Help us improve Gearset
We love getting feedback from our users on how we can make Gearset even better. Post your ideas for improvements, new features, and bug fixes alike, and vote for others – let us know what’s important to you.
85 results found
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Preserve auto-number field values during a data deployment
Staging environments typically exist with integrations with other systems that have references to auto-number fields
Data deployment re-evaluates auto-number fields instead of keeping the values of the source.If data deployment jobs could automate the following it would probably work
1. changing the type of the auto-number field to text in the target org
2. potentially removing apex references to the field
3. deploying the data
4. rolling back metadata modifications in steps 1 and 21 vote -
Add problem analyzers to the data deployment app
Much like the problem analyzers for metadata deployments in Gearset, it would be great if you could add a problem analysis feature for data deployments after having configured what you want to deploy.
Some scenarios will almost certainly cause the data deployment to either totally fail or only partially deploy some of the records and skip records it can't deploy. Providing automatic fixes (e.g. choosing not to include duplicates) would improve the number of deployments that work 100% of the time.
2 votes -
Delete records from the target org during a data deployment
Provide options to delete records from Target Org. This will help clean up of test data and reload from Source.
19 votes -
Select all objects in a data deployment
It would be useful to select all objects in the data deploy screen to make it faster to select a large number of objects (even better would be the ability to group objects and select whole groups at once)
6 votes -
Trigger a data deployment from a CI job
When we pull down a version between our local and staging environments. We would like to also automatically pull in the testing data from another project.
As one of the things we are trying to setup is taking a version from Prod then running GhostInspector through our core flows. Ideally every 4 hours we take a backup from metadata + locked down actual data. Then run tests against it.
3 votes
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