org.apache.hadoop.hbase.mapreduce.TestMultithreadedTableMapper.java Source code

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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.hadoop.hbase.mapreduce;

import java.io.File;
import java.io.IOException;
import java.util.Iterator;
import java.util.Map;
import java.util.NavigableMap;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileUtil;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.experimental.categories.Category;

import static org.junit.Assert.fail;
import static org.junit.Assert.assertTrue;

/**
 * Test Map/Reduce job over HBase tables. The map/reduce process we're testing
 * on our tables is simple - take every row in the table, reverse the value of
 * a particular cell, and write it back to the table.
 */
@Category(LargeTests.class)
public class TestMultithreadedTableMapper {
    private static final Log LOG = LogFactory.getLog(TestMultithreadedTableMapper.class);
    private static final HBaseTestingUtility UTIL = new HBaseTestingUtility();
    static final byte[] MULTI_REGION_TABLE_NAME = Bytes.toBytes("mrtest");
    static final byte[] INPUT_FAMILY = Bytes.toBytes("contents");
    static final byte[] OUTPUT_FAMILY = Bytes.toBytes("text");
    static final int NUMBER_OF_THREADS = 10;

    @BeforeClass
    public static void beforeClass() throws Exception {
        UTIL.startMiniCluster();
        HTable table = UTIL.createTable(MULTI_REGION_TABLE_NAME, new byte[][] { INPUT_FAMILY, OUTPUT_FAMILY });
        UTIL.createMultiRegions(table, INPUT_FAMILY);
        UTIL.loadTable(table, INPUT_FAMILY, false);
        UTIL.startMiniMapReduceCluster();
    }

    @AfterClass
    public static void afterClass() throws Exception {
        UTIL.shutdownMiniMapReduceCluster();
        UTIL.shutdownMiniCluster();
    }

    /**
     * Pass the given key and processed record reduce
     */
    public static class ProcessContentsMapper extends TableMapper<ImmutableBytesWritable, Put> {

        /**
         * Pass the key, and reversed value to reduce
         *
         * @param key
         * @param value
         * @param context
         * @throws IOException
         */
        public void map(ImmutableBytesWritable key, Result value, Context context)
                throws IOException, InterruptedException {
            if (value.size() != 1) {
                throw new IOException("There should only be one input column");
            }
            Map<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> cf = value.getMap();
            if (!cf.containsKey(INPUT_FAMILY)) {
                throw new IOException("Wrong input columns. Missing: '" + Bytes.toString(INPUT_FAMILY) + "'.");
            }
            // Get the original value and reverse it
            String originalValue = Bytes.toString(value.getValue(INPUT_FAMILY, null));
            StringBuilder newValue = new StringBuilder(originalValue);
            newValue.reverse();
            // Now set the value to be collected
            Put outval = new Put(key.get());
            outval.add(OUTPUT_FAMILY, null, Bytes.toBytes(newValue.toString()));
            context.write(key, outval);
        }
    }

    /**
     * Test multithreadedTableMappper map/reduce against a multi-region table
     * @throws IOException
     * @throws ClassNotFoundException
     * @throws InterruptedException
     */
    @Test
    public void testMultithreadedTableMapper() throws IOException, InterruptedException, ClassNotFoundException {
        runTestOnTable(new HTable(new Configuration(UTIL.getConfiguration()), MULTI_REGION_TABLE_NAME));
    }

