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retest this please
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--- Diff:
core/src/main/scala/org/apache/spark/metrics/source/StaticSources.scala ---
@@ -97,6 +97,12 @@ object HiveCatalogMetrics extends Source {
Github user ericl commented on a diff in the pull request:
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--- Diff:
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---
@@ -352,4 +353,28 @@ class
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@@ -105,6 +111,7 @@ object HiveCatalogMetrics extends Source {
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GitHub user felixcheung opened a pull request:
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[SPARK-18810][SPARKR] SparkR install.spark does not work for RCs, snapshots
## What changes were proposed in this pull request?
Support overriding the download url (include version
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -352,4 +353,28 @@ class
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -53,6 +56,18 @@ private[hive] class
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -352,4 +353,28 @@ class
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@@ -53,6 +56,18 @@ private[hive] class
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -53,6 +56,18 @@ private[hive] class
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--- Diff:
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@@ -97,6 +97,12 @@ object HiveCatalogMetrics extends Source {
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@@ -33,6 +35,7 @@ import
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Github user jamartinh commented on the issue:
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My humble comment is simply that an external Hive table still is a Hive
Table, and as such it should be transparent for whichever user how to work
with it, even for spark users like me. The
Github user rxin commented on the issue:
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sgtm
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Github user gatorsmile commented on the issue:
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cc @hvanhovell @ericl
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1225,15 +1225,37 @@ class Analyzer(
}
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@@ -1225,15 +1225,37 @@ class Analyzer(
}
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@@ -1225,15 +1225,37 @@ class Analyzer(
}
Github user asfgit closed the pull request at:
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Github user rxin commented on the issue:
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Merging in master/branch-2.1. Thanks.
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--- Diff:
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@@ -311,7 +335,10 @@ object FileFormatWriter extends
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--- Diff:
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@@ -117,7 +113,7 @@ class CoalescedPartitioner(val parent:
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Github user felixcheung commented on the issue:
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... that's actually what I meant with "we might want to pass the R
tempdir() along as a property" <-- this would be a new property and not
`spark.sql.warehouse.dir`
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Github user nsyca commented on the issue:
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@jiangxb1987: Let's hear other people's feedback. My thoughts are:
- According to the function prologue, `lookupRelations` seems to be a
perfect place to return a `LogicalPlan` representing
Github user Tagar commented on the issue:
https://github.com/apache/spark/pull/16228
@wzhfy, thanks for the feedback.
For outer joins, cardinaility estimates should be:
- left_outer_join_cardinality(table_A, table_B) = MAX(cardinality(A),
inner_join_cardinality(table_A,
Github user gatorsmile commented on a diff in the pull request:
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Github user shivaram commented on the issue:
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Or we could introduce a new property say spark.sql.default.warehouse and
set that to tmpdir()
On Dec 10, 2016 16:53, "Felix Cheung" wrote:
> I think
Github user felixcheung commented on the issue:
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I think we should only change `spark.sql.warehouse.dir` when we are loading
SparkR as a package. This should minimize changes in the case where we are
running in cluster mode and so on.
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/sparkR.R ---
@@ -362,6 +362,10 @@ sparkR.session <- function(
enableHiveSupport = TRUE,
...) {
+ if
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Github user actuaryzhang commented on the issue:
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@sethah Would you please review this? Thanks.
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@@ -514,6 +514,19 @@ case class
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Github user shivaram commented on the issue:
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@bdwyer2 One more thing: Is there a good way to test this ?
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Github user shivaram commented on a diff in the pull request:
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--- Diff: R/pkg/R/sparkR.R ---
@@ -362,6 +362,10 @@ sparkR.session <- function(
enableHiveSupport = TRUE,
...) {
+ if
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@bdwyer2 Feel free to open a JIRA as a sub-task under SPARK-15799
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Github user bdwyer2 commented on the issue:
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Should I open a JIRA under SPARK-15799 myself or leave that to one of the
admins?
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Github user HyukjinKwon commented on the issue:
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I see. Thank you both for your comments. (BTW, this should have a JIRA I
think.)
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Github user michalsenkyr commented on the issue:
https://github.com/apache/spark/pull/16240
Added support for arbitrary sequences.
Now also Queues, ArrayBuffers and such can be used in datasets (all are
serialized into ArrayType).
I had to alter and add new implicit
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/16247
@HyukjinKwon That is a good point. As @bdwyer2 says the question is one of
defaults. If the user does specify a more permanent location we will use that.
I wonder if we should print a warning or
Github user bdwyer2 commented on the issue:
https://github.com/apache/spark/pull/16247
@HyukjinKwon yes but we are restricted by CRAN policies
> Packages should not write in the usersâ home filespace, nor anywhere
else on the file system apart from the R sessionâs
Github user shivaram commented on the issue:
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Jenkins, ok to test
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Github user HyukjinKwon commented on the issue:
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I may missed something but isn't tmpdir per R's session? Maybe I should
have tried it first but I guess it wouldn't be accessible after the R session
is ended and another one is started. Is
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Can one of the admins verify this patch?
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GitHub user bdwyer2 opened a pull request:
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[MINOR][SparkR] set default spark-warehouse path to tempdir()
## What changes were proposed in this pull request?
Set the default location of `spark.sql.warehouse.dir` to be compliant with
Github user SparkQA commented on the issue:
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16145#discussion_r91841529
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/ShuffledRowRDD.scala ---
@@ -117,7 +113,7 @@ class CoalescedPartitioner(val parent:
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16157#discussion_r91841458
--- Diff: docs/programming-guide.md ---
@@ -347,7 +347,7 @@ Some notes on reading files with Spark:
Apart from text files, Spark's Scala API also
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/16033
Hm, I am just concerned about all the questions this raises. These jobs
wouldn't be deterministic anymore, and this isn't really a way to deal with
skew. I don't think this is something we shoudl
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/16210
I'm still not clear how to reproduce this. I can't repro with Java 8,
Debian, on 2.x. Is this really necessary or somehow band-aiding some other
deployment problem? that is, why does this work for
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/16212
Let's close this if there's no pressing need to update. Spark actually
doesn't touch most of Hadoop, just client APIs.
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Github user srowen commented on the issue:
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Ping @anabranch for one more round of edits
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Github user asfgit closed the pull request at:
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Github user asfgit closed the pull request at:
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Merged to master
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16242
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