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[FEA] Implement more efficient parsing of dates and timestamp from JSON and CSV #4969

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andygrove opened this issue Mar 16, 2022 · 1 comment
Open

[FEA] Implement more efficient parsing of dates and timestamp from JSON and CSV #4969

andygrove opened this issue Mar 16, 2022 · 1 comment
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P1 Nice to have for release performance A performance related task/issue

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@andygrove
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Is your feature request related to a problem? Please describe.
PR #4938 makes timestamp parsing more compatible with Spark when reading from JSON and CSV but it is very expensive because it has to apply regular expressions as well as performing multiple passes with different cuDF formats.

Describe the solution you'd like
We should implement a custom kernel instead.

Describe alternatives you've considered
None

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@andygrove andygrove added feature request New feature or request ? - Needs Triage Need team to review and classify labels Mar 16, 2022
@andygrove andygrove mentioned this issue Mar 16, 2022
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@sameerz sameerz added performance A performance related task/issue and removed feature request New feature or request ? - Needs Triage Need team to review and classify labels Mar 22, 2022
@res-life
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res-life commented Mar 23, 2022 •
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I'm intrested in this, if nobody picks it, let me try.

@mattahrens mattahrens added the P1 Nice to have for release label May 11, 2022
@nvdbaranec nvdbaranec mentioned this issue May 25, 2022
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@revans2 revans2 mentioned this issue Oct 27, 2022
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@andygrove @mattahrens @sameerz @res-life