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diff --git a/mllib/src/test/java/org/apache/spark/mllib/random/JavaRandomRDDsSuite.java b/mllib/src/test/java/org/apache/spark/mllib/random/JavaRandomRDDsSuite.java
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.random;
+
+import com.google.common.collect.Lists;
+import org.apache.spark.api.java.JavaRDD;
+import org.junit.Assert;
+import org.junit.After;
+import org.junit.Before;
+import org.junit.Test;
+
+import org.apache.spark.api.java.JavaDoubleRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.linalg.Vector;
+import static org.apache.spark.mllib.random.RandomRDDs.*;
+
+public class JavaRandomRDDsSuite {
+  private transient JavaSparkContext sc;
+
+  @Before
+  public void setUp() {
+    sc = new JavaSparkContext("local", "JavaRandomRDDsSuite");
+  }
+
+  @After
+  public void tearDown() {
+    sc.stop();
+    sc = null;
+  }
+
+  @Test
+  public void testUniformRDD() {
+    long m = 1000L;
+    int p = 2;
+    long seed = 1L;
+    JavaDoubleRDD rdd1 = uniformJavaRDD(sc, m);
+    JavaDoubleRDD rdd2 = uniformJavaRDD(sc, m, p);
+    JavaDoubleRDD rdd3 = uniformJavaRDD(sc, m, p, seed);
+    for (JavaDoubleRDD rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+    }
+  }
+
+  @Test
+  public void testNormalRDD() {
+    long m = 1000L;
+    int p = 2;
+    long seed = 1L;
+    JavaDoubleRDD rdd1 = normalJavaRDD(sc, m);
+    JavaDoubleRDD rdd2 = normalJavaRDD(sc, m, p);
+    JavaDoubleRDD rdd3 = normalJavaRDD(sc, m, p, seed);
+    for (JavaDoubleRDD rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+    }
+  }
+
+  @Test
+  public void testPoissonRDD() {
+    double mean = 2.0;
+    long m = 1000L;
+    int p = 2;
+    long seed = 1L;
+    JavaDoubleRDD rdd1 = poissonJavaRDD(sc, mean, m);
+    JavaDoubleRDD rdd2 = poissonJavaRDD(sc, mean, m, p);
+    JavaDoubleRDD rdd3 = poissonJavaRDD(sc, mean, m, p, seed);
+    for (JavaDoubleRDD rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+    }
+  }
+
+  @Test
+  @SuppressWarnings("unchecked")
+  public void testUniformVectorRDD() {
+    long m = 100L;
+    int n = 10;
+    int p = 2;
+    long seed = 1L;
+    JavaRDD<Vector> rdd1 = uniformJavaVectorRDD(sc, m, n);
+    JavaRDD<Vector> rdd2 = uniformJavaVectorRDD(sc, m, n, p);
+    JavaRDD<Vector> rdd3 = uniformJavaVectorRDD(sc, m, n, p, seed);
+    for (JavaRDD<Vector> rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+      Assert.assertEquals(n, rdd.first().size());
+    }
+  }
+
+  @Test
+  @SuppressWarnings("unchecked")
+  public void testNormalVectorRDD() {
+    long m = 100L;
+    int n = 10;
+    int p = 2;
+    long seed = 1L;
+    JavaRDD<Vector> rdd1 = normalJavaVectorRDD(sc, m, n);
+    JavaRDD<Vector> rdd2 = normalJavaVectorRDD(sc, m, n, p);
+    JavaRDD<Vector> rdd3 = normalJavaVectorRDD(sc, m, n, p, seed);
+    for (JavaRDD<Vector> rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+      Assert.assertEquals(n, rdd.first().size());
+    }
+  }
+
+  @Test
+  @SuppressWarnings("unchecked")
+  public void testPoissonVectorRDD() {
+    double mean = 2.0;
+    long m = 100L;
+    int n = 10;
+    int p = 2;
+    long seed = 1L;
+    JavaRDD<Vector> rdd1 = poissonJavaVectorRDD(sc, mean, m, n);
+    JavaRDD<Vector> rdd2 = poissonJavaVectorRDD(sc, mean, m, n, p);
+    JavaRDD<Vector> rdd3 = poissonJavaVectorRDD(sc, mean, m, n, p, seed);
+    for (JavaRDD<Vector> rdd: Lists.newArrayList(rdd1, rdd2, rdd3)) {
+      Assert.assertEquals(m, rdd.count());
+      Assert.assertEquals(n, rdd.first().size());
+    }
+  }
+}