trait Encoder[T] extends Serializable
Used to convert a JVM object of type T
to and from the internal Spark SQL representation.
Scala
Encoders are generally created automatically through implicits from a SparkSession
, or can be
explicitly created by calling static methods on Encoders.
import spark.implicits._ val ds = Seq(1, 2, 3).toDS() // implicitly provided (spark.implicits.newIntEncoder)
Java
Encoders are specified by calling static methods on Encoders.
List<String> data = Arrays.asList("abc", "abc", "xyz"); Dataset<String> ds = context.createDataset(data, Encoders.STRING());
Encoders can be composed into tuples:
Encoder<Tuple2<Integer, String>> encoder2 = Encoders.tuple(Encoders.INT(), Encoders.STRING()); List<Tuple2<Integer, String>> data2 = Arrays.asList(new scala.Tuple2(1, "a"); Dataset<Tuple2<Integer, String>> ds2 = context.createDataset(data2, encoder2);
Or constructed from Java Beans:
Encoders.bean(MyClass.class);
Implementation
- Encoders should be thread-safe.
- Annotations
- @implicitNotFound( ... )
- Since
1.6.0
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abstract
def
clsTag: ClassTag[T]
A ClassTag that can be used to construct an Array to contain a collection of
T
. -
abstract
def
schema: StructType
Returns the schema of encoding this type of object as a Row.
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