[ https://issues.apache.org/jira/browse/SPARK-15383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-15383.
-------------------------------
Resolution: Duplicate
That condition isn't sufficient. Really you're asking for "DataFrame.zip", in which case this
is a duplicate.
> Support appending new columns from other DataFrames
> ---------------------------------------------------
>
> 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:java}
> 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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