本文整理了Java中org.apache.spark.api.java.JavaRDD.name()方法的一些代码示例，展示了JavaRDD.name()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。JavaRDD.name()方法的具体详情如下：
包路径：org.apache.spark.api.java.JavaRDD
类名称：JavaRDD
方法名：name

JavaRDD.name介绍

暂无

代码示例

代码示例来源：origin: org.apache.spark/spark-core_2.11

@Test
public void testGetPersistentRDDs() {
 java.util.Map<Integer, JavaRDD<?>> cachedRddsMap = sc.getPersistentRDDs();
 assertTrue(cachedRddsMap.isEmpty());
 JavaRDD<String> rdd1 = sc.parallelize(Arrays.asList("a", "b")).setName("RDD1").cache();
 JavaRDD<String> rdd2 = sc.parallelize(Arrays.asList("c", "d")).setName("RDD2").cache();
 cachedRddsMap = sc.getPersistentRDDs();
 assertEquals(2, cachedRddsMap.size());
 assertEquals("RDD1", cachedRddsMap.get(0).name());
 assertEquals("RDD2", cachedRddsMap.get(1).name());
}

代码示例来源：origin: org.apache.spark/spark-core_2.10

@Test
public void testGetPersistentRDDs() {
 java.util.Map<Integer, JavaRDD<?>> cachedRddsMap = sc.getPersistentRDDs();
 assertTrue(cachedRddsMap.isEmpty());
 JavaRDD<String> rdd1 = sc.parallelize(Arrays.asList("a", "b")).setName("RDD1").cache();
 JavaRDD<String> rdd2 = sc.parallelize(Arrays.asList("c", "d")).setName("RDD2").cache();
 cachedRddsMap = sc.getPersistentRDDs();
 assertEquals(2, cachedRddsMap.size());
 assertEquals("RDD1", cachedRddsMap.get(0).name());
 assertEquals("RDD2", cachedRddsMap.get(1).name());
}

代码示例来源：origin: org.apache.spark/spark-core

@Test
public void testGetPersistentRDDs() {
 java.util.Map<Integer, JavaRDD<?>> cachedRddsMap = sc.getPersistentRDDs();
 assertTrue(cachedRddsMap.isEmpty());
 JavaRDD<String> rdd1 = sc.parallelize(Arrays.asList("a", "b")).setName("RDD1").cache();
 JavaRDD<String> rdd2 = sc.parallelize(Arrays.asList("c", "d")).setName("RDD2").cache();
 cachedRddsMap = sc.getPersistentRDDs();
 assertEquals(2, cachedRddsMap.size());
 assertEquals("RDD1", cachedRddsMap.get(0).name());
 assertEquals("RDD2", cachedRddsMap.get(1).name());
}

代码示例来源：origin: uber/marmaray

public final void execute() {
  this.forkFunction.registerAccumulators(this.inputRDD.rdd().sparkContext());
  // Converts JavaRDD<T> -> JavaRDD<List<Integer>, T>
  JavaRDD<ForkData<DI>> forkedData = this.inputRDD.flatMap(this.forkFunction)
    .persist(this.persistLevel);
  final String jobName = SparkJobTracker.getJobName(this.inputRDD.rdd().sparkContext());
  forkedData.setName(String.format("%s-%s", jobName, forkedData.id()));
  // deliberately calling count so that DAG gets executed.
  final long processedRecords = forkedData.count();
  final Optional<RDDInfo> rddInfo = SparkUtil.getRddInfo(forkedData.context(), forkedData.id());
  log.info("#processed records :{} name:{}", processedRecords, forkedData.name());
  if (rddInfo.isPresent()) {
    final long size = rddInfo.get().diskSize() + rddInfo.get().memSize();
    log.info("rddInfo -> name:{} partitions:{} size:{}", forkedData.name(), rddInfo.get().numPartitions(),
      size);
  }
  this.groupRDD = Optional.of(forkedData);
}