Spark 1.5.2 - Read custom schema from file

[Divya Gehlot <di...@gmail.com>]

Hi,
I have defined a custom schema as shown below :

val customSchema = StructType(
>     StructField("year", IntegerType, true),
>     StructField("make", StringType, true),
>     StructField("model", StringType, true),
>     StructField("comment", StringType, true),

    StructField("blank", StringType, true))


Is there any way instead of defining it spark job file I can read from file.
I am using Spark-csv to read my data file

 val df = sqlContext.read
    .format("com.databricks.spark.csv")
    .option("header", "true") // Use first line of all files as header
    .schema(customSchema)
    .load("cars.csv")val selectedData = df.select("year", "model")
selectedData.write
    .format("com.databricks.spark.csv")
    .option("header", "true")
    .save("newcars.csv")