Thanks for the quick response, everything is clear!

cheers!

Andrew
> On 03 Aug 2016, at 18:11, Aljoscha Krettek <aljos...@apache.org> wrote:
> 
> Hi,
> "rebalance" simply specifies the strategy to use when sending elements 
> downstream to the next operator(s). There is no interaction or competition 
> between the parallel window operator instances. Each will do windowing 
> locally based on the elements that it receives from upstream.
> 
> Cheers,
> Aljoscha
> 
> On Wed, 3 Aug 2016 at 08:26 <andrew.ge...@eniro.com 
> <mailto:andrew.ge...@eniro.com>> wrote:
> Hi Aljoscha
> 
> Thanks for the explanation.
> One other thing, when you say there is no coordination is that means 
> rebalance() will not be honored, and each window operator instance will 
> compete for the next available window?
> 
> Thanks
> 
> Andrew
> From mobile
> 
> From: Aljoscha Krettek
> Sent: Wednesday, August 3, 17:11
> Subject: Re: Parallel execution on AllWindows
> To: user@flink.apache.org <mailto:user@flink.apache.org>
> Hi,
> 
> if you manually force a parallelism different from 1 after a *windowAll() 
> then you will get parallel execution of your window. For example, if you do 
> this:
> 
> input.countWindowAll(100).setParallelism(5)
> 
> then you will get five parallel instances of the window operator that each 
> wait for 100 elements before they fire the window. There is no global 
> coordination between the parallel instances that would allow it to fire once 
> 100 elements are received across the parallel instances.
> 
> Cheers,
> 
> Aljoscha
> 
> On Wed, 3 Aug 2016 at 05:10 Andrew Ge Wu <andrew.ge...@eniro.com 
> <mailto:andrew.ge...@eniro.com>> wrote:
> 
>> Hi,
>> 
>> I have such task that I want to count window on a stream and execute them 
>> batch by batch.
>> 
>> Execute a count window may take some time, so I want it to be executed in 
>> parallel.
>> 
>> I read this part in the documentation when I found it automatically reduced 
>> parallelization to 1
>> 
>> * Note: This operation can be inherently non-parallel since all elements 
>> have to pass through
>> * the same operator instance. (Only for special cases, such as aligned time 
>> windows is
>> * it possible to perform this operation in parallel).
>> 
>> (It looks like the java doc is copied from timeWindowAll)
>> 
>> If I force all window function to run in parallel, what will happen?
>> 
>> Will a time/count window broadcast to all instances of the function? or will 
>> it be send to one of the instance so I can parallelize my work?
>> 
>> 
>> Thanks!
>> 
>> 
>> 
>> Andrew
>> 
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