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Github user zhengruifeng closed the pull request at:
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: R/pkg/R/schema.R ---
@@ -76,7 +76,7 @@ structType.structField <- function(x, ...) {
#' @rdname structType
#' @method structType chara
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Can one of the admins verify this patch?
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GitHub user Shanshan-IC opened a pull request:
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SPARK-21359
## What changes were proposed in this pull request?
As described in https://issues.apache.org/jira/browse/SPARK-21359
add new functions for frequency discretizer tr
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Let me cc @gatorsmile and @maropu who I believe are interested in this.
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Github user vruusmann commented on the issue:
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Good to know that there will be some relief coming in Apache Spark 2.3.X.
I don't think that the shading will break any Spark application that
depends on the `PMMLExportable` trait, becaus
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Github user srowen commented on the issue:
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CC @vanzin for a look at the shading, as a sense check
maybe @jkbradley or @MLnick is interested in this change too.
@vruusmann later I think we could update to JPMML 1.3 too.
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Shade JPMML
## What changes were proposed in this pull request?
Shade JPMML classes (`org.jpmml.**`) and related PMML model classes
(`org.dmg.pmml.**`). This insulates downstream users from
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[SPARK-21332][SQL] Incorrect result type inferred for some decimal
expressions
## What changes were proposed in this pull request?
This PR changes the direction of expression transform
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Github user HyukjinKwon commented on the issue:
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cc @cloud-fan, could you take a look please when you have some time?
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I guess we need few more tests about CSV and changes. Let me leave this out
in the documentation here for now.
Few more test cases should be about writing out with a custom line separato
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@cloud-fan Thanks! BTW, we better handle other duplication (e.g., local
temporary tables)?;
```
scala> Seq((1, 1)).toDF("a", "a").createOrReplaceTempView("t")
scala> sql("SELECT * FROM t")
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@@ -0,0 +1,254 @@
+/*
+ * Licensed to the Apac
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thanks, merging to master!
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--- Diff:
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@@ -0,0 +1,133 @@
+-- Automatically generated by SQLQueryTes
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}
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Retest this please.
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In case of `UNION ALL`, everything looks normal. So, it would be a case of
regression.
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The following is the output of the current Spark.
```scala
scala> spark.range(10).write.saveAsTable("t1")
scala> spark.range(100,110).write.saveAsTable("t2")
scala> sql
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Github user gatorsmile commented on the issue:
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@dongjoon-hyun What is the output of Hive for your case?
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Jenkins, retest this please
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Let me leave this as a WIP. Will be back after having some talk with
Univocity author.
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[SPARK-18619][ML] Make
QuantileDiscretizer/Bucketizer/StringIndexer/RFormula inherit from
HasHandleInvalid
## What changes were proposed in this pull request?
1, HasHandleInvaild support
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retest this please
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Hi @srowen , Thanks very much for your review.
I will revise the document of this PR to soften the language.
According to my profiling data, I guess, when the native BLAS is loaded (or
when a
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Github user dongjoon-hyun commented on the issue:
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Thank you for review and merging, @srowen .
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