com.ikanow.aleph2.analytics.spark.assets.BeFileInputFormat_Pure.java Source code

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Here is the source code for com.ikanow.aleph2.analytics.spark.assets.BeFileInputFormat_Pure.java

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/*******************************************************************************
 * Copyright 2015, The IKANOW Open Source Project.
 *
 * 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.ikanow.aleph2.analytics.spark.assets;

import java.io.IOException;
import java.util.Collections;
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.CombineFileInputFormat;
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.analytics.hadoop.assets.BeFileInputReader;
import com.ikanow.aleph2.analytics.hadoop.utils.HadoopBatchEnrichmentUtils;
import com.ikanow.aleph2.data_model.interfaces.data_analytics.IBatchRecord;
import com.ikanow.aleph2.data_model.utils.ErrorUtils;
import com.ikanow.aleph2.data_model.utils.Lambdas;

import java.util.Arrays;

/** The file input format specific to batch enrichment modules - uses the default Hadoop CombineFileInputFormat
 *  for cases when the Hadoop version of google.commons.base.Stopwatch is first on the classpath!
 *  OTHERWISE IDENTICAL TO BeFileInputForm in hadoop_analytic_services
 * @author jfreydank
 */
public class BeFileInputFormat_Pure extends CombineFileInputFormat<String, Tuple2<Long, IBatchRecord>> {
    private static final Logger logger = LogManager.getLogger(BeFileInputFormat_Pure.class);

    /** User c'tor
     */
    public BeFileInputFormat_Pure() {
        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();
        // (don't initialize - that gets called seperately by the interface)
        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(HadoopBatchEnrichmentUtils.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(ErrorUtils.getLongForm("Error getting splits, error = {0}", t));

            return Collections.emptyList();
        }
    }
}