Hello Jitendra,
I am new to Flink community but may have seen this issue earlier. Can you
try to use DataStream<Tuple1<Integer>> instead of KeyedStream integers4
Regards Saikat
On Mon, Apr 18, 2016 at 7:37 PM, Jitendra Agrawal <
jitendra.agra...@northgateps.com> wrote:
> Hi Team,
>
> Problem Description : When I was calling *reduce()* method on keyedStream
> object then getting Ecxeption as
>
> "* org.apache.flink.api.common.InvalidProgramException: Specifying keys via
> field positions is only valid for tuple data types. Type: Integer*".
>
> StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
> KeyedStream integers4 = env.fromElements(1,2,3).keyBy(0);
> DataStream doubleIntegers4 = integers4.reduce(new
> ReduceFunction<Integer>() {
>
> @Override
> public Integer reduce(Integer arg0, Integer arg1) throws Exception {
> return arg0 + arg1;
> }
> });
>
>
> can you please tell me how to solve this exception? or can you provide any
> link or example where I get these complete Solution..
>
> your help will be appreciated..
>
> Thanks & Regards
>
> *Jitendra Agrawal *
>
> Mumbai
>
> 9167539602
>
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