[jira] [Assigned] (SPARK-16562) Do not allow downcast in INT32 based types for non-vectorized Parquet reader

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16562:
------------------------------------

    Assignee: Apache Spark

> Do not allow downcast in INT32 based types for non-vectorized Parquet reader
> ----------------------------------------------------------------------------
>
>                 Key: SPARK-16562
>                 URL: https://issues.apache.org/jira/browse/SPARK-16562
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Hyukjin Kwon
>            Assignee: Apache Spark
>            Priority: Minor
>
> Currently, INT32 based types, ({{ShortType}}, {{ByteType}}, {{IntegerType}} can be downcasted in any combination. For example, the codes below:
> {code}
> val path = "/tmp/test.parquet"
> val data = (1 to 4).map(Tuple1(_.toInt))
> data.toDF("a").write.parquet(path)
> val schema = StructType(StructField("a", ShortType, true) :: Nil)
> spark.read.schema(schema).parquet(path).show()
> {code}
> work fine.
> This should not be allowed.



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