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@dongjoon-hyun i would hold off until we are certain that spark is
buildable in our environment w/python 3.5.
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i'm going to wait for my PRB to finish on the ubuntu node (it
passed/skipped that test that's hanging), so we can see how the python tests go.
after that i'll merge in any upstream
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Github user habren commented on the issue:
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Hi Takeshi Yamamuro Hyukjin Kwonâ and @viirya Can you take a look at this
patch?
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[JUST_TEST][NOT_MERGE] Test for VersionsSuite
## What changes were proposed in this pull request?
Few test cases in `VersionsSuite` continue to fail in my one PR. But it
isn't reproducible
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retest this please.
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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@@ -2799,6 +2799,26 @@ class SQLQuerySuite extends QueryTest with
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--- Diff: core/src/main/scala/org/apache/spark/Partitioner.scala ---
@@ -166,7 +169,16 @@ class RangePartitioner[K : Ordering : ClassTag, V](
//
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--- Diff:
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@@ -294,7 +296,12 @@ object ShuffleExchangeExec {
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Github user srowen commented on the issue:
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Yes, I agree about the future-proofing problem. However, at the moment, new
future cases will also not cause any compile problem, but will just also
trigger a MatchError. This is, simply, always a
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[SPARK-23939][SQL] Add transform_values SQL function
## What changes were proposed in this pull request?
This pr adds `transform_values` function which applies the function to each
entry of
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Github user squito commented on the issue:
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> We've found that python requires a lot less memory than it actually uses
because it doesn't know when to GC
yes, totally agree, sorry I wasn't clear in my initial comment -- overall I
Github user rdblue commented on the issue:
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> So if users don't set this conf, the behavior is the same as before,
right?
Yes.
> My concern is that meaning of the overhead parameter becomes pretty
confusing.
I think
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--- Diff:
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@@ -213,6 +216,12 @@ class SinkProgress protected[sql](
override
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--- Diff:
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@@ -198,11 +198,14 @@ class SourceProgress protected[sql](
*
Github user BryanCutler commented on the issue:
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Thanks @shaneknapp ! Sorry, I didn't realize that requirement changed..
I'm keeping my fingers crossed those builds run smoothly!!
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@BryanCutler still seeing the error popping up on
`org.apache.spark.unsafe.map.BytesToBytesMapOnHeapSuite.randomizedStressTest`.
Github user habren commented on the issue:
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Hi @maropu and @viirya Do you agree with the basic idea that we should take
column pruning in to consideration during splitting the input files?
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fack. this will be harder than just upgrading python on the workers:
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ok, i'll need to hack `python/run-tests.py` to support 3.5. doing that now
on my personal fork and relaunching a test.
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Github user ajacques commented on the issue:
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@mallman, while we wait for the go-no-go, do you have the changes for the
next PR ready? Is there anything you need help with?
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I set up a test PR for `VersionsSuite` at #22046.
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"are
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@BryanCutler . Shall we update the doc together in this PR?
- https://github.com/apache/spark/blame/master/docs/index.md#L29
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btw: yes. i am staring at build logs today.
does a watched build build faster? :\
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@BryanCutler BULLET DODGED. my new build made it past that weird mesos
bug! non-deterministic crap ftw!
```
the master-test-sbt-hadoop build got wedged in a concerning (but
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@gatorsmile I tried to implement the rewrites suggested in the original PR.
It does not seem very straightforward to me. The basic issue is, we are unable
to replace the aggregate expression
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