NLineInputFormat使用案例javascript
1.需求java
对每一个单词进行个数统计,要求根据每一个输入文件的行数来规定输出多少个切片。此案例要求每三行放入一个切片中。swift
(1) 输入数据微信
hadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldxiaoming hive helloworld
(2) 指望输出数据app
Number of splits:4
2.需求分析
ide
3.代码编写
oop
(1) 编写Mapper类测试
public class NLineMapper extends Mapper<LongWritable, Text, Text, LongWritable>{
private Text k = new Text(); private LongWritable v = new LongWritable(1);
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
// 1 获取一行 String line = value.toString();
// 2 切割 String[] splited = line.split(" ");
// 3 循环写出 for (int i = 0; i < splited.length; i++) {
k.set(splited[i]);
context.write(k, v); } }}
(2) 编写Reducer类大数据
public class NLineReducer extends Reducer<Text, LongWritable, Text, LongWritable>{
LongWritable v = new LongWritable();
protected void reduce(Text key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException { long sum = 0l;
// 1 汇总 for (LongWritable value : values) { sum += value.get(); } v.set(sum); // 2 输出 context.write(key, v); }}
(3) 编写Driver类ui
public class NLineDriver {
public static void main(String[] args) throws IOException, URISyntaxException, ClassNotFoundException, InterruptedException {
// 输入输出路径须要根据本身电脑上实际的输入输出路径设置args = new String[] { "d:/input/inputword", "d:/output1" };
// 1 获取job对象 Configuration configuration = new Configuration(); Job job = Job.getInstance(configuration);
// 7设置每一个切片InputSplit中划分三条记录 NLineInputFormat.setNumLinesPerSplit(job, 3);
// 8使用NLineInputFormat处理记录数 job.setInputFormatClass(NLineInputFormat.class);
// 2设置jar包位置,关联mapper和reducer job.setJarByClass(NLineDriver.class); job.setMapperClass(NLineMapper.class); job.setReducerClass(NLineReducer.class);
// 3设置map输出kv类型 job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(LongWritable.class);
// 4设置最终输出kv类型 job.setOutputKeyClass(Text.class); job.setOutputValueClass(LongWritable.class);
// 5设置输入输出数据路径 FileInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1]));
// 6提交job job.waitForCompletion(true); }}
4.测试
(1) 输入数据
hadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldhadoop ni haoxiaoming hive helloworldxiaoming hive helloworld
(2) 输出结果的切片数
Number of splits:4
关注「跟我一块儿学大数据」
跟我一块儿学大数据
本文分享自微信公众号 - 跟我一块儿学大数据(java_big_data)。
若有侵权,请联系 support@oschina.cn 删除。
本文参与“OSC源创计划”,欢迎正在阅读的你也加入,一块儿分享。