    private void runTestOnTable(HTable table) throws IOException, InterruptedException, ClassNotFoundException {
        Job job = null;
        try {
            LOG.info("Before map/reduce startup");
            job = new Job(table.getConfiguration(), "process column contents");
            job.setNumReduceTasks(1);
            Scan scan = new Scan();
            scan.addFamily(INPUT_FAMILY);
            TableMapReduceUtil.initTableMapperJob(Bytes.toString(table.getTableName()), scan,
                    MultithreadedTableMapper.class, ImmutableBytesWritable.class, Put.class, job);
            MultithreadedTableMapper.setMapperClass(job, ProcessContentsMapper.class);
            MultithreadedTableMapper.setNumberOfThreads(job, NUMBER_OF_THREADS);
            TableMapReduceUtil.initTableReducerJob(Bytes.toString(table.getTableName()), IdentityTableReducer.class,
                    job);
            FileOutputFormat.setOutputPath(job, new Path("test"));
            LOG.info("Started " + Bytes.toString(table.getTableName()));
            assertTrue(job.waitForCompletion(true));
            LOG.info("After map/reduce completion");
            // verify map-reduce results
            verify(Bytes.toString(table.getTableName()));
        } finally {
            table.close();
            if (job != null) {
                FileUtil.fullyDelete(new File(job.getConfiguration().get("hadoop.tmp.dir")));
            }
        }
    }

    private void verify(String tableName) throws IOException {
        HTable table = new HTable(new Configuration(UTIL.getConfiguration()), tableName);
        boolean verified = false;
        long pause = UTIL.getConfiguration().getLong("hbase.client.pause", 5 * 1000);
        int numRetries = UTIL.getConfiguration().getInt(HConstants.HBASE_CLIENT_RETRIES_NUMBER, 5);
        for (int i = 0; i < numRetries; i++) {
            try {
                LOG.info("Verification attempt #" + i);
                verifyAttempt(table);
                verified = true;
                break;
            } catch (NullPointerException e) {
                // If here, a cell was empty.  Presume its because updates came in
                // after the scanner had been opened.  Wait a while and retry.
                LOG.debug("Verification attempt failed: " + e.getMessage());
            }
            try {
                Thread.sleep(pause);
            } catch (InterruptedException e) {
                // continue
            }
        }
        assertTrue(verified);
        table.close();
    }

    /**
     * Looks at every value of the mapreduce output and verifies that indeed
     * the values have been reversed.
     *
     * @param table Table to scan.
     * @throws IOException
     * @throws NullPointerException if we failed to find a cell value
     */
    private void verifyAttempt(final HTable table) throws IOException, NullPointerException {
        Scan scan = new Scan();
        scan.addFamily(INPUT_FAMILY);
        scan.addFamily(OUTPUT_FAMILY);
        ResultScanner scanner = table.getScanner(scan);
        try {
            Iterator<Result> itr = scanner.iterator();
            assertTrue(itr.hasNext());
            while (itr.hasNext()) {
                Result r = itr.next();
                if (LOG.isDebugEnabled()) {
                    if (r.size() > 2) {
                        throw new IOException("Too many results, expected 2 got " + r.size());
                    }
                }
                byte[] firstValue = null;
                byte[] secondValue = null;
                int count = 0;
                for (Cell kv : r.listCells()) {
                    if (count == 0) {
                        firstValue = CellUtil.cloneValue(kv);
                    } else if (count == 1) {
                        secondValue = CellUtil.cloneValue(kv);
                    } else if (count == 2) {
                        break;
                    }
                    count++;
                }
                String first = "";
                if (firstValue == null) {
                    throw new NullPointerException(Bytes.toString(r.getRow()) + ": first value is null");
                }
                first = Bytes.toString(firstValue);
                String second = "";
                if (secondValue == null) {
                    throw new NullPointerException(Bytes.toString(r.getRow()) + ": second value is null");
                }
                byte[] secondReversed = new byte[secondValue.length];
                for (int i = 0, j = secondValue.length - 1; j >= 0; j--, i++) {
                    secondReversed[i] = secondValue[j];
                }
                second = Bytes.toString(secondReversed);
                if (first.compareTo(second) != 0) {
                    if (LOG.isDebugEnabled()) {
                        LOG.debug("second key is not the reverse of first. row=" + Bytes.toStringBinary(r.getRow())
                                + ", first value=" + first + ", second value=" + second);
                    }
                    fail();
                }
            }
        } finally {
            scanner.close();
        }
    }

}