samredai commented on a change in pull request #4463:
URL: https://github.com/apache/iceberg/pull/4463#discussion_r840580002
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File path: docs/spark/spark-writes.md
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@@ -311,7 +311,9 @@ distribution & sort order to Spark.
{{< /hint >}}
{{< hint info >}}
-Both global sort (`orderBy`/`sort`) and local sort (`sortWithinPartitions`)
work for the requirement.
+To write with SQL, both global sort (`ORDER BY`) and local sort (`SORT BY`)
work for the requirement.
Review comment:
"the requirement" was always a bit confusing to me here. What do you
think about this re-wording?
> With SQL, you can use `ORDER BY` to achieve global sorting or `SORT BY` to
achieve local sorting.
>
> With dataframes, you can use `orderBy`/`sort` to achieve global sorting or
`sortWithinPartitions` to achieve local sorting.
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