Date Codecs

By default, Scala-Cass uses the date/time formats provided as default for the Java driver. They are:

Cassandra Type	Scala Type
timestamp	java.util.Date
date	com.datastax.driver.core.LocalDate
time	Time

where time is actually a Long wrapped in the Time case class to prevent collision with bigint.

You have the option of using the Joda library or Jdk8 date library as a replacement for these defaults. While the examples below showcase how to read data of joda/jdk8 types, the same process is required for writing these types to Cassandra.

Joda Implicits

You will need to provide an implicit instance of your Cluster for DateTime because it uses TupleType, which is derived from the Cluster
first, register the override codecs with the cluster, provided as a register function com.weather.scalacass.joda.register
then, import the implicits required to use the joda types, provided in com.weather.scalacass.joda.Implicits._

scala> cluster // your cluster, which must be implicit for DateTime
res4: com.datastax.driver.core.Cluster = com.datastax.driver.core.Cluster@115a9807

scala> com.weather.scalacass.joda.register(cluster)

scala> import com.weather.scalacass.joda.Implicits._
import com.weather.scalacass.joda.Implicits._

scala> r // some row from your cluster
res6: com.datastax.driver.core.Row = Row[a primary key, 2018-07-23, 2018-07-23T04:10:49.209Z, 15049207000000, Mon Jul 23 04:10:49 GMT 2018]

scala> r.as[org.joda.time.Instant]("mytimestamp") // cassandra "timestamp"
res7: org.joda.time.Instant = 2018-07-23T04:10:49.191Z

scala> r.as[org.joda.time.LocalDate]("mydate") // cassandra "date"
res8: org.joda.time.LocalDate = 2018-07-23

scala> r.as[org.joda.time.LocalTime]("mytime") // cassandra "time"
res9: org.joda.time.LocalTime = 04:10:49.207

scala> r.as[org.joda.time.DateTime]("mydt") // cassandra "tuple<timestamp,varchar>"
res10: org.joda.time.DateTime = 2018-07-23T04:10:49.209Z

See here for information about the format of DateTime

Jdk8 Date Implicits

You will need to provide an implicit instance of your Cluster for ZonedDateTime because it uses TupleType, which is derived from the Cluster
first, register the override codecs with the cluster, provided as a register function com.weather.scalacass.jdk8.register
then, import the implicits required to use the joda types, provided in com.weather.scalacass.jdk8.Implicits._

scala> // under the hood ZonedDateTime uses a tuple, meaning the cluster must be implicit
     | cluster // your cluster, which must be implicit for DateTime
res12: com.datastax.driver.core.Cluster = com.datastax.driver.core.Cluster@115a9807

scala> com.weather.scalacass.jdk8.register(cluster)

scala> import com.weather.scalacass.jdk8.Implicits._
import com.weather.scalacass.jdk8.Implicits._

scala> r // some row from your cluster
res14: com.datastax.driver.core.Row = Row[a primary key, 2018-07-23, 2018-07-23T04:10:49.209Z, 15049207000000, Mon Jul 23 04:10:49 GMT 2018]

scala> r.as[java.time.Instant]("mytimestamp") // cassandra "timestamp"
res15: java.time.Instant = 2018-07-23T04:10:49.191Z

scala> r.as[java.time.LocalDate]("mydate") // cassandra "date"
res16: java.time.LocalDate = 2018-07-23

scala> r.as[java.time.LocalTime]("mytime") // cassandra "time"
res17: java.time.LocalTime = 04:10:49.207

scala> r.as[java.time.ZonedDateTime]("mydt") // cassandra "tuple<timestamp,varchar>"
res18: java.time.ZonedDateTime = 2018-07-23T04:10:49.209Z[Etc/GMT]

See here for information about the format of ZonedDateTime