MaxGekk commented on a change in pull request #32714:
URL: https://github.com/apache/spark/pull/32714#discussion_r643046775
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File path: docs/sql-migration-guide.md
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@@ -91,6 +91,8 @@ license: |
- In Spark 3.2, `CREATE TABLE AS SELECT` with non-empty `LOCATION` will
throw `AnalysisException`. To restore the behavior before Spark 3.2, you can
set `spark.sql.legacy.allowNonEmptyLocationInCTAS` to `true`.
+ - In Spark 3.2, special datetime values such as `epoch`, `today`,
`yesterday`, `tomorrow`, and `now` are supported in typed literals only, for
instance, `select timestamp'now'`. In Spark 3.1 and 3.0, such special values
are supported in any casts of strings to dates/timestamps. To keep these
special values as dates/timestamps in Spark 3.1 and 3.0, you should replace
them manually, e.g. `if (c in ('now', 'today'), current_date(), cast(c as
date))`.
Review comment:
@cloud-fan See the example:
```scala
scala> val df = Seq("now", "2021-01-19", "today").toDF("c")
df: org.apache.spark.sql.DataFrame = [c: string]
scala> df.selectExpr("if (c in ('now', 'today'), current_date(), cast(c as
date))").show(false)
+----------------------------------------------------------+
|(IF((c IN (now, today)), current_date(), CAST(c AS DATE)))|
+----------------------------------------------------------+
|2021-06-01 |
|2021-01-19 |
|2021-06-01 |
+----------------------------------------------------------+
```
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