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  • TomAugspurger · 2 ✖

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  • Implement dask.sizeof for xarray.core.indexing.ImplicitToExplicitIndexingAdapter · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
852667695 https://github.com/pydata/xarray/issues/5426#issuecomment-852667695 https://api.github.com/repos/pydata/xarray/issues/5426 MDEyOklzc3VlQ29tbWVudDg1MjY2NzY5NQ== TomAugspurger 1312546 2021-06-02T02:37:18Z 2021-06-02T02:37:18Z MEMBER

Do you run into poor load balancing as well when using Zarr with Xarray?

The only thing that comes to mind is everything being assigned to one worker when the entire task graph has a single node at the base of the task graph. But then work stealing kicks in and things level out (that was a while ago though).

I haven't noticed any kind of systemic load balancing problem, but I can take a look at that notebook later. 

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   Implement dask.sizeof for xarray.core.indexing.ImplicitToExplicitIndexingAdapter 908971901
852666211 https://github.com/pydata/xarray/issues/5426#issuecomment-852666211 https://api.github.com/repos/pydata/xarray/issues/5426 MDEyOklzc3VlQ29tbWVudDg1MjY2NjIxMQ== TomAugspurger 1312546 2021-06-02T02:33:28Z 2021-06-02T02:33:28Z MEMBER

https://github.com/dask/dask/pull/6203 and https://github.com/dask/dask/pull/6773/ are the maybe relevant issues. I actually don't know if that could have an effect here. I don't know (and a brief search couldn't confirm) whether or not xarray uses dask.array.from_zarr. 

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   Implement dask.sizeof for xarray.core.indexing.ImplicitToExplicitIndexingAdapter 908971901

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