[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2016-05-02 Thread Yin Huai (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yin Huai updated SPARK-6817:

Component/s: (was: SQL)

> DataFrame UDFs in R
> ---
>
> Key: SPARK-6817
> URL: https://issues.apache.org/jira/browse/SPARK-6817
> Project: Spark
>  Issue Type: New Feature
>  Components: SparkR
>Reporter: Shivaram Venkataraman
>
> This depends on some internal interface of Spark SQL, should be done after 
> merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2016-04-28 Thread Shivaram Venkataraman (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivaram Venkataraman updated SPARK-6817:
-
Target Version/s: 2.0.0

> DataFrame UDFs in R
> ---
>
> Key: SPARK-6817
> URL: https://issues.apache.org/jira/browse/SPARK-6817
> Project: Spark
>  Issue Type: New Feature
>  Components: SparkR, SQL
>Reporter: Shivaram Venkataraman
>
> This depends on some internal interface of Spark SQL, should be done after 
> merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2016-01-19 Thread Sun Rui (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sun Rui updated SPARK-6817:
---
Attachment: (was: SparkR UDF Design Documentation v1.pdf)

> DataFrame UDFs in R
> ---
>
> Key: SPARK-6817
> URL: https://issues.apache.org/jira/browse/SPARK-6817
> Project: Spark
>  Issue Type: New Feature
>  Components: SparkR, SQL
>Reporter: Shivaram Venkataraman
>
> This depends on some internal interface of Spark SQL, should be done after 
> merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2016-01-12 Thread Sun Rui (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sun Rui updated SPARK-6817:
---
Attachment: SparkR UDF Design Documentation v1.pdf

> DataFrame UDFs in R
> ---
>
> Key: SPARK-6817
> URL: https://issues.apache.org/jira/browse/SPARK-6817
> Project: Spark
>  Issue Type: New Feature
>  Components: SparkR, SQL
>Reporter: Shivaram Venkataraman
> Attachments: SparkR UDF Design Documentation v1.pdf
>
>
> This depends on some internal interface of Spark SQL, should be done after 
> merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2015-11-03 Thread Shivaram Venkataraman (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivaram Venkataraman updated SPARK-6817:
-
Target Version/s:   (was: 1.6.0)

> DataFrame UDFs in R
> ---
>
> Key: SPARK-6817
> URL: https://issues.apache.org/jira/browse/SPARK-6817
> Project: Spark
>  Issue Type: New Feature
>  Components: SparkR, SQL
>Reporter: Shivaram Venkataraman
>
> This depends on some internal interface of Spark SQL, should be done after 
> merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2015-08-03 Thread Michael Armbrust (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Michael Armbrust updated SPARK-6817:

Target Version/s: 1.6.0  (was: 1.5.0)

 DataFrame UDFs in R
 ---

 Key: SPARK-6817
 URL: https://issues.apache.org/jira/browse/SPARK-6817
 Project: Spark
  Issue Type: New Feature
  Components: SparkR, SQL
Reporter: Shivaram Venkataraman

 This depends on some internal interface of Spark SQL, should be done after 
 merging into Spark.



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[jira] [Updated] (SPARK-6817) DataFrame UDFs in R

2015-05-05 Thread Shivaram Venkataraman (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shivaram Venkataraman updated SPARK-6817:
-
Target Version/s: 1.5.0  (was: 1.4.0)

 DataFrame UDFs in R
 ---

 Key: SPARK-6817
 URL: https://issues.apache.org/jira/browse/SPARK-6817
 Project: Spark
  Issue Type: New Feature
  Components: SparkR, SQL
Reporter: Shivaram Venkataraman

 This depends on some internal interface of Spark SQL, should be done after 
 merging into Spark.



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