本文整理汇总了Java中org.apache.spark.api.java.JavaPairRDD.saveAsTextFile方法的典型用法代码示例。如果您正苦于以下问题：Java JavaPairRDD.saveAsTextFile方法的具体用法？Java JavaPairRDD.saveAsTextFile怎么用？Java JavaPairRDD.saveAsTextFile使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.spark.api.java.JavaPairRDD的用法示例。
在下文中一共展示了JavaPairRDD.saveAsTextFile方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import org.apache.spark.api.java.JavaPairRDD; //导入方法依赖的package包/类
public static void main(String[] args) {
if (args.length != 2) {
System.err.println("Usage:");
System.err.println(" SparkWordCount <sourceFile> <targetFile>");
System.exit(1);
}
SparkConf conf = new SparkConf()
.setAppName("Word Count");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> textFile = sc.textFile(args[0]);
JavaRDD<String> words = textFile.flatMap(LineIterator::new);
JavaPairRDD<String, Long> pairs =
words.mapToPair(s -> new Tuple2<>(s, 1L));
JavaPairRDD<String, Long> counts =
pairs.reduceByKey((Function2<Long, Long, Long>) (a, b) -> a + b);
System.out.println("Starting task..");
long t = System.currentTimeMillis();
counts.saveAsTextFile(args[1] + "_" + t);
System.out.println("Time=" + (System.currentTimeMillis() - t));
}
示例2: wordCountJava8
import org.apache.spark.api.java.JavaPairRDD; //导入方法依赖的package包/类
public static void wordCountJava8( String filename )
{
// Define a configuration to use to interact with Spark
SparkConf conf = new SparkConf().setMaster("local").setAppName("Work Count App");
// Create a Java version of the Spark Context from the configuration
JavaSparkContext sc = new JavaSparkContext(conf);
// Load the input data, which is a text file read from the command line
JavaRDD<String> input = sc.textFile( filename );
// Java 8 with lambdas: split the input string into words
// TODO here a change has happened
JavaRDD<String> words = input.flatMap( s -> Arrays.asList( s.split( " " ) ).iterator() );
// Java 8 with lambdas: transform the collection of words into pairs (word and 1) and then count them
JavaPairRDD<Object, Object> counts = words.mapToPair( t -> new Tuple2( t, 1 ) ).reduceByKey( (x, y) -> (int)x + (int)y );
// Save the word count back out to a text file, causing evaluation.
counts.saveAsTextFile( "output" );
}
示例3: main
import org.apache.spark.api.java.JavaPairRDD; //导入方法依赖的package包/类
public static void main(String[] args) throws Exception {
System.out.println(System.getProperty("hadoop.home.dir"));
String inputPath = args[0];
String outputPath = args[1];
FileUtils.deleteQuietly(new File(outputPath));
JavaSparkContext sc = new JavaSparkContext("local", "sparkwordcount");
JavaRDD<String> rdd = sc.textFile(inputPath);
JavaPairRDD<String, Integer> counts = rdd
.flatMap(x -> Arrays.asList(x.split(" ")).iterator())
.mapToPair(x -> new Tuple2<String, Integer>((String) x, 1))
.reduceByKey((x, y) -> x + y);
counts.saveAsTextFile(outputPath);
sc.close();
}