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Hi Bastien,

You are right, it will wait for message A to be processed. To be more generic, it is a question of how to solve the data skew problem in shuffle case. This question is common and there are already many ways to solve it according to the different scenario.

I think we can solve your problem in the following ways:

- Define your own hash logic according to your business logic. For example, making A and B contains a different hash value.

- Increase the maximum parallelism. There are exactly as many Key Groups as the defined maximum parallelism. The more parallelism, the more key groups. This reduces the probability that A&B in the same key group, i.e, reduce the probability that in the same instance.

Best, Hequn

On Wed, Dec 12, 2018 at 10:33 PM bastien dine <bastien.dine@xxxxxxxxx> wrote:

Hi Hequn, thanks for your response !Ok, that's what I was thinking about the key & operator instanceIf the affectation of key group to an instance is deterministic (and the hash of the key to belong to a key group) I have the following problemLet's say I have 4 key (A,B,C,D) & 2 parallel instance for my operator (1, 2).Flink determines that A/B belong 1 and C/D belong to 2.If I have a message keyed by A it will be processed by 1.But the following message is a B-key, it will wait for message A to be processed by 1 and then go to 1, even if 2 is not busy and can technically do the processing, right ?How can I deal with that ?Best Regard and many thanks !Le mer. 12 déc. 2018 à 13:39, Hequn Cheng <chenghequn@xxxxxxxxx> a écrit :Hi Bastien,Each key “belongs” to exactly one parallel instance of a keyed operator, and each parallel instance contains one or more Key Groups.Keys will be hashed into the corresponding key group deterministically. It is hashed by the value instead of the number of the total records.Different keys do not affect each other even a parallel instance contains one or more Key Groups.Best, HequnOn Wed, Dec 12, 2018 at 6:21 PM bastien dine <bastien.dine@xxxxxxxxx> wrote:Hello everyone,I have a question regarding the key state & parallelism of a process operationDoc says : "You can think of Keyed State as Operator State that has been partitioned, or sharded, with exactly one state-partition per key. Each keyed-state is logically bound to a unique composite of <parallel-operator-instance, key>, and since each key “belongs” to exactly one parallel instance of a keyed operator, we can think of this simply as <operator, key>."If I have less parallel operator instance (say 5) than my number of possible key (10), it means than every instance will "manage" 2 key state ? (is this spread evenly ?)Is the logical bound fixed ? I mean, are the state always managed by the same instance, or does this depends on the available instance at the moment ?"During execution each parallel instance of a keyed operator works with the keys for one or more Key Groups."-> this is related, does "works with the keys" means always the same keys ?Best Regards,Bastien

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