Hadoop 3.x(MapReduce)----【MapReduce 框架原理 三】
- 1. OutputFormat接口实现类
- 2. 自定义OutputFormat案例实操
- 1. 需求
- 2. 需求分析
- 3. 案例实操
- 4. 测试输出结果
1. OutputFormat接口实现类
OutputFormat 是 MapReduce 输出的基类,所有实现 MapReduce 输出都实现了 OutputFormat 接口。下面我们介绍几种常见的 OutputFormat 实现类。
1. OutputFormat 实现类
2. 默认输出格式 TextOutputFormat
3. 自定义 OutputFormat
- 应用场景:输出数据到 MySql / HBase / Elasticsearch 等存储框架中。
- 自定义 OutputFormat 步骤
- 自定义一个类继承 FileOutputFormat。
- 改写 RecordWriter,具体改写输出数据的方法 write()。
2. 自定义OutputFormat案例实操
1. 需求
过了输入的 log 日志,包含 atguigu
的网站输出到 e:/atguigu.log
,不包含 atguigu
的网站输出到 e:/other.log
。
- 输入数据
- 期望输出数据
2. 需求分析
3. 案例实操
- 编写 LogMapper 类
package com.fickler.mapreduce.outputformat;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import java.io.IOException;
/**
* @author dell
* @version 1.0
*/
public class LogMapper extends Mapper<LongWritable, Text, Text, NullWritable> {
@Override
protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, NullWritable>.Context context) throws IOException, InterruptedException {
context.write(value, NullWritable.get());
}
}
- 编写 LogReducer 类
package com.fickler.mapreduce.outputformat;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import java.io.IOException;
/**
* @author dell
* @version 1.0
*/
public class LogReducer extends Reducer<Text, NullWritable, Text, NullWritable> {
@Override
protected void reduce(Text key, Iterable<NullWritable> values, Reducer<Text, NullWritable, Text, NullWritable>.Context context) throws IOException, InterruptedException {
for (NullWritable value : values){
context.write(key, NullWritable.get());
}
}
}
- 自定义一个 LogOutputFormat 类
package com.fickler.mapreduce.outputformat;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
/**
* @author dell
* @version 1.0
*/
public class LogOutputFormat extends FileOutputFormat<Text, NullWritable> {
@Override
public RecordWriter<Text, NullWritable> getRecordWriter(TaskAttemptContext taskAttemptContext) throws IOException, InterruptedException {
LogRecordWrite lrw = new LogRecordWrite(taskAttemptContext);
return lrw;
}
}
- 编写 LogRecordWriter 类
package com.fickler.mapreduce.outputformat;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IOUtils;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import java.io.IOException;
/**
* @author dell
* @version 1.0
*/
public class LogRecordWrite extends RecordWriter<Text, NullWritable> {
private FSDataOutputStream atguiguOut;
private FSDataOutputStream otherOut;
public LogRecordWrite(TaskAttemptContext job){
try {
FileSystem fileSystem = FileSystem.get(job.getConfiguration());
atguiguOut = fileSystem.create(new Path("C:\\Users\\dell\\Desktop\\output\\atguigu.log"));
otherOut = fileSystem.create(new Path("C:\\Users\\dell\\Desktop\\output\\other.log"));
} catch (IOException e) {
throw new RuntimeException(e);
}
}
@Override
public void write(Text text, NullWritable nullWritable) throws IOException, InterruptedException {
String log = text.toString();
if (log.contains("atguigu")){
atguiguOut.writeBytes(log + "\n");
} else {
otherOut.writeBytes(log + "\n");
}
}
@Override
public void close(TaskAttemptContext taskAttemptContext) throws IOException, InterruptedException {
IOUtils.closeStream(atguiguOut);
IOUtils.closeStream(otherOut);
}
}
- 编写 LogDriver 类
package com.fickler.mapreduce.outputformat;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import java.io.IOException;
/**
* @author dell
* @version 1.0
*/
public class LogDriver {
public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
Configuration configuration = new Configuration();
Job job = Job.getInstance(configuration);
job.setJarByClass(LogDriver.class);
job.setMapperClass(LogMapper.class);
job.setReducerClass(LogReducer.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(NullWritable.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
job.setOutputFormatClass(LogOutputFormat.class);
FileInputFormat.setInputPaths(job, new Path("C:\\Users\\dell\\Desktop\\input"));
FileOutputFormat.setOutputPath(job, new Path("C:\\Users\\dell\\Desktop\\output"));
boolean b = job.waitForCompletion(true);
System.exit(b ? 0 : 1);
}
}
4. 测试输出结果