org.apache.jena.tdbloader4.Utils.java Source code

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Here is the source code for org.apache.jena.tdbloader4.Utils.java

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/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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 org.apache.jena.tdbloader4;

import java.io.StringWriter;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.jena.tdbloader4.io.MapReduceLabelToNode;
import org.apache.jena.tdbloader4.partitioners.TotalOrderPartitioner;
import org.openjena.atlas.lib.Hex;
import org.openjena.riot.ErrorHandlerFactory;
import org.openjena.riot.lang.LabelToNode;
import org.openjena.riot.out.NodeToLabel;
import org.openjena.riot.out.OutputLangUtils;
import org.openjena.riot.system.IRIResolver;
import org.openjena.riot.system.ParserProfile;
import org.openjena.riot.system.ParserProfileBase;
import org.openjena.riot.system.Prologue;
import org.slf4j.Logger;

import com.hp.hpl.jena.graph.Node;

public class Utils {

    public static String toString(String[] args) {
        StringBuffer sb = new StringBuffer();
        sb.append("{");
        for (String arg : args)
            sb.append(arg).append(", ");
        if (sb.length() > 2)
            sb.delete(sb.length() - 2, sb.length());
        sb.append("}");
        return sb.toString();
    }

    public static final NodeToLabel nodeToLabel = NodeToLabel.createBNodeByLabelAsGiven();

    public static String serialize(Node node) {
        StringWriter out = new StringWriter();
        OutputLangUtils.output(out, node, null, nodeToLabel);
        return out.toString();
    }

    public static ParserProfile createParserProfile(JobContext context, Path path) {
        Prologue prologue = new Prologue(null, IRIResolver.createNoResolve());
        LabelToNode labelMapping = new MapReduceLabelToNode(context, path);
        return new ParserProfileBase(prologue, ErrorHandlerFactory.errorHandlerStd, labelMapping);
    }

    public static byte[] toHex(long id) {
        byte[] b = new byte[16];
        Hex.formatUnsignedLongHex(b, 0, id, 16);
        return b;
    }

    public static void setReducers(Job job, Configuration configuration, Logger log) {
        boolean runLocal = configuration.getBoolean(Constants.OPTION_RUN_LOCAL, Constants.OPTION_RUN_LOCAL_DEFAULT);
        int num_reducers = configuration.getInt(Constants.OPTION_NUM_REDUCERS,
                Constants.OPTION_NUM_REDUCERS_DEFAULT);

        // TODO: should we comment this out and let Hadoop decide the number of reducers?
        if (runLocal) {
            if (log != null)
                log.debug("Setting number of reducers to {}", 1);
            job.setNumReduceTasks(1);
        } else {
            if (Constants.NAME_FOURTH.equals(job.getJobName())) {
                job.setPartitionerClass(TotalOrderPartitioner.class);
                num_reducers = 9 * num_reducers;
            }
            job.setNumReduceTasks(num_reducers);
            if (log != null)
                log.debug("Setting number of reducers to {}", num_reducers);
        }
    }

    public static void log(Job job, Logger log) throws ClassNotFoundException {
        log.debug("{} -> {} ({}, {}) -> {}#{} ({}, {}) -> {}",
                new Object[] { job.getInputFormatClass().getSimpleName(), job.getMapperClass().getSimpleName(),
                        job.getMapOutputKeyClass().getSimpleName(), job.getMapOutputValueClass().getSimpleName(),
                        job.getReducerClass().getSimpleName(), job.getNumReduceTasks(),
                        job.getOutputKeyClass().getSimpleName(), job.getOutputValueClass().getSimpleName(),
                        job.getOutputFormatClass().getSimpleName() });
        Path[] inputs = FileInputFormat.getInputPaths(job);
        Path output = FileOutputFormat.getOutputPath(job);
        log.debug("input: {}", inputs[0]);
        log.debug("output: {}", output);
    }

}