SparkSQL not support CharType

[163]

Hi,
     when I use Dataframe with table schema, It goes wrong:

val test_schema = StructType(Array(
  StructField("id", IntegerType, false),
  StructField("flag", CharType(1), false),
  StructField("time", DateType, false)));

val df = spark.read.format("com.databricks.spark.csv")
  .schema(test_schema)
  .option("header", "false")
  .option("inferSchema", "false")
  .option("delimiter", ",")
  .load("file:///Users/name/b")

The log is below:
Exception in thread "main" scala.MatchError: CharType(1) (of class 
org.apache.spark.sql.types.CharType)
        at 
org.apache.spark.sql.catalyst.encoders.RowEncoder$.org$apache$spark$sql$catalyst$encoders$RowEncoder$$serializerFor(RowEncoder.scala:73)
        at 
org.apache.spark.sql.catalyst.encoders.RowEncoder$$anonfun$2.apply(RowEncoder.scala:158)
        at 
org.apache.spark.sql.catalyst.encoders.RowEncoder$$anonfun$2.apply(RowEncoder.scala:157)

Why? Is this a bug?

        But I found spark will translate char type to string when using create 
table command:

                         create table test(flag char(1));
                        desc test:            flag string;

    


Regards
Wendy He