我正在学习Spark的闭包及其序列化,我写了一个演示,如下所示。但得到了一个提示" Wrong Top声明声明"何时导入scala.reflect.ClassTag。
package lulijun.scala.study.serialize
import java.io._
import java.nio.ByteBuffer
import org.apache.spark.serializer.{DeserializationStream, SerializationStream}
import org.apache.spark.util.{ByteBufferInputStream, ByteBufferOutputStream}
import scala.reflect.ClassTag
/**
* Created by lulijun on 2017/10/23.
*/
public class JavaSerializerTest {
def serialize[T: ClassTag](t: T): ByteBuffer = {
val bos = new ByteBufferOutputStream()
val out = serializeStream(bos)
out.writeObject(t)
out.close()
bos.toByteBuffer
}
def deserialize[T: ClassTag](bytes: ByteBuffer, loader: ClassLoader): T = {
val bis = new ByteBufferInputStream(bytes)
val in = deserializeStream(bis, loader)
in.readObject()
}
def serializeStream(s: OutputStream): SerializationStream = {
new JavaSerializationStream(s, 1, true)
}
def deserializeStream(s: InputStream, loader: ClassLoader): DeserializationStream = {
new JavaDeserializationStream(s, loader)
}
}
答案 0 :(得分:2)
这与ClassTags
无关。 Scala没有public
修饰符。如果要公开课程,则根本不要添加修饰符:
class JavaSerializerTest {
...
}
您还有许多其他问题,例如尝试访问私有Spark成员(ByteBufferOutputStream
)。