Spark supported types

This table maps CQL types to Scala types. All CQL types are supported by the DataStax Enterprise Spark integration. Other type conversions might work, but cause loss of precision or not work for all values. Most types are convertible to strings. You can convert strings that conform to the CQL standard to numbers, dates, addresses or uuids. You can convert maps to or from sequences of key-value tuples.

Table 1. Supported types

CQL Type	Scala Type
ascii	String
bigint	Long
blob	ByteBuffer, Array
boolean	Boolean
counter	Long
decimal	BigDecimal, java.math.BigDecimal
double	Double
float	Float
inet	java.net.InetAddress
int	Int
list	Vector, List, Iterable, Seq, IndexedSeq, java.util.List
map	Map, TreeMap, java.util.HashMap
set	Set, TreeSet, java.util.HashSet
text, varchar	String
timestamp	Long, java.util.Date, java.sql.Date, org.joda.time.DateTime
timeuuid	java.util.UUID
uuid	java.util.UUID
varint	BigInt, java.math.BigInteger
nullable values	Option