Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/1737#issuecomment-54916874
@joesu, thanks for clarifying the issues with reading data from the parquet
library. I like the idea of adding a new field to `BinaryType`, `fixedLength:
Option[Int]`, that could be used to distinguish these two storage
representation. We can have this field default to `None` so we don't break any
existing code. In particular, since both types are going to be represented as
`Array[Byte]` elsewhere in the Spark SQL execution engine, this means we don't
have to add any extra handling code. This is purely an optimization when
writing out data.
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