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Github user sameeragarwal commented on the issue:
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test this please
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Github user BryanCutler commented on the issue:
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Hi @shaneknapp, I should have probably asked what version of Pandas is
currently installed and if you will be upgrading that also with numpy? Thanks!
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Github user gatorsmile commented on the issue:
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```SQL
select udf(arg1 alias1, arg2 alias2) from t1;
```
I do not know any database support alias on function arguments.
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Github user ajbozarth commented on a diff in the pull request:
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Github user zsxwing commented on the issue:
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I don't get it. Could you point out which place serializes MapStatus using
Kyro?
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* // max 92.0 19
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Retest this please.
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Can one of the admins verify this patch?
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GitHub user janewangfb opened a pull request:
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[SPARK-19326] Speculated task attempts do not get launched in few scenarios
## What changes were proposed in this pull request?
Add a new listener event when a speculative task is create
Github user NarineK commented on the issue:
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Thank you, @gatorsmile! I'll give a try.
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Jenkins test this please
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Github user NarineK commented on the issue:
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@falaki, I'd be fine with a separate `gapplyWithKeys()` method too.
@shivaram, @felixcheung what do you think ? Should we add a new
`gapplyWithKeys()` method ?
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Generally, it looks good to me. Thank you!
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -198,4 +198,49 @@ class OracleI
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Github user gatorsmile commented on the issue:
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Maybe you can close this PR now?
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Github user gatorsmile commented on the issue:
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ok to test
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Github user gatorsmile commented on the issue:
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LGTM pending Jenkins
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Github user gatorsmile commented on the issue:
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Above is two comments I have
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--- Diff:
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@@ -61,7 +61,7 @@ object JDBCRDD extends Logging {
Github user gatorsmile commented on the issue:
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Could you update the PR title and description?
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Github user yanboliang commented on the issue:
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#18489 fixed the build failure. Thanks.
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Github user lklong commented on the issue:
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@witgo hi ,i want to know this patch can be used in preduct env?
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Can one of the admins verify this patch?
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Github user srowen commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -292,15 +292,16 @@ class KMeans private (
}.reduceByKey { cas
Github user lklong commented on the issue:
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hi@witgo ,i am glad to see this patch ,but i do not know how should i check
this patch,i need this very much, thank you for give me this patch url.please
and thanks!
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GitHub user dardelet opened a pull request:
https://github.com/apache/spark/pull/18491
[SPARK-21268][MLLIB] Move center calculations to a distributed map in KMeans
## What changes were proposed in this pull request?
The scal() and creation of newCenter vector is done in the
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Github user holdenk commented on the issue:
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I'd be happy to. It's Canada day tomorrow, so I'll try and squeeze in some
review today :)
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Github user jinxing64 commented on a diff in the pull request:
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--- Diff:
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---
@@ -257,4 +257,31 @@ public Properties cryptoConf() {
Github user viirya commented on the issue:
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My understanding is, even a key doesn't have collision when inserting, it
still possible needs multiple probes to find empty slot. Personally I think
number of collision doesn't tell too much informa
Github user asfgit closed the pull request at:
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Merged into master to fix scala-2.10 build failure.
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Github user mike0sv commented on the issue:
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@kiszk check it out
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Github user keypointt commented on the issue:
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@holdenk do you mind have a look? I have some free time weekend and can
work on it ð
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Github user kiszk commented on the issue:
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This fix looks good. Would it be possible to put details on why this
problem happens and how it is fixed in the description of this PR, as written
in JIRA entry?
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Github user dongjoon-hyun commented on the issue:
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Thank you, @wangyum . I'll try.
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Github user mike0sv commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/EnumEncoderSuite.java
---
@@ -0,0 +1,32 @@
+package org.apache.spark.sql.catalyst;
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Github user wangyum commented on the issue:
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@dongjoon-hyun Try the following to reproduce, I missed
`spark.serializer=org.apache.spark.serializer.KryoSerializer`, this is my
default config:
```
spark-shell --conf spark.reducer.maxReqS
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Github user aray commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,37 +2205,170 @@ class Dataset[T] private[sql](
* // max 92.0 19
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Github user jinxing64 commented on the issue:
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cc @zsxwing @cloud-fan @jiangxb1987
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GitHub user wangyum opened a pull request:
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[SPARK-21269][Core][WIP] Fix FetchFailedException when enable
maxReqSizeShuffleToMem and KryoSerializer
## What changes were proposed in this pull request?
Spark **cluster** can reproduce
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Github user SparkQA commented on the issue:
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GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/18489
[ML] Fix scala-2.10 build failure of GeneralizedLinearRegressionSuite.
## What changes were proposed in this pull request?
Fix scala-2.10 build failure of ```GeneralizedLinearRegressionSuite`
Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/16699
@hvanhovell I will send a quick fix soon, thanks for your kindly remind.
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Github user SparkQA commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/18488#discussion_r125043648
--- Diff:
sql/catalyst/src/test/java/org/apache/spark/sql/catalyst/EnumEncoderSuite.java
---
@@ -0,0 +1,32 @@
+package org.apache.spark.sql.catalyst;
GitHub user mike0sv opened a pull request:
https://github.com/apache/spark/pull/18488
Enum support
## What changes were proposed in this pull request?
Fixed NPE when creating encoder for enum.
## How was this patch tested?
Unit test in EnumEncoderSuite which cre
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/18476#discussion_r125038588
--- Diff: docs/configuration.md ---
@@ -1398,6 +1398,15 @@ Apart from these, the following properties are also
available, and may be useful
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18487
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