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[BUG] In CSV parsing a date from a timestamp formatted column produces incorrect results #869

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revans2 opened this issue Sep 28, 2020 · 1 comment
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bug Something isn't working duplicate This issue or pull request already exists P2 Not required for release SQL part of the SQL/Dataframe plugin

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@revans2
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revans2 commented Sep 28, 2020

Describe the bug
In the integration tests for csv test_basic_read for ts.csv when the schema says it should be a date produces results that cause an error when pulling them back to python because they are outside of the range that is supported by python, but the input year is 2020.

This was originally marked as #122 but that was recently fixed in cudf, but this issue remains.

@revans2 revans2 added bug Something isn't working ? - Needs Triage Need team to review and classify P2 Not required for release SQL part of the SQL/Dataframe plugin and removed ? - Needs Triage Need team to review and classify labels Sep 28, 2020
@sameerz sameerz added the duplicate This issue or pull request already exists label Nov 10, 2020
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sameerz commented Nov 10, 2020

This is a duplicate of issue #1091. We will keep that issue since it has more detail.

A side note, we need to update the documentation to refer to this issue.

@sameerz sameerz closed this as completed Nov 10, 2020
tgravescs pushed a commit to tgravescs/spark-rapids that referenced this issue Nov 30, 2023
…IDIA#869)

Signed-off-by: spark-rapids automation <70000568+nvauto@users.noreply.github.com>

Signed-off-by: spark-rapids automation <70000568+nvauto@users.noreply.github.com>
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Labels
bug Something isn't working duplicate This issue or pull request already exists P2 Not required for release SQL part of the SQL/Dataframe plugin
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