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ok to test
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> > Can we update the PR to use `description.uuid` first?
>
> Updated FileFormatWriter with description.uuid, attaching the
verification snapshot .
>
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> Can we update the PR to use `description.uuid` first?
Updated FileFormatWriter with description.uuid, attaching the verification
snapshot .
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@raghavgautam Can you update this pr based on my patch? (sorry, but I have
no time to take this over...)
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I simplified this PR to focus on `SparkPlan.getByteArrayRdd` only. Will
submit PR to fix range later.
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@dilipbiswal Can we resume this for v3.0?
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Github user rezasafi commented on the issue:
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The test failure isn't related to this change and it is most likely flaky.
I will push another patch shortly, but it will not address all the comments,
but most of them.
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Can we update the PR to use `description.uuid` first?
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do we have an umbrella JIRA to track all the breaking changes that make
Spark ANSI SQL compatible?
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@maryannxue ah, I see. Do you still keep working on this?
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@carsonwang what's your plan to merge this fix into master or some release?
thanks a lot!
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ping @niofire
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One clear thing looks adding some documentation ..
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Thank you @icexelloss, @gatorsmile, @BryanCutler and @viirya.
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Merged to master and branch-2.4.
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retest this please
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retest this please
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Btw, I checked our `_minimum_pyarrow_version` is 0.8.0, so seems like even
there is next upgrade available, for users with pyarrow versions before 0.11.0,
this is still an potential issue. Isn't?
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LGTM
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I think it is more reasonable to use the option when converting from Pandas
to raise an error for unsafe casts. It should be better than to display warning
message.
Not sure how long before
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> Yeah, it's part of pyarrow.Array now, but will only be in the 0.11.0
release so we would have to do it after the next upgrade.
Then I think we can wait for next upgrade to use this feature
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> It is pretty new one, is it said we need to upgrade to latest PyArrow in
order to use it? Since it is an option at Table.from_pandas, is it possible to
extend it to pyarrow.Array?
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> Thanks, @BryanCutler. WDYT about documenting the type map thing?
I think that would help in the cases of dates/times because those can get a
little confusing. For primitives, I think
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Thanks @BryanCutler! Looks like an useful option. It is pretty new one, is
it said we need to upgrade to latest PyArrow in order to use it? Since it is an
option at `Table.from_pandas`, is it
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