Github user mgummelt commented on a diff in the pull request:
https://github.com/apache/spark/pull/13713#discussion_r83271593
--- Diff:
mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -369,9 +369,11 @@ trait MesosSchedulerUtils
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 gatorsmile commented on the issue:
https://github.com/apache/spark/pull/9973
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 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 weiqingy commented on the issue:
https://github.com/apache/spark/pull/15377
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
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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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 SparkQA commented on the issue:
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GitHub user kiszk opened a pull request:
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[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
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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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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 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 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 tejasapatil commented on the issue:
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@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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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 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 wangyum opened a pull request:
https://github.com/apache/spark/pull/15466
[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 tejasapatil commented on the issue:
https://github.com/apache/spark/pull/14702
@rxin : Yes. I think I know why its happening and will get back with a fix
over weekend.
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cc @yhuai @gatorsmile
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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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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
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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 robbinspg commented on the issue:
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This PR contains a change to o.a.s.sql.hive.StatisticsSuite which I
believe should fix that issue (awaiting big-endian build to complete)
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Github user yanboliang commented on the issue:
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cc @jkbradley
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/15445
@davies @felixcheung I ran another benchmark as follows:
import time
import random
num_partitions = 2
a = sc.parallelize(map(lambda x:
Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/15464
Did you check hive/StatisticsSuite? There's also a test case for column
stats.
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Github user wzhfy commented on the issue:
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LGTM
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Github user wzhfy commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/StatisticsColumnSuite.scala ---
@@ -150,7 +150,7 @@ class StatisticsColumnSuite extends StatisticsTest
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15421
FWIW, I wrote a bunch of scripts to automatically launch a build via
AppVeyor via @spark-test account with a pretty string such as
> Build started: [CORE]
Github user srowen commented on the issue:
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Jenkins test this please
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Github user srowen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2474,25 +2478,42 @@ private[spark] class CallerContext(
val context = "SPARK_"
Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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--- Diff:
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@@ -150,7 +150,7 @@ class StatisticsColumnSuite extends StatisticsTest
GitHub user robbinspg opened a pull request:
https://github.com/apache/spark/pull/15464
[SPARK-17827][SQL]maxColLength type should be Int for String and Binary
## What changes were proposed in this pull request?
correct the expected type from Length function to be Int
Github user manugarri commented on the issue:
https://github.com/apache/spark/pull/12614
Any word on when is this going to be available in PySpark?
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Github user lw-lin commented on the issue:
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Closing for now; will re-open soon.
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Github user lw-lin closed the pull request at:
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Github user lins05 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15377#discussion_r83206341
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2479,20 +2483,35 @@ private[spark] class CallerContext(
*
Github user lins05 commented on the issue:
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> Another thing, do you verify it locally? Since there's no unit test to
cover it.
@jerryshao Yeah, I did test it locally to ensure the error is only logged
once.
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Jenkins, retest this please
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Can one of the admins verify this patch?
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GitHub user erenavsarogullari opened a pull request:
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[SPARK-17894] [CORE] Ensure uniqueness of TaskSetManager name.
## What changes were proposed in this pull request?
`TaskSetManager` should have unique name to avoid adding
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Github user zero323 commented on the issue:
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@davies Jython is relatively mature and it has some applications (think
about Python UDFs with PIg) but it doesn't change the fact that it is years
behind CPython (no released 3.x branch for
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Github user hellertime commented on the issue:
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You saw the error with `./dev/run-tests`? Ok I'll figure this out.
Sent from my iPhone
> On Oct 13, 2016, at 12:24 AM, Timothy Chen
wrote:
>
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15382#discussion_r83183636
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -757,7 +758,10 @@ private[sql] class SQLConf extends Serializable with
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