cloud-fan commented on code in PR #44119:
URL: https://github.com/apache/spark/pull/44119#discussion_r1428617043
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sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriterV2.scala:
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@@ -167,6 +173,241 @@ final class DataFrameWriterV2[T] private[sql](table:
String, ds: Dataset[T])
runCommand(overwrite)
}
+ /**
+ * Specifies the merge condition.
+ *
+ * Sets the condition, provided as a `String`, to be used for merging data.
This condition
+ * is converted internally to a `Column` and used to determine how rows from
the source
+ * DataFrame are matched with rows in the target table.
+ *
+ * @param condition a `String` representing the merge condition.
+ * @return the current `DataFrameWriterV2` instance with the specified merge
condition set.
+ */
+ def on(condition: String): DataFrameWriterV2[T] = {
Review Comment:
Shall we add a new layer for merge APIs? e.g. `partitionedBy` returns
`CreateTableWriter`
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