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  • Generated Dask graph is huge - performance issue? · 4 ✖

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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
274605239 https://github.com/pydata/xarray/issues/1161#issuecomment-274605239 https://api.github.com/repos/pydata/xarray/issues/1161 MDEyOklzc3VlQ29tbWVudDI3NDYwNTIzOQ== shoyer 1217238 2017-01-23T20:21:14Z 2017-01-23T20:21:14Z MEMBER

Fixed by #1162

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  Generated Dask graph is huge - performance issue? 195050684
266588337 https://github.com/pydata/xarray/issues/1161#issuecomment-266588337 https://api.github.com/repos/pydata/xarray/issues/1161 MDEyOklzc3VlQ29tbWVudDI2NjU4ODMzNw== shoyer 1217238 2016-12-12T23:34:41Z 2016-12-12T23:34:41Z MEMBER

I'm thinking I might but together a draft PR for comments

Yes, please do -- that's much easier to read and comment on than what you have here.

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  Generated Dask graph is huge - performance issue? 195050684
266526859 https://github.com/pydata/xarray/issues/1161#issuecomment-266526859 https://api.github.com/repos/pydata/xarray/issues/1161 MDEyOklzc3VlQ29tbWVudDI2NjUyNjg1OQ== shoyer 1217238 2016-12-12T19:27:28Z 2016-12-12T19:27:28Z MEMBER

https://github.com/pydata/xarray/blob/1615a0f65c331ef5f7c6be83eccf9a1c6796fa77/xarray/core/dataset.py#L1080

nothing about the logic is dask specific currently

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  Generated Dask graph is huge - performance issue? 195050684
266517317 https://github.com/pydata/xarray/issues/1161#issuecomment-266517317 https://api.github.com/repos/pydata/xarray/issues/1161 MDEyOklzc3VlQ29tbWVudDI2NjUxNzMxNw== shoyer 1217238 2016-12-12T18:52:35Z 2016-12-12T18:52:35Z MEMBER

Indeed, sel_points currently uses a very inefficient implementation -- it indexes each point and then concatenates them together.

Could be worth experimenting with dask.array.Array.vindex to make a more scalable version: https://github.com/dask/dask/pull/439

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  Generated Dask graph is huge - performance issue? 195050684

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