[SPARK-3266] Use intermediate abstract classes to fix type erasure issues in Java APIs

core/src/main/scala/org/apache/spark/api/java/JavaDoubleRDD.scala

@@ -32,7 +32,8 @@ import org.apache.spark.storage.StorageLevel
 import org.apache.spark.util.StatCounter
 import org.apache.spark.util.Utils
 
-class JavaDoubleRDD(val srdd: RDD[scala.Double]) extends JavaRDDLike[JDouble, JavaDoubleRDD] {
+class JavaDoubleRDD(val srdd: RDD[scala.Double])
+  extends AbstractJavaRDDLike[JDouble, JavaDoubleRDD] {
 
   override val classTag: ClassTag[JDouble] = implicitly[ClassTag[JDouble]]
 

core/src/main/scala/org/apache/spark/api/java/JavaPairRDD.scala

@@ -44,7 +44,7 @@ import org.apache.spark.util.Utils
 
 class JavaPairRDD[K, V](val rdd: RDD[(K, V)])
                        (implicit val kClassTag: ClassTag[K], implicit val vClassTag: ClassTag[V])
-  extends JavaRDDLike[(K, V), JavaPairRDD[K, V]] {
+  extends AbstractJavaRDDLike[(K, V), JavaPairRDD[K, V]] {
 
   override def wrapRDD(rdd: RDD[(K, V)]): JavaPairRDD[K, V] = JavaPairRDD.fromRDD(rdd)
 

core/src/main/scala/org/apache/spark/api/java/JavaRDD.scala

@@ -30,7 +30,7 @@ import org.apache.spark.storage.StorageLevel
 import org.apache.spark.util.Utils
 
 class JavaRDD[T](val rdd: RDD[T])(implicit val classTag: ClassTag[T])
-  extends JavaRDDLike[T, JavaRDD[T]] {
+  extends AbstractJavaRDDLike[T, JavaRDD[T]] {
 
   override def wrapRDD(rdd: RDD[T]): JavaRDD[T] = JavaRDD.fromRDD(rdd)
 

core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala

@@ -38,6 +38,14 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.storage.StorageLevel
 import org.apache.spark.util.Utils
 
+/**
+ * As a workaround for https://issues.scala-lang.org/browse/SI-8905, implementations
+ * of JavaRDDLike should extend this dummy abstract class instead of directly inheriting
+ * from the trait. See SPARK-3266 for additional details.
+ */
+private[spark] abstract class AbstractJavaRDDLike[T, This <: JavaRDDLike[T, This]]
+  extends JavaRDDLike[T, This]
+
 /**
  * Defines operations common to several Java RDD implementations.
  * Note that this trait is not intended to be implemented by user code.

core/src/test/java/org/apache/spark/JavaAPISuite.java

@@ -267,6 +267,22 @@ public void call(String s) throws IOException {
     Assert.assertEquals(2, accum.value().intValue());
   }
 
+  @Test
+  public void foreachPartition() {
+    final Accumulator<Integer> accum = sc.accumulator(0);
+    JavaRDD<String> rdd = sc.parallelize(Arrays.asList("Hello", "World"));
+    rdd.foreachPartition(new VoidFunction<Iterator<String>>() {
+      @Override
+      public void call(Iterator<String> iter) throws IOException {
+        while (iter.hasNext()) {
+          iter.next();
+          accum.add(1);
+        }
+      }
+    });
+    Assert.assertEquals(2, accum.value().intValue());
+  }
+
   @Test
   public void toLocalIterator() {
     List<Integer> correct = Arrays.asList(1, 2, 3, 4);
@@ -657,6 +673,13 @@ public Boolean call(Integer i) {
         }).isEmpty());
   }
 
+  @Test
+  public void toArray() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3));
+    List<Integer> list = rdd.toArray();
+    Assert.assertEquals(Arrays.asList(1, 2, 3), list);
+  }
+
   @Test
   public void cartesian() {
     JavaDoubleRDD doubleRDD = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0));
@@ -714,6 +737,80 @@ public void javaDoubleRDDHistoGram() {
         sc.parallelizeDoubles(new ArrayList<Double>(0), 1).histogram(new double[]{0.0, 1.0}));
   }
 
