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  • mrocklin · 2 ✖

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  • Non-aggregating grouped operations on dask arrays are painfully slow to construct · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
94084031 https://github.com/pydata/xarray/issues/392#issuecomment-94084031 https://api.github.com/repos/pydata/xarray/issues/392 MDEyOklzc3VlQ29tbWVudDk0MDg0MDMx mrocklin 306380 2015-04-17T21:56:13Z 2015-04-17T21:56:13Z MEMBER

Hrm, not that much faster. It's 25% overhead on the apply. Worth checking out. I might not get to this before release though.

 
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   Non-aggregating grouped operations on dask arrays are painfully slow to construct 68759727
93532129 https://github.com/pydata/xarray/issues/392#issuecomment-93532129 https://api.github.com/repos/pydata/xarray/issues/392 MDEyOklzc3VlQ29tbWVudDkzNTMyMTI5 mrocklin 306380 2015-04-15T18:58:11Z 2015-04-15T18:58:11Z MEMBER

Interesting. Looks like the overhead of managing the graph is becoming non-trivial.

How long do these operations take to execute? What is your blockdims?

 
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   Non-aggregating grouped operations on dask arrays are painfully slow to construct 68759727

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