/*
 * 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 static org.junit.Assert.assertEquals;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.atomic.AtomicLong;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HBaseTestingUtility;
import org.apache.hadoop.hbase.IntegrationTestBase;
import org.apache.hadoop.hbase.IntegrationTestingUtility;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Consistency;
import org.apache.hadoop.hbase.client.RegionLocator;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.client.TableDescriptor;
import org.apache.hadoop.hbase.client.TableDescriptorBuilder;
import org.apache.hadoop.hbase.coprocessor.ObserverContext;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessor;
import org.apache.hadoop.hbase.coprocessor.RegionCoprocessorEnvironment;
import org.apache.hadoop.hbase.coprocessor.RegionObserver;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.regionserver.InternalScanner;
import org.apache.hadoop.hbase.testclassification.IntegrationTests;
import org.apache.hadoop.hbase.tool.LoadIncrementalHFiles;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.util.EnvironmentEdgeManager;
import org.apache.hadoop.hbase.util.RegionSplitter;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.WritableComparator;
import org.apache.hadoop.io.WritableUtils;
import org.apache.hadoop.mapreduce.InputFormat;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.StringUtils;
import org.apache.hadoop.util.ToolRunner;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import org.apache.hbase.thirdparty.com.google.common.base.Joiner;
import org.apache.hbase.thirdparty.com.google.common.collect.Sets;
import org.apache.hbase.thirdparty.org.apache.commons.cli.CommandLine;

/**
 * Test Bulk Load and MR on a distributed cluster. It starts an MR job that creates linked chains
 * The format of rows is like this: Row Key -> Long L:<< Chain Id >> -> Row Key of the next link in
 * the chain S:<< Chain Id >> -> The step in the chain that his link is. D:<< Chain Id >> -> Random
 * Data. All chains start on row 0. All rk's are > 0. After creating the linked lists they are
 * walked over using a TableMapper based Mapreduce Job. There are a few options exposed:
 * hbase.IntegrationTestBulkLoad.chainLength The number of rows that will be part of each and every
 * chain. hbase.IntegrationTestBulkLoad.numMaps The number of mappers that will be run. Each mapper
 * creates on linked list chain. hbase.IntegrationTestBulkLoad.numImportRounds How many jobs will be
 * run to create linked lists. hbase.IntegrationTestBulkLoad.tableName The name of the table.
 * hbase.IntegrationTestBulkLoad.replicaCount How many region replicas to configure for the table
 * under test.
 */
@Category(IntegrationTests.class)
public class IntegrationTestBulkLoad extends IntegrationTestBase {

  private static final Logger LOG = LoggerFactory.getLogger(IntegrationTestBulkLoad.class);

  private static final byte[] CHAIN_FAM = Bytes.toBytes("L");
  private static final byte[] SORT_FAM = Bytes.toBytes("S");
  private static final byte[] DATA_FAM = Bytes.toBytes("D");

  private static String CHAIN_LENGTH_KEY = "hbase.IntegrationTestBulkLoad.chainLength";
  private static int CHAIN_LENGTH = 500000;

  private static String NUM_MAPS_KEY = "hbase.IntegrationTestBulkLoad.numMaps";
  private static int NUM_MAPS = 1;

  private static String NUM_IMPORT_ROUNDS_KEY = "hbase.IntegrationTestBulkLoad.numImportRounds";
  private static int NUM_IMPORT_ROUNDS = 1;

  private static String ROUND_NUM_KEY = "hbase.IntegrationTestBulkLoad.roundNum";

  private static String TABLE_NAME_KEY = "hbase.IntegrationTestBulkLoad.tableName";
  private static String TABLE_NAME = "IntegrationTestBulkLoad";

  private static String NUM_REPLICA_COUNT_KEY = "hbase.IntegrationTestBulkLoad.replicaCount";
  private static int NUM_REPLICA_COUNT_DEFAULT = 1;

