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Time : )
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The direction is right, but we need to restrict it to Cast
(string_typed_attr as integral types) and the operator types must be either
equal or not equal
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--- Diff: python/pyspark/sql/types.py ---
@@ -1629,35 +1629,112 @@ def to_arrow_type(dt):
return arrow_type
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gentle ping @Victsm
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[SPARK-21888][Hive]add hadoop/hive/hdfs configuration files in
SPARK_CONF_DIR to distribute archive
## What changes were proposed in this pull request?
When I ran self contained sql apps,
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@gatorsmile what will we need to go forward?
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Github user pralabhkumar commented on the issue:
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@MLnick @jkbradley Please find some time to review it . @sethah has given
LGTM
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We may have other udfs in other ml models that have the same issue. If this
approach is ok for the reviewers, we can make those udfs as non-deterministic
then.
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[SPARK-22446] Declare StringIndexerModel indexer udf as nondeterministic
## What changes were proposed in this pull request?
UDFs that can cause runtime exception on invalid data are not
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Thanks! Merged to master.
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>So why don't you include some classes such as
org.apache.spark.ml.feature.Instance ?
I'm not family with those algorithm, I can add them such as
`org.apache.spark.ml.feature.Instance` .
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Github user WeichenXu123 commented on the issue:
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And I don't know whether these class dependency injection into spark-core
lib is reasonable ...
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So why do you include the class such as
`org.apache.spark.ml.feature.Instance`.
You can look into a lot of algos, in `ml` package (not `mllib`), still use
something like `RDD[Instance]`
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Jenkins retest this please
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Github user ConeyLiu commented on the issue:
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Thanks for the suggestion, I re-raised a pr to solve this problem. Close it
now.
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[SPARK-22450][Core][Mllib]safely register class for mllib
## What changes were proposed in this pull request?
There are still some algorithms based on mllib, such as KMeans. For now,
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--- Diff: R/pkg/R/context.R ---
@@ -319,6 +319,27 @@ spark.addFile <- function(path, recursive = FALSE) {
invisible(callJMethod(sc, "addFile",
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--- Diff: R/pkg/R/context.R ---
@@ -319,6 +319,27 @@ spark.addFile <- function(path, recursive = FALSE) {
invisible(callJMethod(sc, "addFile",
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@@ -58,8 +62,9 @@
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@@ -686,18 +687,7 @@ class
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--- Diff: R/pkg/R/install.R ---
@@ -152,6 +152,9 @@ install.spark <- function(hadoopVersion = "2.7",
mirrorUrl = NULL,
})
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--- Diff: R/pkg/vignettes/sparkr-vignettes.Rmd ---
@@ -1183,3 +1183,24 @@ env | map
```{r, echo=FALSE}
sparkR.session.stop()
```
+
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--- Diff: R/pkg/tests/run-all.R ---
@@ -60,3 +60,22 @@ if (identical(Sys.getenv("NOT_CRAN"), "true")) {
NULL,
Github user kiszk commented on the issue:
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@cloud-fan could you please review this again since this version avoids to
override `ColumnVector.getArray` as you suggested?
cc @ueshin
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[SPARK-18755][WIP][ML] Add Randomized Grid Search to Spark ML
## What changes were proposed in this pull request?
Python sklearn has a randomized grid search for reducing the time for
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@shivaram could you take a look? I think this would do it
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
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@@ -105,6 +106,56 @@ private[feature] trait Word2VecBase extends Params
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/impl/Word2VecCBOWSolver.scala
---
@@ -0,0 +1,371 @@
+/*
+ * Licensed to the Apache
Github user mgaido91 commented on the issue:
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Oracle behaves like Spark after the patch:
```
select 'a' from dual where 1 in ('01');
// returns 'a'
select 'a' from dual where 1 in (select '01' from dual);
// returns 'a'
Github user mgaido91 commented on the issue:
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yes, of course. Which ones should I try? Hive and Oracle?
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Since we are trying to introduce a new behavior, could you try the other
systems and see how they behave in this scenario?
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--- Diff: docs/sql-programming-guide.md ---
@@ -1957,6 +1957,14 @@ Not all the APIs of the Hive UDF/UDTF/UDAF are
supported by Spark SQL. Below are
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Jenkins, retest this please
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I will look at this on Monday.
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jenkins retest this please
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