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/1525#issuecomment-324735578,https://api.github.com/repos/pydata/xarray/issues/1525,324735578,MDEyOklzc3VlQ29tbWVudDMyNDczNTU3OA==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,252707680