[GitHub] [spark] cloud-fan commented on a change in pull request #24330: [SPARK-27422][SQL] current_date() should return current date in the session time zone

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cloud-fan commented on a change in pull request #24330: [SPARK-27422][SQL] current_date() should return current date in the session time zone
URL: https://github.com/apache/spark/pull/24330#discussion_r273762875
 
 

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 File path: docs/sql-migration-guide-upgrade.md
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 @@ -118,9 +118,7 @@ license: |
 
   - In Spark version 2.4 and earlier, the `current_timestamp` function returns a timestamp with millisecond resolution only. Since Spark 3.0, the function can return the result with microsecond resolution if the underlying clock available on the system offers such resolution.
 
-  - In Spark version 2.4 and earlier, when reading a Hive Serde table with Spark native data sources(parquet/orc), Spark will infer the actual file schema and update the table schema in metastore. Since Spark 3.0, Spark doesn't infer the schema anymore. This should not cause any problems to end users, but if it does, please set `spark.sql.hive.caseSensitiveInferenceMode` to `INFER_AND_SAVE`.
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-  - In Spark version 2.4 and earlier, the `current_date` function returns the current date shifted according to the SQL config `spark.sql.session.timeZone`. Since Spark 3.0, the function always returns the current date in the `UTC` time zone.
+  - In Spark version 2.4 abd earlier, when reading a Hive Serde table with Spark native data sources(parquet/orc), Spark will infer the actual file schema and update the table schema in metastore. Since Spark 3.0, Spark doesn't infer the schema anymore. This should not cause any problems to end users, but if it does, please set `spark.sql.hive.caseSensitiveInferenceMode` to `INFER_AND_SAVE`.
 
 Review comment:
   can we keep this typo fix?

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