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https://issues.apache.org/jira/browse/FLINK-1193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14296972#comment-14296972
]
ASF GitHub Bot commented on FLINK-1193:
---------------------------------------
Github user aljoscha commented on a diff in the pull request:
https://github.com/apache/flink/pull/348#discussion_r23773125
--- Diff:
flink-tests/src/test/scala/org/apache/flink/api/scala/types/TypeInformationGenTest.scala
---
@@ -255,6 +255,53 @@ class TypeInformationGenTest {
Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tti.getTypeAt(0))
Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tti.getTypeAt(1))
}
+
+ @Test
+ def testMultidimensionalArrays(): Unit = {
+ // Tuple
+ {
+ val ti = createTypeInformation[Array[Array[(String, String)]]]
+
+ Assert.assertTrue(ti.isInstanceOf[ObjectArrayTypeInfo[_, _]])
+ val oati = ti.asInstanceOf[ObjectArrayTypeInfo[_, _]]
+
Assert.assertTrue(oati.getComponentInfo.isInstanceOf[ObjectArrayTypeInfo[_, _]])
+ val oati2 =
oati.getComponentInfo.asInstanceOf[ObjectArrayTypeInfo[_, _]]
+ Assert.assertTrue(oati2.getComponentInfo.isTupleType)
+ val tti = oati2.getComponentInfo.asInstanceOf[TupleTypeInfoBase[_]]
+ Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tti.getTypeAt(0))
+ Assert.assertEquals(BasicTypeInfo.STRING_TYPE_INFO, tti.getTypeAt(1))
+ }
+
+ // primitives
+ {
+ val ti = createTypeInformation[Array[Array[Int]]]
+
+ Assert.assertTrue(ti.isInstanceOf[ObjectArrayTypeInfo[_, _]])
+ val oati = ti.asInstanceOf[ObjectArrayTypeInfo[_, _]]
+ Assert.assertEquals(oati.getComponentInfo,
PrimitiveArrayTypeInfo.INT_PRIMITIVE_ARRAY_TYPE_INFO)
--- End diff --
This line is too long. That's why mvn verify fails.
> InvalidTypesException for Array[Array[Tuple2[Int, Double]]]
> -----------------------------------------------------------
>
> Key: FLINK-1193
> URL: https://issues.apache.org/jira/browse/FLINK-1193
> Project: Flink
> Issue Type: Bug
> Reporter: Till Rohrmann
> Assignee: Timo Walther
>
> The TypeExtractor cannot handle nested arrays with non-trivial element types.
> For example, the following code cannot be run
> {code}
> val input = env.fromCollection(List(1,2,3,4))
> val mapped = input.map{
> id => {
> val pair = (1,1.0)
> val a = Array(pair)
> val b = Array(a)
> b
> }
> }
> {code}
> The resulting type Array[Array[Tuple2[Int, Double]]] cannot be extracted. It
> would be nice, if Flink supported these types.
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