gatorsmile commented on a change in pull request #27441: [SPARK-30668][SQL]
Support `SimpleDateFormat` patterns in parsing timestamps/dates strings
URL: https://github.com/apache/spark/pull/27441#discussion_r376021523
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/DateFunctionsSuite.scala
##########
@@ -789,4 +789,18 @@ class DateFunctionsSuite extends QueryTest with
SharedSparkSession {
Row(Timestamp.valueOf("2015-07-24 07:00:00")),
Row(Timestamp.valueOf("2015-07-24 22:00:00"))))
}
+
+ test("SPARK-30668: use legacy timestamp parser in to_timestamp") {
+ def checkTimeZoneParsing(expected: Any): Unit = {
+ val df = Seq("2020-01-27T20:06:11.847-0800").toDF("ts")
+ checkAnswer(df.select(to_timestamp(col("ts"),
"yyyy-MM-dd'T'HH:mm:ss.SSSz")),
+ Row(expected))
+ }
+ withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> "true") {
+ checkTimeZoneParsing(Timestamp.valueOf("2020-01-27 20:06:11.847"))
+ }
+ withSQLConf(SQLConf.LEGACY_TIME_PARSER_ENABLED.key -> "false") {
+ checkTimeZoneParsing(null)
Review comment:
fallback to the old parser?
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