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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