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1.No need to loop twice to filter to determine if the length is greater
than 0
2.This feature is to improve performance, the default switch needs to open
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@gatorsmile I think the PR description here is great and very detailed,
what exactly is wrong and scary?
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--- Diff: pom.xml ---
@@ -129,7 +129,7 @@
1.2.1
10.12.1.1
-1.8.2
+1.10.0
--- End diff --
I excluded
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thank you for review and commit @jerryshao !
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+/*
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Can one of the admins verify this patch?
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package
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I agree with what @srowen said:
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In SQL, the sort in a subquery doesn't make sense because of the relational
model - the output of a subquery is an unordered bag of tuples. Some engines
still allow the sort, some silently drop it
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LGTM
Merging with master
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This was a bug fix from my perspective and looked to be low risk. I don't
think this changes any behavior for the user, except if you do a `collect` from
pyspark and have a
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I like this, but you'll need people with authority to trigger the builds
and reviews.
There's some discussion kicked off last week on the ASF incubator about the
fact that htrace has
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GitHub user ludatabricks opened a pull request:
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[SPARK-23975][ML]Allow Clustering to take Arrays of Double as input features
## What changes were proposed in this pull request?
- Multiple possible input types is added in
Github user rdblue commented on the issue:
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@devaraj-kavali, do you have any measurements to quantify how this impacts
overall performance? We would want to know before releasing this for use
because using HTrace means having it on all the
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LGTM
Merging with master
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Hi, sorry I let this PR get stale. This should be resolved now by
https://github.com/apache/spark/pull/21044 so would you mind closing this issue
@badriub ? Thanks though!
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Github user gatorsmile commented on the issue:
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@mgaido91 This is a common rule. Last year, @dilipbiswal @ioana-delaney
@nsyca and I had a discussion about this. We forgot to continue the efforts
after finishing the first stage of the
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jenkins, retest this please
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