HyukjinKwon commented on a change in pull request #33436:
URL: https://github.com/apache/spark/pull/33436#discussion_r673637001
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File path: docs/sql-migration-guide.md
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@@ -22,6 +22,10 @@ license: |
* Table of contents
{:toc}
+## Upgrading from Spark SQL 3.2 to 3.3
+
+ - Non-nullable schema was not supported properly in previous Spark version
so the output schema of `DataFrameReader.json(jsonDataset: Dataset[String])`
and `DataFrameReader.csv(csvDataset: Dataset[String])` became nullable which
also matches with `DataFrameReader.json(path: String)` and
`DataFrameReader.csv(path: String)`.
Review comment:
Let's rephrase a bit more and keep the sentence format consistent with
others. e.g.) Since Spark 3.3, blah blah .... In Spark 3.1 or earlier, blah
blah ...
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