+  private static class DoubleComparator implements Comparator<Double>, Serializable {
+    public int compare(Double o1, Double o2) {
+      return o1.compareTo(o2);
+    }
+  }
+
+  @Test
+  public void max() {
+    JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 2.0, 3.0, 4.0));
+    double max = rdd.max(new DoubleComparator());
+    Assert.assertEquals(4.0, max, 0.001);
+  }
+
+  @Test
+  public void min() {
+    JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 2.0, 3.0, 4.0));
+    double max = rdd.min(new DoubleComparator());
+    Assert.assertEquals(1.0, max, 0.001);
+  }
+
+  @Test
+  public void takeOrdered() {
+    JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 2.0, 3.0, 4.0));
+    Assert.assertEquals(Arrays.asList(1.0, 2.0), rdd.takeOrdered(2, new DoubleComparator()));
+    Assert.assertEquals(Arrays.asList(1.0, 2.0), rdd.takeOrdered(2));
+  }
+
+  @Test
+  public void top() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
+    List<Integer> top2 = rdd.top(2);
+    Assert.assertEquals(Arrays.asList(4, 3), top2);
+  }
+
+  private static class AddInts implements Function2<Integer, Integer, Integer> {
+    @Override
+    public Integer call(Integer a, Integer b) {
+      return a + b;
+    }
+  }
+
+  @Test
+  public void reduce() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
+    int sum = rdd.reduce(new AddInts());
+    Assert.assertEquals(10, sum);
+  }
+
+  @Test
+  public void reduceOnJavaDoubleRDD() {
+    JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 2.0, 3.0, 4.0));
+    double sum = rdd.reduce(new Function2<Double, Double, Double>() {
+      @Override
+      public Double call(Double v1, Double v2) throws Exception {
+        return v1 + v2;
+      }
+    });
+    Assert.assertEquals(10.0, sum, 0.001);
+  }
+
+  @Test
+  public void fold() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
+    int sum = rdd.fold(0, new AddInts());
+    Assert.assertEquals(10, sum);
+  }
+
+  @Test
+  public void aggregate() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
+    int sum = rdd.aggregate(0, new AddInts(), new AddInts());
+    Assert.assertEquals(10, sum);
+  }
+
   @Test
   public void map() {
     JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5));
@@ -830,6 +927,25 @@ public Iterable<Integer> call(Iterator<Integer> iter) {
     Assert.assertEquals("[3, 7]", partitionSums.collect().toString());
   }
 
+
+  @Test
+  public void mapPartitionsWithIndex() {
+    JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4), 2);
+    JavaRDD<Integer> partitionSums = rdd.mapPartitionsWithIndex(
+      new Function2<Integer, Iterator<Integer>, Iterator<Integer>>() {
+        @Override
+        public Iterator<Integer> call(Integer index, Iterator<Integer> iter) throws Exception {
+          int sum = 0;
+          while (iter.hasNext()) {
+            sum += iter.next();
+          }
+          return Collections.singletonList(sum).iterator();
+        }
+    }, false);
+    Assert.assertEquals("[3, 7]", partitionSums.collect().toString());
+  }
+
+
   @Test
   public void repartition() {
     // Shrinking number of partitions
@@ -1516,6 +1632,19 @@ public void collectAsync() throws Exception {
     Assert.assertEquals(1, future.jobIds().size());
   }
 
+  @Test
+  public void takeAsync() throws Exception {
+    List<Integer> data = Arrays.asList(1, 2, 3, 4, 5);
+    JavaRDD<Integer> rdd = sc.parallelize(data, 1);
+    JavaFutureAction<List<Integer>> future = rdd.takeAsync(1);
+    List<Integer> result = future.get();
+    Assert.assertEquals(1, result.size());
+    Assert.assertEquals((Integer) 1, result.get(0));
+    Assert.assertFalse(future.isCancelled());
+    Assert.assertTrue(future.isDone());
+    Assert.assertEquals(1, future.jobIds().size());
+  }
+
   @Test
   public void foreachAsync() throws Exception {
     List<Integer> data = Arrays.asList(1, 2, 3, 4, 5);

streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStream.scala

@@ -36,7 +36,7 @@ import org.apache.spark.streaming.dstream.DStream
  * [[org.apache.spark.streaming.api.java.JavaPairDStream]].
  */
 class JavaDStream[T](val dstream: DStream[T])(implicit val classTag: ClassTag[T])
-    extends JavaDStreamLike[T, JavaDStream[T], JavaRDD[T]] {
+    extends AbstractJavaDStreamLike[T, JavaDStream[T], JavaRDD[T]] {
 
   override def wrapRDD(rdd: RDD[T]): JavaRDD[T] = JavaRDD.fromRDD(rdd)
 

streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaDStreamLike.scala

@@ -34,6 +34,15 @@ import org.apache.spark.streaming._
 import org.apache.spark.streaming.api.java.JavaDStream._
 import org.apache.spark.streaming.dstream.DStream
 
+/**
+ * As a workaround for https://issues.scala-lang.org/browse/SI-8905, implementations
+ * of JavaDStreamLike should extend this dummy abstract class instead of directly inheriting
+ * from the trait. See SPARK-3266 for additional details.
+ */
+private[streaming]
+abstract class AbstractJavaDStreamLike[T, This <: JavaDStreamLike[T, This, R],
+  R <: JavaRDDLike[T, R]] extends JavaDStreamLike[T, This, R]
+
 trait JavaDStreamLike[T, This <: JavaDStreamLike[T, This, R], R <: JavaRDDLike[T, R]]
     extends Serializable {
   implicit val classTag: ClassTag[T]

streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaPairDStream.scala

@@ -45,7 +45,7 @@ import org.apache.spark.streaming.dstream.DStream
 class JavaPairDStream[K, V](val dstream: DStream[(K, V)])(
     implicit val kManifest: ClassTag[K],
     implicit val vManifest: ClassTag[V])
-    extends JavaDStreamLike[(K, V), JavaPairDStream[K, V], JavaPairRDD[K, V]] {
+    extends AbstractJavaDStreamLike[(K, V), JavaPairDStream[K, V], JavaPairRDD[K, V]] {
 
   override def wrapRDD(rdd: RDD[(K, V)]): JavaPairRDD[K, V] = JavaPairRDD.fromRDD(rdd)