com.ibm.bi.dml.runtime.controlprogram.parfor.RemoteDPParForSpark.java Source code

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Here is the source code for com.ibm.bi.dml.runtime.controlprogram.parfor.RemoteDPParForSpark.java

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/**
 * (C) Copyright IBM Corp. 2010, 2015
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * 
*/

package com.ibm.bi.dml.runtime.controlprogram.parfor;

import java.util.List;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.Accumulator;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;

import scala.Tuple2;

import com.ibm.bi.dml.api.DMLScript;
import com.ibm.bi.dml.runtime.DMLRuntimeException;
import com.ibm.bi.dml.runtime.DMLUnsupportedOperationException;
import com.ibm.bi.dml.runtime.controlprogram.LocalVariableMap;
import com.ibm.bi.dml.runtime.controlprogram.ParForProgramBlock.PDataPartitionFormat;
import com.ibm.bi.dml.runtime.controlprogram.caching.MatrixObject;
import com.ibm.bi.dml.runtime.controlprogram.context.ExecutionContext;
import com.ibm.bi.dml.runtime.controlprogram.context.SparkExecutionContext;
import com.ibm.bi.dml.runtime.matrix.MatrixCharacteristics;
import com.ibm.bi.dml.runtime.matrix.MatrixDimensionsMetaData;
import com.ibm.bi.dml.runtime.matrix.data.InputInfo;
import com.ibm.bi.dml.runtime.matrix.data.MatrixBlock;
import com.ibm.bi.dml.runtime.matrix.data.MatrixIndexes;
import com.ibm.bi.dml.runtime.matrix.data.OutputInfo;
import com.ibm.bi.dml.utils.Statistics;

/**
 * TODO robustness on failures (cleanup files)
 * TODO heavy hitter maintenance
 * TODO data partitioning with binarycell
 *
 */
public class RemoteDPParForSpark {

    protected static final Log LOG = LogFactory.getLog(RemoteDPParForSpark.class.getName());

    /**
     * 
     * @param pfid
     * @param program
     * @param taskFile
     * @param resultFile
     * @param enableCPCaching 
     * @param mode
     * @param numMappers
     * @param replication
     * @return
     * @throws DMLRuntimeException
     * @throws DMLUnsupportedOperationException 
     */
    public static RemoteParForJobReturn runJob(long pfid, String itervar, String matrixvar, String program,
            String resultFile, MatrixObject input, ExecutionContext ec, PDataPartitionFormat dpf, OutputInfo oi,
            boolean tSparseCol, //config params
            boolean enableCPCaching, int numReducers) //opt params
            throws DMLRuntimeException, DMLUnsupportedOperationException {
        String jobname = "ParFor-DPESP";
        long t0 = DMLScript.STATISTICS ? System.nanoTime() : 0;

        SparkExecutionContext sec = (SparkExecutionContext) ec;
        JavaSparkContext sc = sec.getSparkContext();

        //prepare input parameters
        MatrixDimensionsMetaData md = (MatrixDimensionsMetaData) input.getMetaData();
        MatrixCharacteristics mc = md.getMatrixCharacteristics();
        InputInfo ii = InputInfo.BinaryBlockInputInfo;

        //initialize accumulators for tasks/iterations
        Accumulator<Integer> aTasks = sc.accumulator(0);
        Accumulator<Integer> aIters = sc.accumulator(0);

        JavaPairRDD<MatrixIndexes, MatrixBlock> in = sec.getBinaryBlockRDDHandleForVariable(matrixvar);
        DataPartitionerRemoteSparkMapper dpfun = new DataPartitionerRemoteSparkMapper(mc, ii, oi, dpf);
        RemoteDPParForSparkWorker efun = new RemoteDPParForSparkWorker(program, matrixvar, itervar, enableCPCaching,
                mc, tSparseCol, dpf, oi, aTasks, aIters);
        List<Tuple2<Long, String>> out = in.flatMapToPair(dpfun) //partition the input blocks
                .groupByKey(numReducers) //group partition blocks                 
                .mapPartitionsToPair(efun) //execute parfor tasks, incl cleanup
                .collect(); //get output handles

        //de-serialize results
        LocalVariableMap[] results = RemoteParForUtils.getResults(out, LOG);
        int numTasks = aTasks.value(); //get accumulator value
        int numIters = aIters.value(); //get accumulator value

        //create output symbol table entries
        RemoteParForJobReturn ret = new RemoteParForJobReturn(true, numTasks, numIters, results);

        //maintain statistics
        Statistics.incrementNoOfCompiledSPInst();
        Statistics.incrementNoOfExecutedSPInst();
        if (DMLScript.STATISTICS) {
            Statistics.maintainCPHeavyHitters(jobname, System.nanoTime() - t0);
        }

        return ret;
    }
}