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retest this please
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Branch 2.2
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this patch
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Github user BryanCutler commented on the issue:
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This is working now, and BinaryType support is conditional on pyarrow
0.10.0 or higher being used. @HyukjinKwon @cloud-fan what are your thoughts on
getting this in for Spark 2.4? I think it
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We are fully swamped by the hotfix and regressions of 2.3 release and the
new features that are targeting to 2.4. We should post some comments in this PR
earlier.
Designing an IR for
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cc @ueshin
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Github user deshanxiao commented on the issue:
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@vanzin Sorry..SPARK-22850 has fix the problem. Maybe I will track the
executor lose problem next. Thank you! @vanzin @squito
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@@ -51,3 +51,12 @@ select exists(ys, y -> y > 30) as v from nested;
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@@ -246,6 +245,16 @@ class BisectingKMeans private (
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Github user srowen commented on the issue:
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Huh OK I thought I looked and this had been fixed. Good catch. Also there's
an instance in `cloud-integration.md`, worth fixing too.
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Github user HeartSaVioR commented on the issue:
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@tdas Kindly reminder.
@zsxwing Could you take a quick look at this and share your thought? I
think the patch is ready to merge, but blocked with slightly conflict of view
so more voices
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@tdas Kindly reminder.
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I have already done the global search. That is the only place needs change.
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LGTM.
@mn-mikke @mgaido91 Do you have any other comments on this?
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Github user KraFusion commented on the issue:
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@HyukjinKwon the same instance did exist in the spark website repo, PR has
been merged.
Not sure what to change the title to, the PR instructions don't cover
simple typo fixes in
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Mind fixing Python / R / SQL ones while we are here?
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Github user HyukjinKwon commented on the issue:
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@KraFusion, mind double checking if there's same instance and fixing the PR
title to reflect the change? Also should be good to read
https://spark.apache.org/contributing.html even though it's
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ok to test
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@squito @vanzin Thanks, the first time I find it in our cluster is
Spark2.1. Spark2.1 has the method `setupAndStartListenerBus` too, but it still
looks like wrong. The phenomenon of executor
Github user HyukjinKwon commented on the issue:
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Yea, yea. I understand. I wasn't trying to say the severity of effect by
introducing AnalysisBarrier wasn't trivial. True, I understand it is not an
easy job. Thank you Reynold for that. Yea,
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[SPARK-23654][BUILD] remove jets3t as a dependency of spark
# What changes were proposed in this pull request?
Remove jets3t dependency, and bouncy castle which it brings in; update
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Github user habren commented on the issue:
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Hi @HyukjinKwon I moved the change to master branch just now. Please help
to review
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}
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Update configuration.md
changed $SPARK_HOME/conf/spark-default.conf to
$SPARK_HOME/conf/spark-defaults.conf
no testing necessary as this was a change to documentation.
You can merge
Github user mallman commented on the issue:
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>> Hello, we've been using your patch at Stripe and we've found something
that looks like a new bug:
>
> Thank you for sharing this, @xinxin-stripe. This is very helpful. I will
investigate
Github user cloud-fan commented on the issue:
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@rdblue I really appreciate your work for adding these new logical plans,
and they are indeed incremental: when you add `AppendData`, you change
`DataFrameWriter` to only create `AppendData` if
Github user gatorsmile commented on the issue:
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To Spark users, introducing AnalysisBarrier is a disaster. However, to the
developers of Spark internal, this is just a bug. If you served the customers
who are heavily using Spark, you will
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Github user jiangxb1987 commented on the issue:
https://github.com/apache/spark/pull/22101
ping @gatorsmile @mridulm @squito
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