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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org