You can easily count the number of words in a string with the following example:ExampleGet your own Java Server String words = "One Two Three Four"; int countWords = words.split("\\s").length; System.out.println(countWords); Try it Yourself » ...
1//"-w"操作:传入一个文件路径,返回该文件的词数2publicstaticString getWordsCount(String filePath)throwsIOException {3File file =newFile(filePath);4intwordsCount = 0;5String str =null;6//装饰模式,使其获得多功能7FileReader fileReader =newFileReader(file);8BufferedReader reader =newBufferedReader(...
words=currentLine.split(" "); for(String word:words){ //去掉空格,和空字符 if(!word.equals(" ")&&!word.equals("")){ num++; } } } bw.write(fileName+","+"单词数"+":"); bw.write(num.toString()); br.close(); bw.close(); return num; } public static int lineNum(String fil...
import java.util.function.Function; import java.util.stream.Collectors; public class Main { public static void main(String[] args) { // Define a string 'text' with certain characters String text = "abcdaa"; System.out.println("Original String: " + text); // Display the original string ...
master(String.format("local[%d]", n_threads)) .getOrCreate(); JavaRDD<String> lines = spark.read().textFile(input_path).javaRDD(); JavaRDD<String> words = lines.flatMap(s -> Arrays.asList(SPACE.split(s)).iterator()); JavaPairRDD<String, Integer> ones = words.mapToPair(s ->...
public void CountWords() throws IOException { ... } //返回 代码行/空行/注释行 的行数 public void CountLinesByKind()throws IOException { ... } //使用停用词文件 统计单词个数 public void CountWordsWithLimite() throws IOException { ... ...
create table words( words string )row format delimited fields terminated by '|'; // 数据 hello,java,hello,java,scala,python hbase,hadoop,hadoop,hdfs,hive,hive hbase,hadoop,hadoop,hdfs,hive,hive select word,count(*) from (select explode(split(words,',')) word from words) a group by a...
// 定义函数只是为了能形式化地引入外部变量defwordCount(sc:SparkContext,inputPath:String,outputPath:String):Unit={// 不使用链式调用也是为了清晰val lines=sc.textFile(inputPath)// 读取val words=lines.flatMap(_.split(""))// 把字符串按空格切割并展平val wordPairs=words.map((_,1))// 对每个 ...
JavaPairRDD countData = wordsFromFile.mapToPair(t -> new Tuple2(t, 1)).reduceByKey((x, y) -> (int) x + (int) y); countData.saveAsTextFile("CountData"); } public static void main(String[] args) { if (args.length == 0) { ...
java.util.Set<String> grupingThanFilter = allWords.stream().collect(Collectors.collectingAndThen(Collectors .groupingBy(Function.identity(), Collectors.counting()),map->{ map.values().removeIf(l -> l<=2); return map.keySet(); })); ...