// @Override
public void performSourceMapReduce(JavaRDD<KeyValueObject<KEYIN, VALUEIN>> pInputs) {
// if not commented out this line forces mappedKeys to be realized
// pInputs = SparkUtilities.realizeAndReturn(pInputs,getCtx());
JavaSparkContext ctx2 = SparkUtilities.getCurrentContext();
System.err.println("Starting Score Mapping");
JavaPairRDD<K, Tuple2<K, V>> kkv = performMappingPart(pInputs);
// kkv = SparkUtilities.realizeAndReturn(kkv, ctx2);
// mappedKeys = mappedKeys.persist(StorageLevel.MEMORY_AND_DISK_2());
// // if not commented out this line forces mappedKeys to be realized
// mappedKeys = SparkUtilities.realizeAndReturn(mappedKeys, ctx2);
//
// // convert to tuples
// // JavaPairRDD<K, Tuple2<K, V>> kkv = mappedKeys.mapToPair(new KeyValuePairFunction<K,
// V>());
//
// kkv = kkv.persist(StorageLevel.MEMORY_AND_DISK_2());
// // if not commented out this line forces mappedKeys to be realized
// kkv = SparkUtilities.realizeAndReturn(kkv, ctx2);
// if not commented out this line forces kvJavaPairRDD to be realized
// kkv = SparkUtilities.realizeAndReturn(kkv );
System.err.println("Starting Score Reduce");
IReducerFunction reduce = getReduce();
// for some reason the compiler thnks K or V is not Serializable
JavaPairRDD<K, Tuple2<K, V>> kkv1 = kkv;
// JavaPairRDD<? extends Serializable, Tuple2<? extends Serializable, ? extends Serializable>>
// kkv1 = (JavaPairRDD<? extends Serializable, Tuple2<? extends Serializable, ? extends
// Serializable>>)kkv;
//noinspection unchecked
JavaPairRDD<K, KeyAndValues<K, V>> reducedSets =
(JavaPairRDD<K, KeyAndValues<K, V>>) KeyAndValues.combineByKey(kkv1);
// if not commented out this line forces kvJavaPairRDD to be realized
reducedSets = SparkUtilities.realizeAndReturn(reducedSets);
PartitionAdaptor<K> prt = new PartitionAdaptor<K>(getPartitioner());
reducedSets = reducedSets.partitionBy(prt);
reducedSets = reducedSets.sortByKey();
// if not commented out this line forces kvJavaPairRDD to be realized
reducedSets = SparkUtilities.realizeAndReturn(reducedSets);
ReduceFunctionAdaptor f = new ReduceFunctionAdaptor(ctx2, reduce);
JavaRDD<KeyValueObject<KOUT, VOUT>> reducedOutput = reducedSets.flatMap(f);
// JavaPairRDD<K, V> kvJavaPairRDD = asTuples.partitionBy(sparkPartitioner);
// if not commented out this line forces kvJavaPairRDD to be realized
// kvJavaPairRDD = SparkUtilities.realizeAndReturn(kvJavaPairRDD,getCtx());
// if not commented out this line forces kvJavaPairRDD to be realized
// reducedOutput = SparkUtilities.realizeAndReturn(reducedOutput, ctx2);
output = reducedOutput;
}
// @Override
public void performSingleReturnMapReduce(JavaRDD<KeyValueObject<KEYIN, VALUEIN>> pInputs) {
// if not commented out this line forces mappedKeys to be realized
// pInputs = SparkUtilities.realizeAndReturn(pInputs,getCtx());
JavaPairRDD<K, Tuple2<K, V>> kkv = performMappingPart(pInputs);
// if not commented out this line forces kvJavaPairRDD to be realized
kkv = SparkUtilities.realizeAndReturn(kkv);
PartitionAdaptor<K> prt = new PartitionAdaptor<K>(getPartitioner());
kkv = kkv.partitionBy(prt);
IReducerFunction reduce = getReduce();
/** we can guarantee one output per input */
SingleOutputReduceFunctionAdaptor<K, V, KOUT, VOUT> f =
new SingleOutputReduceFunctionAdaptor((ISingleOutputReducerFunction) reduce);
JavaRDD<KeyValueObject<KOUT, VOUT>> reduced = kkv.map(f);
// if not commented out this line forces kvJavaPairRDD to be realized
reduced = SparkUtilities.realizeAndReturn(reduced);
output = reduced;
}