Thank you, Michael. In Spark SQL DataType, we have a lot of types, for example, ByteType, ShortType, StringType, etc.
These types are used to form the table schema. As for me, StringType is enough, why do we need others ? Hao -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/SparkSQL-StringType-for-numeric-comparison-tp16295p16361.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
