Lijie Xu created SPARK-15383:
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Summary: Support appending a new column from another DataFrame
Key: SPARK-15383
URL: https://issues.apache.org/jira/browse/SPARK-15383
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 1.6.1
Reporter: Lijie Xu
Priority: Minor
It is common to add column(s) from other DataFrame(s) as follows. However,
current *withColumn()* function only supports appending a new column from the
same DataFrame.
{code:scala}
val df1 = sc.makeRDD(1 to 5).toDF("a")
val df2 = sc.makeRDD(10 to 15).toDF("b")
val df = df1.withColumn("b", df2("b")) // Exception
{code}
Exception in thread "main" org.apache.spark.sql.AnalysisException: resolved
attribute(s) b#3 missing from a#1 in operator !Project [a#1,b#3 AS b#4];
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