Github user jvican commented on the issue:
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I would be very happy to accept feedback on the latest spores
implementation https://github.com/scalacenter/spores/ and make them production
ready, possibly adding them into the language after a pote
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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
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Github user hvanhovell commented on the issue:
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Yes that would effectively be the same.
Do you think we should always call setters for reference types?
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Github user viirya commented on the issue:
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We don't invoke the setter if the input is null, sounds like we simply skip
calling the setter if the input is null?
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I think the semantic should be that we do not invoke the setter if the
input is null.
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retest this please.
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Github user ekrich commented on the issue:
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Interestingly, when searching for spores I ran across this post -
https://www.reddit.com/r/scala/comments/702lct/what_ever_happened_to_sip21_aka_scala_spores/
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@hvanhovell Looks like we have tests using null as value for setters. So
the added null check fails.
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@viirya I thought it passed tests, but your last change is causing errors.
I am going to revert this for now. Can you reopen? Sorry about this.
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Github user HyukjinKwon commented on the issue:
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I am sorry, the unit test uses many private classes, and I think I am not
getting the point of this change. Do you mind if I ask some code snippets?
I think `wholetext` is not related i
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@vanzin Sure we will try to comply the thing is pure mesos does not have an
api for secrets only DC/OS has one and we cannot bring that api in the Spark
project, otherwise I would just implement opti
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A few minor comments. Looks good otherwise.
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GitHub user WeichenXu123 opened a pull request:
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[SPARK-23859][ML] Initial PR for Instrumentation improvements: UUID and
logging levels
## What changes were proposed in this pull request?
Initial PR for Instrumentation improvements:
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retest this please.
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This pr will be merge soon? I'd like to use this in my pr:
https://github.com/apache/spark/pull/20965
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@HyukjinKwon Hello, the unit test describes the scene where this problem
occurred. You can run the unit test in the original system. Spark2.3 introduced
`wholetext` ( default `false`): If true,
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Github user rednaxelafx commented on a diff in the pull request:
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sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala
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@@ -257,6 +259,78 @@ case class HashAggregateExe
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