Github user JoshRosen commented on the pull request:
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I think that the test failures in `BlockManagerSuite` are related to the
semantics of `maxNumBytesToFree` in `StaticMemoryManager.acquireUnrollMemory`.
[Prev
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GitHub user zjffdu opened a pull request:
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[SPARK-12166][TEST] Unset hadoop related environment in testing
You can merge this pull request into a Git repository by running:
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Github user taishi-oss commented on the pull request:
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I modified the code that was pointed out.
@sarutak @yu-iskw Thank you for reviewing!
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--- Diff: R/pkg/R/window.R ---
@@ -0,0 +1,88 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license ag
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Github user jerryshao commented on the pull request:
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LGTM.
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--- Diff: R/pkg/R/window.R ---
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Github user jerryshao commented on the pull request:
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Hi @vanzin , from my test and understanding so far, I think calling
`reset()` on the first registration should be OK. But here I still don't change
to that way, for me
Github user sun-rui commented on the pull request:
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@shivaram, rebased again. I can successfully rebase it to master on my dev
machine, don't know any other merge conflicts. Could you merge it before
merging any other PR
Github user watermen commented on the pull request:
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@dilipbiswal Yes, SPARK-11246 has already fixed it, Thanks and I'll close
this PR.
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LGTM
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@shivaram @felixcheung @sun-rui Thank you everyone! Hopefully, my code
changes resolve all your concerns. I learned a lot from you! : )
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -692,8 +696,8 @@ setMethod("sample",
setMethod("sample_frac",
signature(x = "DataFrame", withRepla
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -692,8 +696,8 @@ setMethod("sample",
setMethod("sample_frac",
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Github user guoxu1231 commented on the pull request:
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BTW, There is a JIRA to suggest user to prefer using c['column'] instead of
c.column.
@davies, we encountered similar issue, could you paste the JIRA number fo
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--- Diff:
yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnSchedulerBackend.scala
---
@@ -51,6 +51,9 @@ private[spark] abstract class YarnSchedul
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Github user zsxwing commented on the pull request:
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LGTM except a nit
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: ) @sun-rui Done. Thank you!
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -677,13 +677,15 @@ setMethod("unique",
#' collect(sample(df, TRUE, 0.5))
#'}
setMethod("sample",
-
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -677,13 +677,15 @@ setMethod("unique",
#' collect(sample(df, TRUE, 0.5))
#'}
setMethod("sample",
-
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--- Diff:
core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala ---
@@ -177,7 +177,7 @@ private[deploy] class SparkSubmitArguments(args:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -692,8 +694,12 @@ setMethod("sample",
setMethod("sample_frac",
signature(x = "DataFrame", withReplace
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Github user shivaram commented on the pull request:
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LGTM. I'll wait for @felixcheung and Jenkins before merging
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Github user jerryshao commented on the pull request:
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Looks like this is a hidden environment, do we need to support it
explicitly?
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Github user gatorsmile commented on the pull request:
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@felixcheung @shivaram Sure, just added that test case. Please review it.
Thank you! : )
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Github user zsxwing commented on a diff in the pull request:
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--- Diff: streaming/src/test/resources/log4j.properties ---
@@ -25,4 +25,5 @@ log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd
HH:mm:ss.SSS} %t %p %c{
Github user zsxwing commented on the pull request:
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LGTM for the patch.
