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https://issues.apache.org/jira/browse/FLINK-1193?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14303060#comment-14303060
]
ASF GitHub Bot commented on FLINK-1193:
---------------------------------------
Github user StephanEwen commented on a diff in the pull request:
https://github.com/apache/flink/pull/348#discussion_r23995382
--- Diff:
flink-core/src/main/java/org/apache/flink/api/common/typeutils/base/GenericArraySerializer.java
---
@@ -72,7 +72,9 @@ public boolean isStateful() {
C[] copy = create(from.length);
for (int i = 0; i < copy.length; i++) {
- copy[i] = this.componentSerializer.copy(from[i],
this.componentSerializer.createInstance());
+ if (from[i] != null) {
+ copy[i] =
this.componentSerializer.copy(from[i],
this.componentSerializer.createInstance());
--- End diff --
This should not use the method with re-usable instance.
> 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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