com.databricks.spark.redshift.SerializableConfiguration.scala Maven / Gradle / Ivy
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/*
* Copyright 2016 Databricks
*
* Licensed 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 com.databricks.spark.redshift
import java.io._
import com.esotericsoftware.kryo.io.{Input, Output}
import com.esotericsoftware.kryo.{Kryo, KryoSerializable}
import org.apache.hadoop.conf.Configuration
import org.slf4j.LoggerFactory
import scala.util.control.NonFatal
class SerializableConfiguration(@transient var value: Configuration)
extends Serializable with KryoSerializable {
@transient private[redshift] lazy val log = LoggerFactory.getLogger(getClass)
private def writeObject(out: ObjectOutputStream): Unit = tryOrIOException {
out.defaultWriteObject()
value.write(out)
}
private def readObject(in: ObjectInputStream): Unit = tryOrIOException {
value = new Configuration(false)
value.readFields(in)
}
private def tryOrIOException[T](block: => T): T = {
try {
block
} catch {
case e: IOException =>
log.error("Exception encountered", e)
throw e
case NonFatal(e) =>
log.error("Exception encountered", e)
throw new IOException(e)
}
}
def write(kryo: Kryo, out: Output): Unit = {
val dos = new DataOutputStream(out)
value.write(dos)
dos.flush()
}
def read(kryo: Kryo, in: Input): Unit = {
value = new Configuration(false)
value.readFields(new DataInputStream(in))
}
}