dev-goyal commented on issue #7832:
URL: https://github.com/apache/iceberg/issues/7832#issuecomment-1672186881
Facing the same issue here; `merge into` using iceberg does not appear to be
taking advantage of the bucketing.
Bucketing SQL:
`
spark.sql(
f"MERGE INTO ml_recommendations.ratings target "
f"USING (SELECT * FROM {temp_view}) source "
f" ON target.{bucket_col} = source.{bucket_col} "
f"WHEN MATCHED AND target.{v.RATING_STATE} IS NOT NULL THEN
UPDATE SET * "
f"WHEN NOT MATCHED THEN INSERT *",
).show()
`
Notice the two exchanges below:
<img width="557" alt="Screenshot 2023-08-09 at 2 35 04 PM"
src="https://github.com/apache/iceberg/assets/126589393/5e928e89-00ba-45b4-ac90-ee795160a691";>
<img width="793" alt="Screenshot 2023-08-09 at 2 37 18 PM"
src="https://github.com/apache/iceberg/assets/126589393/2eb3c899-028b-4b60-9bf6-7877779c1f7c";>
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