# 概述 NumPy是一個開源的科學計算庫，它提供了高效的數值計算和數組操作功能，主要包括： * 多維數組的創建、操作和索引。 * 數組的切片、拼接和轉置。 * 數組的乘法、除法、求導、積分、對數等基本運算。 * 數組的逐元素操作、求平均值、中位數、眾數等統計量。 * 數組作為列表、元組等數據類型進 ...
import com.google.common.base.Splitter;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.api.java.function.VoidFunction;
import scala.Tuple2;
import java.util.Arrays;
import java.util.Iterator;
public class WordCount {
public static void main(String[] args) {
SparkConf sparkConf = new SparkConf().setAppName("WordCount").setMaster("local");
JavaSparkContext sc = new JavaSparkContext(sparkConf);
JavaRDD<String> lines = sc.textFile("file:/Users/zhudechao/gitee/bigdata/xzdream_spark/input/a.txt");
JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {
@Override
public Iterator<String> call(String line) throws Exception {
return Arrays.asList(line.split(" ")).iterator();
}
});
JavaPairRDD<String,Integer> pairRDD = words.mapToPair(new PairFunction<String, String, Integer>() {
@Override
public Tuple2<String, Integer> call(String word) throws Exception {
return new Tuple2<String, Integer>(word,1);
}
});
JavaPairRDD<String,Integer> wordCounts = pairRDD.reduceByKey(new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer v1, Integer v2) throws Exception {
return v1 + v2;
}
});
wordCounts.foreach(new VoidFunction<Tuple2<String, Integer>>() {
@Override
public void call(Tuple2<String, Integer> wordcount) throws Exception {
System.out.println(wordcount._1 + ":"+wordcount._2);
}
});
}
}
package com.huawei.mapreduce.wordcount; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; public class WordCountApp { public static class MyMapper extends Mapper<LongWritable, Text, Text, LongWritable>{ @Override protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, LongWritable>.Context context) throws IOException, InterruptedException { String line = value.toString(); String[] splited = line.split("\t"); for (String word : splited) { Text k2 = new Text(word); LongWritable v2 = new LongWritable(1); context.write(k2, v2); } } } public static class MyReducer extends Reducer<Text, LongWritable, Text, LongWritable>{ @Override protected void reduce(Text k2, Iterable<LongWritable> v2s, Reducer<Text, LongWritable, Text, LongWritable>.Context context) throws IOException, InterruptedException { long count = 0L; for (LongWritable times : v2s) { count += times.get(); } LongWritable v3 = new LongWritable(count); context.write(k2, v3); } } public static void main(String[] args) throws Exception{ Configuration conf = new Configuration(); Job job = Job.getInstance(conf , WordCountApp.class.getSimpleName()); //必須指定 job.setJarByClass(WordCountApp.class); //指定本業務job要使用的Mapper業務類 job.setMapperClass(MyMapper.class); //指定mapper輸出數據的<k2,v2>的類型 job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(LongWritable.class); //指定本業務job要使用的Reducer業務類 job.setReducerClass(MyReducer.class); //指定reducer輸出數據的<k3,v3>的類型 job.setOutputKeyClass(Text.class); job.setOutputValueClass(LongWritable.class); //輸入數據來自哪裡 FileInputFormat.setInputPaths(job, new Path(args[0])); //輸出數據寫到哪裡 FileOutputFormat.setOutputPath(job, new Path(args[1])); //true表示將運行進度等信息及時輸出給用戶 boolean res = job.waitForCompletion(true); System.exit(res?0:1); } }
tar -zxvf jdk-8u341-linux-x64.tar.gz wget https://hcip-materials.obs.cn-north-4.myhuaweicloud.com/jdk-8u341-linux-x64.tar.gz scp ~/eclipse-workspace/HDFSAPI/target/HDFSAPI-jar-with-dependencies.jar [email protected]:/root ssh root@xxx.xxx.xxx.xxx yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.IsFile yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.CreateFile1 yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.IsFile yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.CreateFile1 yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.CreateFile2 yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.ScanFile /user/test/hdfs/file10.txt yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.ScanFile /user/test/hdfs/file11.txt yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.DeleteFile /user/test/hdfs/file10.txt yarn jar HDFSAPI-jar-with-dependencies.jar com.huawei.hdfs.IsFile yarn jar MRAPI-jar-with-dependencies.jar com.huawei.mapreduce.wordcount.WordCountApp /user/user1/MR_data /user/user1/MR_out hdfs dfs -mkdir /user/user1 hdfs dfs -put MR_data /user/user1/ hdfs dfs -ls /user/user1/MR_out/ hdfs dfs -cat /user/user1/MR_out/part-r-00000 hdfs dfs -mkdir -p /user/user1/MR/input hdfs dfs -mkdir -p /user/user1/MR/output hdfs dfs -put mrsort.txt /user/user1/MR/input hdfs dfs -ls /user/user1/MR/output hdfs dfs -cat /user/user1/MR/output/part-r-00000 hdfs dfs -cat /user/user1/MR/output/part-r-00001 hdfs dfs -cat /user/user1/MR/output/part-r-00002
