issue_comments: 535990462

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https://github.com/pydata/xarray/issues/3350#issuecomment-535990462 https://api.github.com/repos/pydata/xarray/issues/3350 535990462 MDEyOklzc3VlQ29tbWVudDUzNTk5MDQ2Mg== 1217238 2019-09-27T15:35:55Z 2019-09-27T15:35:55Z MEMBER

Interestingly, it looks like the difference comes down to whether we chunk DataArrays or Datasets. The former produces graphs with fixed (reproducible) keys, the later doesn't: ``` In [57]: dict(ds.chunk().x.data.dask) Out[57]: {('xarray-x-a46bb46a12a44073da484c1311d00dec', 0): array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])}

In [58]: dict(ds.chunk().x.data.dask) Out[58]: {('xarray-x-a46bb46a12a44073da484c1311d00dec', 0): array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])}

In [59]: dict(ds.x.chunk().data.dask) Out[59]: {('xarray-<this-array>-d75d5cc0f0ce1b56590d80702339c0f0', 0): array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])}

In [60]: dict(ds.x.chunk().data.dask) Out[60]: {('xarray-<this-array>-0f78e51941cfb0e25d41ac24ef330a50', 0): array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])} ```

But clearly this should work either way. The size zero dimension is a give-away that the problem has something to do with dask's _meta propagation.

 
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