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  • Consider setting name=False in Variable.chunk() · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
878714184 https://github.com/pydata/xarray/issues/1525#issuecomment-878714184 https://api.github.com/repos/pydata/xarray/issues/1525 MDEyOklzc3VlQ29tbWVudDg3ODcxNDE4NA== stale[bot] 26384082 2021-07-13T01:50:15Z 2021-07-13T01:50:15Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

 
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   Consider setting name=False in Variable.chunk() 252707680
515212977 https://github.com/pydata/xarray/issues/1525#issuecomment-515212977 https://api.github.com/repos/pydata/xarray/issues/1525 MDEyOklzc3VlQ29tbWVudDUxNTIxMjk3Nw== jhamman 2443309 2019-07-25T21:01:00Z 2019-07-25T21:01:00Z MEMBER

I think we should leave this open as we never came to any consensus on the best path forward. 

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   Consider setting name=False in Variable.chunk() 252707680
515198408 https://github.com/pydata/xarray/issues/1525#issuecomment-515198408 https://api.github.com/repos/pydata/xarray/issues/1525 MDEyOklzc3VlQ29tbWVudDUxNTE5ODQwOA== stale[bot] 26384082 2019-07-25T20:18:22Z 2019-07-25T20:18:22Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

 
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   Consider setting name=False in Variable.chunk() 252707680
324735578 https://github.com/pydata/xarray/issues/1525#issuecomment-324735578 https://api.github.com/repos/pydata/xarray/issues/1525 MDEyOklzc3VlQ29tbWVudDMyNDczNTU3OA== mrocklin 306380 2017-08-24T19:37:27Z 2017-08-24T19:37:27Z MEMBER

To be explicit, by default da.from_array currently names arrays by hashing all of the data within them. This can be somewhat slow depending on what hashing libraries you have on your machine, generally something like 500-1000 MB/s. This buys you a deterministic name for your array. If someone else with the exact same data does the exact same operations that then Dask can track that and avoid repeated work.

So you have to choose:

  1. Avoid repeated work
  2. Avoid hashing data

The choice really depends on how often you plan to repeat the same computation on the same data that comes from the same numpy array. If you only ever call a.chunk(...) once per array then there is no reason to hash.

 
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   Consider setting name=False in Variable.chunk() 252707680

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