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  • rafa-guedes · 2 ✖

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  • xr.concat consuming too much resources · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
295993132 https://github.com/pydata/xarray/issues/1379#issuecomment-295993132 https://api.github.com/repos/pydata/xarray/issues/1379 MDEyOklzc3VlQ29tbWVudDI5NTk5MzEzMg== rafa-guedes 7799184 2017-04-21T00:54:28Z 2017-04-21T10:05:27Z CONTRIBUTOR

I realised that some of the Datasets I was trying to concatenate had different coordinate values (for coordinates that I was assuming to be the same) so I guess xr.concat was trying to align these coordinates before concatenating and the resultant Dataset ended up being much larger than it should have been. When I ensure I only concatenate Datasets with consistent coordinates, I can do it.

However still resource consumption is quite high compared to when I so the same thing with numpy arrays. The memory increased by 42% using xr.concat (against 6% using np.concatenate) and the whole processing took about 4 times longer. 

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   xr.concat consuming too much resources 223231729
295970641 https://github.com/pydata/xarray/issues/1379#issuecomment-295970641 https://api.github.com/repos/pydata/xarray/issues/1379 MDEyOklzc3VlQ29tbWVudDI5NTk3MDY0MQ== rafa-guedes 7799184 2017-04-20T23:41:38Z 2017-04-20T23:41:38Z CONTRIBUTOR

Also, reading all Datasets into a list and then trying to concatenate this list of Datasets at once also blows memory up.

 
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   xr.concat consuming too much resources 223231729

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