Github user srowen commented on the pull request:
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This test actually passed, but Jenkins failed to post. LGTM.
data: {body: [Test build #723 has
Github user srowen commented on the pull request:
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LGTM. CC @mateiz for a quick look, as the original author.
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Github user kaka1992 commented on the pull request:
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Can I add InMemoryRelation upon the base logicalPlan? Then I could create
several randomSplit plans with the same data. @rxin I'm not sure if this way
would break
Github user koeninger commented on the pull request:
https://github.com/apache/spark/pull/4537#issuecomment-97085929
@zzcclp the 1.4.0 deadline is Friday, I believe. I fixed the merge
conflicts and resolved the MiMa issue (as far as I know), it still passes local
tests for me.
Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/5432#discussion_r29231506
--- Diff:
core/src/main/scala/org/apache/spark/deploy/history/HistoryPage.scala ---
@@ -125,30 +138,85 @@ private[history] class HistoryPage(parent:
Github user squito commented on a diff in the pull request:
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--- Diff:
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---
@@ -159,52 +167,52 @@ class FsHistoryProviderSuite extends
GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/5744
[SPARK-7133][SQL] Implement struct, array, and map field accessor
It's the first step: generalize UnresolvedGetField to support all map,
struct, and array
TODO: add apply in Scala and
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--- Diff:
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@@ -40,6 +47,30 @@ private[streaming] class
Github user harishreedharan commented on the pull request:
https://github.com/apache/spark/pull/4688#issuecomment-97190904
OK, so I am testing with the t.renew method. It will take an hour or so (I
have the renewal interval set to 10 mins). Once it is done, I will push the
update.
Github user aarondav commented on the pull request:
https://github.com/apache/spark/pull/5743#issuecomment-97192903
This is a reasonable solution, but I think that the actual issue that
TransportRequestHandler has a list of streamIds at all. I think a different
solution would be to
Github user squito commented on the pull request:
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Jenkins, retest this please
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Github user tgravescs commented on the pull request:
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as you say the token has a renew method. It hands you back the expiration
on that renew. you can store that expiration.
Are you changing to renew for 7 days
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5647#discussion_r29283073
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -95,6 +106,13 @@ def predict(self, x):
best_distance = distance
return
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@FlytxtRnD That tiny issue is the only one I see. After that, I think this
PR will be good to go. Thanks!
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I am just doing the renew to get the expiration. That keeps the logic the
same - always login using keytab and get new tokens rather than having
different code
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// Run the
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val DEFAULT_SIZE_IN_BYTES =
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Github user jerryshao commented on the pull request:
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Hi @andrewor14 , thanks a lot for your comments, I will change the code
accordingly.
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--- Diff:
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Github user rxin commented on the pull request:
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We should definitely keep the old function for compatibility.
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Github user mikeringenburg commented on the pull request:
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In response to @sryza's second question, I'm very interested in this PR,
and would be happy to volunteer to help out wherever it's needed, including
maintenance
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Github user jkbradley commented on the pull request:
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@hhbyyh Thanks for the update! It's looking good, but there are some
cleanups to do. There are quite a few more I'd like to do, but since they are
mostly Scala style
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Github user liancheng commented on the pull request:
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ok to test
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Github user jkbradley commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Vectors.scala
---
@@ -116,6 +116,39 @@ sealed trait Vector extends Serializable {
*
Github user hhbyyh commented on the pull request:
https://github.com/apache/spark/pull/4419#issuecomment-97268385
@jkbradley Thanks. I'll start to work based on current comments.
Meanwhile, it's most welcome if you can send the PR. (I'm not sure how
should I operate, can I just
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5725#discussion_r29301548
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -207,7 +210,23 @@ private[spark] class Executor(
// Run the
Github user brkyvz commented on a diff in the pull request:
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--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/basicOperators.scala ---
@@ -245,6 +245,19 @@ case class Distinct(partial: Boolean, child:
Github user jkbradley commented on the pull request:
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LGTM I'll merge this into master
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Github user zhzhan commented on the pull request:
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Jenkins, retest this please.
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--- Diff:
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@@ -265,7 +283,49 @@ case class GeneratedAggregate(
Github user liyezhang556520 commented on the pull request:
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Thanks to @andrewor14 and @vanzin's comments
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Github user liyezhang556520 commented on the pull request:
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Hi @vanzin , the way you suggested may not able to get exception threw from
`try` block, so that some sibling exceptions may not able to be suppressed.
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Github user squito commented on the pull request:
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Lemme summarize what I've addressed:
* I changed the way jersey uses jackson to clean up the dependencies. It
leads to a setup that doesn't fit the standard
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4419#issuecomment-97253799
Also, there are a few to-do items:
* unit tests
* This is the big item. Do you have an idea of how you plan to test
this? Some things, such as getters and
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LGTM other than those small comments, and the MIMA issues
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/5756#issuecomment-97273533
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/5430#issuecomment-97273537
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/4419#discussion_r29303059
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -208,3 +225,224 @@ class EMLDAOptimizer extends LDAOptimizer{
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