issue_comments: 401087741
This data as json
| 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/2256#issuecomment-401087741 | https://api.github.com/repos/pydata/xarray/issues/2256 | 401087741 | MDEyOklzc3VlQ29tbWVudDQwMTA4Nzc0MQ== | 1197350 | 2018-06-28T16:07:02Z | 2018-06-28T16:07:02Z | MEMBER | Zarr is most useful for very large, homogeneous arrays. The argo data are not that large, and are inhomogeneous. So I'm not sure zarr will really help you out that much here. In your original post, you said you were doing "cloud processing", but later you referred to a cluster filesystem. Do you plan to put this data in object storage? |
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