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[SPARK-35581][SPARK-36567][SQL][DOCS][FOLLOWUP] Update the SQL migration guide about foldable special datetime values #33840

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[SPARK-35581][SPARK-36567][SQL][DOCS][FOLLOWUP] Update the SQL migration guide about foldable special datetime values #33840

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2 changes: 1 addition & 1 deletion docs/sql-migration-guide.md
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- 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))`.
- In Spark 3.2, special datetime values such as `epoch`, `today`, `yesterday`, `tomorrow`, and `now` are supported in typed literals or in cast of foldable strings only, for instance, `select timestamp'now'` or `select cast('today' as date)`. 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))`.

- In Spark 3.2, `FloatType` is mapped to `FLOAT` in MySQL. Prior to this, it used to be mapped to `REAL`, which is by default a synonym to `DOUBLE PRECISION` in MySQL.

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