[
https://issues.apache.org/jira/browse/SPARK-15722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Rekha Joshi updated SPARK-15722:
--------------------------------
Description:
{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("boxes").show()
+----+---+
|name|age|
+----+---+
| 1| 2|
| 2| 4|
| 3| 6|
+----+---+
{code}
The columns don't even match in types.
was:
{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.
> 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
> Fix For: 2.0.0
>
>
> {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("boxes").show()
> +----+---+
> |name|age|
> +----+---+
> | 1| 2|
> | 2| 4|
> | 3| 6|
> +----+---+
> {code}
> The columns don't even match in types.
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