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From Ken Krugler <kkrugler_li...@transpac.com>
Subject Re: Question about key group / key state & parallelism
Date Wed, 12 Dec 2018 15:24:12 GMT
If you don’t care about having the same key processed by the same operator (so no keyed state,
no windowed processing of the same keys, etc) then you can just use DataStream.rebalance()
<https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/operators/#physical-partitioning>.

— Ken


> On Dec 12, 2018, at 6:33 AM, bastien dine <bastien.dine@gmail.com> wrote:
> 
> Hi Hequn, thanks for your response !
> 
> Ok, that's what I was thinking about the key & operator instance
> If 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 problem
> 
> Let'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 !
> Bastien
> ------------------
> 
> Bastien DINE
> Data Architect / Software Engineer / Sysadmin
> bastiendine.io <http://bastiendine.io/>
> 
> 
> Le mer. 12 déc. 2018 à 13:39, Hequn Cheng <chenghequn@gmail.com <mailto:chenghequn@gmail.com>>
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, Hequn
> 
> 
> On Wed, Dec 12, 2018 at 6:21 PM bastien dine <bastien.dine@gmail.com <mailto:bastien.dine@gmail.com>>
wrote:
> Hello everyone,
> 
> I have a question regarding the key state & parallelism of a process operation
> 
> Doc 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
> 
> ------------------
> 
> Bastien DINE
> Data Architect / Software Engineer / Sysadmin
> bastiendine.io <http://bastiendine.io/>

--------------------------
Ken Krugler
+1 530-210-6378
http://www.scaleunlimited.com
Custom big data solutions & training
Flink, Solr, Hadoop, Cascading & Cassandra


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