[SPARK-27829][SQL] In Dataset.joinWith() inner joins, don't nest data before shuffling #24693
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What changes were proposed in this pull request?
In order to support outer joins with null top-level objects, SPARK-15441 modified Dataset.joinWith to project both inputs into single-column structs prior to the join.
For inner joins, however, this step is unnecessary and actually harms performance: performing the nesting before the join increases the shuffled data size. As an optimization for inner joins only, we can move this nesting to occur after the join (effectively switching back to the pre-SPARK-15441 behavior; see #13425).
How was this patch tested?
Existing tests, which I strengthened to also make assertions about the join result's nullability (since this guards against a bug I almost introduced during prototyping).
Here's a quick
spark-shellexperiment demonstrating the reduction in shuffle size:With inner join (which benefits from this PR's optimization) we shuffle 546.9 KiB. With left outer join (whose plan hasn't changed, therefore being a representation of the state before this PR) we shuffle 859.4 KiB. Shuffle compression (which is enabled by default) narrows this gap a bit: with compression, outer joins shuffle about 12% more than inner joins.