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add to whitelist
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Update the title to `[SPARK-22266][SQL] The same aggregate function was
evaluated multiple times`
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Can one of the admins verify this patch?
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GitHub user maryannxue opened a pull request:
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SPARK-22266 The same aggregate function was evaluated multiple times
## What changes were proposed in this pull request?
To let the same aggregate function that appear multiple times in
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Thank you, @gatorsmile . Sure, I agree.
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Thanks! Merged to master
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One minor comment doesn't affect this. LGTM.
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Github user viirya commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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BTW, we are unable to merge this to Spark 2.2 although this is a bug fix.
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LGTM cc @cloud-fan
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Will check it if I am not confident next time.
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Github user gatorsmile commented on the issue:
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Ok. Next time, please check it with the committers who are familiar with
Spark SQL.
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I did this as I was confident if it is a bug because doc says it should
work but actually not, without breaking the previous support.
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LGTM too.
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This one starts at least since Spark 1.5. If you are not confident whether
this is bug or not, please check it before merging it.
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thanks for the review, merging to master!
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Github user HyukjinKwon commented on the issue:
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How come fixing the behaviour as documented is not a bug fix? I think that
basically mean we don't backport fixes for things not working as documented for
other internal configurations.
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Thanks! Merged to 2.2. Could you close this?
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LGTM, pending jenkins
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Github user gatorsmile commented on the issue:
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That conf is an internal one. The end users will not see it. This is not a
bug fix.
We should not extend the existing functions or introduce new
behaviors/features in 2.2.x releases.
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Since the risk is low, I did not revert it.
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cc @gengliangwang Review this?
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Hi, @gatorsmile and @cloud-fan .
Could you review this again, too?
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@tejasapatil Thank you for your comment. I hope that benchmark result is a
response to concern about virtual method raised by @hvanhovell.
@hvanhovell **What do you think?**
As a long
Github user dongjoon-hyun commented on the issue:
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@cloud-fan . Thank you so much for review!
I updated the PR except one: If`fieldValue` is `null`, we also use
`setNull` again in `else`. So, the current one is simpler.
```scala
if
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I think this is a bug to fix as the previous behaviour does not work as
documented:
```
subclass of org.apache.hadoop.mapreduce.OutputCommitter...
```
and does not
Github user tejasapatil commented on the issue:
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At high level, this idea is good and worth moving forward with. I still
have to dig into your analysis in response to concern raised by @hvanhovell.
In terms of the PR itself, is the
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Sure, I agree with you. I will try performance evaluation for other methods
like `getByte()`, and so on.
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I pulled up frequency of methods from `UTF8String` which are being invoked
from FB prod clusters and picked top 25.
```
.writeToMemory()
.getBytes()
.toString()
Github user tejasapatil commented on the issue:
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Apart from `UTF8String.trim`, can you try other some other method ? If we
have to eval perf., its better to pick a method which would be most frequently
used... if I have to guess, `trim()`
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@tgravescs These generic headers are about providing available client-side
protection for the application. I also think even if there is no sensitive data
to formulate an attack by itself
Github user rxin commented on the issue:
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Actually you already have it in the classdoc, so please just update the pr
description with it.
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Github user rxin commented on the issue:
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Can you update the pr description with an example plan before / after this
optimization, and also put that example in the comment section of the doc.
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This is not eligible for backporting. We should not do it next time.
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Sorry, realized I conflated feature subsampling and `subsampleWeights`
(instance weights for training examples). IMO feature subsampling can be added
in a follow-up PR, but `subsampleWeights`
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that will be great, thanks @tejasapatil !
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LGTM except some minor comments
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>> I'll refactor it later, to use requiredChildOrdering to do the sort.
The hive bucketing PR does that :
https://github.com/apache/spark/pull/19001 I can isolate that piece and put
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19476#discussion_r144456522
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -426,4 +426,11 @@ package object config {
.toSequence
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/19483
I'll refactor it later, to use `requiredChildOrdering` to do the sort. I
just wanna make this bug fix as simple as possible.
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