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--- Diff: core/src/main/scala/org/apache/spark/ui/UIUtils.scala ---
@@ -506,4 +510,33 @@ private[spark] object UIUtils extends Logging {
def
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[SPARK-21055][SQL][FOLLOW-UP] replace grouping__id with grouping_id()
## What changes were proposed in this pull request?
Simplifies the test cases that were added in the PR
https://github.c
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Github user dongjoon-hyun commented on the issue:
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Thank you for review, @gatorsmile ! I updated the PR.
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/types.py ---
@@ -1619,11 +1619,39 @@ def to_arrow_type(dt):
arrow_type = pa.decimal(dt.precision, dt.scale)
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LGTM
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--- Diff:
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@@ -2202,56 +2202,64 @@ abstract class DDLSuite extends Quer
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Thanks! Merged to master.
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+/*
--- End diff --
Github user HyukjinKwon commented on the issue:
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Thanks, I have been following it @shivaram and @felixcheung. Separate JIRA
sounds good to me and I am okay witn merging it.
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LGTM too BTW.
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@gatorsmile JIRA created.
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Hi, @gatorsmile . Could you review this PR?
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Github user sitalkedia commented on the issue:
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I think other PR is fixing one more issue on top of runningTasks being
negative, so we can proceed with the other one. What do you think @jerryshao ?
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--- Diff: python/pyspark/mllib/classification.py ---
@@ -173,7 +173,7 @@ def __init__(self, weights, intercept, numFeatures,
numClasses):
s
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/JobsTab.scala ---
@@ -16,9 +16,9 @@
*/
package org.apache.spark.ui.jobs
-
+im
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@@ -0,0 +1,180 @@
+/*
--- End diff --
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--- Diff: python/pyspark/mllib/classification.py ---
@@ -173,7 +173,7 @@ def __init__(self, weights, intercept, numFeatures,
numClasses):
s
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--- Diff: python/pyspark/mllib/classification.py ---
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numClasses):
s
Github user ambauma commented on the issue:
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I'm not looking for an official release. My goal is to get the fix into
the official branch 1.6 to reduce the number of forks necessary and so that if
CVE-2018- comes and I've moved on my repla
Github user pmackles commented on the issue:
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@felixcheung - fixed scala-style issues and also updated the docs to
include the new property
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Github user srowen commented on the issue:
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I think we can safely merge this change as it clearly passes any tests
whose functionality it would affect. We could defer further discussion about
what to do about CRAN versions elsewhere, yes.
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Github user foxish commented on the issue:
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@vanzin, you were right, the YARN constants were left overs and made no
sense wrt k8s. We discussed it in our weekly meeting - it was simply dead code.
I've addressed most of the style comments and t
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[SPARK-21929][SQL] Support `ALTER TABLE table_name ADD COLUMNS(..)` for ORC
data source
## What changes were proposed in this pull request?
When SPARK-19261 implements `ALTER TABLE A
Github user BryanCutler commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/types.py ---
@@ -1619,11 +1619,39 @@ def to_arrow_type(dt):
arrow_type = pa.decimal(dt.precision, dt.scale)
Github user wesm commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/types.py ---
@@ -1619,11 +1619,39 @@ def to_arrow_type(dt):
arrow_type = pa.decimal(dt.precision, dt.scale)
e
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--- Diff: python/pyspark/sql/types.py ---
@@ -1619,11 +1619,39 @@ def to_arrow_type(dt):
arrow_type = pa.decimal(dt.precision, dt.scale)
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arrow_type = pa.decimal(dt.precision, dt.scale)
e
Github user shivaram commented on the issue:
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Good point. I'm not sure it counteracts it completely. We should run it to
see the behavior I guess.
I am not a big fan of mucking with Jenkins versions because it
fundamentally looks like
Github user felixcheung commented on the issue:
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link to 1.6 PR #19528
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--- Diff: python/pyspark/streaming/kafka.py ---
@@ -58,6 +60,7 @@ def createStream(ssc, zkQuorum, groupId, topics,
kafkaParams=None,
Github user felixcheung commented on a diff in the pull request:
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--- Diff: python/pyspark/streaming/flume.py ---
@@ -56,6 +56,7 @@ def createStream(ssc, hostname, port,
.. note:: Deprecated in 2.3.0
Github user felixcheung commented on the issue:
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could you update the PR title to say `[BACKPORT-2.0]` instead of `[2.0]`.
also please type to PR # for the earlier commit to link them here.
you mention there is a discussion, could you
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ignore SparkR test failure for now, we are looking into it.
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test this please
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Github user juanrh commented on the issue:
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Hi @vanzin and @tgravescs, do you have any other comments on this proposal?
Thanks,
Juan
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Github user felixcheung commented on the issue:
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I haven't tried it, but it might sound like it will counter-act -as-cran
check sets completely?
```
R_CHECK_CRAN_INCOMING_
Check whether package is suitable for publication on CRAN. D
Github user felixcheung commented on the issue:
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whoa.
`_R_CHECK_CRAN_INCOMING_= false` sounds like the right approach. I'm a bit
concerned with blindly letting through one more warning though, perhaps grep
for the specific warning text an
Github user HyukjinKwon commented on the issue:
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Thanks for explanation. I guess there would be a big doc change soon? Will
check those changes too.
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Github user shivaram commented on the issue:
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We didn't foresee this but it looks like `R CMD check --as-cran` throws
this error if we try to build a package with a version number older than the
one uploaded to CRAN.
There are a coupl
Github user gatorsmile commented on the issue:
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Could you open a JIRA?
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Thanks! Merged to master.
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LGTM
Let us resolve the issue as the follow-up PR.
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retest this please
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@jiangxb1987 will reorg the existing Spark SQL doc. We can think about how
to put this into the new version of Spark SQL doc.
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Github user gatorsmile commented on the issue:
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The reference manual and API docs are different. Below is a link of DB2 LUW:
http://www-01.ibm.com/support/docview.wss?uid=swg27038855
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@vanzin Ping, would you mind reviewing this PR?
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@ArtRand - WDYT? I was going to switch it to ```SPARK_DISPATCHER_MEMORY```
but then I noticed that the other env vars for MesosClusterDispatcher or also
prefixed with ```SPARK_DAEMON_*``` so I thou
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Github user icexelloss commented on the issue:
https://github.com/apache/spark/pull/19544
cc @cloud-fan @ueshin @HyukjinKwon @gatorsmile @viirya
To continue the discussion on #19505
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GitHub user icexelloss opened a pull request:
https://github.com/apache/spark/pull/19544
[SPARK-22323] Design doc for pandas_udf
I open this PR so we can have a place to discuss the design.
We don't necessary need to merge a md file for the doc - this be embeded
python do
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/19543
Can one of the admins verify this patch?
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GitHub user pmackles opened a pull request:
https://github.com/apache/spark/pull/19543
[SPARK-19606][MESOS] Support constraints in spark-dispatcher
## What changes were proposed in this pull request?
A discussed in SPARK-19606, the addition of a new config property named
"s
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/19485
@gatorsmile, sure, detailed doc is great and defintely I support it.
Just one thing I am worried of is duplication. If we add or change option,
we have to update those together and .. y
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/18974
Hi, All.
Two more Arrow releases seem to be out. How about the Python side? Can we
catch up some?
- 0.7.1 (1 October 2017)
- 0.7.0 (17 September 2017)
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Github user AmplabJenkins commented on the issue:
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Github user SparkQA commented on the issue:
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