Efficient way to read specific columns from parquet file in spark

Question

I was wondering is spark.read.parquet(../parquet file path).select(...) the best way to read subsets of columns in spark from a parquet file? Are there any other options?

Answer 1

As parquet is a column based storage file, so 

val df = spark.read.parquet("fs://path/file.parquet"),load(<parquet>).select(...)

is the best option