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3 rows where author_association = "MEMBER", issue = 286448591 and user = 306380 sorted by updated_at descending

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user 1

  • mrocklin · 3 ✖

issue 1

  • data_array.<tab> reads data · 3 ✖

author_association 1

  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
355750184 https://github.com/pydata/xarray/issues/1810#issuecomment-355750184 https://api.github.com/repos/pydata/xarray/issues/1810 MDEyOklzc3VlQ29tbWVudDM1NTc1MDE4NA== mrocklin 306380 2018-01-06T14:26:36Z 2018-01-06T14:26:36Z MEMBER

Confirmed that this resolved the issue. Thanks all!

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  data_array.<tab> reads data 286448591
355716476 https://github.com/pydata/xarray/issues/1810#issuecomment-355716476 https://api.github.com/repos/pydata/xarray/issues/1810 MDEyOklzc3VlQ29tbWVudDM1NTcxNjQ3Ng== mrocklin 306380 2018-01-06T02:26:32Z 2018-01-06T02:26:32Z MEMBER

'6.2.1' and '0.10.2' respectively. I'll try updating Jedi and report back. Thank you for the pointer and rapid response @fujiisoup !

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  data_array.<tab> reads data 286448591
355712926 https://github.com/pydata/xarray/issues/1810#issuecomment-355712926 https://api.github.com/repos/pydata/xarray/issues/1810 MDEyOklzc3VlQ29tbWVudDM1NTcxMjkyNg== mrocklin 306380 2018-01-06T01:35:56Z 2018-01-06T01:35:56Z MEMBER

Operationally this is both inefficient for me in terms of bandwidth and actually results in crashing my pod (although this is likely more FUSE's fault than XArray's)

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  data_array.<tab> reads data 286448591

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