[SPARK-41668][SQL] DECODE function returns wrong results when passed NULL #39163
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
What changes were proposed in this pull request?
The DECODE function was implemented for Oracle compatibility. It works similar to CASE expression, but it is supposed to have one major difference: NULL == NULL
https://docs.oracle.com/database/121/SQLRF/functions057.htm#SQLRF00631
The Spark implementation does not observe this, however:
The result is supposed to be 'SQL'. This PR is to fix the issue.
Why are the changes needed?
Bug fix and Oracle compatibility.
Does this PR introduce any user-facing change?
Yes, DECODE function will return matched value when passed null, instead of always returning null.
How was this patch tested?
New UT.