com.moz.fiji.mapreduce.lib.reduce.TestNodeReducer.java Source code

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Here is the source code for com.moz.fiji.mapreduce.lib.reduce.TestNodeReducer.java

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/**
 * (c) Copyright 2013 WibiData, Inc.
 *
 * See the NOTICE file distributed with this work for additional
 * information regarding copyright ownership.
 *
 * 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.moz.fiji.mapreduce.lib.reduce;

import static org.junit.Assert.assertEquals;

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

import org.apache.avro.hadoop.io.AvroSerialization;
import org.apache.avro.mapred.AvroKey;
import org.apache.avro.mapred.AvroValue;
import org.apache.avro.mapreduce.AvroJob;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mrunit.mapreduce.ReduceDriver;
import org.apache.hadoop.mrunit.types.Pair;
import org.junit.Test;

import com.moz.fiji.mapreduce.lib.avro.Node;
import com.moz.fiji.mapreduce.lib.graph.NodeBuilder;

public class TestNodeReducer {
    public static class MyNodeReducer extends NodeReducer<Text> {
        @Override
        public void reduceNodes(Text key, Iterable<Node> values, Context context)
                throws IOException, InterruptedException {
            for (Node node : values) {
                write(node, context);
            }
        }
    }

    @Test
    public void testMapReduce() throws IOException {
        MyNodeReducer reducer = new MyNodeReducer();

        // Configure a job.
        Job job = new Job();
        // We've got to do a little hacking here since mrunit doesn't run exactly like
        // the real hadoop mapreduce framework.
        AvroJob.setMapOutputKeySchema(job, Node.SCHEMA$);
        AvroJob.setOutputKeySchema(job, reducer.getAvroKeyWriterSchema());
        AvroSerialization.setValueWriterSchema(job.getConfiguration(), Node.SCHEMA$);

        ReduceDriver<Text, AvroValue<Node>, AvroKey<Node>, NullWritable> driver = new ReduceDriver<Text, AvroValue<Node>, AvroKey<Node>, NullWritable>();
        driver.setReducer(reducer);
        driver.withConfiguration(job.getConfiguration());
        driver.withInput(new Text("foo"),
                Collections.singletonList(new AvroValue<Node>(new NodeBuilder("bar", 1.0).build())));
        List<Pair<AvroKey<Node>, NullWritable>> output = driver.run();
        assertEquals(1, output.size());
        assertEquals("bar", output.get(0).getFirst().datum().getLabel().toString());
    }
}