What is the Scala type mapping for all Spark SQL DataType

Directly from the Spark SQL and DataFrame Guide:

Data type       |    Value type in Scala------------------------------------------------ByteType        |    Byte   ShortType       |    Short  IntegerType     |    Int    LongType        |    Long   FloatType       |    Float  DoubleType      |    Double     DecimalType     |    java.math.BigDecimalStringType      |    StringBinaryType      |    Array[Byte]BooleanType     |    Boolean TimestampType   |    java.sql.TimestampDateType        |    java.sql.DateArrayType       |    scala.collection.Seq   MapType         |    scala.collection.Map   StructType      |    org.apache.spark.sql.Row

For those trying to find the Java types, they're now also hosted at the link from zero323's answer. To document the current revision here:

Data type     |    Value type in Java              |    API to access or create a data type-------------------------------------------------------------------------------------------ByteType      |    byte or Byte                    |    DataTypes.ByteTypeShortType     |    short or Short                  |    DataTypes.ShortTypeIntegerType   |    int or Integer                  |    DataTypes.IntegerTypeLongType      |    long or Long                    |    DataTypes.LongTypeFloatType     |    float or Float                  |    DataTypes.FloatTypeDoubleType    |    double or Double                |    DataTypes.DoubleTypeDecimalType   |    java.math.BigDecimal            |    DataTypes.createDecimalType() or DataTypes.createDecimalType(precision, scale).StringType    |    String                          |    DataTypes.StringTypeBinaryType    |    byte[]                          |    DataTypes.BinaryTypeBooleanType   |    boolean or Boolean              |    DataTypes.BooleanTypeTimestampType |    java.sql.Timestamp              |    DataTypes.TimestampTypeDateType      |    java.sql.Date                   |    DataTypes.DateTypeArrayType     |    java.util.List                  |    DataTypes.createArrayType(elementType) or DataTypes.createArrayType(elementType, containsNull).MapType       |    java.util.Map                   |    DataTypes.createMapType(keyType, valueType) or DataTypes.createMapType(keyType, valueType, valueContainsNull)StructType    |    org.apache.spark.sql.Row        |    DataTypes.createStructType(fields)StructField   |    The value type in Java of the   |    DataTypes.createStructField(name, dataType, nullable)              |    data type of this field (For    |              |    example, int for a StructField  |              |    with the data type IntegerType) |

One thing of note when working with StructTypes in particular - it appears that, if you wish to declare an empty StructType in another as a placeholder value, you must use a new StructType() rather than the suggested DataTypes.createStructType((StructField)null) to prevent null pointers. Remember to instantiate the nested StructType with StructFields prior to usage.