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https://issues.apache.org/jira/browse/SPARK-15383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lijie Xu updated SPARK-15383:
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Description:
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];
was:
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];
> 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: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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