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/7429#issuecomment-1381839977,https://api.github.com/repos/pydata/xarray/issues/7429,1381839977,IC_kwDOAMm_X85SXTRp,7348840,2023-01-13T13:17:42Z,2023-01-13T13:17:42Z,NONE,"I've managed to try this bug on a virtualenv and could not see any leaks, the code ran nicely. Also in my real case.

So it seems to be a singularity problem.

Closing the issue.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1525546857
https://github.com/pydata/xarray/issues/7429#issuecomment-1375630008,https://api.github.com/repos/pydata/xarray/issues/7429,1375630008,IC_kwDOAMm_X85R_nK4,7348840,2023-01-09T13:30:16Z,2023-01-09T13:31:02Z,NONE,"Update: If not using my cluster and its docker image but a colab notebook, I could not reproduce the leak.

Below benchmark uses XarrayDataset and `concat_operations=4`.

| epoch | memory (GB) |
|-------|-------------|
| 0 | 0.357 |
| 1 | 11.144 |
| 2 | 11.117 |
| 3 | 10.965 |
| 4 | 10.965 |
| 5 | 10.965 |
| 6 | 10.965 |
| 7 | 10.965 |
| 8 | 10.965 |
| 9 | 10.965 |
| 10 | 10.965 |","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1525546857
https://github.com/pydata/xarray/issues/865#issuecomment-1225823013,https://api.github.com/repos/pydata/xarray/issues/865,1225823013,IC_kwDOAMm_X85JEJMl,7348840,2022-08-24T14:42:47Z,2022-08-24T14:42:47Z,NONE,"> You can also use [zlib and complevel](https://docs.xarray.dev/en/stable/user-guide/io.html#chunk-based-compression)

Just making it clear: those would configure lossless compression of netcdf4 lib, not lossy compression.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,158078410
https://github.com/pydata/xarray/issues/865#issuecomment-1220093929,https://api.github.com/repos/pydata/xarray/issues/865,1220093929,IC_kwDOAMm_X85IuSfp,7348840,2022-08-19T00:04:21Z,2022-08-19T00:04:21Z,NONE,"Thanks, I thought there were some methods to choose from or something like that. For future readers, `scale_factor` seems to be used to control compression loss.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,158078410
https://github.com/pydata/xarray/issues/865#issuecomment-1219669758,https://api.github.com/repos/pydata/xarray/issues/865,1219669758,IC_kwDOAMm_X85Isq7-,7348840,2022-08-18T16:01:58Z,2022-08-18T16:01:58Z,NONE,How do I get lossy compression? I could not find it on the documentation :(,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,158078410