Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14829#discussion_r76417772
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVSuite.scala
---
@@ -681,6 +680,20 @@ class CSVSuite extends QueryTest with SharedSQLContext
with SQLTestUtils {
Seq((1, Array("Tesla", "Chevy", "Ford"))).toDF("id",
"brands").write.csv(csvDir)
}.getMessage
assert(msg.contains("CSV data source does not support array<string>
data type"))
+
+ msg = intercept[UnsupportedOperationException] {
+ Seq((1, new UDT.MyDenseVector(Array(0.25, 2.25,
4.25)))).toDF("id", "vectors")
+ .write.csv(csvDir)
+ }.getMessage
+ assert(msg.contains("CSV data source does not support array<double>
data type"))
+
+ // Read should fail for UDT.
+ msg = intercept[SparkException] {
+ val schema = StructType(StructField("a", new
UDT.MyDenseVectorUDT(), true) :: Nil)
+ spark.range(1).write.csv(csvDir)
+ spark.read.schema(schema).csv(csvDir).collect()
+ }.getCause.getMessage
--- End diff --
I know adding opposite cases for tests is not quite good but I had to do
this to avoid defining another UDT here. If you think it is okay to define
another one, I will do so.
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