How to use the snowfakery.output_streams.SqlOutputStream function in snowfakery
To help you get started, we’ve selected a few snowfakery examples, based on popular ways it is used in public projects.
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SFDO-Tooling / CumulusCI / cumulusci / tasks / bulkdata / generate_from_yaml.py View on Github 
def generate_data(self, session, engine, base, num_records, current_batch_num):
output_stream = SqlOutputStream.from_connection(
session, engine, base, self.mappings
)
with open(self.yaml_file) as open_yaml_file:
summary = generate(
open_yaml_file, self.num_records, self.vars, output_stream
)
output_stream.close()
if self.generate_mapping_file:
with open(self.generate_mapping_file, "w+") as f:
yaml.safe_dump(
mapping_from_factory_templates(summary), f, sort_keys=False
)
f.close()snowfakery
Snowfakery is a tool for generating fake data that has relations between tables. Every row is faked data, but also unique and random, like a snowflake.
