[jira] [Created] (SPARK-24733) Dataframe saved to parquet can have different metadata then the resulting parquet file

["David Herskovics (JIRA)" <ji...@apache.org>]

David Herskovics created SPARK-24733:
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             Summary: Dataframe saved to parquet can have different metadata then the resulting parquet file
                 Key: SPARK-24733
                 URL: https://issues.apache.org/jira/browse/SPARK-24733
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.0
            Reporter: David Herskovics


See the repro using spark-shell below:
Let's say that we have a dataframe called *df_with_metadata* which has column *name* with metadata.
 
{code:scala}
scala> df_with_metadata.schema.json // Check that we have the metadata here.
scala> df_with_metadata.createOrReplaceTempView("input")
scala> val df2 = spark.sql("select case when true then name else null end as name from input")
scala> df2.schema.json // We don't have the metadata anymore.
scala> df2.write.parquet("no_metadata_expected")
scala> val df3 = spark.read.parquet("no_metadata_expected")
scala> df3.schema.json // And the metadata is there again so the no_metadata_expected does have metadata.
{code}



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