_SUCCESS file validation on read

[drewrobb <dr...@gmail.com>]

When writing a dataframe, a _SUCCESS file is created to mark that the entire
dataframe is written. However, the existence of this _SUCCESS does not seem
to be validated by default on reads. This would allow in some cases for
partially written dataframes to be read back. Is this behavior configurable?
Is lack of validation intentional?

Thanks!

Here is an example from spark 2.1.0 shell. I would expect the read step to
fail because I've manually removed the _SUCCESS file:

scala> spark.range(10).write.save("/tmp/test")

$ rm /tmp/test/_SUCCESS

scala> spark.read.parquet("/tmp/test").show()
+---+
| id|
+---+
|  8|
|  9|
|  3|
|  4|
|  5|
|  0|
|  6|
|  7|
|  2|
|  1|
+---+



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