Hadoop-MapReduce-OutputFormat数据输出

刺骨的言语ヽ痛彻心扉 2022-10-13 15:53 216阅读 0赞

### OutPutFormat数据输出 ###

实现接口如下：

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NsZWFybHhq_size_16_color_FFFFFF_t_70]

自定义OutputFormat使用场景以及步骤

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NsZWFybHhq_size_16_color_FFFFFF_t_70 1]

实操：

目的：过滤文件，将包含caocao的行输入到caocao.txt中，其他的数据输出到other.txt中

输入数据：

caocao shi wei wu di
    liubei shi shu zhao lie di
    liubei shi shu guo de
    caocao shi wei guo de 
    caozhi shi caocao de er zi

Mapper如下

public class DefinedOutputFormatMapper extends Mapper<LongWritable, Text, Text, NullWritable> { 
    
        Text k = new Text();
        String line = "\r\n";
    
        @Override
        protected void map (LongWritable key, Text value, Context context) throws IOException, InterruptedException { 
    
            String keyStr = value.toString();
    		// 这里不加\r\n的话，不会自动换行
            k.set(keyStr + line);
    
            context.write(k, NullWritable.get());
        }
    }

Reducer如下：

public class DefinedOutputFormatReducer extends Reducer<Text, NullWritable, Text, NullWritable> { 
    
        @Override
        protected void reduce (Text key, Iterable<NullWritable> values, Context context) throws IOException, InterruptedException { 
    
            // 防止有重复的数据
            for (NullWritable value : values) { 
                context.write(key, NullWritable.get());
            }
        }
    }

自定义OutputFormat实现类如下

public class DefinedOutputFormat extends FileOutputFormat<Text, NullWritable> { 
    
        @Override
        public RecordWriter<Text, NullWritable> getRecordWriter (TaskAttemptContext context) throws IOException, InterruptedException { 
    
            return new DefinedOutputRecordWriter(context);
        }
    }

自定义RecordWriter如下

public class DefinedOutputRecordWriter extends RecordWriter<Text, NullWritable> { 
    
        FSDataOutputStream fosCaocao;
        FSDataOutputStream fosOther;
    
        public DefinedOutputRecordWriter (TaskAttemptContext context) { 
    
            try { 
                // 1、获取文件系统
                FileSystem fileSystem = FileSystem.get(context.getConfiguration());
    
                // 2、创建输出到caocao.txt的输出流
                fosCaocao = fileSystem.create(new Path("/home/lxj/hadoop-data/output/definedOutput/caocao.txt"));
    
                // 3、创建输出到other.txt的输出流
                fosOther = fileSystem.create(new Path("/home/lxj/hadoop-data/output/definedOutput/other.txt"));
    
            } catch (IOException e) { 
                e.printStackTrace();
            }
        }
    
        @Override
        public void write (Text text, NullWritable nullWritable) throws IOException, InterruptedException { 
    
            // 判断key中是否有caocao，有则写入caocao.txt，否则写入other.txt
            if (text.toString().contains("caocao")) { 
                fosCaocao.write(text.toString().getBytes());
            } else { 
                fosOther.write(text.toString().getBytes());
            }
        }
    
        @Override
        public void close (TaskAttemptContext taskAttemptContext) throws IOException, InterruptedException { 
    
            IOUtils.closeStream(fosCaocao);
            IOUtils.closeStream(fosOther);
        }

Driver加入

// 设置OutputFormat
    job.setOutputFormatClass(DefinedOutputFormat.class);

运行结果如下：

![在这里插入图片描述][20210707180245351.png]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NsZWFybHhq_size_16_color_FFFFFF_t_70]: /images/20221005/ef4d653ec2b2448bbdfd074ad1af6364.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2NsZWFybHhq_size_16_color_FFFFFF_t_70 1]: /images/20221005/226924e86b994a318820a0c6ab2eb9fd.png
[20210707180245351.png]: /images/20221005/7a3aa734f06049a99c6f22d5d5148111.png