![]() ![]() Map the given tuple to the institution as destination in 'WriteToFiles' PTransform. Return customer_csv_record.encode(JobConfig.FILE_ENCODING)ĭef to_institution_destination(customers_with_institution: Tuple]]) -> str: The separator is added to a configuration fileĬustomer_csv_record: str = JobConfig.CSV_SEPARATOR.join(map(str, customer_dict.values())) Turns dictionary values into a comma-separated value formatted string ![]() Return header_field_names.encode(JobConfig.FILE_ENCODING)ĭef convert_dict_to_csv_record(self, customer_dict: Dict) -> bytes: Header_field_names: str = JobConfig.CSV_SEPARATOR.join(customer_dict.keys()) ![]() Return '\n'.encode(JobConfig.FILE_ENCODING)ĭef build_csv_header_file(self, customer_dict: Dict) -> bytes: Self._fh.write(self.get_csv_line_break())Ĭustomer_csv_entry = nvert_dict_to_csv_record(customer) Header_field_names: bytes = self.build_csv_header_file(customer) Raise InstitutionDestinationParamError('The institution destination param must be passed', err)ĭef write(self, customers_with_institution):Ĭustomers: Iterable] = customers_with_institutionįor index, customer in enumerate(customers, start=1): I have a requirement where I need to generate reports by fetching records from BigQuery table and writing the results into GCS bucket using Apache Beam in python.I wrote the pipeline as below - #Here I am converting the BigQuery output to 2 element tuple where elements are dictionaries for ex : I am new to Apache Beam, Dataflow and Python and any help would be appreciated. ![]()
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