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retest this please
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retest this please
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Github user seyfe commented on the issue:
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Hi @zsxwing ,
The test failed with below error. I don't think that it's related with my
change. Should we just re-run the test or do you have any suggestion?
```
GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/15396
[SPARK-14804][Spark][Graphx] Fix checkpointing of VertexRDD/EdgeRDD
## What changes were proposed in this pull request?
EdgeRDD/VertexRDD overrides checkpoint() and isCheckpointed() to forward
Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/13036#discussion_r82480308
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -470,7 +470,7 @@ def sampleBy(self, col, fractions, seed=None):
+---+-+
Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/12930
It's still a problem. (I just tried the unit test on master.) Sorry for
the delay @yanboliang !
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Github user felixcheung commented on the issue:
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it looks like the "after" image still has a \n in socket text stream?
https://cloud.githubusercontent.com/assets/3925641/19097318/a8edc9de-8a58-11e6-8c37-30271b761284.png
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Github user felixcheung commented on the issue:
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LGTM
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@zsxwing
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/context.R ---
@@ -126,13 +126,13 @@ parallelize <- function(sc, coll, numSlices = 1) {
if (numSlices > length(coll))
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Github user kayousterhout commented on the issue:
https://github.com/apache/spark/pull/15249
@tgravescs @mridulm To avoid being stuck in analysis paralysis for this
feature, I'd propose the following:
(1) We merge this PR. I think we're mostly in agreement that the behavior
Github user koeninger commented on the issue:
https://github.com/apache/spark/pull/15387
I set auto commit to false, and still recreated the test failure.
That makes sense to me, consumer position should still be getting updated
in memory even if it isn't saved to storage
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Github user kayousterhout commented on a diff in the pull request:
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--- Diff: core/src/test/scala/org/apache/spark/DistributedSuite.scala ---
@@ -108,7 +109,9 @@ class DistributedSuite extends SparkFunSuite with
Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/15249#discussion_r82476218
--- Diff: docs/configuration.md ---
@@ -1246,6 +1246,57 @@ Apart from these, the following properties are also
available, and may be useful
Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/15249#discussion_r82475487
--- Diff:
core/src/test/scala/org/apache/spark/scheduler/SchedulerIntegrationSuite.scala
---
@@ -634,8 +635,14 @@ class
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Jenkins, retest this please
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Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/9#discussion_r82474666
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala ---
@@ -137,18 +143,64 @@ class KMeansSuite extends SparkFunSuite with
Github user sethah commented on a diff in the pull request:
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--- Diff:
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@@ -137,18 +143,64 @@ class KMeansSuite extends SparkFunSuite with
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Github user yinxusen commented on the issue:
https://github.com/apache/spark/pull/13794
Thanks @holdenk Yes, I am still interested in this. @jkbradley Do we still
need the PR to support meta-algorithms in PySpark?
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Github user ajbozarth commented on the issue:
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It's failed twice now on the same issue but it's completely unrelated to my
change. Trying one more time, but is this failure a known issue?
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Jenkin, retest this please
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Github user NarineK commented on the issue:
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I'd be happy to update to the latest master if we want to review this now.
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Github user holdenk commented on a diff in the pull request:
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--- Diff: python/pyspark/mllib/linalg/distributed.py ---
@@ -303,6 +303,121 @@ def tallSkinnyQR(self, computeQ=False):
R = decomp.call("R")
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r82471915
--- Diff: docs/mllib-dimensionality-reduction.md ---
@@ -84,6 +84,25 @@ quick-start guide. Be sure to also include *spark-mllib*
to your build file as
a
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r82472791
--- Diff: python/pyspark/mllib/linalg/distributed.py ---
@@ -303,6 +303,121 @@ def tallSkinnyQR(self, computeQ=False):
R = decomp.call("R")
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r82472614
--- Diff: python/pyspark/mllib/linalg/distributed.py ---
@@ -303,6 +303,121 @@ def tallSkinnyQR(self, computeQ=False):
R = decomp.call("R")
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r82471959
--- Diff: docs/mllib-dimensionality-reduction.md ---
@@ -125,6 +144,29 @@ Refer to the [`RowMatrix` Java
docs](api/java/org/apache/spark/mllib/linalg/dist
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/7963#discussion_r82472498
--- Diff: python/pyspark/mllib/linalg/distributed.py ---
@@ -303,6 +303,121 @@ def tallSkinnyQR(self, computeQ=False):
R = decomp.call("R")
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/15387
> but polling ordinarily consumes messages and adjusts position.
Even if `enable.auto.commit` is `false`? In the doc, it says `automatically
set as the last committed offset`, so I guess
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jenkins retest this please
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/12888
So to trigger the test we will need one of the committers - e.g. @davies is
one of the more active Python committers (although he has been busy lately) so
we can also check with @MLnick . It would
Github user seyfe commented on a diff in the pull request:
https://github.com/apache/spark/pull/15371#discussion_r82470766
--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -344,15 +338,20 @@ private[spark] class BlockStatusesAccumulator
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/12337
So I'm curious what is the intention of this versus the existing isnull
function? It seems like this might not be needed in which case we should
consider closing the PR & JR (of course if there is
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Github user asfgit closed the pull request at:
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/15395
[SPARK-17738] [TEST] Fix flaky test in ColumnTypeSuite
## What changes were proposed in this pull request?
The default buffer size is not big enough for randomly generated MapType.
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/10162
Just pinging @davies or @marmbrus to see if this is something you might
have bandwith to review (in which case we can ask the author if they have the
time to update to the latest master).
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/7963
Now that its past the 2.0 release should we maybe take another look @MLNick
/ @davies?
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Github user hvanhovell commented on the issue:
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Merging to master. Thanks for commenting.
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/8384
I think its safe to say that this isn't something that there is committer
interest on bringing into Spark. Especially now that we can use DataFrames to
write out to other formats from Python its
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Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12675#discussion_r82468682
--- Diff: python/pyspark/ml/clustering.py ---
@@ -56,8 +56,83 @@ def gaussiansDF(self):
"""
return self._call_java("gaussiansDF")
Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82468575
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3,
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--- Diff: python/pyspark/ml/tests.py ---
@@ -1070,6 +1070,21 @@ def test_logistic_regression_summary(self):
sameSummary = model.evaluate(df)
Github user dusenberrymw commented on a diff in the pull request:
https://github.com/apache/spark/pull/15389#discussion_r82468103
--- Diff: python/pyspark/rdd.py ---
@@ -2029,7 +2030,11 @@ def coalesce(self, numPartitions, shuffle=False):
>>> sc.parallelize([1, 2, 3,
Github user seyfe commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -344,15 +338,20 @@ private[spark] class BlockStatusesAccumulator
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test this please
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Can one of the admins verify this patch?
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15393
Merged build finished. Test FAILed.
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/12968
@burakkose is this something you are still working on? If so can you update
it to master and look at @mengxr's comments - if not interested in working on
it anymore no worries.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15393
**[Test build #66530 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66530/consoleFull)**
for PR 15393 at commit
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/15393
retest this please
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