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  • Failing test with dask_distributed · 5 ✖

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398919584 https://github.com/pydata/xarray/issues/2238#issuecomment-398919584 https://api.github.com/repos/pydata/xarray/issues/2238 MDEyOklzc3VlQ29tbWVudDM5ODkxOTU4NA== shoyer 1217238 2018-06-20T22:36:50Z 2018-06-20T22:36:50Z MEMBER

@jhamman sounds good! it would be also be good to xfail the failing tests with dask 0.18.0

 
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   Failing test with dask_distributed 333480301
398918501 https://github.com/pydata/xarray/issues/2238#issuecomment-398918501 https://api.github.com/repos/pydata/xarray/issues/2238 MDEyOklzc3VlQ29tbWVudDM5ODkxODUwMQ== jhamman 2443309 2018-06-20T22:31:46Z 2018-06-20T22:31:46Z MEMBER

Thanks folks for sorting this out while I was away. I'm happy to take on switching to dask's get_scheduler.

 
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   Failing test with dask_distributed 333480301
398500088 https://github.com/pydata/xarray/issues/2238#issuecomment-398500088 https://api.github.com/repos/pydata/xarray/issues/2238 MDEyOklzc3VlQ29tbWVudDM5ODUwMDA4OA== mrocklin 306380 2018-06-19T18:31:04Z 2018-06-19T18:31:04Z MEMBER

We can add this back in. I anticipate having to do a bugfix release within a week or two. Long term you probably want to do the following:

python from dask.utils import get_scheduler actual_get = get_scheduler(get=get, collections=[collection]) 

 
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   Failing test with dask_distributed 333480301
398494878 https://github.com/pydata/xarray/issues/2238#issuecomment-398494878 https://api.github.com/repos/pydata/xarray/issues/2238 MDEyOklzc3VlQ29tbWVudDM5ODQ5NDg3OA== shoyer 1217238 2018-06-19T18:14:41Z 2018-06-19T18:14:41Z MEMBER

This import no longer works: from dask.utils import effective_get

I'm raising an issue in the dask tracker...

 
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   Failing test with dask_distributed 333480301
398239960 https://github.com/pydata/xarray/issues/2238#issuecomment-398239960 https://api.github.com/repos/pydata/xarray/issues/2238 MDEyOklzc3VlQ29tbWVudDM5ODIzOTk2MA== shoyer 1217238 2018-06-19T00:52:06Z 2018-06-19T00:52:06Z MEMBER

My best guess is that our logic for getting the default scheduler and/or lock is failing with the latest dask release (0.18): https://github.com/pydata/xarray/blob/66be9c5db7d86ea385c3a4cd4295bfce67e3f25b/xarray/backends/common.py#L34-L81

Perhaps @jhamman can take a look?

 
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   Failing test with dask_distributed 333480301

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