Hi Aljoscha:
Thanks for your reply. Look forward to the final solution.
Best Regards
Xu Pingyong
在 2017-07-31 22:39:38，"Aljoscha Krettek" <aljos...@apache.org> 写道：
>Hi,
>
>Which version of Flink are you using? This issue should have been resolved at
>least by 1.3.0: https://issues.apache.org/jira/browse/FLINK-5874
><https://issues.apache.org/jira/browse/FLINK-5874>. Currently such keys should
>be rejected. There is also this issue, that aims to re-introduce proper
>support for arrays as keys: https://issues.apache.org/jira/browse/FLINK-5299
><https://issues.apache.org/jira/browse/FLINK-5299>
>
>Best,
>Aljoscha
>
>> On 31. Jul 2017, at 15:16, Xu Pingyong <xupingyong...@163.com> wrote:
>>
>> Hi Aljoscha：
>>
>> The java.lang.Array hashCode depends on the reference instead of the
>> content. If the keyBy field contains an array, Two records are
>> hash-partitioned to different stream although their keys are equal.
>>
>> int a1[] = new int[]{1, 2}; // hashcode is : 5592464
>> int a2[] = new int[]{1, 2}; // hashcode is 1830712962
>>
>>
>> streaming job example:
>>
>>
>> Tuple2<byte[], Integer>[] soures = new Tuple2[]{new Tuple2("a".getBytes(),
>> 2), new Tuple2("a".getBytes(), 5)};
>>
>>
>> final StreamExecutionEnvironment env =
>> StreamExecutionEnvironment.getExecutionEnvironment();
>> env.fromElements(soures)
>> .keyBy(0)
>> .sum(1)
>> .map(new MapFunction<Tuple2<byte[], Integer>, Tuple2<String, Integer>>() {
>> @Override
>> public Tuple2<String, Integer> map(Tuple2<byte[], Integer> value) throws
>> Exception {
>> return new Tuple2<>(new String(value.f0), value.f1);
>> }
>> }).print();
>>
>>
>> env.execute();
>>
>>
>> Expected result is: (a, 7), not the actual result. What do you think
>> about this case?
>>
>>
>> Best Regards!
>> Xu Pingyong
>>
>>
>>
>
