@Test public void javaDoubleRDD() { JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0)); JavaDoubleRDD distinct = rdd.distinct(); assertEquals(5, distinct.count()); JavaDoubleRDD filter = rdd.filter(x -> x > 2.0); assertEquals(3, filter.count()); JavaDoubleRDD union = rdd.union(rdd); assertEquals(12, union.count()); union = union.cache(); assertEquals(12, union.count()); assertEquals(20, rdd.sum(), 0.01); StatCounter stats = rdd.stats(); assertEquals(20, stats.sum(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(6.22222, rdd.variance(), 0.01); assertEquals(rdd.variance(), rdd.popVariance(), 1e-14); assertEquals(7.46667, rdd.sampleVariance(), 0.01); assertEquals(2.49444, rdd.stdev(), 0.01); assertEquals(rdd.stdev(), rdd.popStdev(), 1e-14); assertEquals(2.73252, rdd.sampleStdev(), 0.01); rdd.first(); rdd.take(5); }
@Test public void javaDoubleRDD() { JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0)); JavaDoubleRDD distinct = rdd.distinct(); assertEquals(5, distinct.count()); JavaDoubleRDD filter = rdd.filter(x -> x > 2.0); assertEquals(3, filter.count()); JavaDoubleRDD union = rdd.union(rdd); assertEquals(12, union.count()); union = union.cache(); assertEquals(12, union.count()); assertEquals(20, rdd.sum(), 0.01); StatCounter stats = rdd.stats(); assertEquals(20, stats.sum(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(6.22222, rdd.variance(), 0.01); assertEquals(rdd.variance(), rdd.popVariance(), 1e-14); assertEquals(7.46667, rdd.sampleVariance(), 0.01); assertEquals(2.49444, rdd.stdev(), 0.01); assertEquals(rdd.stdev(), rdd.popStdev(), 1e-14); assertEquals(2.73252, rdd.sampleStdev(), 0.01); rdd.first(); rdd.take(5); }
@Test public void javaDoubleRDD() { JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0)); JavaDoubleRDD distinct = rdd.distinct(); assertEquals(5, distinct.count()); JavaDoubleRDD filter = rdd.filter(x -> x > 2.0); assertEquals(3, filter.count()); JavaDoubleRDD union = rdd.union(rdd); assertEquals(12, union.count()); union = union.cache(); assertEquals(12, union.count()); assertEquals(20, rdd.sum(), 0.01); StatCounter stats = rdd.stats(); assertEquals(20, stats.sum(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(20/6.0, rdd.mean(), 0.01); assertEquals(6.22222, rdd.variance(), 0.01); assertEquals(rdd.variance(), rdd.popVariance(), 1e-14); assertEquals(7.46667, rdd.sampleVariance(), 0.01); assertEquals(2.49444, rdd.stdev(), 0.01); assertEquals(rdd.stdev(), rdd.popStdev(), 1e-14); assertEquals(2.73252, rdd.sampleStdev(), 0.01); rdd.first(); rdd.take(5); }
@Override public MDoubleStream union(MDoubleStream other) { if (other == null) { return this; } else if (other instanceof SparkDoubleStream) { return new SparkDoubleStream(doubleStream.union(Cast.<SparkDoubleStream>as(other).getRDD())); } SparkStreamingContext sc = getContext(); List<Double> doubleList = new PrimitiveArrayList<>(other.toArray(), Double.class); return new SparkDoubleStream(doubleStream.union(sc.sparkContext().parallelizeDoubles(doubleList))); }