本文整理了Java中org.apache.spark.api.java.JavaRDD.countApproxDistinct()
方法的一些代码示例,展示了JavaRDD.countApproxDistinct()
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.countApproxDistinct()
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:countApproxDistinct
暂无
代码示例来源:origin: org.apache.spark/spark-core
@Test
public void countApproxDistinct() {
List<Integer> arrayData = new ArrayList<>();
int size = 100;
for (int i = 0; i < 100000; i++) {
arrayData.add(i % size);
}
JavaRDD<Integer> simpleRdd = sc.parallelize(arrayData, 10);
assertTrue(Math.abs((simpleRdd.countApproxDistinct(0.05) - size) / (size * 1.0)) <= 0.1);
}
代码示例来源:origin: org.apache.spark/spark-core_2.10
@Test
public void countApproxDistinct() {
List<Integer> arrayData = new ArrayList<>();
int size = 100;
for (int i = 0; i < 100000; i++) {
arrayData.add(i % size);
}
JavaRDD<Integer> simpleRdd = sc.parallelize(arrayData, 10);
assertTrue(Math.abs((simpleRdd.countApproxDistinct(0.05) - size) / (size * 1.0)) <= 0.1);
}
代码示例来源:origin: org.apache.spark/spark-core_2.11
@Test
public void countApproxDistinct() {
List<Integer> arrayData = new ArrayList<>();
int size = 100;
for (int i = 0; i < 100000; i++) {
arrayData.add(i % size);
}
JavaRDD<Integer> simpleRdd = sc.parallelize(arrayData, 10);
assertTrue(Math.abs((simpleRdd.countApproxDistinct(0.05) - size) / (size * 1.0)) <= 0.1);
}
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