cloud-fan commented on code in PR #45409:
URL: https://github.com/apache/spark/pull/45409#discussion_r1515426129
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sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SaveIntoDataSourceCommandSuite.scala:
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@@ -71,6 +71,39 @@ class SaveIntoDataSourceCommandSuite extends QueryTest with
SharedSparkSession {
FakeV1DataSource.data = null
}
+
+ test("Data type support") {
+
+ val dataSource = DataSource(
+ sparkSession = spark,
+ className = "jdbc",
+ partitionColumns = Nil,
+ options = Map())
+
+ val df = spark.range(1).selectExpr(
+ "cast('a' as binary) a", "true b", "cast(1 as byte) c", "1.23 d")
+ dataSource.planForWriting(SaveMode.ErrorIfExists, df.logicalPlan)
+
+ withSQLConf("spark.databricks.variant.enabled" -> "true") {
+ // Variant and Interval types are disallowed by default.
+ val unsupportedTypes = Seq(
+ "parse_json('1') v",
+ "array(parse_json('1'))",
+ "struct(1, parse_json('1')) s",
+ "map(1, parse_json('1')) s",
+ "INTERVAL '1' MONTH i",
+ "make_ym_interval(1, 2) ym",
+ "make_dt_interval(1, 2, 3, 4) dt")
+
+ unsupportedTypes.foreach { expr =>
+ val df = spark.range(1).selectExpr(expr)
+ val e = intercept[AnalysisException] {
+ dataSource.planForWriting(SaveMode.ErrorIfExists, df.logicalPlan)
+ }
+ assert(e.getMessage.contains("UNSUPPORTED_DATA_TYPE_FOR_DATASOURCE"))
Review Comment:
let's use `checkError` for it.
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