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Github user cloud-fan commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -830,6 +830,13 @@ class DatasetSuite extends QueryTest with
Github user sun-rui commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user hvanhovell commented on the issue:
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@maropu this won't work for other `hive_udf`s since these also maintain
internal state, and currently require per group processing. This also has a
greater potential of creating out-of-memory
Github user tejasapatil commented on the issue:
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Will re-open when I am ready
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user sun-rui commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user liancheng commented on the issue:
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LGTM except for minor issues.
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--- Diff: docs/sparkr.md ---
@@ -262,6 +262,83 @@ head(df)
{% endhighlight %}
+### Applying User-defined Function
+In SparkR, we
Github user liancheng commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
---
@@ -830,6 +830,13 @@ class DatasetSuite extends QueryTest with
Github user sun-rui commented on the issue:
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Can you add documentation for gapply() and gapplyCollect() together here?
or @NarineK will do in another PR?
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--- Diff:
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@@ -110,16 +110,25 @@ object ExpressionEncoder {
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Github user sun-rui commented on the issue:
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I think spark.lapply() is a case that demonstrates the need for supporting
Dataset in SparkR. Removing the explicit sc parameter is quite helpful to
moving to Dataset internally in the future if
Github user koeninger commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,401 @@
+/*
+ *
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--- Diff:
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---
@@ -0,0 +1,309 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -0,0 +1,401 @@
+/*
+ *
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
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@@ -421,6 +421,13 @@ object SparkHadoopUtil {
val
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--- Diff:
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@@ -0,0 +1,401 @@
+/*
+ * Licensed
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--- Diff:
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@@ -0,0 +1,401 @@
+/*
+ * Licensed
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+/*
+ *
Github user tgravescs commented on the issue:
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the jira says this worked in spark 1.4 but not spark 1.5 or 1.6, do we know
why? was spark loading the configuration somewhere else early on in spark 1.4?
I must be misunderstanding your
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+/*
+ *
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Github user gatorsmile commented on the issue:
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Thank you! : ) @cloud-fan
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--- Diff:
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retest this please
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GitHub user liancheng opened a pull request:
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[SPARK-16037][SQL] Follow-up: add DataFrameWriter.insertInto() test cases
for by position resolution
## What changes were proposed in this pull request?
This PR migrates some test cases
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--- Diff:
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@@ -412,6 +417,17 @@ class DataFrameReader private[sql](sparkSession:
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--- Diff:
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@@ -21,11 +21,32 @@ import scala.language.postfixOps
import
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--- Diff:
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@@ -177,38 +180,61 @@ private[sql] class
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[SPARK-16104][SQL] Do not creaate CSV writer object for every flush when
writing
## What changes were proposed in this pull request?
This PR let `CsvWriter` object is not created for
Github user srowen commented on the issue:
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Certainly looks more correct
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Github user jerryshao commented on the issue:
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Jenkins, retest this please.
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Github user HyukjinKwon commented on the issue:
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@DanielMe Yes, actually it seems a different issue when you use
`emptyRDD[Row]`. Apparently, this case does not produce any partitions whereas
the code provided by @jurriaan produces some empty
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/13764
oh sorry looks like l made a false alarm, and thanks for adding these tests!
LGTM, can you resolve the conflict? thanks!
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[SPARK-14480][SQL] Remove meaningless StringIteratorReader for CSV data
source.
## What changes were proposed in this pull request?
This PR removes meaningless `StringIteratorReader`
Github user DanielMe commented on the issue:
https://github.com/apache/spark/pull/12855
I can reproduce the issue that @jurriaan reports on 1.6.0 and on 1.5.2. The
issue does not occur on 1.3.1.
I have added a comment to the JIRA issue with more detailed instructions
how to
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/13765
Sorry we are very close to 2.0 release (and very busy to get it done) and
this is too late to get into 2.0. How about we revisit it after 2.0 release?
thanks!
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@@ -26,6 +27,55 @@ import
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cc @yhuai @liancheng @clockfly
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[SPARK-16097][SQL] Encoders.tuple should handle null object correctly
## What changes were proposed in this pull request?
Although the top level input object can not be null, but when we
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--- Diff:
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@@ -142,3 +164,415 @@ class GenericArrayData(val array:
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@@ -142,3 +164,415 @@ class GenericArrayData(val array:
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@@ -26,6 +27,55 @@ import
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retest this please
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[SPARK-16044][SQL] Backport input_file_name() for data source based on
NewHadoopRDD to branch 1.6
## What changes were proposed in this pull request?
This PR backports
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@@ -21,11 +21,32 @@ import scala.language.postfixOps
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