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https://issues.apache.org/jira/browse/SPARK-25908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25908:
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Assignee: Apache Spark (was: Sean Owen)
> Remove old deprecated items in Spark 3
> --------------------------------------
>
> Key: SPARK-25908
> URL: https://issues.apache.org/jira/browse/SPARK-25908
> Project: Spark
> Issue Type: Task
> Components: Spark Core, SQL
> Affects Versions: 3.0.0
> Reporter: Sean Owen
> Assignee: Apache Spark
> Priority: Major
>
> There are many deprecated methods and classes in Spark. They _can_ be removed
> in Spark 3, and for those that have been deprecated a long time (i.e. since
> Spark <= 2.0), we should probably do so. This addresses most of these cases,
> the easiest ones, those that are easy to remove and are old:
> - Remove some AccumulableInfo .apply() methods
> - Remove non-label-specific multiclass precision/recall/fScore in favor of
> accuracy
> - Remove toDegrees/toRadians in favor of degrees/radians
> - Remove approxCountDistinct in favor of approx_count_distinct
> - Remove unused Python StorageLevel constants
> - Remove Dataset unionAll in favor of union
> - Remove unused multiclass option in libsvm parsing
> - Remove references to deprecated spark configs like spark.yarn.am.port
> - Remove TaskContext.isRunningLocally
> - Remove ShuffleMetrics.shuffle* methods
> - Remove BaseReadWrite.context in favor of session
> - Remove Column.!== in favor of =!=
> - Remove Dataset.explode
> - Remove Dataset.registerTempTable
> - Remove SQLContext.getOrCreate, setActive, clearActive, constructors
> Not touched yet:
> - everything else in MLLib
> - HiveContext
> - Anything deprecated more recently than 2.0.0, generally
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