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Github user njwhite commented on the issue:
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Actually, @kayousterhout - I'm not entirely sure what you expect for the
semantics of maxShares in general. Maybe a worked example would help: if I have
a pool X with 5 running tasks from Taskset A
Github user tnachen commented on the issue:
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I ran `mvn test` inside of the mesos folder.
On Thu, Oct 13, 2016 at 3:21 AM, Chris Heller
wrote:
> You saw the error with `./dev/run-tests`? Ok I'll
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Github user robbinspg commented on the issue:
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Tests all pass on big-endian with this PR
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GitHub user cloud-fan opened a pull request:
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[SPARK-17909][SQL] we should create table before writing out the data in
CTAS
## What changes were proposed in this pull request?
In `CreateDataSourceTableAsSelectCommand`, we write out
Github user tejasapatil commented on the issue:
https://github.com/apache/spark/pull/15272
@rxin : Yes. I looked at it but could not find the root cause. I have been
busy with other stuff so could not invest more time. I plan to get this fixed
over the weekend.
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@rxin : Yes. I think I know why its happening and will get back with a fix
over weekend.
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Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1255,27 +1255,46 @@ class DAGScheduler(
s"longer
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Github user BenFradet commented on the issue:
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@manugarri I don't think there was much interest in this PR.
Would you care to weigh in @jkbradley @yanboliang?
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Github user techaddict commented on the issue:
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@shivaram @srowen not sure why its failing, will try to fix this ASAP.
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Github user njwhite commented on the issue:
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@kayousterhout minShares is a configuration parameter for the fair
scheduler algorithm only - what would the semantics of a maxShares setting for
the FIFO algorithm be?
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cc @yhuai @gatorsmile
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GitHub user wangyum opened a pull request:
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[SPARK-13983][SQL] HiveThriftServer2 can not get "--hiveconf" or
''--hivevar" variables since 1.6 version (both multi-session and single session)
## What changes were proposed in this pull
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/15436
Well, I'm sure the flume assembly has the classes in question here, and I'm
sure it's being added to `--jars` when pyspark is run for the tests. I'm still
trying to figure out what's wrong here.
Github user jrshust commented on the issue:
https://github.com/apache/spark/pull/15446
@felixcheung jrshust as well.
I'm the reporter of the JIRA ticket:
https://issues.apache.org/jira/browse/SPARK-17882
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Github user mallman commented on the issue:
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I've pushed an update to `ParquetMetastoreSuite` that illustrates the bug
(or "limitation") WRT support for mixed-case partition columns I discovered
yesterday. To reiterate, this is not a
GitHub user kiszk opened a pull request:
https://github.com/apache/spark/pull/15467
[SPARK-17192][SQL] Refactor code generation to get data for
ColumnVector/ColumnarBatch
## What changes were proposed in this pull request?
This PR refactors the code generation part to get
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15421
Last night, I debugged the problem again. Now I can reproduce it as follows:
> a <- as.Date("2016-10-01", "NA")
> b <- as.data.frame(a)
> c <- createDataFrame(b)
> a
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Github user weiqingy commented on the issue:
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Utils#classForName will make maven build fail, please do not use it before
figure out : https://issues.apache.org/jira/browse/SPARK-17714. The failure is
here:
Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/11105#discussion_r83270945
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1251,7 +1251,22 @@ class SparkContext(config: SparkConf) extends
Logging with
Github user shivaram commented on the issue:
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I updated the JIRA. @jrshust could you close this PR ? We don't have
permission to close PRs and only PR authors can do it
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Github user mgummelt commented on the issue:
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LGTM @srowen
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Github user vlad17 commented on the issue:
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@jkbradley Re test scripts:
`res8: Double = 0.5193104784040287` is the value outputted by `counts.max /
counts.sum`. Indeed, it's just a sanity check that the value isn't 1 - i.e., we
don't
GitHub user kiszk opened a pull request:
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[SPARK-17915][SQL] Prepare a new ColumnVector implementation for UnsafeData
## What changes were proposed in this pull request?
This PR prepares a new implementation
Github user vlad17 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14547#discussion_r83278169
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/util/GBTSuiteHelper.scala ---
@@ -0,0 +1,271 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user vlad17 commented on a diff in the pull request:
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/util/GBTSuiteHelper.scala ---
@@ -0,0 +1,271 @@
+/*
+ * Licensed to the Apache Software Foundation
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Github user gatorsmile commented on the issue:
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Checked it with @huaxingao who worked for JDBC driver team before. Yeah, we
are unable to do it using JDBC. In my previous team, we did it using the native
connection methods instead of JDBC. It
Github user vlad17 commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,271 @@
+/*
+ * Licensed to the Apache Software Foundation
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Github user hvanhovell commented on the issue:
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Merging to master. Thanks!
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Github user srowen commented on the issue:
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@weiqingy all the Maven/SBT builds pass now, are you sure this is still an
issue? I know the PR builder is just using SBT, yes, but thought we had fixed
this.
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--- Diff:
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@@ -369,9 +369,11 @@ trait MesosSchedulerUtils
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala
---
@@ -223,15 +278,18 @@ private object GBTClassifierSuite
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Github user andrewor14 commented on the issue:
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Yes that's why it's `internal`
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Before 28/Sep/16, using Utils#classForName could pass the PR builder, but
would fail the Spark QA tests in master Maven builds. Unit now (from 28/Sep/16
- now), if there is no change in maven
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--- Diff:
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@@ -916,21 +931,26 @@ case class
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Github user ericl commented on the issue:
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MiMa is supposed to detect binary incompatible changes. Looking at the
console output though, it seems like MiMa just crashed.
Running `./dev/mima` locally worked though, so maybe it was some
Github user koeninger commented on a diff in the pull request:
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--- Diff:
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---
@@ -256,8 +269,6 @@ private[kafka010] case class
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@@ -270,7 +281,7 @@ private[kafka010] case class
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> This patch fails MiMa tests.
I've never seen this before. What does this mean?
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Github user zsxwing commented on the issue:
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> My main point is that whoever implements SPARK-17812 is going to have to
deal with the issue shown in SPARK-17782, which means much of this patch is
going to need to be changed anyway.
Github user vlad17 commented on a diff in the pull request:
https://github.com/apache/spark/pull/14547#discussion_r83285393
--- Diff: python/pyspark/ml/regression.py ---
@@ -1003,20 +1003,20 @@ class GBTRegressor(JavaEstimator, HasFeaturesCol,
HasLabelCol, HasPredictionCol,
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/14963
@Stibbons however the problem is the virtualenv that gets created when a
user is in a conda enviroment is partially broken.
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/CatalystTypeConvertersSuite.scala
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@@ -61,4 +63,39 @@ class
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https://github.com/apache/spark/pull/13713
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/15460
cc @ericl
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Github user AmplabJenkins commented on the issue:
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Github user tdas commented on the issue:
https://github.com/apache/spark/pull/15307
@marmbrus @brkyvz @zsxwing @koeninger Thank you very much for your
feedback. I am going to merge this to master. I will open a different PR to
merge this to branch 2.0
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https://github.com/apache/spark/pull/15468
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