[ 
https://issues.apache.org/jira/browse/SPARK-19544?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-19544:
---------------------------------
    Description: 
Currently,

{code}
Seq((1,("a", 1))).toDF union Seq((1L,("a", "b"))).toDF
org.apache.spark.sql.AnalysisException: Union can only be performed on tables 
with the compatible column types. LongType <> IntegerType at the first column 
of the second table;;
{code}

It prints that it fails due to {{LongType <> IntegerType}} whereas actually it 
is  {{StructType(...) <> StructType(...)}}

  was:
Currently,

{code}
Seq((1,("a", 1))).toDF union Seq((1L,("a", "b"))).toDF
org.apache.spark.sql.AnalysisException: Union can only be performed on tables 
with the compatible column types. LongType <> IntegerType at the first column 
of the second table;;
{code}

It prints that it fails due to {{ LongType <> IntegerType}} whereas actually it 
is  {{StructType(...) <> StructType(...)}}


> Improve error message when some column types are compatible and others are 
> not in set/union operations
> ------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19544
>                 URL: https://issues.apache.org/jira/browse/SPARK-19544
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> Currently,
> {code}
> Seq((1,("a", 1))).toDF union Seq((1L,("a", "b"))).toDF
> org.apache.spark.sql.AnalysisException: Union can only be performed on tables 
> with the compatible column types. LongType <> IntegerType at the first column 
> of the second table;;
> {code}
> It prints that it fails due to {{LongType <> IntegerType}} whereas actually 
> it is  {{StructType(...) <> StructType(...)}}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to