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https://github.com/apache/spark/pull/5165
[SPARK-6469] The YARN driver in yarn-client mode will not use the local
directories configured for YARN
Clarify the local directories usage in YARN
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https://github.com/apache/spark/pull/5165#discussion_r27016084
--- Diff: docs/running-on-yarn.md ---
@@ -274,6 +274,6 @@ If you need a reference to the proper location to put
log files in the YARN so t
# Important
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GitHub user DoingDone9 opened a pull request:
https://github.com/apache/spark/pull/5166
[SPARK-6493][SQL]Support numeric(a,b) in the sqlContext
support sql like that :
select cast(20.12 as numeric(4,2)) from src limit 1;
You can merge this pull request into a Git repository by
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -792,6 +793,11 @@ private[spark] object Utils extends Logging {
lazy val
Github user tgravescs commented on the pull request:
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@andrewor14 for python application, if SPARK_HOME of submission node is
different from the nodeManager, so it can not work in my test.
example:submission node's
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Github user asfgit closed the pull request at:
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so it appears setting SPARK_HOME to anything on AM and executors works
around this error:
spark.yarn.appMasterEnv.SPARK_HOME /bogus
spark.executorEnv.SPARK_HOME
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Github user srowen commented on the pull request:
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OK I merged this with a couple fixes to the text (e.g. spark - Spark)
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Github user MechCoder commented on the pull request:
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@mengxr Sorry, I misunderstood your comment before. Should look good now.
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--- Diff: pom.xml ---
@@ -1472,6 +1473,45 @@
groupIdorg.scalatest/groupId
artifactIdscalatest-maven-plugin/artifactId
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--- Diff: pom.xml ---
@@ -1472,6 +1473,45 @@
groupIdorg.scalatest/groupId
artifactIdscalatest-maven-plugin/artifactId
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Github user jongyoul commented on the pull request:
https://github.com/apache/spark/pull/5063#issuecomment-85500449
@elyast @tnachen Do you think `CPUS_PER_TASK` also support fractional
value? If it's not, I may be support executorCores as fractional value without
huge changes.
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/5095#issuecomment-85508290
In our local network, the yarn-node do not know the hostname of the
client. So I have to set spark.driver.host to the client's ip address, so the
driver will use it's
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -111,9 +111,11 @@ private[python] class PythonMLLibAPI
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Github user SaintBacchus commented on the pull request:
https://github.com/apache/spark/pull/5152#issuecomment-85492976
@srowen Ok, I will take this `RDD` into the transformation of `coalesce`
later.
And about the performance, in our scenario we reused the cached RDD tens of
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Github user tgravescs commented on the pull request:
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Thanks for providing the pull request. The text here looks good. I'm +1.
I'll let @srowen finish his review.
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Github user hhbyyh commented on the pull request:
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Updated, let me know if this is closer to what's in your mind. Thanks.
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Github user nchammas commented on the pull request:
https://github.com/apache/spark/pull/5109#issuecomment-85521950
OK sounds good. FWIW, I think it's fine if we won't support the
master-spot/slaves-non-spot combo as long as we error out early and cleanly.
But if you want to make
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Github user redbaron commented on the pull request:
https://github.com/apache/spark/pull/5096#issuecomment-85445464
I wonder how does it deal with vcores management. One executor with 1
allocated core can execute one task, if this task is sparkR then even if it
allocates 1 vcore, R
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5156#discussion_r27016697
--- Diff: bin/compute-classpath.sh ---
@@ -25,17 +25,19 @@ FWDIR=$(cd `dirname $0`/..; pwd)
. $FWDIR/bin/load-spark-env.sh
-if [ -n
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LogisticRegressionWithLBFGS.run(input, initialWeights) should initialize
numFeatures
LogisticRegressionWithLBFGS.run(input, initialWeights) should initialize
numFeatures
You can merge this
Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala
---
@@ -211,6 +211,10 @@ abstract class
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Most of this pull request is wrong, including introducing a logic error.
The bits that might be of marginal value are probably too trivial to bother
with, like using
Github user zsxwing commented on a diff in the pull request:
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Github user preaudc commented on the pull request:
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I don't know if this is normal that all commits show up in the PR, I'm not
yet familiar with this tool... Anyway, only the last one is relevant for this
PR, and that's
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Can one of the admins verify this patch?
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Jenkins, retest 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/rdd/HadoopRDD.scala ---
@@ -17,36 +17,28 @@
package org.apache.spark.rdd
+import
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--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -99,27 +93,27 @@ private[spark] class HadoopPartition(rddId: Int, idx:
Int,
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Github user nyaapa commented on a diff in the pull request:
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--- Diff:
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@@ -53,7 +53,7 @@ class LocalSparkCluster(
/* Start the Master */
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ok to test
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Github user srowen commented on the pull request:
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(Add `[SQL]` to the title please to sort it properly. It's borderline
whether this should have a JIRA, but it's pretty much the same to describe as
to fix.)
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Github user zhpengg commented on the pull request:
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OK, I'll close this PR.
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GitHub user lianhuiwang opened a pull request:
https://github.com/apache/spark/pull/5168
[SPARK-5763][Core]add Sort-Merge Join to resolve skewed data
add sort-merge join to resolve skewed data.
i provide three interface to achieve join operator using SortMergeJoinRDD,
there
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--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -231,11 +231,11 @@ class HadoopRDD[K, V](
var reader: RecordReader[K, V] =
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--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -185,8 +181,10 @@ class HadoopRDD[K, V](
// done in each local process.
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--- Diff:
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@@ -60,7 +60,7 @@ private[spark] abstract class ZippedPartitionsBaseRDD[V:
Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/5119#issuecomment-85448943
-Updated patch with the indentation corrected; plugin version entrusted to
the apache parent template
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Github user srowen commented on the pull request:
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This seems like a lot of extra code to add; can we quantify the performance
difference at all? I agree with @sryza that it sounds like one of those things
worth doing
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/5162#issuecomment-85711127
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5173#discussion_r27079067
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -168,8 +168,8 @@ def predictSoft(self, x):
if isinstance(x, RDD):
means,
Github user SparkQA commented on the pull request:
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