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de
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Github user gaborgsomogyi commented on the issue:
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> Just curious how this happened?
I've taken a look at 2 logs you've shown and seen the same pattern. Namely
the test which killed threads passed and right after the upcoming test stuck in
Github user viirya commented on a diff in the pull request:
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--- Diff:
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---
@@ -120,13 +216,15 @@ object JavaCode {
trai
Github user jiangxb1987 commented on a diff in the pull request:
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--- Diff:
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---
@@ -114,7 +114,8 @@ case class WindowExec(
* @para
Github user viirya commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,190 @@
+/*
+ * Licensed to
Github user juliuszsompolski commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -3184,6 +3191,7 @@ setMethod("create_map",
#' collect(select(df2, collect_list(df2$gear)))
#' collect
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -963,6 +964,7 @@ setMethod("kurtosis",
#' last(df$c, TRUE)
#' }
#' @note last since 1.4.0
+#' @no
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--- Diff:
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@@ -153,23 +153,17 @@ class DataFrameRangeSuite extends QueryTest
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--- Diff: R/pkg/R/functions.R ---
@@ -963,6 +964,7 @@ setMethod("kurtosis",
#' last(df$c, TRUE)
#' }
#' @note last since 1.4.0
+#
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+/*
Github user jiangxb1987 commented on the issue:
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> but the thread killing left the shared SparkContext sometimes in a state
where further jobs can't be submitted.
Just curious how this happened?
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Github user HyukjinKwon commented on the issue:
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@cloud-fan, the change seems fine but would there be any clever trick to
test this? Seems we could very likely do the similar thing by mistake.
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}
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Github user lokm01 commented on the issue:
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@maropu Thanks! Didn't know about creating a literal this way.
Don't you feel that the suggested change is way more elegant?
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ok to test
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--- Diff: python/pyspark/sql/functions.py ---
@@ -151,13 +151,15 @@ def _():
_collect_list_doc = """
Aggregate function: returns a li
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--- Diff: R/pkg/R/functions.R ---
@@ -818,6 +818,7 @@ setMethod("factorial",
#' first(df$c, TRUE)
#' }
#' @note first(characterOrColumn) s
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@@ -94,9 +94,10 @@ object Rand {
}
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -561,6 +571,7 @@ object functions {
* The function by default retur
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Like this?
```
scala> val structTy = StructType.fromDDL("a ARRAY>")
structTy: org.apache.spark.sql.types.StructType =
StructType(StructField(a,ArrayType(StructType(StructField(b,IntegerTyp
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Can one of the admins verify this patch?
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@juliuszsompolski please, look at it.
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[SPARK-24171] Adding a note for non-deterministic functions
## What changes were proposed in this pull request?
I propose to add a clear statement for functions like `collect_list()`
about
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@maropu That would work if you had scala case classes for all the types. In
our case, we're working on a generic framework, where we only have Spark
schemas (and I'd rather not generate case classes
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thanks, merging to master/2.3!
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Simple scan benchmarks:
code:
https://github.com/apache/spark/compare/master...maropu:DataSourceReadBenchmark
master: https://gist.github.com/maropu/a767d21ed1dd047ec2bdca92915dc5c5
this p
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retest this please
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[SPARK-24133][SQL] Check for integer overflows when resizing
WritableColumnVectors
`ColumnVector`s store string data in one big byte array. Since the array
size is capped at just under Integer.MAX_VAL
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