Github user gatorsmile commented on the issue:
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BTW, if we want to support the JSON strings like `{"a": "-Infinity"}` as
the FLOAT type, I think we also should support the float data in a string.
Below is an example.
```Scala
def
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
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@@ -46,4 +48,10 @@ class SameResultSuite extends QueryTest
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ok to test
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LGTM
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GitHub user phatak-dev opened a pull request:
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[SPARK-20723][ML]Add intermediate storage level to tree based classifiers
## What changes were proposed in this pull request?
Currently Random Forest implementation caches the
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retest this please
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Github user gatorsmile commented on the issue:
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We are handling the Json data sources here. Are the following inputs widely
used?
```
{"a": "+INF"}
{"a": "INF"}
{"a": "-INF"}
{"a": "NaN"}
{"a": "+NaN"}
{"a": "-NaN"}
Github user gatorsmile commented on the issue:
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Note, we do not support the following cases
```
def floatRecords: Dataset[String] =
spark.createDataset(spark.sparkContext.parallelize(
"""{"f": "18.00"}""" ::
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retest this please
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Github user HyukjinKwon commented on the issue:
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Unfortunately, we already support
```
"NaN"
"-Infinity"
"Infinity"
```
Now, this PR targets primarily to avoid unnecessary conversion try
primarily.
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Github user hhbyyh commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/mllib/linalg/Matrices.scala
---
@@ -992,7 +992,24 @@ object Matrices {
new DenseMatrix(dm.rows,
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Current unit test case is rudimentary. Any help in improving it is
appreciated.
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Github user HyukjinKwon commented on the issue:
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Given the existing logic below:
```
if (lowerCaseValue.equals("nan") ||
lowerCaseValue.equals("infinity") ||
lowerCaseValue.equals("-infinity") ||
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Github user HyukjinKwon commented on the issue:
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@gatorsmile, @cloud-fan and @viirya, could you take another look please? I
tried to get rid of all the behaviour changes existing in both previous PRs but
only leave the change to avoid the
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@gatorsmile Huh... in that case it looks like parser (?) needs a little
bit of work, unless of course following are features.
- Omitting `USING` doesn't work
```sql
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--- Diff: R/pkg/R/generics.R ---
@@ -799,6 +799,10 @@ setGeneric("write.df", function(df, path = NULL, ...)
{ standardGeneric("write.d
#' @export
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3769,3 +3769,33 @@ setMethod("alias",
sdf <- callJMethod(object@sdf, "alias", data)
Github user cloud-fan commented on the issue:
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When you omit `USING`, it's hive style CREATE TABLE syntax, which is very
different from Spark. We should encourage users to use the spark style CREATE
TABLE syntax and only document it(with
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cc @srowen @ajbozarth
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we are going to support bucketing in hive style CREATE TABLE syntax soon.
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thanks, merging to master/2.2!
I think this change is pretty safe, we can discuss 2 things later:
1. if we want to support more special strings like `Inf`
2. if we want to make it
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Thank you everybody sincerely.
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--- Diff:
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---
@@ -408,9 +425,7 @@ private[hive] class HiveClientImpl(
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--- Diff:
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@@ -307,6 +307,27 @@ case class InsertIntoHiveTable(
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -3769,3 +3769,33 @@ setMethod("alias",
sdf <- callJMethod(object@sdf, "alias", data)
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--- Diff: R/pkg/R/mllib_wrapper.R ---
@@ -0,0 +1,61 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor
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--- Diff:
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Thank you for comments, @falaki and @felixcheung . I added the duplication
link to the issue, SPARK-20684, and ask @falaki to close the JIRA issue because
he is the reporter.
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Github user dongjoon-hyun commented on the issue:
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Could this fix be part of Spark 2.2.0, @cloud-fan and @gatorsmile ?
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@@ -622,6 +622,31 @@ class CSVSuite extends
Github user kevinyu98 commented on the issue:
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test please.
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GitHub user zero323 reopened a pull request:
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[SPARK-20726][SPARKR] wrapper for SQL broadcast
## What changes were proposed in this pull request?
- Adds R wrapper for `o.a.s.sql.functions.broadcast`.
- Renames `broadcast` to
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--- Diff:
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---
@@ -17,6 +17,7 @@
package
GitHub user mikkokupsu opened a pull request:
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SPARK-20731][SQL] Add ability to change or omit .csv file extension in CSV
Data Source
## What changes were proposed in this pull request?
Add new option to CSV Data Source to make
Github user HyukjinKwon commented on the issue:
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Yea, Let's focus on the topic. For the cases below:
```
{"a": NaN}
{"a": Infinity}
{"a": +Infinity}
{"a": -Infinity}
```
They are related with
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LGTM - merging to master/2.2/2.1
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@cloud-fan can you backport this to 2.1?
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--- Diff: R/pkg/R/generics.R ---
@@ -799,6 +799,10 @@ setGeneric("write.df", function(df, path = NULL, ...)
{ standardGeneric("write.d
#' @export
Github user actuaryzhang commented on the issue:
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@imatiach-msft Thanks for the PR. Added a couple of comments. Sorry for the
delayed review.
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/BinaryClassificationEvaluator.scala
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@@ -77,12 +87,16 @@ class
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--- Diff:
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---
@@ -22,22 +22,22 @@ package
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--- Diff:
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---
@@ -36,12 +36,18 @@ import
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--- Diff:
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@@ -41,13 +41,27 @@ import
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@@ -146,11 +160,13 @@ class
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