Goun Na created SPARK-25430:
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Summary: Add map parameter for withColumnRenamed
Key: SPARK-25430
URL: https://issues.apache.org/jira/browse/SPARK-25430
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.3.1
Reporter: Goun Na
WithColumnRenamed method should work with map parameter. It removes code
redundancy.
{code:java}
// example
df.withColumnRenamed(Map( "c1" -> "first_column", "c2" -> "second_column"
)){code}
{code:java}
// from abbr columns to desc columns
val m = Map( "c1" -> "first_column", "c2" -> "second_column" )
df1.withColumnRenamed(m)
df2.withColumnRenamed(m){code}
It is useful for CJK users when they are working on analysis in notebook
environment such as Zeppelin, Databricks, Apache Toree.
{code:java}
// for CJK users once define dictionary into map, reuse column map to translate
columns whenever report visualization is required
val m = Map( "c1" -> "컬럼_1", "c2" -> "컬럼_2")
df1.withColumnRenamed(m)
df2.withColumnRenamed(m)
{code}
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