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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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trainImplicit(ratings, rank,
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@tmyklebu Let us think about re-using `makeInLinkBlocks` and
`makeOutLinkBlocks` for cost estimation. Otherwise, if we make changes to those
methods, it is hard to make
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Github user sryza commented on the pull request:
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Uploaded a patch that follows your comments. I tested it against YARN and
verified that the opts and environment variables both show up.
Right now when I try
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@tmyklebu Could you try to merge the latest master?
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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Cool!
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Jenkins, test this please.
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Github user schmit closed the pull request at:
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@sryza so are you suggesting that `spark-class` previously didn't work if
SPARK_JAVA_OPTS had a quoted option? Are you just testing against master or
against before we
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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@@ -263,6 +263,26 @@ trait JavaRDDLike[T, This : JavaRDDLike[T, This]]
extends
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@baishuo This is no longer mergeable. Could you try to merge the latest
master?
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@@ -708,6 +709,123 @@ object ALS {
trainImplicit(ratings, rank,
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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--- Diff: core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
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@@ -263,6 +263,26 @@ trait JavaRDDLike[T, This : JavaRDDLike[T, This]]
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Github user pwendell commented on the pull request:
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Thanks, merged.
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LGTM if Jenkins is happy.
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Thanks. Merged!
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Jenkins, test this please.
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Github user sryza commented on the pull request:
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This is indeed what I am suggesting.
I had been testing against master, but just tried against 0.9.0 and hit the
same error.
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@manishamde Could you try to merge the latest master?
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Github user ScrapCodes commented on a diff in the pull request:
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--- Diff:
examples/src/main/scala/org/apache/spark/examples/bagel/WikipediaPageRankStandalone.scala
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@@ -30,22 +30,15 @@ import
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GitHub user CrazyJvm opened a pull request:
https://github.com/apache/spark/pull/587
Args for worker rather than master
Args for worker rather than master
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Github user baishuo commented on the pull request:
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no problem @mengxr
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Github user ScrapCodes commented on the pull request:
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Do you want this change to go for streaming as well !, because for some
things it may not make sense.
And then how do people stop it ?
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/588#issuecomment-41685020
IMHO this will not compile if used like this `1 +: features`, Integers with
DenseVector[Double]. Are you sure we want this change ?
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Github user asfgit closed the pull request at:
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/586#issuecomment-41693222
The fix here works for me with the exception of the spark.authenticate
config option which we are going to have to handle differently since it needs
to be set properly
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/586#issuecomment-41693617
@pwendell There isn't any config that was added to replace
SPARK_YARN_USER_ENV was there? I didn't see one but wanted to make sure I
didn't miss it. We should file a
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/539#issuecomment-41698198
I just tried setting SPARK_YARN_APP_NAME and its working fine for me
without this patch with the yarn-client mode. I was just running the
examples. Note that the
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/588#issuecomment-41698810
Should use `Vectors.dense(1.0 +: features)`, which may be faster than
`Vectors.dense(1.0, features: _*)`, depending on how scala compiles the code.
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/539#issuecomment-41698742
Hi Tom.
SPARK_YARN_APP_NAME works fine. What doesn't work is when you do not set
that env variable; in that case, the app name in the RM will always be Spark,
Github user techaddict commented on a diff in the pull request:
https://github.com/apache/spark/pull/588#discussion_r12102671
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
---
@@ -81,11 +81,11 @@ class GradientDescentSuite extends
Github user techaddict commented on a diff in the pull request:
https://github.com/apache/spark/pull/588#discussion_r12102704
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
---
@@ -81,11 +81,11 @@ class GradientDescentSuite extends
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/539#issuecomment-41699194
Sorry somehow my browser wasn't showing a jira number and I missed the
explanation there, thanks for adding an explanation here. It makes sense now.
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GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/589
SPARK-1663. Corrections for several compile errors in streaming code
examples, and updates to follow API changes
I gave the Streaming code examples, both Scala and Java, a test run today.
I turned
Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/588#issuecomment-41699346
@mengxr yupp that would be better.
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/586#issuecomment-41699497
@sryza @tgravescs
Tom - if `spark.authenticate` is true, then is it not getting set directly
when the executor is launched:
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/571#issuecomment-41700284
I know this is a little weird, but either `org.apache.examples.spark` or
`org.apache.spark_examples` can help prevent using `private[spark]` classes.
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/571#issuecomment-41701264
@mengxr IMO we should re-implement the necessary private functions in the
examples, they are not too many just 2-3 methods. It will make using/modifying
the examples
Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/539#issuecomment-41703171
This case you describe wasn't originally supported on yarn. Perhaps it
should have been fixed up when sparkConf was added but it looks like it wasn't
so I would
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/539#issuecomment-41703467
I thought I looked at yarn-cluster mode and it was doing the right thing,
but I'll look again.
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/589#issuecomment-41703565
@srowen scala error is related to #550
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/586#issuecomment-41703827
@pwendell perhaps I'm missing something, the line you point to is for java
options not for spark configs. SparkConf errors out if you try to put a
-Dspark.authenticate
Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/589#issuecomment-41704140
While using these methods we have to specify the parameter type for the
reduceFunc.
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