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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1107,6 +1107,14 @@ object functions {
*/
def
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--- Diff: R/pkg/NAMESPACE ---
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"initcap",
"input_file_name",
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--- Diff: R/pkg/R/generics.R ---
@@ -695,6 +695,12 @@ setGeneric("getField", function(x, ...) {
standardGeneric("getField") })
#' @rdname
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@@ -907,6 +907,17 @@ setMethod("initcap",
column(jc)
})
+#' @details
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--- Diff: R/pkg/R/functions.R ---
@@ -3006,6 +3008,27 @@ setMethod("array_contains",
column(jc)
})
+#'
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--- Diff:
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@@ -59,38 +62,62 @@ class HiveClientSuite(version: String)
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retest this please
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Github user cloud-fan commented on the issue:
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My point is that, we may have a different design if we wanna solve this
problem holistically, which may conflict with this patch. We should prove that
this is in the right direction and future
Github user HeartSaVioR commented on the issue:
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@jose-torres
Ah yes I forgot that shallow copy has been occurring, so while new map
should hold necessary size of map entries but row object will be shared across
versions. Thanks for
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Github user srowen commented on the issue:
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Merged to master. Probably Ok to backport if anyone feels strongly about
it, but, let's let 2.3.1 and other imminent releases go out first.
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+1 on @JoshRosen 's ideas.
I've already seen several overflow fixes from @kiszk , it will be good if
we have some tools to check it, even we need to run the tool manually. One idea
may
Github user cloud-fan commented on the issue:
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also cc @vanzin , This is a bug fix that should be backported, but it's not
a regression and not critical, so it should not block the release. That said,
if the current RC passes, this fix will
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[SPARK-24369][SQL] Correct handling for multiple distinct aggregations
having the same argument set
## What changes were proposed in this pull request?
bring back
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*/
def
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--- Diff: R/pkg/R/functions.R ---
@@ -907,6 +907,30 @@ setMethod("initcap",
column(jc)
})
+#' @details
+#'
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--- Diff:
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@@ -199,6 +199,50 @@ case class Nvl2(expr1:
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})
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+#'
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--- Diff: R/pkg/R/functions.R ---
@@ -907,6 +907,30 @@ setMethod("initcap",
column(jc)
})
+#' @details
+#'
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--- Diff: R/pkg/R/functions.R ---
@@ -907,6 +907,30 @@ setMethod("initcap",
column(jc)
})
+#' @details
+#'
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--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
@@ -1518,6 +1518,16 @@ test_that("column functions", {
result <- collect(select(df,
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--- Diff: R/pkg/NAMESPACE ---
@@ -281,6 +281,8 @@ exportMethods("%<=>%",
"initcap",
"input_file_name",
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"initcap",
"input_file_name",
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Github user skonto commented on the issue:
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Thnx @felixcheung !
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@@ -141,26 +141,14 @@ public void fetchChunk(
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--- Diff:
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@@ -38,15 +38,24 @@
*
* This method
Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the
Github user JoshRosen commented on the issue:
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Hey @kiszk, thanks for tracking this down. This change looks good to me.
I have a couple of questions, mostly aimed towards figuring out how we can
categorically solve this problem:
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
@@ -1518,6 +1518,16 @@ test_that("column functions", {
result <- collect(select(df,
Github user JoshRosen commented on the issue:
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Feel free to do the TTL in a followup. My feeling is that it won't be super
useful in practice, though:
1. Cleanup of non-shuffle disk block manager files following executor exit
only
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -3006,6 +3008,28 @@ setMethod("array_contains",
column(jc)
})
+#'
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--- Diff: R/pkg/R/functions.R ---
@@ -3006,6 +3008,28 @@ setMethod("array_contains",
column(jc)
})
+#'
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -390,7 +390,7 @@ class Dataset[T] private[sql](
*/
// This is
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cc @cloud-fan
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Minor changes don't need a JIRA. lets avoid next time btw.
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https://github.com/apache/spark/pull/21485
that's fine but mind taking another look and see if there are other typos
while we are here? I'm pretty sure there are more.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21482
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Github user SparkQA commented on the issue:
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