issue_comments: 550471849

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html_url	issue_url	id	node_id	user	created_at	updated_at	author_association	body	reactions	performed_via_github_app	issue
https://github.com/pydata/xarray/issues/3484#issuecomment-550471849	https://api.github.com/repos/pydata/xarray/issues/3484	550471849	MDEyOklzc3VlQ29tbWVudDU1MDQ3MTg0OQ==	4605410	2019-11-06T19:48:17Z	2019-11-06T19:48:17Z	NONE	@friedrichknuth One of my motivations behind exploring sparse DataArray backends is in reducing the memory footprint during merge operations. Consider the following: $\begin{Vmatrix} X_{11}(t) & X_{12}(t))\\ \end{Vmatrix} \textbf{merge with} \begin{Vmatrix} X_{22}(t) & X_{23}(t))\\ \end{Vmatrix} = \begin{Vmatrix} X_{11}(t) & X_{12}(t) & \textbf{NaN/0}\\ \textbf{NaN/0} & X_{22}(t) & X_{23}(t) \end{Vmatrix}$ One can imagine many such merge operations producing a lot of effectively empty indices. While sparse backed arrays might have the ability to condense these empty indices in memory, it seems like xarray sparse merging isnt quite compatible yet.	{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }		517338735