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I'm using https://github.com/frictionlessdata/datapackage-pipelines-sql-driver to create a data pipeline where a data package is loaded to SQLite, transformed using into SQL and saved back as a data package with embedded CSV files. AFAIK, there's currently no easy way to perform this last step (get updated data from the database and save everything to a new fully-featured data package).
Overview
For now only
local
resources will be zipped - frictionlessdata/datapackage-py#18Also see this issue - frictionlessdata/datapackage-py#273 - we need to be able to stream to zip
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