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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2018/11/01 14:18:00 UTC
[jira] [Created] (SPARK-25908) Remove old deprecated items in Spark
3
Sean Owen created SPARK-25908:
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Summary: 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: Sean Owen
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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