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https://issues.apache.org/jira/browse/SPARK-12233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Fengdong Yu updated SPARK-12233:
--------------------------------
Description:
Background:
two tables:
tableA(id string, name string, gender string)
tableB(id string, name string)
{code}
val df1 = sqlContext.sql("select * from tableA")
val df2 = sqlContext.sql("select * from tableB")
//Wrong
df1.join(df2, Seq("id", "name")).select(df2("id"), df2("name"), df1("gender"))
//Correct
df1.join(df2, Seq("id", "name").select("id", "name", "gender")
{code}
========
Cannot specify column of data frame for 'gender'
was:
Background:
two tables:
tableA(id string, name string, gender string)
tableB(id string, name string)
{code}
val df1 = sqlContext.sql(select * from tableA)
val df2 = sqlContext.sql(select * from tableB)
//Wrong
df1.join(df2, Seq("id", "name").select(df2("id"), df2("name"), df1("gender"))
//Correct
df1.join(df2, Seq("id", "name").select("id", "name", "gender")
{code}
========
Cannot specify column of data frame for 'gender'
> Cannot specify a data frame column during join
> ----------------------------------------------
>
> Key: SPARK-12233
> URL: https://issues.apache.org/jira/browse/SPARK-12233
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.2
> Reporter: Fengdong Yu
> Priority: Minor
>
> Background:
> two tables:
> tableA(id string, name string, gender string)
> tableB(id string, name string)
> {code}
> val df1 = sqlContext.sql("select * from tableA")
> val df2 = sqlContext.sql("select * from tableB")
> //Wrong
> df1.join(df2, Seq("id", "name")).select(df2("id"), df2("name"), df1("gender"))
> //Correct
> df1.join(df2, Seq("id", "name").select("id", "name", "gender")
> {code}
> ========
> Cannot specify column of data frame for 'gender'
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