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[SPARK-10466][SQL] UnsafeRow SerDe exception with data spill
Data Spill with UnsafeRow causes assert failure.
```
java.lang.AssertionError: assertion failed
at
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cc @rxin
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Github user cloud-fan commented on the pull request:
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LGTM
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jenkins, retest this please.
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Github user jerryshao commented on a diff in the pull request:
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--- Diff: docs/monitoring.md ---
@@ -256,6 +255,247 @@ still required, though there is only one application
available. Eg. to see the
running app,
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GitHub user slaven-s opened a pull request:
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Update README.md
Hi,
I added section "Books" and a link to the Spark GraphX in Action written by
Michael S. Malak and Robin East for Manning Publications. We believe this book
is a great
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Github user srowen commented on the pull request:
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I don't think this belongs on the project readme. Maybe the wiki. Do you
mind closing this PR?
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//
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This is too trivial to bother with by itself in a PR. Maybe a more
comprehensive cleanup of one style issue mkaes sense. Do you mind closing this
PR?
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Github user GraceH commented on a diff in the pull request:
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retest this please
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GitHub user vinodkc opened a pull request:
https://github.com/apache/spark/pull/8636
[SPARK-10468][ MLlib ]Verify schema before Dataframe select API call
Loader.checkSchema was called to verify the schema after
dataframe.select(...).
Schema verification should be done before
GitHub user rotationsymmetry opened a pull request:
https://github.com/apache/spark/pull/8631
[SPARK-9642] [ML] [WIP] LinearRegression should supported weighted data
In many modeling application, data points are not necessarily sampled with
equal probabilities. Linear regression
GitHub user jaceklaskowski opened a pull request:
https://github.com/apache/spark/pull/8630
Space out
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Github user wulei-bj-cn commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138171655
@CodingCat It's quite smart to set SPARK_LOCAL_HOSTNAME=`hostname` to save
the efforts and energy I mentioned in earlier comments when it comes to
deployment and
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//
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GitHub user noel-smith opened a pull request:
https://github.com/apache/spark/pull/8633
[SPARK-10273] Add @since annotation to pyspark.mllib.feature
Duplicated the @since decorator from pyspark.sql into pyspark (also tweaked
to handle functions without docstrings).
Added
Github user GraceH commented on the pull request:
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@andrewor14 Thanks for the feedback. I will take a look at your comments,
and to revise the code accordingly. any concern, will let you know.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/8509#discussion_r38832984
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/CatalystReadSupport.scala
---
@@ -160,4 +101,168 @@ private[parquet]
GitHub user holdenk opened a pull request:
https://github.com/apache/spark/pull/8634
[SPARK-10449][SQL][WIP] Don't merge decimal types with incompatable
precision or scales
From JIRA: Schema merging should only handle struct fields. But currently
we also reconcile decimal
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Github user GraceH commented on the pull request:
https://github.com/apache/spark/pull/7888#issuecomment-138161276
@andrewor14 Thanks for the comments.
Regarding #1, very good point. That's why I try to return back false if
force-killing failed. This is the simplest way.
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GitHub user jaceklaskowski opened a pull request:
https://github.com/apache/spark/pull/8629
Docs small fixes
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Github user vinodkc commented on the pull request:
https://github.com/apache/spark/pull/8565#issuecomment-138167561
Closing this PR, as there is already an existing JIRA & PR on same issue
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GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/8620
[SPARK-10249][ML][Doc]Add Python Code Example to StopWordsRemover User Guide
jira: Add Python Code Example to StopWordsRemover User Guide
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Github user holdenk commented on the pull request:
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jenkins, retest this please
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Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/7520#issuecomment-138046382
@liancheng So is there any concern or review for this patch?
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Github user viirya commented on the pull request:
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ping @liancheng
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GitHub user adrian-wang opened a pull request:
https://github.com/apache/spark/pull/8621
[SPARK-10463] [SQL] remove PromotePrecision during optimization
PromotePrecision is not necessary after HiveTypeCoercion done.
Jira:
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138058944
@cmccabe or @kayousterhout or maybe @CodingCat could be a useful reviewer
here.
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8533#discussion_r38819396
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@@ -190,11 +197,15 @@ private[spark] class TaskSetManager(
}
Github user wulei-bj-cn commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138051802
Hi Sean,
As you suggested, I gave up modifying Utils.scala, and tried to resolve
unspecified host names to IP addresses in
GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/8622
[SPARK-10464] [MLlib] Add WeibullGenerator for RandomDataGenerator
Add WeibullGenerator for RandomDataGenerator
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GitHub user noel-smith opened a pull request:
https://github.com/apache/spark/pull/8623
[SPARK-10094] Pyspark ML Feature transformers marked as experimental
Modified class-level docstrings to mark all feature transformers in
pyspark.ml as experimental.
You can merge this pull
Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/8546#issuecomment-138047275
The user doesn't need enlarge the memory to run 1.5 kmeans after apply this
fix. They still can use 1.2 configuration and have stable run experience in the
same time.
Github user CodingCat commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138085697
Funny conversation, `"I'm Sean"`
can we simply add `"SPARK_LOCAL_HOSTNAME = `hostname`"` to the spark-env.sh?
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Github user CodingCat commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138085791
don't know how to type it correctly
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https://github.com/apache/spark/pull/8533#discussion_r38821456
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala ---
@@ -322,7 +333,12 @@ private[spark] class TaskSetManager(
//
Github user Lewuathe commented on a diff in the pull request:
https://github.com/apache/spark/pull/8537#discussion_r38821992
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/source/libsvm/package.scala ---
@@ -0,0 +1,33 @@
+/*
+ * Licensed to the Apache Software
GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/8624
[SPARK-10071][Streaming]Output a warning when writing QueueInputDStream and
throw a better exception when reading QueueInputDStream
Output a warning when serializing QueueInputDStream rather than
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Github user nburoojy commented on the pull request:
https://github.com/apache/spark/pull/8592#issuecomment-138091105
That makes sense. To be clear, the new interface is `AlgebraicAggregate`
or, if a lower-level interface is needed `AggregateFunction2`, right?
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Github user CodingCat commented on the pull request:
https://github.com/apache/spark/pull/8533#issuecomment-138086351
I mean to overcome the `large-scale configuration` problem mentioned by
@wulei-bj-cn
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Github user Lewuathe commented on a diff in the pull request:
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--- Diff:
mllib/src/test/java/org/apache/spark/ml/source/JavaLibSVMRelationSuite.java ---
@@ -0,0 +1,79 @@
+/*
+ * Licensed to the Apache Software
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Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/8587#issuecomment-138091393
@rxin I've updated this patch to use `AlgebraicAggregate` as you suggested.
Please take a look when you are available. Thanks.
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https://github.com/apache/spark/pull/8533#discussion_r38819729
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@@ -190,11 +197,15 @@ private[spark] class TaskSetManager(
}
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8537#issuecomment-138108129
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8620#issuecomment-138108131
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