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2 rows where author_association = "CONTRIBUTOR", issue = 1694956396 and user = 85085 sorted by updated_at descending

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  • tomwhite · 2 ✖

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  • Task naming for general chunkmanagers · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1536054499 https://github.com/pydata/xarray/issues/7813#issuecomment-1536054499 https://api.github.com/repos/pydata/xarray/issues/7813 IC_kwDOAMm_X85bjlTj tomwhite 85085 2023-05-05T10:30:38Z 2023-05-05T10:30:38Z CONTRIBUTOR

Ah I understand better now. This makes sense - if ChunkManager has a name then the implementation could use that to name tasks.

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  Task naming for general chunkmanagers 1694956396
1534281206 https://github.com/pydata/xarray/issues/7813#issuecomment-1534281206 https://api.github.com/repos/pydata/xarray/issues/7813 IC_kwDOAMm_X85bc0X2 tomwhite 85085 2023-05-04T08:22:05Z 2023-05-04T08:22:05Z CONTRIBUTOR

If you hover over a node in the SVG representation you'll get a tooltip that shows the call stack and the line number of the top-level user function that invoked the computation. Does that help at all? (That said, I'm open to changing the way it is displayed, or how tasks are named in general.)

BTW should this be moved to a cubed issue?

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  Task naming for general chunkmanagers 1694956396

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