Github user brkyvz commented on the issue:
https://github.com/apache/spark/pull/16030
@maropu The reason I call it a bug with the VectorizedParquetReader is that
all other data sources always replace the value read from the data with the
partition value. The VectorizedReader also doesn't throw an exception if you
try the following example:
```scala
case class A(a: Long, b: Int)
val as = Seq(A(1, 2))
val path = "/tmp/part"
sqlContext.createDataFrame(as).write.mode("overwrite").parquet(s"$path/a=1480617712537/")
val df = sqlContext.read.parquet(path)
df.printSchema()
df.collect()
```
returns
```
root
|-- a: long (nullable = true)
|-- b: integer (nullable = true)
df: org.apache.spark.sql.DataFrame = [a: bigint, b: int]
res7: Array[org.apache.spark.sql.Row] = Array([1480617712537,2])
```
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