/*
 * 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 spark

import java.io._

import org.apache.hadoop.io.ObjectWritable
import org.apache.hadoop.io.Writable
import org.apache.hadoop.mapred.JobConf

class SerializableWritable[T <: Writable](@transient var t: T) extends Serializable {
  def value = t
  override def toString = t.toString

  private def writeObject(out: ObjectOutputStream) {
    out.defaultWriteObject()
    new ObjectWritable(t).write(out)
  }

  private def readObject(in: ObjectInputStream) {
    in.defaultReadObject()
    val ow = new ObjectWritable()
    ow.setConf(new JobConf())
    ow.readFields(in)
    t = ow.get().asInstanceOf[T]
  }
}

/*
 * 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 spark

import java.io._

import org.apache.hadoop.io.ObjectWritable
import org.apache.hadoop.io.Writable
import org.apache.hadoop.conf.Configuration

class SerializableWritable[T <: Writable](@transient var t: T) extends Serializable {
  def value = t
  override def toString = t.toString

  private def writeObject(out: ObjectOutputStream) {
    out.defaultWriteObject()
    new ObjectWritable(t).write(out)
  }

  private def readObject(in: ObjectInputStream) {
    in.defaultReadObject()
    val ow = new ObjectWritable()
    ow.setConf(new Configuration())
    ow.readFields(in)
    t = ow.get().asInstanceOf[T]
  }
}

Use new Configuration() instead of new JobConf() for ObjectWritable.
Use new Configuration() instead of new JobConf() for ObjectWritable.

JobConf's constructor loads default config files in some verisons of
Hadoop, which is quite slow, and we only need the Configuration object
to pass the correct ClassLoader.
