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Github user hvanhovell commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -1021,6 +1021,19 @@ class Analyzer(
case
Github user sameeragarwal commented on a diff in the pull request:
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--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/AggregateHashMapSuite.scala ---
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software
Github user sameeragarwal commented on a diff in the pull request:
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--- Diff:
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@@ -499,14 +499,16 @@ object SQLConf {
.intConf
Github user Devian-ua commented on the issue:
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@srowen Can you verify the patch?
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Jenkins test this please
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Merged to master
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Github user vanzin commented on the issue:
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@jerryshao do you plan to address the remaining feedback?
(https://github.com/apache/spark/pull/14065#discussion_r73423485)
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Github user kiszk commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
---
@@ -25,30 +25,36 @@
import org.apache.spark.sql.t
GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/14508
[SPARK-16586][core] Handle JVM errors printed to stdout.
Some very rare JVM errors are printed to stdout, and that confuses
the code in spark-class. So add a check so that those cases are
det
Github user shubhamchopra commented on a diff in the pull request:
https://github.com/apache/spark/pull/13152#discussion_r73751665
--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
---
@@ -1088,109 +1108,88 @@ private[spark] class BlockManager(
}
Github user vanzin commented on the issue:
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Github user davies commented on a diff in the pull request:
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--- Diff:
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---
@@ -25,30 +25,36 @@
import org.apache.spark.sql.
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/14109
@dbtsai @yanboliang I went ahead and added a couple comments so someone
will not mistakenly change this behavior in the future. Let me know if you see
anything else, thanks!
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Github user sylvinus commented on the issue:
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Thanks a lot!
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Github user srowen commented on the issue:
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Let's close this in favor of https://github.com/apache/spark/pull/14508
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--- Diff:
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@@ -199,6 +209,19 @@ private[sql] case class FileSourceScanExec
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--- Diff: core/pom.xml ---
@@ -127,6 +127,16 @@
org.eclipse.jetty
+ jetty-proxy
--- End diff --
These new
Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
---
@@ -753,6 +757,7 @@ private[deploy] class Master(
workers += worker
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
Github user vanzin commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
GitHub user xwu0226 opened a pull request:
https://github.com/apache/spark/pull/14509
[SPARK-16924][SQL] - Support option("inferSchema", true) option for
DataStreamReadder
## What changes were proposed in this pull request?
The issue is that `DataSource.sourceSchema()` has a che
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13950#discussion_r73758964
--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,67 @@ private[spark] object JettyUtils extends Logging {
context
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--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -186,6 +188,66 @@ private[spark] object JettyUtils extends Logging {
context
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Merged to master/2.0 also
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One idea is that if you use `spark.ui.proxyBase`, as YARN does, you don't
need the proxy servlet to modify the HTML returned to the clients. But then
you'd need something like Hadoop's `AmIpFilter` i
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@baifanwudi please close this pr.
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Done.
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[SPARK-16925] Master should call schedule() after all executor exits, not
only failures
## What changes were proposed in this pull request?
This patch fixes a bug in Spark's standalone M
Github user hvanhovell commented on the issue:
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LGTM - pending Jenkins.
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--- Diff:
core/src/main/scala/org/apache/spark/deploy/FaultToleranceTest.scala ---
@@ -113,7 +112,7 @@ private object FaultToleranceTest extends App with
Log
Github user lovexi closed the pull request at:
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--- Diff:
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@@ -113,7 +112,7 @@ private object FaultToleranceTest extends App with
Lo
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Log
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Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/12753
Also the PR title is misleading, since this change is adding a single
"wildcard" to a single configuration. The title makes it sound like it's way
more generic than it is.
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@@ -113,7 +112,7 @@ private object FaultToleranceTest extends App with
Lo
Github user BryanCutler commented on the issue:
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Thanks @srowen!
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GitHub user mgummelt opened a pull request:
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[SPARK-16927] [SPARK-16923] Override task properties at dispatcher.
## What changes were proposed in this pull request?
- enable setting default properties for all jobs submitted through t
Github user mgummelt commented on a diff in the pull request:
https://github.com/apache/spark/pull/14511#discussion_r73764731
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala
---
@@ -358,14 +358,12 @@ private[spark] class MesosClus
Github user mgummelt commented on the issue:
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@skonto Can you take a look at this?
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--- Diff:
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---
@@ -278,14 +278,15 @@ private[state]
Github user sethah commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -996,19 +1013,24 @@ private class LeastSquaresCostFun(
fe
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--- Diff:
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@@ -443,6 +445,9 @@ private[state] cl
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--- Diff:
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@@ -231,13 +232,17 @@ private[streaming] class FileBasedW
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Looks pretty good, can you remove the wip from the pr title?
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Github user zsxwing commented on the issue:
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LGTM
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[WIP] Add SSL support to dispatcher and spark-submit
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch t
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14118
You can specify "com.databricks.spark.csv" as the source.
On Fri, Aug 5, 2016 at 11:58 PM, djk121 wrote:
> Is there a way to fall back to the old databricks csv library in spark 2
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14508
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Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/12694
Update: I thought about using argument files, but they're only supported by
javac (`javac @argfile`) and not by java. So if fixing anything, I'm in favor
of:
- removing the use of "driverJav
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14508
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Github user petermaxlee commented on the issue:
https://github.com/apache/spark/pull/14389
Which part do you want me to update? I thought you've already committed the
changes needed. Let me know and I will update this.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14508
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Github user ooq commented on the issue:
https://github.com/apache/spark/pull/14513
cc @davies
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GitHub user ooq opened a pull request:
https://github.com/apache/spark/pull/14513
[SPARK-16928][SQL] Recursive call of ColumnVector::getInt() breaks JIT
inlining
## What changes were proposed in this pull request?
In both `OnHeapColumnVector` and `OffHeapColumnVector`, we i
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14513
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Github user davies commented on the issue:
https://github.com/apache/spark/pull/14176
Let's hold on this, if we are going to have single implementation for fast
hash map (based on the benchmark result in another PR), do need to merge this
fancy implementation choosing. cc @rxin
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Github user davies commented on the issue:
https://github.com/apache/spark/pull/14513
We should also update VectorizedColumnReader.decodeDictionaryIds() to use
the new method.
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