[jira] [Issue Comment Deleted] (SPARK-15722) Wrong data when CTAS specifies schema

2016-06-03 Thread Andrew Or (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Or updated SPARK-15722:
--
Comment: was deleted

(was: User 'andrewor14' has created a pull request for this issue:
https://github.com/apache/spark/pull/13457)

> Wrong data when CTAS specifies schema
> -
>
> Key: SPARK-15722
> URL: https://issues.apache.org/jira/browse/SPARK-15722
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.0.0
>Reporter: Andrew Or
>Assignee: Andrew Or
>
> {code}
> scala> sql("CREATE TABLE boxes (width INT, length INT, height INT) USING CSV")
> scala> (1 to 3).map { i => (i, i * 2, i * 3) }.toDF("height", "length", 
> "width").write.insertInto("boxes")
> scala> spark.table("boxes").show()
> +-+--+--+
> |width|length|height|
> +-+--+--+
> |1| 2| 3|
> |2| 4| 6|
> |3| 6| 9|
> +-+--+--+
> scala> sql("CREATE TABLE blocks (name STRING, age INT) AS SELECT * FROM 
> boxes")
> scala> spark.table("students").show()
> ++---+
> |name|age|
> ++---+
> |   1|  2|
> |   2|  4|
> |   3|  6|
> ++---+
> {code}
> The columns don't even match in types.



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[jira] [Issue Comment Deleted] (SPARK-15722) Wrong data when CTAS specifies schema

2016-06-02 Thread Andrew Or (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-15722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Andrew Or updated SPARK-15722:
--
Comment: was deleted

(was: User 'andrewor14' has created a pull request for this issue:
https://github.com/apache/spark/pull/13457)

> Wrong data when CTAS specifies schema
> -
>
> Key: SPARK-15722
> URL: https://issues.apache.org/jira/browse/SPARK-15722
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.0.0
>Reporter: Andrew Or
>Assignee: Andrew Or
>
> {code}
> scala> sql("CREATE TABLE boxes (width INT, length INT, height INT) USING CSV")
> scala> (1 to 3).map { i => (i, i * 2, i * 3) }.toDF("height", "length", 
> "width").write.insertInto("boxes")
> scala> spark.table("boxes").show()
> +-+--+--+
> |width|length|height|
> +-+--+--+
> |1| 2| 3|
> |2| 4| 6|
> |3| 6| 9|
> +-+--+--+
> scala> sql("CREATE TABLE blocks (name STRING, age INT) AS SELECT * FROM 
> boxes")
> scala> spark.table("students").show()
> ++---+
> |name|age|
> ++---+
> |   1|  2|
> |   2|  4|
> |   3|  6|
> ++---+
> {code}
> The columns don't even match in types.



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