Hi Dresende,
Nice work here. One thing I don't understand is how to apply data transformations when a DDL schema changes (to support production data changes).
For example, take the name column in the README's example.
name : { type : "text", required: true }
What if a requirement meant that this should split into 'first_name' and 'last_name' and these two new columns should use the data in name? So the name column would be split into tokens and the last token becomes last_name and the first token becomes the first_name. Let's say this code is in a helper module that exports nameTransformer().
first_name : { type : "text", required: true }
last_name : { type : "text", required: true }
How would we manage to call nameTransformer() in the lifecycle of dropping the name column and creating the two new columns?
Cheers,
Nicholas
Hi Dresende,
Nice work here. One thing I don't understand is how to apply data transformations when a DDL schema changes (to support production data changes).
For example, take the name column in the README's example.
What if a requirement meant that this should split into 'first_name' and 'last_name' and these two new columns should use the data in name? So the name column would be split into tokens and the last token becomes last_name and the first token becomes the first_name. Let's say this code is in a helper module that exports nameTransformer().
How would we manage to call nameTransformer() in the lifecycle of dropping the name column and creating the two new columns?
Cheers,
Nicholas