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/2799#issuecomment-1306386310,https://api.github.com/repos/pydata/xarray/issues/2799,1306386310,IC_kwDOAMm_X85N3d-G,61931826,2022-11-07T23:53:17Z,2022-11-07T23:53:17Z,NONE,"So a workaround I was able to use was to load the whole thing into a np array (18GB!) in 1 minute `da.values`, index 15 nodes in 0.4 seconds (was taking ~5min in xarray), then load it back into a dataarray. Not accommodating for our friends of differently-abled memory cards, but it worked in my case","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,416962458
https://github.com/pydata/xarray/issues/2799#issuecomment-1306300937,https://api.github.com/repos/pydata/xarray/issues/2799,1306300937,IC_kwDOAMm_X85N3JIJ,61931826,2022-11-07T22:16:55Z,2022-11-07T22:16:55Z,NONE,"I'm really not understanding why indexing is so slow. My dataarray has 2 dims, one axis 1.5 million long ('node') and the other 1500 ('time'). Trying to pull a single timeseries by indexing 1 node takes 16 seconds. the Variable workaround or playing around with chunking doesn't change anything. The only thing loading into memory should be array of 1500 values.
Not sure what's going on under the hood but there may be a way to specify that you're only looking to optimize indexing along 1 dim. Once it gets indexed it becomes a very tiny data set. I would think `chunks={'node':1}` would do exactly this but I guess not.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,416962458
https://github.com/pydata/xarray/issues/1074#issuecomment-873026293,https://api.github.com/repos/pydata/xarray/issues/1074,873026293,MDEyOklzc3VlQ29tbWVudDg3MzAyNjI5Mw==,61931826,2021-07-02T14:07:05Z,2021-07-02T14:08:22Z,NONE,Not stale! Why not follow the pd convention of map vs apply for dataarray vs dataset?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,186868181