com.datasalt.pangool.tuplemr.mapred.TestForProfiling.java Source code

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/**
 * Copyright [2012] [Datasalt Systems S.L.]
 *
 * 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.datasalt.pangool.tuplemr.mapred;

import com.datasalt.pangool.BaseTest;
import com.datasalt.pangool.io.ITuple;
import com.datasalt.pangool.io.Schema;
import com.datasalt.pangool.io.Tuple;
import com.datasalt.pangool.tuplemr.IdentityTupleMapper;
import com.datasalt.pangool.tuplemr.IdentityTupleReducer;
import com.datasalt.pangool.tuplemr.TupleMRBuilder;
import com.datasalt.pangool.tuplemr.TupleMRException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.Job;
import org.junit.Ignore;
import org.junit.Test;

import java.io.IOException;
import java.io.Serializable;

/**
 * Unit tests useful to profile Pangool. Desactivated by default.
 */
public class TestForProfiling extends BaseTest implements Serializable {

    int NUM_ROWS_TO_GENERATE = 30000;

    public void runningIdentityJob(boolean withNulls)
            throws IOException, ClassNotFoundException, InterruptedException, TupleMRException {

        Configuration conf = getConf();
        String input = TestTupleMRJob.class + "-input";
        String output = TestTupleMRJob.class + "-output";

        Schema schema = SCHEMA;
        if (withNulls) {
            decorateWithNullables(schema);
        }

        ITuple tuple = new Tuple(schema);
        for (int i = 0; i < NUM_ROWS_TO_GENERATE; i++) {
            withTupleInput(input, fillTuple(true, tuple));
        }

        TupleMRBuilder builder = new TupleMRBuilder(getConf(), "test");
        builder.addTupleInput(new Path(input), new IdentityTupleMapper());
        builder.setTupleReducer(new IdentityTupleReducer());
        builder.addIntermediateSchema(schema);
        builder.setGroupByFields(schema.getField(0).getName());
        builder.setTupleOutput(new Path(output), schema);

        Job job = builder.createJob();
        try {
            job.setNumReduceTasks(1);
            assertRun(job);
        } finally {
            builder.cleanUpInstanceFiles();
        }
        trash(input);
        trash(output);
    }

    @Test
    @Ignore
    public void runninIdentityJobWithNulls()
            throws IOException, TupleMRException, ClassNotFoundException, InterruptedException {
        runningIdentityJob(true);
    }

    @Test
    @Ignore
    public void runninIdentityJobNoNulls()
            throws IOException, TupleMRException, ClassNotFoundException, InterruptedException {
        runningIdentityJob(false);
    }
}