gatorsmile commented on a change in pull request #23391: [SPARK-26456][SQL] Cast date/timestamp to string by Date/TimestampFormatter URL: https://github.com/apache/spark/pull/23391#discussion_r244671504
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala ########## @@ -230,7 +235,7 @@ object PartitioningUtils { // Once we get the string, we try to parse it and find the partition column and value. val maybeColumn = parsePartitionColumn(currentPath.getName, typeInference, userSpecifiedDataTypes, - validatePartitionColumns, timeZone) + validatePartitionColumns, timeZone, dateFormatter, timestampFormatter) Review comment: When the partition column is Date type, our parquet writer stores the date value as the directory name. Is that possible that our Spark could return a wrong result? For example, - Join two partitioned tables using the partitioned key column whose data type is Date. - One table is wrote by Spark 2.4 or prior, and another table is wrote by Spark 3.0 or later. - The partition columns contain the value before October 1582. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org