v0.7.0 - Iceberg support!
Pre-release
Pre-release
With the introduction of PyIceberg, we can now create Iceberg tables.
Iceberg requires a catalog to store the table definition, so with this initial release, we support Iceberg tables in AWS Glue with the data on S3.
fake -n 10 pyint,user_name,date_this_year -f iceberg -C glue://default.iceberg_sample -o s3://YOUR_BUCEKT/iceberg/
With that command, faker-cli
will generate a 10-row dataset, upload it to S3 and create the table in the Glue Data Catalog. It assumes your AWS credentials are already setup with the necessary permissions.