You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/10/13 04:22:20 UTC

[jira] [Updated] (SPARK-17900) Mark the following Spark SQL APIs as stable

     [ https://issues.apache.org/jira/browse/SPARK-17900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin updated SPARK-17900:
--------------------------------
    Description: 
Mark the following stable:

Dataset/DataFrame
- functions, since 1.3
- ColumnName, since 1.3
- DataFrameNaFunctions, since 1.3.1
- DataFrameStatFunctions, since 1.4
- UserDefinedFunction, since 1.3
- UserDefinedAggregateFunction, since 1.5
- Window and WindowSpec, since 1.4

Data sources:
- DataSourceRegister, since 1.5
- RelationProvider, since 1.3
- SchemaRelationProvider, since 1.3
- CreatableRelationProvider, since 1.3
- BaseRelation, since 1.3
- TableScan, since 1.3
- PrunedScan, since 1.3
- PrunedFilteredScan, since 1.3
- InsertableRelation, since 1.3


Keep the following experimental / evolving:

Data sources:
- CatalystScan (tied to internal logical plans so it is not stable by definition)

Structured streaming:
- all classes (introduced new in 2.0 and will likely change)

Dataset typed operations (introduced in 1.6 and 2.0 and might change, although probability is low)
- all typed methods on Dataset
- KeyValueGroupedDataset
- o.a.s.sql.expressions.javalang.typed
- o.a.s.sql.expressions.scalalang.typed
- methods that return typed Dataset in SparkSession


  was:

Mark the following stable:

Dataset/DataFrame
- functions, since 1.3
- ColumnName, since 1.3
- DataFrameNaFunctions, since 1.3.1
- DataFrameStatFunctions, since 1.4
- UserDefinedFunction, since 1.3
- UserDefinedAggregateFunction, since 1.5
- Window and WindowSpec, since 1.4

Data sources:
- DataSourceRegister, since 1.5
- RelationProvider, since 1.3
- SchemaRelationProvider, since 1.3
- CreatableRelationProvider, since 1.3
- BaseRelation, since 1.3
- TableScan, since 1.3
- PrunedScan, since 1.3
- PrunedFilteredScan, since 1.3
- InsertableRelation, since 1.3


Keep the following experimental / evolving:

Data sources:
- CatalystScan

Structured streaming:
- all classes remain Experimental / Evolving

Dataset typed operations:
- all typed methods on Dataset
- KeyValueGroupedDataset
- o.a.s.sql.expressions.javalang.typed
- o.a.s.sql.expressions.scalalang.typed
- methods that return typed Dataset in SparkSession



> Mark the following Spark SQL APIs as stable
> -------------------------------------------
>
>                 Key: SPARK-17900
>                 URL: https://issues.apache.org/jira/browse/SPARK-17900
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Reynold Xin
>
> Mark the following stable:
> Dataset/DataFrame
> - functions, since 1.3
> - ColumnName, since 1.3
> - DataFrameNaFunctions, since 1.3.1
> - DataFrameStatFunctions, since 1.4
> - UserDefinedFunction, since 1.3
> - UserDefinedAggregateFunction, since 1.5
> - Window and WindowSpec, since 1.4
> Data sources:
> - DataSourceRegister, since 1.5
> - RelationProvider, since 1.3
> - SchemaRelationProvider, since 1.3
> - CreatableRelationProvider, since 1.3
> - BaseRelation, since 1.3
> - TableScan, since 1.3
> - PrunedScan, since 1.3
> - PrunedFilteredScan, since 1.3
> - InsertableRelation, since 1.3
> Keep the following experimental / evolving:
> Data sources:
> - CatalystScan (tied to internal logical plans so it is not stable by definition)
> Structured streaming:
> - all classes (introduced new in 2.0 and will likely change)
> Dataset typed operations (introduced in 1.6 and 2.0 and might change, although probability is low)
> - all typed methods on Dataset
> - KeyValueGroupedDataset
> - o.a.s.sql.expressions.javalang.typed
> - o.a.s.sql.expressions.scalalang.typed
> - methods that return typed Dataset in SparkSession



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org