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Currently, the unit testing framework in core uses the safe_cast utils macro to convert a user-provided value for an input mock to the appropriate type. In some instances, this safe_cast may fail and need special handling depending on the type.
The acceptance criteria for this issue is to introduce a test that provides coverage across all primative input types (and arrays & objects if possible!) for unit testing input data, potentially updating the safe_cast macro as necessary.
BaseUnitTestCaseInsensivity
TestSparkUnitTestInvalidInput
Describe alternatives you've considered
n/a
Who will this benefit?
dbt users of dbt-spark or adapters that extend dbt-spark :)
Are you interested in contributing this feature?
yep!
Anything else?
N/A
The text was updated successfully, but these errors were encountered:
Is this your first time submitting a feature request?
Describe the feature
Add spark-specific tests that implement the 3 base unit testing functional tests:
Describe alternatives you've considered
n/a
Who will this benefit?
dbt users of dbt-spark or adapters that extend dbt-spark :)
Are you interested in contributing this feature?
yep!
Anything else?
N/A
The text was updated successfully, but these errors were encountered: