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Support spark.sql.parquet.datetimeRebaseModeInWrite=LEGACY #9132

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merged 16 commits into from
Sep 7, 2023

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@ttnghia ttnghia commented Aug 29, 2023

This adds support for LEGACY mode in spark.sql.parquet.datetimeRebaseModeInWrite, which allows writing ancient dates/times before 1582-10-15 with rebasing from Proleptic Gregorian calendar dates/times to Julian calendar dates/times.

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@ttnghia ttnghia added feature request New feature or request SQL part of the SQL/Dataframe plugin task Work required that improves the product but is not user facing labels Aug 29, 2023
@ttnghia ttnghia self-assigned this Aug 29, 2023
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ttnghia commented Aug 29, 2023

build

Signed-off-by: Nghia Truong <nghiatruong.vn@gmail.com>
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ttnghia commented Aug 29, 2023

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@ttnghia ttnghia changed the title Support spark.sql.parquet.datetimeRebaseModeInWrite Support spark.sql.parquet.datetimeRebaseModeInWrite=LEGACY Sep 1, 2023
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ttnghia commented Sep 1, 2023

build

@sameerz sameerz added the reliability Features to improve reliability or bugs that severly impact the reliability of the plugin label Sep 2, 2023
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
@ttnghia ttnghia marked this pull request as ready for review September 2, 2023 05:50
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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ttnghia commented Sep 7, 2023

build

Signed-off-by: Nghia Truong <nghiat@nvidia.com>
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ttnghia commented Sep 7, 2023

build

@ttnghia ttnghia merged commit 30dbef7 into NVIDIA:branch-23.10 Sep 7, 2023
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@ttnghia ttnghia deleted the rebase_timestamp branch September 8, 2023 14:21
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feature request New feature or request reliability Features to improve reliability or bugs that severly impact the reliability of the plugin SQL part of the SQL/Dataframe plugin task Work required that improves the product but is not user facing
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[FEA] Support spark.sql.legacy.parquet.datetimeRebaseModeInWrite=LEGACY
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