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Github user vectorijk commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/regression.py ---
@@ -609,6 +611,147 @@ class GBTRegressionModel(TreeEnsembleModels):
"""
+@inherit_doc
Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/8920#issuecomment-144632133
And we did support that sort function for dataframe because we couldn't
have it for columns. I cannot add it to SparkR columns either ...
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Github user NarineK commented on the pull request:
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okay, our customers had that sort for dataframes too but it seems that R
doesn't have it for dataframe.
Now let's decide what do we want to do.
we can have t
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GitHub user brkyvz opened a pull request:
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[SPARK-10891][STREAMING][KINESIS] Add MessageHandler to
KinesisUtils.createStream similar to Direct Kafka
This PR allows users to map a Kinesis `Record` to a generic `T` when
creating a Kinesis stre
Github user NarineK commented on the pull request:
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I cannot understand one thing why are we supporting string column types
here:
setMethod("arrange",
signature(x = "DataFrame", col = "characterOrColumn")
Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/8920#issuecomment-144627088
order is for vectors:
http://www.inside-r.org/r-doc/base/order
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Github user felixcheung commented on the pull request:
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I think `arrange` does work with both column name strings or Column:
```
setMethod("arrange",
signature(x = "DataFrame", col = "characterOrColumn
Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8926#discussion_r40880325
--- Diff: python/pyspark/ml/regression.py ---
@@ -609,6 +611,147 @@ class GBTRegressionModel(TreeEnsembleModels):
"""
+@inherit_doc
Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/8920#issuecomment-144623226
okay, I see. For columns we probably cannot add sort right now because the
dataframe api doesn't have it.
For my understanding arrange isn't doing sorting for string
Github user felixcheung commented on the pull request:
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I think @sun-rui does have a point here. Generally in R, `sort` is for list
& vector
https://stat.ethz.ch/R-manual/R-devel/library/base/html/sort.html
Bu
Github user NarineK commented on the pull request:
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Hi sun-rui,
I'll do the correction with param. I'm not sure what do you mean with
coding style issues for dontrun {}.
I did it exactly as arrange and added exampl
Github user sun-rui commented on the pull request:
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My concern is still the name. Maybe we can make it combine with arrange().
@NarineK, could you update the function description more accurate (param),
also coding
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala
---
@@ -60,20 +60,36 @@ private[hive] class HiveFunctionRegistry(underlying:
analysi
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--- Diff:
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---
@@ -299,6 +300,42 @@ class HiveUDFSuite extends QueryTest with
Te
Github user rekhajoshm commented on the pull request:
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Thanks for your comments @vanzin !
However that does not seem an accurate assessment.Before this patch, the
script accepted only first parameter and set it to logD
Github user JasmineGeorge commented on the pull request:
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Thanks a lot @selvinsource.
@mengxr is there anything we should be adding/changing ? Please let me know.
Once these changes are merged I will start with the
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Could you please add test for this?
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -149,6 +149,26 @@ createDataFrame <- function(sqlContext, data, schema =
NULL, samplingRatio = 1.0
dataFrame(
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retest this please
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@NarineK Could you also add a unit test for this ?
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Jenkins, add to whitelist
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Jenkins, ok to test
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Github user jerryshao commented on the pull request:
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Agreed with undocumented configuration.
BTW, my question is that do we need to take care of priority in
`ContainerRequest`? Now it is setting by `RM_REQUEST_PR
Github user JoshRosen commented on the pull request:
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I'd like to help get this patch merged so that we can re-run these tests,
but before we put a lot more work into polishing it I would like to figure out
whether our re
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Are there plans to revive this PR and attempt another merge?
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[SPARK-10887] [sql] Build HashedRelation outside of HashJoinNode.
This PR refactors `HashJoinNode` to take a existing `HashedRelation`. So,
we can reuse this node for both `ShuffledHashJoin` and `Broa
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Github user srowen commented on a diff in the pull request:
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--- Diff: docs/mllib-statistics.md ---
@@ -542,7 +542,7 @@ JavaSparkContext jsc = ...
// Generate a random double RDD that contains 1 million i.i.d.
Github user srowen commented on a diff in the pull request:
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--- Diff: docs/mllib-statistics.md ---
@@ -521,7 +521,7 @@ val sc: SparkContext = ...
// Generate a random double RDD that contains 1 million i.i.d.
Github user vectorijk commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/regression.py ---
@@ -609,6 +611,150 @@ class GBTRegressionModel(TreeEnsembleModels):
"""
+@inherit_doc
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Thank you @NathanHowell. LGTM. Merging to master.
If you have time, can you create a follow-up PR for calling `parser.close`
in `GetJsonObject`?
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@mengxr Thank you for guiding this
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Can one of the admins verify this patch?
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[SPARK-10888] [SparkR] Adding as.DataFrame as a synonym to createDataFrame
as.DataFrame is more a R-style like signature.
Also, I'd like to know if we could make the context, e.g. sqlContext
glo
Github user shivaram commented on the pull request:
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Thanks @olarayej LGTM. Merging this
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@sun-rui Could you take one more look ?
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Github user cloud-fan commented on the pull request:
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I met this problem before, and actually it's not spark that detect them to
be 0 and -127, but JDBC. My solution is just adding a `OracleDialect` to handle
this sepcial
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--- Diff:
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---
@@ -307,3 +308,140 @@ case class GetJsonObject(j
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https://github.com/apache/spark/pull/8909#issuecomment-144529838
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Github user NathanHowell commented on the pull request:
https://github.com/apache/spark/pull/7946#issuecomment-144529990
Alright, I think I've addressed all your comments @yhuai. I haven't run the
tests though :-)
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8909#issuecomment-144529764
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GitHub user jayantshekhar opened a pull request:
https://github.com/apache/spark/pull/8951
[SPARK-10886] [Documentation] Random RDD creation example fix in MLlib
statistics programming guide - mllib-statistics.md
Fixed it to RandomRDDs.normalJavaRDD
You can merge this pull request
Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8909#issuecomment-144525589
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the pull request:
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Test FAILed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8909#issuecomment-144525512
[Test build #43135 has
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Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/8920#issuecomment-144525188
Thanks! Would you mind, please, assigning the corresponding jira to me and
resolving it ?
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