I think this would be a good way to go. Please monitor FLINK-10429 [1] to
see when the Scheduler interface is put into place. The sub tasks to add
the interfaces should be added very soon.

[1] https://issues.apache.org/jira/browse/FLINK-10429

Cheers,
Till

On Wed, Apr 17, 2019 at 1:54 PM Bo WANG <wbeaglewatc...@gmail.com> wrote:

> Thanks Till for the comments.
> We will implement a new adaptive parallelism supported scheduler in the new
> schedule framework. Based on these schedule interfaces, we could do the
> work in parallel.
>
> On Tue, Apr 16, 2019 at 11:18 PM Till Rohrmann <trohrm...@apache.org>
> wrote:
>
> > Hi Bo Wang,
> >
> > thanks for proposing this design document. I think it is an interesting
> > idea to improve Flink's execution efficiency.
> >
> > At the moment, the community is actively working on making Flink's
> > scheduler pluggable. Once this is possible, we could try this feature out
> > by implementing a scheduler which supports adaptive parallelism without
> > affecting the existing code. I think this would be a nice approach to
> > further evaluate and benchmark the implications of such a strategy. What
> do
> > you think?
> >
> > Cheers,
> > Till
> >
> > On Mon, Apr 8, 2019 at 10:28 AM Bo WANG <wbeaglewatc...@gmail.com>
> wrote:
> >
> > > Hi all,
> > > In distribution computing system, execution parallelism is vital for
> both
> > > resource efficiency and execution performance. In Flink, execution
> > > parallelism is a pre-specified parameter, which is usually an empirical
> > > value and thus might not be optimal on the various amount of data
> > processed
> > > by each task.
> > >
> > > Furthermore, a fixed parallelism cannot scale to varying data size,
> which
> > > is common in production cluster, since we may not frequently change the
> > > cluster configuration.
> > >
> > > Thus, we propose adaptively determine the execution parallelism of each
> > > vertex at runtime based on the actual input data size and an ideal data
> > > size processed by each task. The ideal data size is a pre-specified
> > > parameter according to the property of the operator.
> > >
> > > The design doc is ready:
> > >
> > >
> >
> https://docs.google.com/document/d/1ZxnoJ3SOxUk1PL2xC1t-kepq28Pg20IL6eVKUUOWSKY/edit?usp=sharing
> > > ,
> > > any comments are highly appreciated.
> > >
> >
>

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