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Good catch! The currently behaviour looks wierd to me, how does hive handle
this? cc @yhuai
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```
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ping @davies
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Unify dependencies entry
a small change
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/suyanNone/spark unify-getDependency
Alternatively you
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Github user NarineK commented on the pull request:
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Hi there,
If we want to have many output variables, we'll need to add wrapper class
e.g. OptimizeResult which will embrace all those output variables.
Since
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Finally I got all-pass! Pleace review the codes!
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--- Diff:
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---
@@ -0,0 +1,112 @@
+/*
+ * Licensed to the Apache
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Rebased.
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Some quick screenshots to show the ordering depending of the executor ID
(without the sorting, we have the table rows in any order).
Sorting asc:
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GitHub user vikasnp opened a pull request:
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[SPARK-11549][Docs] Replace example code in mllib-evaluation-metrics.md
using include_example
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Github user jerryshao commented on the pull request:
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"spark.streaming.receiver.maxRate" in `RateLimiter`.
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Github user yaooqinn commented on the pull request:
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For my questions in my last comment
### continuous
```scala
scala> import org.roaringbitmap._
import org.roaringbitmap._
scala> val r = new
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Github user tdas commented on the pull request:
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#9669 has been merged. please merge with master and test the PR again.
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Github user srowen commented on the pull request:
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Here, we are talking about modifying shell commands presented in docs, not
in `.sh` files. Your point is that the shell _does_ matter right?
The `.sh` files in
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Jenkins, retest this please
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I modified the code that was pointed out.
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--- Diff:
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Github user liancheng commented on the pull request:
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LGTM except for a few minor styling issue. I can merge it right after you
fix them.
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retest this please
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@HyukjinKwon The spell is "retest this please" :)
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@yu-iskw Sorry for being late, I'm do right now.
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/MapStatus.scala ---
@@ -154,15 +155,17 @@ private[spark] class HighlyCompressedMapStatus
private (
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in R the general formula for correlation is the following:
cor(x, y = NULL, use = "everything", method = c("pearson", "kendall",
"spearman"))
in #9366 is the
Github user jerryshao commented on the pull request:
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For other receiver-based stream there also has a max rate cap, so my
question is that why are you only address here in direct Kafka stream?
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I just tried to scan current codebase and can't find where the rate cap is
actually used in other receiver-based streams. There is
`spark.streaming.backpressure.enabled`
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9642#issuecomment-156382669
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9667#issuecomment-156382506
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