issue_comments: 1339595819

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https://github.com/pydata/xarray/issues/7363#issuecomment-1339595819 https://api.github.com/repos/pydata/xarray/issues/7363 1339595819 IC_kwDOAMm_X85P2Jwr 8382834 2022-12-06T15:59:19Z 2022-12-06T16:00:51Z CONTRIBUTOR

This has been running for 10 minutes now; if there is a "stupid", "non searchsorted" lookup for every entry (which would make sense, there is no reason to make some assumption about how the index looks like), reindex may take a reeeeeally long time, I think I will drop this in a few minutes and do the i) create extended numpy arrays, ii) extract the xarray data as numpy arrays iii) block copy the data that is not modified, iv) block fill the data that are modified instead.

So this discussion may still be relevant for adding a new way of extending by just re-allocating with more memory at the end of a dimension, copying the previously existing data up to the previous size, and filling the new entries corresponding to the additional entries created with a user value, as this will be much faster than using reindex and lookup for every entry.

I think this is a quite typical workflow needed when working in geosciences and adding some new observations to an aggregated dataset, so this may be useful for quite many people :) .

 
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