cloud-fan commented on a change in pull request #28979:
URL: https://github.com/apache/spark/pull/28979#discussion_r448986958
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File path: sql/core/src/test/scala/org/apache/spark/sql/UDFSuite.scala
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@@ -504,23 +508,34 @@ class UDFSuite extends QueryTest with SharedSparkSession {
}
test("Using java.time.Instant in UDF") {
- withSQLConf(SQLConf.DATETIME_JAVA8API_ENABLED.key -> "true") {
- val expected = java.time.Instant.parse("2019-02-27T00:00:00Z")
- val plusSec = udf((i: java.time.Instant) => i.plusSeconds(1))
- val df = spark.sql("SELECT TIMESTAMP '2019-02-26 23:59:59Z' as t")
- .select(plusSec('t))
- assert(df.collect().toSeq === Seq(Row(expected)))
- }
+ val dtf = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss")
+ val expected = java.time.Instant.parse("2019-02-27T00:00:00Z")
+ .atZone(DateTimeUtils.getZoneId(conf.sessionLocalTimeZone))
+ .toLocalDateTime
+ .format(dtf)
+ val plusSec = udf((i: java.time.Instant) => i.plusSeconds(1))
+ val df = spark.sql("SELECT TIMESTAMP '2019-02-26 23:59:59Z' as t")
+ .select(plusSec('t).cast(StringType))
+ assert(df.collect().toSeq === Seq(Row(expected)))
}
test("Using java.time.LocalDate in UDF") {
- withSQLConf(SQLConf.DATETIME_JAVA8API_ENABLED.key -> "true") {
- val expected = java.time.LocalDate.parse("2019-02-27")
- val plusDay = udf((i: java.time.LocalDate) => i.plusDays(1))
- val df = spark.sql("SELECT DATE '2019-02-26' as d")
- .select(plusDay('d))
- assert(df.collect().toSeq === Seq(Row(expected)))
- }
+ val expected = java.time.LocalDate.parse("2019-02-27").toString
+ val plusDay = udf((i: java.time.LocalDate) => i.plusDays(1))
+ val df = spark.sql("SELECT DATE '2019-02-26' as d")
+ .select(plusDay('d).cast(StringType))
+ assert(df.collect().toSeq === Seq(Row(expected)))
+ }
+
+ test("Using combined types of Instant/LocalDate in UDF") {
Review comment:
can we add one more test to combine `Instant` and `Timestamp`? This is
not possible before this PR.
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