Spark：我可以在Spark SQL中将Scala设置转换为DataType吗？

Question

For example, Scala array corresponds to ArrayType in Spark SQL, which can be used in schema definitions. For Map there's MapType.

How about Set ?

Answer 1

A set (no pun intended) of supported types is limited a not extensible. You'll find a full list of supported types in the Spark SQL, DataFrames and Datasets Guide - as you can check there is no type for Set .

The best you can do is to use ArrayType which maps to scala.collection.Seq and handle set specific operations yourself.

It is possible to use binary Encoders ( How to store custom objects in Dataset? ) but these are intended for strongly typed datasets, and have limited applications when used with DataFrames .

Answer 2

There is none. Exhaustive list is here: http://spark.apache.org/docs/latest/sql-programming-guide.html#data-types

Find full example code at " examples/src/main/scala/org/apache/spark/examples/sql/SparkSQLExample.scala " in the Spark repo.