com.tdunning.plume.local.lazy.MapRedFlattenTest.java Source code

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Here is the source code for com.tdunning.plume.local.lazy.MapRedFlattenTest.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 com.tdunning.plume.local.lazy;

import static com.tdunning.plume.Plume.collectionOf;
import static com.tdunning.plume.Plume.tableOf;
import static com.tdunning.plume.Plume.strings;
import static com.tdunning.plume.Plume.integers;

import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Date;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.junit.Ignore;
import org.junit.Test;

import com.google.common.io.Resources;
import com.tdunning.plume.DoFn;
import com.tdunning.plume.EmitFn;
import com.tdunning.plume.PCollection;
import com.tdunning.plume.Pair;

/**
 * This tests shows how two different MSCRS are executed sequentially: one from a single {@link Flatten} operation and another one
 * with three {@link GroupByKey} that is dependent on the first one.
 *
 */
public class MapRedFlattenTest extends BaseTestClass {

    static String inputPathEvent2 = "/tmp/input-event2.txt";
    static String inputPathLogFile = "/tmp/input-logfile.txt";

    public static class MapRedFlattenTestWorkflow extends PlumeWorkflow {

        @SuppressWarnings({ "unchecked", "rawtypes" })
        @Override
        public void build() {
            init();

            LazyPlume plume = new LazyPlume();
            // Get input files
            PCollection inputEvent2, inputLogFile;
            try {
                inputEvent2 = plume.readFile(inputPathEvent2, collectionOf(strings()));
                inputLogFile = plume.readFile(inputPathLogFile, collectionOf(strings()));
                // Add as inputs
                addInput(inputEvent2);
                addInput(inputLogFile);
            } catch (IOException e) {
                throw new RuntimeException();
            }

            /**
             * We use flatten to aggregate one log file we have with a list of users that used one new event.
             * The list of users is converted to the log format before flattening by adding a date and a event name.
             */
            PCollection aggregateLog = plume.flatten(inputLogFile, inputEvent2.map(new DoFn<Text, Text>() {
                @Override
                public void process(Text v, EmitFn emitter) {
                    emitter.emit(new Text(new SimpleDateFormat("yyyy/MM/dd").format(new Date()) + "\t" + "new_event"
                            + "\t" + v.toString()));
                }
            }, collectionOf(strings())));

            /**
             * We use the aggregate log to calculate a map of [date, user] -> #clicks
             */
            PCollection dateUserClicks = aggregateLog.map(new DoFn<Text, Pair>() {
                @Override
                public void process(Text v, EmitFn<Pair> emitter) {
                    String[] splittedLine = v.toString().split("\t");
                    Text dateUser = new Text(splittedLine[0] + "\t" + splittedLine[2]);
                    emitter.emit(Pair.create(dateUser, new IntWritable(1)));
                }
            }, tableOf(strings(), integers())).groupByKey().combine(countCombiner).map(countReduceToText,
                    tableOf(strings(), strings()));

            /**
             * We use the aggregate log to calculate a map of [date] -> #clicks
             */
            PCollection dateClicks = aggregateLog.map(new DoFn<Text, Pair>() {
                @Override
                public void process(Text v, EmitFn<Pair> emitter) {
                    String[] splittedLine = v.toString().split("\t");
                    emitter.emit(Pair.create(new Text(splittedLine[0]), new IntWritable(1)));
                }
            }, tableOf(strings(), integers())).groupByKey().combine(countCombiner).map(countReduceToText,
                    tableOf(strings(), strings()));

            /**
             * We use the aggregate log to calculate a list of uniq users
             */
            PCollection uniqUsers = aggregateLog.map(new DoFn<Text, Pair>() {
                @Override
                public void process(Text v, EmitFn<Pair> emitter) {
                    String[] splittedLine = v.toString().split("\t");
                    emitter.emit(Pair.create(new Text(splittedLine[2]), new Text("")));
                }
            }, tableOf(strings(), strings())).groupByKey().map(new DoFn<Pair, Text>() { // Reduce - just emit the key
                @Override
                public void process(Pair v, EmitFn<Text> emitter) {
                    emitter.emit((Text) v.getKey());
                }
            }, collectionOf(strings()));

            addOutput(dateUserClicks);
            addOutput(dateClicks);
            addOutput(uniqUsers);
        }
    }

    @Test
    public void test() throws Exception {
        String outputPath = "/tmp/output-plume-flattentest";
        // Prepare input for test
        FileSystem system = FileSystem.getLocal(new Configuration());
        system.copyFromLocalFile(new Path(Resources.getResource("event2users.txt").getPath()),
                new Path(inputPathEvent2));
        system.copyFromLocalFile(new Path(Resources.getResource("eventslog.txt").getPath()),
                new Path(inputPathLogFile));
        // Prepare output for test
        system.delete(new Path(outputPath), true);
        // Prepare workflow
        MapRedFlattenTestWorkflow workFlow = new MapRedFlattenTestWorkflow();
        // Execute it
        MapRedExecutor executor = new MapRedExecutor();
        executor.execute(workFlow, outputPath);
    }
}