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[SPARK-17141] [ML] MinMaxScaler should remain NaN value.
## What changes were proposed in this pull request?
```MinMaxScaler``` should remain ```NaN``` value.
## How was this pa
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@@ -264,10 +261,8 @@ case class AlterTableUnsetPropertiesCommand(
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--- Diff: R/pkg/R/utils.R ---
@@ -689,3 +689,33 @@ getSparkContext <- function() {
sc <- get(".sparkRjsc", envir = .sparkREnv)
sc
}
+
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GitHub user jagadeesanas2 opened a pull request:
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[SPARK-17085] [Streaming] [Documentation and actual code differs -
Unsupported Operations]
You can merge this pull request into a Git repository by running:
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GitHub user jianran opened a pull request:
https://github.com/apache/spark/pull/14714
paged jdbcRDD for like mysql limit start,pageSize
## What changes were proposed in this pull request?
new feature for jdbcRDD with mysql limit query
## How was this patch tested?
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Github user HyukjinKwon commented on the issue:
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I believe we can change the default vale of `nullValue` to
`'\u'.toString` in order to express any value is not `null`. I remember
this matches with no empty string nor any other string alth
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -932,7 +932,7 @@ setMethod("sample_frac",
#' @param x a SparkDataFrame.
#' @family SparkDataFrame functions
Github user hvanhovell commented on the issue:
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Could you update?
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Github user HyukjinKwon commented on the issue:
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@rxin Please let me leave my though why I thought it looks good to me in
case it is helpful.
Yes, but we should set `nullValue` for writing `null`. So, I think, setting
`""` for `nullVa
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Github user rxin commented on the issue:
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The change looks simple & good. Left couple minor comment.
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--- Diff:
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@@ -31,6 +34,9 @@
* of the file format).
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--- Diff: R/pkg/R/utils.R ---
@@ -689,3 +689,33 @@ getSparkContext <- function() {
sc <- get(".sparkRjsc", envir = .sparkREnv)
sc
}
+
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@@ -50,7 +56,21 @@ public UnsafeSorterSpillReader(
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--- Diff: R/pkg/R/mllib.R ---
@@ -632,3 +642,146 @@ setMethod("predict", signature(object =
"AFTSurvivalRegressionModel"),
function(object
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--- Diff:
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@@ -75,4 +76,16 @@ case class LocalRelation(outp
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Github user felixcheung commented on the issue:
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Hmm, I'm beginning to think we could do this:
```
generics.R
setGeneric("spark.naiveBayes", function(data, formula, ...) {
standardGeneric("spark.naiveBayes") })
```
```
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@@ -1208,17 +1208,27 @@ object PushDownPredicate extends Rule
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okay, thanks!!
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Github user cloud-fan commented on a diff in the pull request:
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@@ -1208,17 +1208,27 @@ object PushDownPredicate extends
Github user hvanhovell commented on the issue:
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Yeah, lets pick this up again. Thanks for the ping.
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@@ -95,6 +95,12 @@ abstract class LogicalPlan extends
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -932,7 +932,7 @@ setMethod("sample_frac",
#' @param x a SparkDataFrame.
#' @family SparkDataFrame functions
Github user rxin commented on a diff in the pull request:
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--- Diff:
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@@ -1208,17 +1208,27 @@ object PushDownPredicate extends Rule
Github user felixcheung commented on the issue:
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but to keep in mind, currently even spark.master can change while in-flight
- doesn't seem like Spark Scala code prevents that - we could get some very
wrong values. I'm not sure that is super r
Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/12790
@BryanCutler @MechCoder The current fix of removing the default value for
the ```stages``` param is OK for me. But we also should discuss the behavior of
```stages=[]``` which is inconsistent bet
Github user junyangq commented on the issue:
https://github.com/apache/spark/pull/14384
test this please
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@@ -1208,17 +1208,27 @@ object PushDownPredicate extend
Github user felixcheung commented on the issue:
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It's all of the Runtime Config from the current active SparkSession which
includes all SparkConf.
http://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.SparkSess
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--- Diff: R/pkg/R/functions.R ---
@@ -2276,9 +2276,8 @@ setMethod("n_distinct", signature(x = "Column"),
countDistinct(x, ...)
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--- Diff:
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@@ -1208,17 +1208,27 @@ object PushDownPredicate extends
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--- Diff: R/pkg/R/functions.R ---
@@ -1335,7 +1336,7 @@ setMethod("rtrim",
#' @note sd since 1.6.0
setMethod("sd",
signature(x = "Co
Github user cloud-fan commented on the issue:
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LGTM
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--- Diff: R/pkg/R/mllib.R ---
@@ -917,14 +922,14 @@ setMethod("spark.lda", signature(data =
"SparkDataFrame"),
# Returns a summary of the AFT survival
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--- Diff:
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@hvanhovell ping
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14118
What if I am writing explicitly an empty string out? Does it become just
1,,2?
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Github user sun-rui commented on the issue:
https://github.com/apache/spark/pull/14639
Does this API get only the Spark SQL configurations or including SparkConf?
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14713
**[Test build #64050 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64050/consoleFull)**
for PR 14713 at commit
[`9be428a`](https://github.com/apache/spark/commit/9
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14583
I'm fixing this differently here: https://github.com/apache/spark/pull/14713
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/14713
[SPARK-16994][SQL] Whitelist operators for predicate push down
## What changes were proposed in this pull request?
This patch changes predicate push down optimization rule
(PushDownPredicate) from
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