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As a DaaP developer
I want the data lake buckets to be cleared out of any previous iterations of data structures
So that any data in the buckets is relevant to the current state of the catalogue
Definition of Done
Example
Delete items in the data and landing buckets that is versioned with minor versions rather than major versions, i.e. test_product/v1.0/ rather than test_product/v1/
Delete Glue databases in the awsdatacatalog data catalogue that belong to previous versions of Data Products but don't have the suffix _vX
The text was updated successfully, but these errors were encountered:
There are old versions of s3 keys in the data buckets. If we want to completely purge data when we delete, we need to modify any deletion methods to also remove versions. Alternatively we could use the NoncurrentVersionExpiration action element of a lifecycle policy rule to delete previous versions of data automatically after X amount of time
Note: it is not possible to retrieve information about the glue databases with the sandbox account other than using the aws console due to lack of permissions:
User Story
As a DaaP developer
I want the data lake buckets to be cleared out of any previous iterations of data structures
So that any data in the buckets is relevant to the current state of the catalogue
Definition of Done
Example
data
andlanding
buckets that is versioned with minor versions rather than major versions, i.e.test_product/v1.0/
rather thantest_product/v1/
awsdatacatalog
data catalogue that belong to previous versions of Data Products but don't have the suffix_vX
The text was updated successfully, but these errors were encountered: