Github user liancheng commented on the pull request: https://github.com/apache/spark/pull/5188#issuecomment-86531248 Hey @budde, sorry that I just merged #5141 to fix a regression, and introduced conflicts to this PR. As @marmbrus suggested, would you mind to open a PR against master? Verified that by disabling the new Parquet data source and metastore Parquet table conversion, both 1.2.0 and 1.3.0 works in this scenario. After double thinking about the semantics of the metastore / parquet schema reconcilation process, I think the rules should be: 1. There shouldn't be any fields share the same name in both schemas but have different data type 2. The reconciled schema should contain exactly those fields in the metastore schema 3. When reading a Parquet file with extra fields not existed in the metastore schema, ignore them 4. When reading a Parquet file with less fields than the metastore schema, add them as nullable fields (just as what this PR does)
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