com.jn.langx.util.io.Writable Maven / Gradle / Ivy
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package com.jn.langx.util.io;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
/**
* A serializable object which implements a simple, efficient, serialization
* protocol, based on {@link DataInput} and {@link DataOutput}.
*
*
Any key
or value
type in the Hadoop Map-Reduce
* framework implements this interface.
*
*
Implementations typically implement a static read(DataInput)
* method which constructs a new instance, calls {@link #readFields(DataInput)}
* and returns the instance.
*
*
Example:
*
* public class MyWritable implements Writable {
* // Some data
* private int counter;
* private long timestamp;
*
* public void write(DataOutput out) throws IOException {
* out.writeInt(counter);
* out.writeLong(timestamp);
* }
*
* public void readFields(DataInput in) throws IOException {
* counter = in.readInt();
* timestamp = in.readLong();
* }
*
* public static MyWritable read(DataInput in) throws IOException {
* MyWritable w = new MyWritable();
* w.readFields(in);
* return w;
* }
* }
*
*/
public interface Writable {
/**
* Serialize the fields of this object to out
.
*
* @param out DataOuput
to serialize this object into.
* @throws IOException
*/
void write(DataOutput out) throws IOException;
/**
* Deserialize the fields of this object from in
.
*
*
For efficiency, implementations should attempt to re-use storage in the
* existing object where possible.
*
* @param in DataInput
to deseriablize this object from.
* @throws IOException
*/
void readFields(DataInput in) throws IOException;
}