issue_comments: 350343117

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https://github.com/pydata/xarray/pull/1528#issuecomment-350343117 https://api.github.com/repos/pydata/xarray/issues/1528 350343117 MDEyOklzc3VlQ29tbWVudDM1MDM0MzExNw== 306380 2017-12-08T18:55:35Z 2017-12-08T18:55:35Z MEMBER

Not as far as I know.

On Fri, Dec 8, 2017 at 1:53 PM, Ryan Abernathey notifications@github.com wrote:

@rabernat commented on this pull request.

In xarray/backends/common.py https://github.com/pydata/xarray/pull/1528#discussion_r155848074:

@@ -184,7 +185,7 @@ def sync(self): import dask.array as da import dask if LooseVersion(dask.version) > LooseVersion('0.8.1'): - da.store(self.sources, self.targets, lock=GLOBAL_LOCK) + da.store(self.sources, self.targets, lock=self.lock)

There is no reason that a task run on the distributed system will not show up on the dashboard. My first guess is that somehow you're using a local scheduler.

I was not using a local scheduler. After digging further, I can see the tasks on the distributed dashboard using a regular zarr.DirectoryStore, but not when I pass a gcsfs.mapping.GCSMap to to_zarr. Is there any reasons these two should behave differently?

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