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https://issues.apache.org/jira/browse/FLINK-9698?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16529406#comment-16529406
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Jeff Zhang commented on FLINK-9698:
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Could anyone let me know why flink require case class must be static and
globally accessible ? Because this similar code can work in spark, so I beleive
it should be the same for flink. As both of them require to serialize these
class to remote host and execute in remote side.
> "case class must be static and globally accessible" is too constrained
> ----------------------------------------------------------------------
>
> Key: FLINK-9698
> URL: https://issues.apache.org/jira/browse/FLINK-9698
> Project: Flink
> Issue Type: Improvement
> Reporter: Jeff Zhang
> Priority: Major
>
> The following code can reproduce this issue.
> {code}
> object BatchJob {
> def main(args: Array[String]) {
> // set up the batch execution environment
> val env = ExecutionEnvironment.getExecutionEnvironment
> val tenv = TableEnvironment.getTableEnvironment(env)
> case class Person(id:Int, name:String)
> val ds = env.fromElements(Person(1,"jeff"), Person(2, "andy"))
> tenv.registerDataSet("table_1", ds);
> }
> }
> {code}
> Although I have workaround to declare case class outside of the main method,
> this workaround won't work in scala-shell.
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