cloud-fan commented on code in PR #52016:
URL: https://github.com/apache/spark/pull/52016#discussion_r2416906171
##########
sql/core/src/test/scala/org/apache/spark/sql/connector/UpdateTableSuiteBase.scala:
##########
@@ -735,4 +738,137 @@ abstract class UpdateTableSuiteBase extends
RowLevelOperationSuiteBase {
Row(5)))
}
}
+
+ test("update with UDT column") {
+ withTempView("v2") {
+ val data2 =
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(22, 32)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt")
+ data2.createTempView("v2")
+
+ withTable(tableNameAsString) {
+ // Creates a table with a Point column.
+ val data1 = Seq(
+ (1, Point(11, 21)),
+ (2, Point(12, 22)),
+ (3, Point(13, 23))
+ ).toDF("pk", "pt")
+ data1.write.saveAsTable(tableNameAsString)
+
+ checkAnswer(spark.table(tableNameAsString), data1)
+
+ sql(
+ s""" merge into $tableNameAsString as t
+ | using v2
+ | on t.pk = v2.pk
+ | when matched and t.pk <> 2 then update set pt = v2.pt
+ |""".stripMargin)
+ checkAnswer(spark.table(tableNameAsString),
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(12, 22)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt"))
+
+ sql(
+ s""" UPDATE $tableNameAsString
+ | SET pt = (select pt from v2 where pk = 2)
+ | WHERE pk = 2
+ |""".stripMargin)
+ checkAnswer(spark.table(tableNameAsString), data2)
+ }
+ }
+ }
+
+ test("unwrap UDT to struct before update") {
+ withTempView("v1", "v2") {
+ val data1 = Seq(
+ (1, Point(11, 21)),
+ (2, Point(12, 22)),
+ (3, Point(13, 23))
+ ).toDF("pk", "pt")
+ data1.createTempView("v1")
+
+ val data2 =
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(22, 32)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt")
+ data2.createTempView("v2")
+
+ withTable(tableNameAsString) {
Review Comment:
ditto
##########
sql/core/src/test/scala/org/apache/spark/sql/connector/UpdateTableSuiteBase.scala:
##########
@@ -735,4 +738,137 @@ abstract class UpdateTableSuiteBase extends
RowLevelOperationSuiteBase {
Row(5)))
}
}
+
+ test("update with UDT column") {
+ withTempView("v2") {
+ val data2 =
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(22, 32)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt")
+ data2.createTempView("v2")
+
+ withTable(tableNameAsString) {
+ // Creates a table with a Point column.
+ val data1 = Seq(
+ (1, Point(11, 21)),
+ (2, Point(12, 22)),
+ (3, Point(13, 23))
+ ).toDF("pk", "pt")
+ data1.write.saveAsTable(tableNameAsString)
+
+ checkAnswer(spark.table(tableNameAsString), data1)
+
+ sql(
+ s""" merge into $tableNameAsString as t
+ | using v2
+ | on t.pk = v2.pk
+ | when matched and t.pk <> 2 then update set pt = v2.pt
+ |""".stripMargin)
+ checkAnswer(spark.table(tableNameAsString),
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(12, 22)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt"))
+
+ sql(
+ s""" UPDATE $tableNameAsString
+ | SET pt = (select pt from v2 where pk = 2)
+ | WHERE pk = 2
+ |""".stripMargin)
+ checkAnswer(spark.table(tableNameAsString), data2)
+ }
+ }
+ }
+
+ test("unwrap UDT to struct before update") {
+ withTempView("v1", "v2") {
+ val data1 = Seq(
+ (1, Point(11, 21)),
+ (2, Point(12, 22)),
+ (3, Point(13, 23))
+ ).toDF("pk", "pt")
+ data1.createTempView("v1")
+
+ val data2 =
+ Seq(
+ (1, Point(21, 31)),
+ (2, Point(22, 32)),
+ (3, Point(23, 33))
+ ).toDF("pk", "pt")
+ data2.createTempView("v2")
+
+ withTable(tableNameAsString) {
+ sql(
+ s"""
+ | create table $tableNameAsString (
Review Comment:
ditto
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