huaxingao commented on PR #47233:
URL: https://github.com/apache/spark/pull/47233#issuecomment-2253170537
I had an offline discussion with @cloud-fan. The proposed API is
```
spark
.update(tableName)
.set(...)
.where(...)
.execute()
```
The reason for having the `update` on `SparkSession` instead of on
`DataFrame` is that a DataFrame is not necessarily a table scan, so it's more
appropriate to place the `update` API on `SparkSession`.
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