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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.serializer
import java.io.{ByteArrayOutputStream, EOFException, InputStream, OutputStream}
import java.nio.ByteBuffer
import scala.reflect.ClassTag
import org.apache.spark.SparkEnv
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.{ByteBufferInputStream, NextIterator}
/**
* :: DeveloperApi ::
* A serializer. Because some serialization libraries are not thread safe, this class is used to
* create [[org.apache.spark.serializer.SerializerInstance]] objects that do the actual
* serialization and are guaranteed to only be called from one thread at a time.
*
* Implementations of this trait should implement:
*
* 1. a zero-arg constructor or a constructor that accepts a [[org.apache.spark.SparkConf]]
* as parameter. If both constructors are defined, the latter takes precedence.
*
* 2. Java serialization interface.
*
* Note that serializers are not required to be wire-compatible across different versions of Spark.
* They are intended to be used to serialize/de-serialize data within a single Spark application.
*/
@DeveloperApi
trait Serializer {
def newInstance(): SerializerInstance
}
object Serializer {
def getSerializer(serializer: Serializer): Serializer = {
if (serializer == null) SparkEnv.get.serializer else serializer
}
def getSerializer(serializer: Option[Serializer]): Serializer = {
serializer.getOrElse(SparkEnv.get.serializer)
}
}
/**
* :: DeveloperApi ::
* An instance of a serializer, for use by one thread at a time.
*/
@DeveloperApi
trait SerializerInstance {
def serialize[T: ClassTag](t: T): ByteBuffer
def deserialize[T: ClassTag](bytes: ByteBuffer): T
def deserialize[T: ClassTag](bytes: ByteBuffer, loader: ClassLoader): T
def serializeStream(s: OutputStream): SerializationStream
def deserializeStream(s: InputStream): DeserializationStream
def serializeMany[T: ClassTag](iterator: Iterator[T]): ByteBuffer = {
// Default implementation uses serializeStream
val stream = new ByteArrayOutputStream()
serializeStream(stream).writeAll(iterator)
val buffer = ByteBuffer.wrap(stream.toByteArray)
buffer.flip()
buffer
}
def deserializeMany(buffer: ByteBuffer): Iterator[Any] = {
// Default implementation uses deserializeStream
buffer.rewind()
deserializeStream(new ByteBufferInputStream(buffer)).asIterator
}
}
/**
* :: DeveloperApi ::
* A stream for writing serialized objects.
*/
@DeveloperApi
trait SerializationStream {
def writeObject[T: ClassTag](t: T): SerializationStream
def flush(): Unit
def close(): Unit
def writeAll[T: ClassTag](iter: Iterator[T]): SerializationStream = {
while (iter.hasNext) {
writeObject(iter.next())
}
this
}
}
/**
* :: DeveloperApi ::
* A stream for reading serialized objects.
*/
@DeveloperApi
trait DeserializationStream {
def readObject[T: ClassTag](): T
def close(): Unit
/**
* Read the elements of this stream through an iterator. This can only be called once, as
* reading each element will consume data from the input source.
*/
def asIterator: Iterator[Any] = new NextIterator[Any] {
override protected def getNext() = {
try {
readObject[Any]()
} catch {
case eof: EOFException =>
finished = true
}
}
override protected def close() {
DeserializationStream.this.close()
}
}
}
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