[jira] [Resolved] (SPARK-28612) DataSourceV2: Add new DataFrameWriter API for v2

2019-09-19 Thread Burak Yavuz (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-28612?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Burak Yavuz resolved SPARK-28612.
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Fix Version/s: 3.0.0
 Assignee: Ryan Blue
   Resolution: Done

Remerged in [https://github.com/apache/spark/pull/25681]

> DataSourceV2: Add new DataFrameWriter API for v2
> 
>
> Key: SPARK-28612
> URL: https://issues.apache.org/jira/browse/SPARK-28612
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.0.0
>Reporter: Ryan Blue
>Assignee: Ryan Blue
>Priority: Major
> Fix For: 3.0.0
>
>
> This tracks adding an API like the one proposed in SPARK-23521:
> {code:lang=scala}
> df.writeTo("catalog.db.table").append() // AppendData
> df.writeTo("catalog.db.table").overwriteDynamic() // 
> OverwritePartiitonsDynamic
> df.writeTo("catalog.db.table").overwrite($"date" === '2019-01-01') // 
> OverwriteByExpression
> df.writeTo("catalog.db.table").partitionBy($"type", $"date").create() // CTAS
> df.writeTo("catalog.db.table").replace() // RTAS
> {code}



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[jira] [Resolved] (SPARK-28612) DataSourceV2: Add new DataFrameWriter API for v2

2019-08-31 Thread Burak Yavuz (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-28612?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Burak Yavuz resolved SPARK-28612.
-
Fix Version/s: 3.0.0
   Resolution: Fixed

Resolved by [https://github.com/apache/spark/pull/25354]

> DataSourceV2: Add new DataFrameWriter API for v2
> 
>
> Key: SPARK-28612
> URL: https://issues.apache.org/jira/browse/SPARK-28612
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.0.0
>Reporter: Ryan Blue
>Assignee: Ryan Blue
>Priority: Major
> Fix For: 3.0.0
>
>
> This tracks adding an API like the one proposed in SPARK-23521:
> {code:lang=scala}
> df.writeTo("catalog.db.table").append() // AppendData
> df.writeTo("catalog.db.table").overwriteDynamic() // 
> OverwritePartiitonsDynamic
> df.writeTo("catalog.db.table").overwrite($"date" === '2019-01-01') // 
> OverwriteByExpression
> df.writeTo("catalog.db.table").partitionBy($"type", $"date").create() // CTAS
> df.writeTo("catalog.db.table").replace() // RTAS
> {code}



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