sadikovi commented on code in PR #36726:
URL: https://github.com/apache/spark/pull/36726#discussion_r889742470
##########
sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCSuite.scala:
##########
@@ -1879,5 +1880,53 @@ class JDBCSuite extends QueryTest
val fields = schema.fields
assert(fields.length === 1)
assert(fields(0).dataType === StringType)
- }
+ }
+
+ test("SPARK-39339: Handle TimestampNTZType null values") {
+ val tableName = "timestamp_ntz_null_table"
+
+ val df = Seq(null.asInstanceOf[LocalDateTime]).toDF("col1")
+
+ df.write.format("jdbc")
+ .option("url", urlWithUserAndPass)
+ .option("dbtable", tableName).save()
+
+ val res = spark.read.format("jdbc")
+ .option("inferTimestampNTZType", "true")
+ .option("url", urlWithUserAndPass)
+ .option("dbtable", tableName)
+ .load()
+
+ checkAnswer(res, Seq(Row(null)))
+ }
+
+ test("SPARK-39339: TimestampNTZType with different local time zones") {
+ val tableName = "timestamp_ntz_diff_tz_support_table"
+
+ DateTimeTestUtils.outstandingTimezonesIds.foreach { timeZone =>
+ withSQLConf(SQLConf.SESSION_LOCAL_TIMEZONE.key -> timeZone) {
+ Seq(
+ "1972-07-04 03:30:00",
+ "2019-01-20 12:00:00.502",
+ "2019-01-20T00:00:00.123456",
+ "1500-01-20T00:00:00.123456"
+ ).foreach { case datetime =>
+ val df = spark.sql(s"select timestamp_ntz '$datetime'")
+ df.write.format("jdbc")
+ .mode("overwrite")
+ .option("url", urlWithUserAndPass)
+ .option("dbtable", tableName)
+ .save()
+
+ val res = spark.read.format("jdbc")
+ .option("inferTimestampNTZType", "true")
+ .option("url", urlWithUserAndPass)
+ .option("dbtable", tableName)
+ .load()
Review Comment:
Yes, I will update, thanks 👍.
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