Java Code Examples for scala.reflect.ClassManifestFactory#fromClass()

The following examples show how to use scala.reflect.ClassManifestFactory#fromClass() . These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
/**
 * Wraps the input RDD into a PartitionPruningRDD, which acts as a filter
 * of required partitions. The distinct set of required partitions is determined
 * via the partitioner of the input RDD.
 * 
 * @param in input matrix as {@code JavaPairRDD<MatrixIndexes,MatrixBlock>}
 * @param filter partition filter
 * @return matrix as {@code JavaPairRDD<MatrixIndexes,MatrixBlock>}
 */
private static JavaPairRDD<MatrixIndexes,MatrixBlock> createPartitionPruningRDD( 
		JavaPairRDD<MatrixIndexes,MatrixBlock> in, List<MatrixIndexes> filter )
{
	//build hashset of required partition ids
	HashSet<Integer> flags = new HashSet<>();
	Partitioner partitioner = in.rdd().partitioner().get();
	for( MatrixIndexes key : filter )
		flags.add(partitioner.getPartition(key));

	//create partition pruning rdd
	Function1<Object,Object> f = new PartitionPruningFunction(flags);
	PartitionPruningRDD<Tuple2<MatrixIndexes, MatrixBlock>> ppRDD = 
			PartitionPruningRDD.create(in.rdd(), f);

	//wrap output into java pair rdd
	return new JavaPairRDD<>(ppRDD, 
			ClassManifestFactory.fromClass(MatrixIndexes.class), 
			ClassManifestFactory.fromClass(MatrixBlock.class));
}
 
Example 2
/**
 * Wraps the input RDD into a PartitionPruningRDD, which acts as a filter
 * of required partitions. The distinct set of required partitions is determined
 * via the partitioner of the input RDD.
 * 
 * @param in input matrix as {@code JavaPairRDD<MatrixIndexes,MatrixBlock>}
 * @param filter partition filter
 * @return matrix as {@code JavaPairRDD<MatrixIndexes,MatrixBlock>}
 */
private static JavaPairRDD<MatrixIndexes,MatrixBlock> createPartitionPruningRDD( 
		JavaPairRDD<MatrixIndexes,MatrixBlock> in, List<MatrixIndexes> filter )
{
	//build hashset of required partition ids
	HashSet<Integer> flags = new HashSet<>();
	Partitioner partitioner = in.rdd().partitioner().get();
	for( MatrixIndexes key : filter )
		flags.add(partitioner.getPartition(key));

	//create partition pruning rdd
	Function1<Object,Object> f = new PartitionPruningFunction(flags);
	PartitionPruningRDD<Tuple2<MatrixIndexes, MatrixBlock>> ppRDD = 
			PartitionPruningRDD.create(in.rdd(), f);

	//wrap output into java pair rdd
	return new JavaPairRDD<>(ppRDD, 
			ClassManifestFactory.fromClass(MatrixIndexes.class), 
			ClassManifestFactory.fromClass(MatrixBlock.class));
}