全方位揭秘！大数据从0到1的完美落地之MapReduce实战案例(1)

矫情吗；* 2023-09-27 19:47 67阅读 0赞

![5ce410165360440896ff6cd0e93d29c1.jpeg][]

#### [案例一: MR实战之小文件合并(自定义inputFormat)][MR_inputFormat] ####

[项目准备][Link 1]

1.  需求

无论hdfs还是MapReduce，对于小文件都有损效率，实践中，又难免面临处理大量小文件的场景，此时，就需要有相应解决方案

1.  测试数据
2.  分析

小文件的优化无非以下几种方式：

*  a) 在数据采集的时候，就将小文件或小批数据合成大文件再上传HDFS
 *  b) 在业务处理之前，在HDFS上使用MapReduce程序对小文件进行合并
 *  c) 在MapReduce处理时，可采用combineInputFormat提高效率

[项目实现][Link 2]

注意:本节实现的是上述第二种方式

1.  程序的核心机制：

自定义一个InputFormat

改写RecordReader，实现一次读取一个完整文件封装为KV

在输出时使用SequenceFileOutPutFormat输出合并文件

1.  代码如下

a) 自定义InputFromat

/**
     * @Author 千锋大数据教学团队
     * @Company 千锋好程序员大数据
     * @Description 
     */
    public class WholeFileInputFormat extends
        FileInputFormat<NullWritable, BytesWritable> {
        //设置每个小文件不可分片,保证一个小文件生成一个key-value键值对
        @Override
        protected boolean isSplitable(JobContext context, Path file) {
            return false;
        }
    
        @Override
        public RecordReader<NullWritable, BytesWritable> createRecordReader(
            InputSplit split, TaskAttemptContext context) throws IOException,
        InterruptedException {
            WholeFileRecordReader reader = new WholeFileRecordReader();
            reader.initialize(split, context);
            return reader;
        }
    }
    复制代码

b) 自定义RecordReader

/**
     * @Author 千锋大数据教学团队
     * @Company 千锋好程序员大数据
     * @Description 自定义RecordReader
     */
    public class WholeFileRecordReader extends RecordReader<NullWritable, BytesWritable> {
        private FileSplit fileSplit;
        private Configuration conf;
        private BytesWritable value = new BytesWritable();
        private boolean processed = false;
    
        @Override
        public void initialize(InputSplit split, TaskAttemptContext context)
            throws IOException, InterruptedException {
            this.fileSplit = (FileSplit) split;
            this.conf = context.getConfiguration();
        }
    
        @Override
        public boolean nextKeyValue() throws IOException, InterruptedException {
            if (!processed) {
                byte[] contents = new byte[(int) fileSplit.getLength()];
                Path file = fileSplit.getPath();
                FileSystem fs = file.getFileSystem(conf);
                FSDataInputStream in = null;
                try {
                    in = fs.open(file);
                    IOUtils.readFully(in, contents, 0, contents.length);
                    value.set(contents, 0, contents.length);
                } finally {
                    IOUtils.closeStream(in);
                }
                processed = true;
                return true;
            }
            return false;
        }
    
        @Override
        public NullWritable getCurrentKey() throws IOException,InterruptedException {
            return NullWritable.get();
        }
    
        @Override
        public BytesWritable getCurrentValue() throws IOException,InterruptedException {
            return value;
        }
    
        @Override
        public float getProgress() throws IOException {
            return processed ? 1.0f : 0.0f;
        }
    
        @Override
        public void close() throws IOException {
            // do nothing
        }
    }
    复制代码

c) 定义MapReduce处理流程

/**
     * @Author 千锋大数据教学团队
     * @Company 千锋好程序员大数据
     * @Description 定义MapReduce处理流程
     */
    public class SmallFilesToSequenceFileConverter extends Configured implements
        Tool {
        static class SequenceFileMapper extends
            Mapper<NullWritable, BytesWritable, Text, BytesWritable> {
            private Text filenameKey;
    
            @Override
            protected void setup(Context context) throws IOException,InterruptedException {
                InputSplit split = context.getInputSplit();
                Path path = ((FileSplit) split).getPath();
                filenameKey = new Text(path.toString());
            }
    
            @Override
            protected void map(NullWritable key, BytesWritable value,Context context) throws IOException, InterruptedException 		  {
                context.write(filenameKey, value);
            }
        }
    
        @Override
        public int run(String[] args) throws Exception {
            Configuration conf = new Configuration();
            System.setProperty("HADOOP_USER_NAME", "root");
            String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
            if (otherArgs.length != 2) {
                System.err.println("Usage: combinefiles <in> <out>");
                System.exit(2);
            }
    
            Job job = Job.getInstance(conf,"combine small files to sequencefile");
            //		job.setInputFormatClass(WholeFileInputFormat.class);
            job.setOutputFormatClass(SequenceFileOutputFormat.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(BytesWritable.class);
            job.setMapperClass(SequenceFileMapper.class);
            return job.waitForCompletion(true) ? 0 : 1;
        }
    
        public static void main(String[] args) throws Exception {
            int exitCode = ToolRunner.run(new SmallFilesToSequenceFileConverter(),args);
            System.exit(exitCode);
        }
    }

[5ce410165360440896ff6cd0e93d29c1.jpeg]: https://img-blog.csdnimg.cn/5ce410165360440896ff6cd0e93d29c1.jpeg
[MR_inputFormat]: http://tuwen.1000phone.net/details?id=NTg2NQ==#%E6%A1%88%E4%BE%8B%E4%B8%80:%20%20MR%E5%AE%9E%E6%88%98%E4%B9%8B%E5%B0%8F%E6%96%87%E4%BB%B6%E5%90%88%E5%B9%B6%28%E8%87%AA%E5%AE%9A%E4%B9%89inputFormat%29
[Link 1]: http://tuwen.1000phone.net/details?id=NTg2NQ==#%E9%A1%B9%E7%9B%AE%E5%87%86%E5%A4%87
[Link 2]: http://tuwen.1000phone.net/details?id=NTg2NQ==#%E9%A1%B9%E7%9B%AE%E5%AE%9E%E7%8E%B0