szehon-ho opened a new pull request, #49211:
URL: https://github.com/apache/spark/pull/49211
### What changes were proposed in this pull request?
Truncate(col, len) partition transform is not supported in SPJ.
It seems for generic multi-arg transforms, support was added for write
distribution and ordering in https://github.com/apache/spark/pull/37749 but
somehow storage-partition join does not support it despite the comment in :
https://github.com/apache/iceberg/blob/main/spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/sql/TestStoragePartitionedJoins.java#L129
This change extends SPJ support to transforms where there is 1 reference
(skipping literal). Note, it seems bucket (another instance of this) is
supported in SPJ via another mechanism, by having an explicit BucketTransform,
but not sure its necessary here.
### Why are the changes needed?
A join between tables partitioned by truncate transform, on the partition
column, do not benefit from skipping shuffle.
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
New unit test in KeyGroupedPartitioningSuite
### Was this patch authored or co-authored using generative AI tooling?
No
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