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This is more of a question than a feature request.
Is there a tool to roll back an entire database to an older processing date?
If not, how should I go about implementing it? Are there Reladomo apis that I ought to be using?
Does this idea make sense?
I have an application where all tables are unitemporal. Each day, I get a file representing what the current data ought to be, and I have an application which transforms the data into the right form, converts it into Reladomo lists, and then uses DelegatingList#merge() to update the database.
While actively developing the application, I find it helpful to manually test by running the new code on one day's worth of data. In order to run this sort of test, I take a backup of the entire database and restore it each time I want to test the application.
It occurred to me that it would be helpful to have a tool that's aware of processing date that can roll back all the data to a previous state. It seems like it could be faster than my manual approach. Plus I sometimes forget to take the database backup.
I think the implementation would be something like:
Iterate through every temporal table Delete all rows where the rollback date is within [in, out)
Delete all rows where rollback date < in Update systemTo to be infinity for all rows where out < rollback date
Update systemTo to be infinity for all rows where the rollback date is within [in, out)
If nothing like this exists but it makes sense to build, I'd be happy to work on it.
Thanks in advance!
The text was updated successfully, but these errors were encountered:
[Sorry, this issue seemed to have fallen between the cracks]
I would be very careful formalizing this for a unitemporal usecase. In theory, the operation requested here is "illegal", that is, it cannot happen for real, production data. A "proper" rollback would create new entries in the chain, not a nuke of old entries.
Because this is not within the normal set of operations, I don't think it can be done efficiently with the existing API. The delete is straight forward (purgeAll on a list should do). The bulk update of processingDataTo should not work on a list object (but it may, as I don't recall any error checking around that).
For very large databases, this work may not be good to do in a single transaction (per table).
This is more of a question than a feature request.
I have an application where all tables are unitemporal. Each day, I get a file representing what the current data ought to be, and I have an application which transforms the data into the right form, converts it into Reladomo lists, and then uses DelegatingList#merge() to update the database.
While actively developing the application, I find it helpful to manually test by running the new code on one day's worth of data. In order to run this sort of test, I take a backup of the entire database and restore it each time I want to test the application.
It occurred to me that it would be helpful to have a tool that's aware of processing date that can roll back all the data to a previous state. It seems like it could be faster than my manual approach. Plus I sometimes forget to take the database backup.
I think the implementation would be something like:
Delete all rows where the rollback date is within [in, out)Update systemTo to be infinity for all rows where out < rollback dateIf nothing like this exists but it makes sense to build, I'd be happy to work on it.
Thanks in advance!
The text was updated successfully, but these errors were encountered: