf compiled output metrics_pb2.py is inside both publisher Python app and subscriber Beam App.
My Beam pipeline works on my local without any problem.
But when I try to run it on Google Dataflow, I got this error
PicklingError: Can't pickle <class 'metrics_pb2.MetricGlucose'>: import of module metrics_pb2 failed
Even I have a multi module data pipeline and I am using a setup.py file, and all other modules can be found by pipeline, I don't know why pipeline cannot see those protobuf compiled output files.
Any idea?
python google-cloud-platform protocol-buffers google-cloud-dataflow apache-beam
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
add a comment |
To validate the message structure before publishing to Pub/Sub and after consuming from Pub/Sub I use Protobuf messages. The same protobuf compiled output metrics_pb2.py is inside both publisher Python app and subscriber Beam App.
My Beam pipeline works on my local without any problem.
But when I try to run it on Google Dataflow, I got this error
PicklingError: Can't pickle <class 'metrics_pb2.MetricGlucose'>: import of module metrics_pb2 failed
Even I have a multi module data pipeline and I am using a setup.py file, and all other modules can be found by pipeline, I don't know why pipeline cannot see those protobuf compiled output files.
Any idea?
python google-cloud-platform protocol-buffers google-cloud-dataflow apache-beam
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
To validate the message structure before publishing to Pub/Sub and after consuming from Pub/Sub I use Protobuf messages. The same protobuf compiled output metrics_pb2.py is inside both publisher Python app and subscriber Beam App.
My Beam pipeline works on my local without any problem.
But when I try to run it on Google Dataflow, I got this error
PicklingError: Can't pickle <class 'metrics_pb2.MetricGlucose'>: import of module metrics_pb2 failed
Even I have a multi module data pipeline and I am using a setup.py file, and all other modules can be found by pipeline, I don't know why pipeline cannot see those protobuf compiled output files.
Any idea?
python google-cloud-platform protocol-buffers google-cloud-dataflow apache-beam
python google-cloud-platform protocol-buffers google-cloud-dataflow apache-beam
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
asked Nov 21 '18 at 17:18
Erdem AErdem A
93
93
add a comment |
add a comment |
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