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https://issues.apache.org/jira/browse/SPARK-14810?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath updated SPARK-14810:
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Description:
Generate a list of binary incompatible changes using MiMa and create new JIRAs
for issues found. Filter out false positives as needed.
If you want to take this task, look at the analogous task from the previous
release QA, and ping the Assignee for advice.
List of changes since {{1.6.0}} audited - these are "false positives" due to
being private, @Experimental, DeveloperAPI, etc:
* SPARK-13686 - Add a constructor parameter `regParam` to
(Streaming)LinearRegressionWithSGD
* SPARK-13664 - Replace HadoopFsRelation with FileFormat
* SPARK-11622 - Make LibSVMRelation extends HadoopFsRelation and Add
LibSVMOutputWriter
* SPARK-13920 - MIMA checks should apply to @Experimental and @DeveloperAPI APIs
* SPARK-11011 - UserDefinedType serialization should be strongly typed
* SPARK-13817 - Re-enable MiMA and removes object DataFrame
Binary incompatible changes:
* SPARK-14089 - Remove methods that has been deprecated since 1.1, 1.2, 1.3,
1.4, and 1.5
* DataFrame -> Dataset<Row> changes for Java (this of course applies for all of
Spark SQL)
was:
Generate a list of binary incompatible changes using MiMa and create new JIRAs
for issues found. Filter out false positives as needed.
If you want to take this task, look at the analogous task from the previous
release QA, and ping the Assignee for advice.
List of changes since {{1.6.0}} audited - these are "false positives" due to
being private, @Experimental, DeveloperAPI, etc:
* SPARK-13686 - Add a constructor parameter `regParam` to
(Streaming)LinearRegressionWithSGD
* SPARK-13664 - Replace HadoopFsRelation with FileFormat
* SPARK-11622 - Make LibSVMRelation extends HadoopFsRelation and Add
LibSVMOutputWriter
* SPARK-13920 - MIMA checks should apply to @Experimental and @DeveloperAPI APIs
* SPARK-11011 - UserDefinedType serialization should be strongly typed
* SPARK-13817 - Re-enable MiMA and removes object DataFrame
Binary incompatible changes:
* SPARK-14089 - Remove methods that has been deprecated since 1.1, 1.2, 1.3,
1.4, and 1.5
> ML, Graph 2.0 QA: API: Binary incompatible changes
> --------------------------------------------------
>
> Key: SPARK-14810
> URL: https://issues.apache.org/jira/browse/SPARK-14810
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, GraphX, ML, MLlib
> Reporter: Joseph K. Bradley
> Assignee: Nick Pentreath
>
> Generate a list of binary incompatible changes using MiMa and create new
> JIRAs for issues found. Filter out false positives as needed.
> If you want to take this task, look at the analogous task from the previous
> release QA, and ping the Assignee for advice.
> List of changes since {{1.6.0}} audited - these are "false positives" due to
> being private, @Experimental, DeveloperAPI, etc:
> * SPARK-13686 - Add a constructor parameter `regParam` to
> (Streaming)LinearRegressionWithSGD
> * SPARK-13664 - Replace HadoopFsRelation with FileFormat
> * SPARK-11622 - Make LibSVMRelation extends HadoopFsRelation and Add
> LibSVMOutputWriter
> * SPARK-13920 - MIMA checks should apply to @Experimental and @DeveloperAPI
> APIs
> * SPARK-11011 - UserDefinedType serialization should be strongly typed
> * SPARK-13817 - Re-enable MiMA and removes object DataFrame
> Binary incompatible changes:
> * SPARK-14089 - Remove methods that has been deprecated since 1.1, 1.2, 1.3,
> 1.4, and 1.5
> * DataFrame -> Dataset<Row> changes for Java (this of course applies for all
> of Spark SQL)
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