Java Broadcast.value方法代碼示例

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
public T sliceOperations(long rl, long ru, long cl, long cu, T block) 
		throws DMLRuntimeException 
{
	T ret = null;
	
	for( Broadcast<PartitionedBlock<T>> bc : _pbc ) {
		PartitionedBlock<T> pm = bc.value();
		T tmp = pm.sliceOperations(rl, ru, cl, cu, block);
		if( ret != null )
			ret.merge(tmp, false);
		else
			ret = tmp;
	}
	
	return ret;
}
 

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
/**
 * @return and RDD of {@link Tuple2<AssemblyRegion, SimpleInterval>} which pairs each AssemblyRegion with the
 * interval it was generated in
 */
private static FlatMapFunction<Iterator<Shard<GATKRead>>, Tuple2<AssemblyRegion, SimpleInterval>> shardsToAssemblyRegions(
        final Broadcast<ReferenceMultiSource> reference,
        final Broadcast<HaplotypeCallerArgumentCollection> hcArgsBroadcast,
        final ShardingArgumentCollection assemblyArgs,
        final SAMFileHeader header,
        final Broadcast<VariantAnnotatorEngine> annotatorEngineBroadcast) {
    return shards -> {
        final ReferenceMultiSource referenceMultiSource = reference.value();
        final ReferenceMultiSourceAdapter referenceSource = new ReferenceMultiSourceAdapter(referenceMultiSource);
        final HaplotypeCallerEngine hcEngine = new HaplotypeCallerEngine(hcArgsBroadcast.value(), false, false, header, referenceSource, annotatorEngineBroadcast.getValue());

        final ReadsDownsampler readsDownsampler = assemblyArgs.maxReadsPerAlignmentStart > 0 ?
            new PositionalDownsampler(assemblyArgs.maxReadsPerAlignmentStart, header) : null;
        return Utils.stream(shards)
                //TODO we've hacked multi interval shards here with a shim, but we should investigate as smarter approach https://github.com/broadinstitute/gatk/issues/4299
            .map(shard -> new ShardToMultiIntervalShardAdapter<>(
                    new DownsampleableSparkReadShard(new ShardBoundary(shard.getInterval(), shard.getPaddedInterval()), shard, readsDownsampler)))
            .flatMap(shardToRegion(assemblyArgs, header, referenceSource, hcEngine)).iterator();
    };
}
 

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
/**
 * Call variants from Tuples of AssemblyRegion and Simple Interval
 * The interval should be the non-padded shard boundary for the shard that the corresponding AssemblyRegion was
 * created in, it's used to eliminate redundant variant calls at the edge of shard boundaries.
 */
private static FlatMapFunction<Iterator<Tuple2<AssemblyRegion, SimpleInterval>>, VariantContext> callVariantsFromAssemblyRegions(
        final AuthHolder authHolder,
        final SAMFileHeader header,
        final Broadcast<ReferenceMultiSource> referenceBroadcast,
        final Broadcast<HaplotypeCallerArgumentCollection> hcArgsBroadcast) {
    return regionAndIntervals -> {
        //HaplotypeCallerEngine isn't serializable but is expensive to instantiate, so construct and reuse one for every partition
        final ReferenceMultiSourceAdapter referenceReader = new ReferenceMultiSourceAdapter(referenceBroadcast.getValue(), authHolder);
        final HaplotypeCallerEngine hcEngine = new HaplotypeCallerEngine(hcArgsBroadcast.value(), header, referenceReader);
        return iteratorToStream(regionAndIntervals).flatMap(regionToVariants(hcEngine)).iterator();
    };
}
 

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
/**
 * @return and RDD of {@link Tuple2<AssemblyRegion, SimpleInterval>} which pairs each AssemblyRegion with the
 * interval it was generated in
 */
private static FlatMapFunction<Iterator<Shard<GATKRead>>, Tuple2<AssemblyRegion, SimpleInterval>> shardsToAssemblyRegions(
        final AuthHolder authHolder,
        final Broadcast<ReferenceMultiSource> reference,
        final Broadcast<HaplotypeCallerArgumentCollection> hcArgsBroadcast,
        final ShardingArgumentCollection assemblyArgs,
        final SAMFileHeader header) {
    return shards -> {
        final ReferenceMultiSource referenceMultiSource = reference.value();
        final ReferenceMultiSourceAdapter referenceSource = new ReferenceMultiSourceAdapter(referenceMultiSource, authHolder);
        final HaplotypeCallerEngine hcEngine = new HaplotypeCallerEngine(hcArgsBroadcast.value(), header, referenceSource);

        return iteratorToStream(shards).flatMap(shardToRegion(assemblyArgs, header, referenceSource, hcEngine)).iterator();
    };
}
 

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
/**
 * Call variants from Tuples of AssemblyRegion and Simple Interval
 * The interval should be the non-padded shard boundary for the shard that the corresponding AssemblyRegion was
 * created in, it's used to eliminate redundant variant calls at the edge of shard boundaries.
 */
private static FlatMapFunction<Iterator<Tuple2<AssemblyRegion, SimpleInterval>>, VariantContext> callVariantsFromAssemblyRegions(
        final SAMFileHeader header,
        final Broadcast<ReferenceMultiSource> referenceBroadcast,
        final Broadcast<HaplotypeCallerArgumentCollection> hcArgsBroadcast,
        final Broadcast<VariantAnnotatorEngine> annotatorEngineBroadcast) {
    return regionAndIntervals -> {
        //HaplotypeCallerEngine isn't serializable but is expensive to instantiate, so construct and reuse one for every partition
        final ReferenceMultiSource referenceMultiSource = referenceBroadcast.value();
        final ReferenceMultiSourceAdapter referenceSource = new ReferenceMultiSourceAdapter(referenceMultiSource);
        final HaplotypeCallerEngine hcEngine = new HaplotypeCallerEngine(hcArgsBroadcast.value(), false, false, header, referenceSource, annotatorEngineBroadcast.getValue());
        return Utils.stream(regionAndIntervals).flatMap(regionToVariants(hcEngine)).iterator();
    };
}
 

import org.apache.spark.broadcast.Broadcast; //導入方法依賴的package包/類
public static void main(String[] args) {
    SparkConf conf = new SparkConf().setAppName("Big Apple").setMaster("local");
    JavaSparkContext sc = new JavaSparkContext(conf);


    Broadcast<int[]> broadcastVar = sc.broadcast(new int[] {1, 2, 3});
    broadcastVar.value();

    Accumulator<Integer> accum = sc.accumulator(0);

    sc.parallelize(Arrays.asList(1, 2, 3, 4)).foreach(x -> accum.add(x));

    accum.value();
}