package org.broadinstitute.sting.gatk.executive; import org.broadinstitute.sting.gatk.datasources.providers.ShardDataProvider; import org.broadinstitute.sting.gatk.datasources.shards.Shard; import org.broadinstitute.sting.gatk.datasources.shards.ShardStrategy; import org.broadinstitute.sting.gatk.walkers.Walker; import org.broadinstitute.sting.gatk.refdata.ReferenceOrderedDatum; import org.broadinstitute.sting.gatk.refdata.ReferenceOrderedData; import org.broadinstitute.sting.gatk.Reads; import org.broadinstitute.sting.utils.GenomeLocSortedSet; import java.io.File; import java.util.List; /** A micro-scheduling manager for single-threaded execution of a traversal. */ public class LinearMicroScheduler extends MicroScheduler { /** * Create a new linear microscheduler to process the given reads and reference. * * @param reads Reads file(s) to process. * @param refFile Reference for driving the traversal. */ protected LinearMicroScheduler( Walker walker, Reads reads, File refFile, List> rods ) { super(walker, reads, refFile, rods); } /** * Run this traversal over the specified subsection of the dataset. * * @param walker Computation to perform over dataset. * @param locations Subset of the dataset over which to walk. * @param maxIterations the maximum number of iterations we're to perform */ public Object execute(Walker walker, GenomeLocSortedSet locations, Integer maxIterations) { ShardStrategy shardStrategy = getShardStrategy(walker, reference, locations, maxIterations); walker.initialize(); Accumulator accumulator = Accumulator.create(walker); for (Shard shard : shardStrategy) { ShardDataProvider dataProvider = getShardDataProvider( shard ); Object result = traversalEngine.traverse(walker, shard, dataProvider, accumulator.getReduceInit()); accumulator.accumulate( shard, result ); dataProvider.close(); } Object result = accumulator.finishTraversal(); printOnTraversalDone(result); return accumulator; } }