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Thanks - merging in master.
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Github user rxin commented on the issue:
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Are all script transforms broken? Don't we already have a test case that
actually run script transforms?
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Github user shivaram commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
Github user NarineK commented on a diff in the pull request:
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
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cc @srowen
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@rxin Do you think it looks okay now ?
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@marmbrus Do you think this is useful ?
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
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Github user chenghao-intel commented on the issue:
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HiveConf provides default value
`org.apache.hadoop.hive.ql.exec.TextRecordReader`,
`org.apache.hadoop.hive.ql.exec.TextRecordWriter` for keys
`hive.script.recordreader` and
Github user adrian-wang commented on the issue:
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@rxin In Spark 2.0, those conf values start with "hive.", which have
default value in HiveConf, cannot get the default value now.
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
Github user HyukjinKwon commented on the issue:
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ping @mengxr and @yanboliang
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cc @liancheng
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GitHub user HyukjinKwon opened a pull request:
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[SPARK-16562][SQL] Do not allow downcast in INT32 based types for normal
Parquet reader
## What changes were proposed in this pull request?
Currently, INT32 based types, (`ShortType`,
Github user mariobriggs commented on the issue:
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What i tried to do as a 'side fix' was like this,
eliminate [1] since it was a lazy val.
Move [2] out of the code path of the main thread i.e. let ListenerBus
thread pay the
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/14216
[SPARK-16561][MLLib] fix multivarOnlineSummary min/max bug
## What changes were proposed in this pull request?
add a member vector `cnnz` to count each dimensions non-zero value
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
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Github user mariobriggs commented on the issue:
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> [1] should not be eliminated in general;
I dont understand the full internal aspects of IncrementalExecution, but
my generally thinking was that 1 can be eliminated because
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Github user HyukjinKwon commented on the issue:
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Hi @gatorsmile @dongjoon-hyun @liancheng , currently this deals with only
`NumericType` except `DecimalType` for upcasting only for non-vectorized reader.
Before proceeding further, I
GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/14215
[SPARK-16544][SQL][WIP] Support for conversion from compatible schema for
Parquet data source when data types are not matched
## What changes were proposed in this pull request?
This
Github user nblintao commented on the issue:
https://github.com/apache/spark/pull/14158
Updated by truncating long texts and adding a tooltip.
The detail description and the screenshot at
https://github.com/apache/spark/pull/14158#issue-165127460 is also updated.
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GitHub user lw-lin opened a pull request:
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[SPARK-16545][SQL] Eliminate one unnecessary round of physical planning in
ForeachSink
## Problem
As reported by
[SPARK-16545](https://issues.apache.org/jira/browse/SPARK-16545), in
Github user rxin commented on the issue:
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What do you mean that "Since Spark 2.0 has deleted those config keys from
hive conf" ?
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Github user techaddict commented on the issue:
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@cloud-fan anything else, it good to merge ?
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--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1416,13 +1416,25 @@ def drop(self, col):
>>> df.join(df2, df.name == df2.name,
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Github user asfgit closed the pull request at:
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Merging in master/2.0.
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OK, I close it. Thanks.
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--- Diff:
launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java ---
@@ -359,6 +364,82 @@ public SparkLauncher setVerbose(boolean verbose) {
Github user vanzin commented on a diff in the pull request:
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--- Diff:
launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java ---
@@ -82,8 +83,12 @@
/** Used internally to create unique logger
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GitHub user jkbradley opened a pull request:
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[SPARK-14817][ML][MLLIB][DOC] Made DataFrame-based API primary in MLlib
guide
## What changes were proposed in this pull request?
Made DataFrame-based API primary
* Spark doc menu
GitHub user tilumi reopened a pull request:
https://github.com/apache/spark/pull/14129
[SPARK-16280][SQL][WIP] Implement histogram_numeric SQL function
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was
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Github user tilumi commented on the issue:
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I Implement 3 kinds of histogram_numeric and the result is
(10, 100)).map((pair) => {
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Github user jerryshao commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2409,9 +2409,9 @@ private[spark] object Utils extends Logging {
*
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Github user jameszhouyi commented on the issue:
https://github.com/apache/spark/pull/14169
Hi Spark guys,
Could you please help to review this PR to merge it in Spark 2.0.0 ? Thanks
in advance !
Best Regards,
Yi
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Github user dongjoon-hyun commented on the issue:
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The following is updated.
- Add more descriptions and test cases (about finding closest table and
nested hint).
- Support no parameter hint like `/*+ INDEX */`.
- Generalize
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--- Diff:
launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java ---
@@ -359,6 +364,82 @@ public SparkLauncher setVerbose(boolean verbose)
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--- Diff: docs/sparkr.md ---
@@ -316,6 +314,139 @@ head(ldf, 3)
{% endhighlight %}
+ Run a given function on a large dataset
Github user felixcheung commented on the issue:
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LGTM
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Github user andreweduffy commented on a diff in the pull request:
https://github.com/apache/spark/pull/14201#discussion_r70904921
--- Diff:
launcher/src/main/java/org/apache/spark/launcher/SparkLauncher.java ---
@@ -82,8 +83,12 @@
/** Used internally to create unique logger
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14179#discussion_r70904015
--- Diff: R/pkg/R/sparkR.R ---
@@ -155,6 +155,9 @@ sparkR.sparkContext <- function(
existingPort <-
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14079
Merged build finished. Test PASSed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14079
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/62351/
Test PASSed.
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