com.ikanow.aleph2.analytics.hadoop.assets.BeFileInputFormat.java Source code

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Here is the source code for com.ikanow.aleph2.analytics.hadoop.assets.BeFileInputFormat.java

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/*******************************************************************************
* Copyright 2015, The IKANOW Open Source Project.
* 
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License, version 3,
* as published by the Free Software Foundation.
* 
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
* 
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
******************************************************************************/
package com.ikanow.aleph2.analytics.hadoop.assets;

import java.io.IOException;
import java.util.List;

import org.apache.commons.lang.ArrayUtils;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

import scala.Tuple2;

import com.ikanow.aleph2.data_model.interfaces.data_analytics.IBatchRecord;
import com.ikanow.aleph2.data_model.utils.Lambdas;

import java.util.Arrays;

/** The file input format specific to batch enrichment modules
 * @author jfreydank
 */
public class BeFileInputFormat extends UpdatedCombineFileInputFormat<String, Tuple2<Long, IBatchRecord>> {
    private static final Logger logger = LogManager.getLogger(BeFileInputFormat.class);

    /** User c'tor
     */
    public BeFileInputFormat() {
        super();
        logger.debug("BeFileInputFormat.constructor");
    }

    /* (non-Javadoc)
     * @see org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat#isSplitable(org.apache.hadoop.mapreduce.JobContext, org.apache.hadoop.fs.Path)
     */
    @Override
    protected boolean isSplitable(JobContext context, Path file) {
        logger.debug("BeFileInputFormat.isSplitable");
        return false;
    }

    /* (non-Javadoc)
     * @see org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat#createRecordReader(org.apache.hadoop.mapreduce.InputSplit, org.apache.hadoop.mapreduce.TaskAttemptContext)
     */
    @Override
    public RecordReader<String, Tuple2<Long, IBatchRecord>> createRecordReader(InputSplit inputSplit,
            TaskAttemptContext context) throws IOException {
        logger.debug("BeFileInputFormat.createRecordReader");
        BeFileInputReader reader = new BeFileInputReader();
        try {
            reader.initialize(inputSplit, context);
        } catch (InterruptedException e) {
            throw new IOException(e);
        }
        return reader;
    } // createRecordReader

    //(should make this configurable)
    public static long MAX_SPLIT_SIZE = 64L * 1024L * 1024L;

    /* (non-Javadoc)
     * @see org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat#getSplits(org.apache.hadoop.mapreduce.JobContext)
     */
    @Override
    public List<InputSplit> getSplits(JobContext context) throws IOException {
        logger.debug("BeFileInputFormat.getSplits");

        super.setMaxSplitSize(MAX_SPLIT_SIZE);

        try {
            final List<InputSplit> splits = Lambdas.get(Lambdas.wrap_u(() -> {
                final List<InputSplit> tmp = super.getSplits(context);

                String debug_max_str = context.getConfiguration().get(BatchEnrichmentJob.BE_DEBUG_MAX_SIZE);
                if (null != debug_max_str) {
                    final int requested_records = Integer.parseInt(debug_max_str);

                    // dump 5* the request number of splits into one mega split
                    // to strike a balance between limiting the data and making sure for 
                    // tests that enough records are generated

                    final CombineFileSplit combined = new CombineFileSplit(
                            tmp.stream().map(split -> (CombineFileSplit) split)
                                    .flatMap(split -> Arrays.stream(split.getPaths())).limit(5L * requested_records)
                                    .<Path>toArray(size -> new Path[size]),
                            ArrayUtils.toPrimitive(
                                    tmp.stream().map(split -> (CombineFileSplit) split)
                                            .flatMap(split -> Arrays.stream(split.getStartOffsets()).boxed())
                                            .limit(5L * requested_records).<Long>toArray(size -> new Long[size]),
                                    0L),
                            ArrayUtils.toPrimitive(
                                    tmp.stream().map(split -> (CombineFileSplit) split)
                                            .flatMap(split -> Arrays.stream(split.getLengths()).boxed())
                                            .limit(5L * requested_records).<Long>toArray(size -> new Long[size]),
                                    0L),
                            tmp.stream().map(split -> (CombineFileSplit) split)
                                    .flatMap(Lambdas.wrap_u(split -> Arrays.stream(split.getLocations())))
                                    .limit(5L * requested_records).<String>toArray(size -> new String[size]));
                    return Arrays.<InputSplit>asList(combined);
                } else
                    return tmp;
            }));

            logger.debug("BeFileInputFormat.getSplits: " + ((splits != null) ? splits.size() : "null"));
            return splits;

        } catch (Throwable t) {
            logger.error(t);
            throw new IOException(t);
        }
    }
}