Thank you for the validation, and for the suggestion to use
H5Sselect_none().  That is probably the right thing for the dataspace.
Not quite sure what to do about the memspace, though; the comment is
correct that we crash if any of the dimensions is zero.

On Thu, Nov 9, 2017 at 8:34 AM, Jordan Henderson
<jhender...@hdfgroup.org> wrote:
> It seems you're discovering the issues right as I'm typing this!
>
>
> I'm glad you were able to solve the issue with the hanging. I was starting
> to suspect an issue with the MPI implementation but it's usually the last
> thing on the list after inspecting the code itself.
>
>
> As you've seen, it seems that PETSc is creating a NULL dataspace for the
> ranks which are not contributing, instead of creating a Scalar/Simple
> dataspace on all ranks and calling H5Sselect_none() for those that don't
> participate. This would most likely explain the reason you saw the assertion
> failure in the non-filtered case, as the legacy code probably was not
> expecting to receive a NULL dataspace. On top of that, the NULL dataspace
> seems like it is causing the parallel operation to break collective mode,
> which is not allowed when filters are involved. I would need to do some
> research as to why this happens before deciding whether it's more
> appropriate to modify this in HDF5 or to have PETSc not use NULL dataspaces.
>
>
> Avoiding deadlock from the final sort has been an issue I had to re-tackle a
> few different times due to the nature of the code's complexity, but I will
> investigate using the chunk offset as a secondary sort key and see if it
> will run into problems in any other cases. Ideally, the chunk redistribution
> might be updated in the future to involve all ranks in the operation instead
> of just rank 0, also allowing for improvements to the redistribution
> algorithm that may solve these problems, but for the time being this may be
> sufficient.

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