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/2937#issuecomment-652598966,https://api.github.com/repos/pydata/xarray/issues/2937,652598966,MDEyOklzc3VlQ29tbWVudDY1MjU5ODk2Ng==,1197350,2020-07-01T19:14:35Z,2020-07-01T19:14:35Z,MEMBER,"My approach here was to use compression and filters to minimize the on-disk storage. Here is my .zarray for the dataset in question
```json
{
""chunks"": [
1,
13,
4320,
4320
],
""compressor"": {
""check"": -1,
""filters"": [
{
""dist"": 1,
""id"": 3
},
{
""id"": 33,
""preset"": 1
}
],
""format"": 3,
""id"": ""lzma"",
""preset"": null
},
""dtype"": ""|i1"",
""fill_value"": null,
""filters"": null,
""order"": ""C"",
""shape"": [
90,
13,
4320,
4320
],
""zarr_format"": 2
```
This does not solve the in-memory problem, but that's a numpy issue.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439875798
https://github.com/pydata/xarray/issues/2937#issuecomment-652358007,https://api.github.com/repos/pydata/xarray/issues/2937,652358007,MDEyOklzc3VlQ29tbWVudDY1MjM1ODAwNw==,88113,2020-07-01T11:16:40Z,2020-07-01T11:16:40Z,NONE,@rabernat : I don't assume you've found a workaround for this?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439875798
https://github.com/pydata/xarray/issues/2937#issuecomment-489656124,https://api.github.com/repos/pydata/xarray/issues/2937,489656124,MDEyOklzc3VlQ29tbWVudDQ4OTY1NjEyNA==,1217238,2019-05-06T15:08:41Z,2019-05-06T15:08:41Z,MEMBER,"> So maybe we make the boolean encoding optional?
Sounds good to me! We clearly don't need to be doing with data stored in zarr.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439875798