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/util/BatchedWriteAheadLog.scala
---
@@ -165,10 +165,12 @@ private[util] class BatchedWriteAhea
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Github user shivaram commented on the pull request:
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Yeah thats a good idea @felixcheung
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/10171
[SPARK-12168][SPARKR] Add automated tests for conflicted function in R
Currently this is reported when loading the SparkR package in R (probably
would add is.nan)
```
Loading required p
Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/10160#issuecomment-162412228
@gatorsmile Sure - I guess the main thing is to ensure the seed is getting
set. How about:
```
count1 <- count(sample(df, FALSE, 0.1, 0))
count2 <- cou
Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/10169#issuecomment-162407562
@watermen I believe SPARK-11246 was a very similar defect and was fixed in
1.5. Is this a different scenario that what was addressed in that defect ?
@yhuai had
Github user zjffdu commented on the pull request:
https://github.com/apache/spark/pull/9490#issuecomment-162406408
@yhuai Sure, np
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GitHub user JoshRosen opened a pull request:
https://github.com/apache/spark/pull/10170
[SPARK-12165] Fix bug in eviction of storage memory by execution
This patch fixes a bug in the eviction of storage memory by execution.
## The bug:
In general, execution should b
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GitHub user watermen opened a pull request:
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[SPARK-12167][SQL] Invoke the right sameResult function when plan is
warpped with SubQueries
### Bug
I find this bug when I use cache table,
```
spark-sql> create table src_p(key int,
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/9565#discussion_r46785072
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
---
@@ -66,980 +85,305 @@ case class ScalaUDF(
*/
Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9490#issuecomment-162402641
@zjffdu How about we revisit it after we release 1.6?
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@yhuai @liancheng any more comments ?
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Github user microwishing closed the pull request at:
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GitHub user microwishing opened a pull request:
https://github.com/apache/spark/pull/10168
Fix kstreaming war
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/microwishing/spark FIX_KSTREAMING_WAR
Alternatively you can review and
Github user microwishing commented on the pull request:
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wrong PR. sorry
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala
---
@@ -66,980 +85,305 @@ case class ScalaUDF(
*/
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10165#issuecomment-162400140
I have the exact same question when calling the show function. From the
perspectives of users, they might not care the encoded values at all when
calling the functio
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/10163#issuecomment-162397946
This is a great feature! Can we implement it in individual expressions
instead of centralizing them in `LogicalPlan.samResult`? A lof of commutative
operators need it
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Github user cloud-fan commented on the pull request:
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Shoud we print the decoded values(user objects) in `Dataset.show`? cc
@marmbrus @rxin
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GitHub user zsxwing opened a pull request:
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[SPARK-12060][CORE] Avoid memory copy in JavaSerializerInstance.serialize
Merged #10051 again since #10083 is resolved.
This reverts commit 328b757d5d4486ea3c2e246780792d7a57ee85e5.
You ca
Github user lianhuiwang commented on the pull request:
https://github.com/apache/spark/pull/10058#issuecomment-162396051
retest this please
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Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/10141#discussion_r46781460
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/StructType.scala ---
@@ -40,7 +40,8 @@ import org.apache.spark.sql.catalyst.util.DataTypeParser
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/10151
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Github user holdenk commented on the pull request:
https://github.com/apache/spark/pull/10166#issuecomment-162386176
It might be useful to also document the different ways "missing" labels can
be handled - what are your thoughts?
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/10151#issuecomment-162386145
We can handle retention of the output in a followup, since it'd probably be
best to also do it for Java, Python, and R style checks. Therefore, I'm going
to merge thi
Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/10037#issuecomment-162385822
Thanks for your help @sun-rui @felixcheung @shivaram .
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Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/10154#discussion_r46776484
--- Diff:
core/src/test/resources/HistoryServerExpectations/executor_list_json_expectation.json
---
@@ -4,11 +4,13 @@
"rddBlocks" : 8,
"memory
Github user dilipbiswal commented on the pull request:
https://github.com/apache/spark/pull/10156#issuecomment-162349876
@yhuai Hi Yin, Thanks for your comments. In this fix, we are only changing
the nullability of the value for comparision purpose to see if the left and
right types a
Github user karlhigley closed the pull request at:
https://github.com/apache/spark/pull/9843
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10161#issuecomment-162344223
Test PASSed.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10165#issuecomment-162344227
Test PASSed.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/10165#issuecomment-162344226
Merged build finished. Test PASSed.
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