1 weekend110的复习 + hadoop中的序列化机制 + 流量求和mr程序开发

以上是，weekend110的yarn的job提交流程源码分析的复习总结

下面呢，来讲weekend110的hadoop中的序列化机制

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手机号码时间戳 Ip 网站上行流量下行流量总的流量

LongWritable的源码

/**

* 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.hadoop.io;

import java.io.DataInput;

import java.io.DataOutput;

import java.io.IOException;

import org.apache.hadoop.classification.InterfaceAudience;

import org.apache.hadoop.classification.InterfaceStability;

/** A WritableComparable for longs. */

@InterfaceAudience.Public

@InterfaceStability.Stable

public class LongWritable implements WritableComparable<LongWritable> {

private long value;

public LongWritable() {}

public LongWritable(long value) { set(value); }

/** Set the value of this LongWritable. */

public void set(long value) { this.value = value; }

/** Return the value of this LongWritable. */

public long get() { return value; }

@Override

public void readFields(DataInput in) throws IOException {

value = in.readLong();

}

@Override

public void write(DataOutput out) throws IOException {

out.writeLong(value);

}

/** Returns true iff <code>o</code> is a LongWritable with the same value. */

@Override

public boolean equals(Object o) {

if (!(o instanceof LongWritable))

return false;

LongWritable other = (LongWritable)o;

return this.value == other.value;

}

@Override

public int hashCode() {

return (int)value;

}

/** Compares two LongWritables. */

@Override

public int compareTo(LongWritable o) {

long thisValue = this.value;

long thatValue = o.value;

return (thisValue<thatValue ? -1 : (thisValue==thatValue ? 0 : 1));

}

@Override

public String toString() {

return Long.toString(value);

}

/** A Comparator optimized for LongWritable. */

public static class Comparator extends WritableComparator {

public Comparator() {

super(LongWritable.class);

}

@Override

public int compare(byte[] b1, int s1, int l1,

byte[] b2, int s2, int l2) {

long thisValue = readLong(b1, s1);

long thatValue = readLong(b2, s2);

return (thisValue<thatValue ? -1 : (thisValue==thatValue ? 0 : 1));

}

/** A decreasing Comparator optimized for LongWritable. */

public static class DecreasingComparator extends Comparator {

@Override

public int compare(WritableComparable a, WritableComparable b) {

return -super.compare(a, b);

}

@Override

public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {

return -super.compare(b1, s1, l1, b2, s2, l2);

}

static { // register default comparator

WritableComparator.define(LongWritable.class, new Comparator());

}

WritableComparable的源码

/**

* 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.hadoop.io;

import org.apache.hadoop.classification.InterfaceAudience;

import org.apache.hadoop.classification.InterfaceStability;

/**

* A {@link Writable} which is also {@link Comparable}.

* <code>WritableComparable</code>s can be compared to each other, typically

* via <code>Comparator</code>s. Any type which is to be used as a

* <code>key</code> in the Hadoop Map-Reduce framework should implement this

* interface.

* Note that <code>hashCode()</code> is frequently used in Hadoop to partition

* keys. It's important that your implementation of hashCode() returns the same

* result across different instances of the JVM. Note also that the default

* <code>hashCode()</code> implementation in <code>Object</code> does not

* satisfy this property.

* Example:

* <blockquote><pre>

* public class MyWritableComparable implements WritableComparable<MyWritableComparable> {

* // 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 int compareTo(MyWritableComparable o) {

* int thisValue = this.value;

* int thatValue = o.value;

* return (thisValue < thatValue ? -1 : (thisValue==thatValue ? 0 : 1));

* }

* public int hashCode() {

* final int prime = 31;

* int result = 1;

* result = prime * result + counter;

* result = prime * result + (int) (timestamp ^ (timestamp >>> 32));

* return result

* }

* </pre></blockquote>

@InterfaceAudience.Public

@InterfaceStability.Stable

public interface WritableComparable<T> extends Writable, Comparable<T> {

}

这样可以减少网络带宽，所以，为什么hadoop用到自己的序列化机制。

以上是weekend110的hadoop中的序列化机制

//将对象数据序列化到数据流中

@Override

public void write(DataOutput out) throws IOException {

// TODO Auto-generated method stub

}

序列化里，是要把数据写出去

//从数据流中反序列出对象数据

@Override

public void readFields(DataInput in) throws IOException {

// TODO Auto-generated method stub

}

反序列化，是要读入数据。

至此，FlowBean.java代码已经写完。

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