  private static final String OPT_LOAD = "load";
  private static final String OPT_CHECK = "check";

  private boolean load = false;
  private boolean check = false;

  public static class SlowMeCoproScanOperations implements RegionCoprocessor, RegionObserver {
    static final AtomicLong sleepTime = new AtomicLong(2000);
    AtomicLong countOfNext = new AtomicLong(0);
    AtomicLong countOfOpen = new AtomicLong(0);

    public SlowMeCoproScanOperations() {
    }

    @Override
    public Optional<RegionObserver> getRegionObserver() {
      return Optional.of(this);
    }

    @Override
    public void preScannerOpen(final ObserverContext<RegionCoprocessorEnvironment> e,
      final Scan scan) throws IOException {
      if (countOfOpen.incrementAndGet() == 2) { // slowdown openScanner randomly
        slowdownCode(e);
      }
    }

    @Override
    public boolean preScannerNext(final ObserverContext<RegionCoprocessorEnvironment> e,
      final InternalScanner s, final List<Result> results, final int limit, final boolean hasMore)
      throws IOException {
      // this will slow down a certain next operation if the conditions are met. The slowness
      // will allow the call to go to a replica
      countOfNext.incrementAndGet();
      if (countOfNext.get() == 0 || countOfNext.get() == 4) {
        slowdownCode(e);
      }
      return true;
    }

    protected void slowdownCode(final ObserverContext<RegionCoprocessorEnvironment> e) {
      if (e.getEnvironment().getRegion().getRegionInfo().getReplicaId() == 0) {
        try {
          if (sleepTime.get() > 0) {
            LOG.info("Sleeping for " + sleepTime.get() + " ms");
            Thread.sleep(sleepTime.get());
          }
        } catch (InterruptedException e1) {
          LOG.error(e1.toString(), e1);
        }
      }
    }
  }

  /**
   * Modify table {@code getTableName()} to carry {@link SlowMeCoproScanOperations}.
   */
  private void installSlowingCoproc() throws IOException, InterruptedException {
    int replicaCount = conf.getInt(NUM_REPLICA_COUNT_KEY, NUM_REPLICA_COUNT_DEFAULT);
    if (replicaCount == NUM_REPLICA_COUNT_DEFAULT) return;

    TableName t = getTablename();
    Admin admin = util.getAdmin();
    TableDescriptor desc = admin.getDescriptor(t);
    TableDescriptorBuilder builder = TableDescriptorBuilder.newBuilder(desc);
    builder.setCoprocessor(SlowMeCoproScanOperations.class.getName());
    HBaseTestingUtility.modifyTableSync(admin, builder.build());
  }

  @Test
  public void testBulkLoad() throws Exception {
    runLoad();
    installSlowingCoproc();
    runCheckWithRetry();
  }

  public void runLoad() throws Exception {
    setupTable();
    int numImportRounds = getConf().getInt(NUM_IMPORT_ROUNDS_KEY, NUM_IMPORT_ROUNDS);
    LOG.info("Running load with numIterations:" + numImportRounds);
    for (int i = 0; i < numImportRounds; i++) {
      runLinkedListMRJob(i);
    }
  }

  private byte[][] getSplits(int numRegions) {
    RegionSplitter.UniformSplit split = new RegionSplitter.UniformSplit();
    split.setFirstRow(Bytes.toBytes(0L));
    split.setLastRow(Bytes.toBytes(Long.MAX_VALUE));
    return split.split(numRegions);
  }

  private void setupTable() throws IOException, InterruptedException {
    if (util.getAdmin().tableExists(getTablename())) {
      util.deleteTable(getTablename());
    }

    util.createTable(getTablename(), new byte[][] { CHAIN_FAM, SORT_FAM, DATA_FAM }, getSplits(16));

    int replicaCount = conf.getInt(NUM_REPLICA_COUNT_KEY, NUM_REPLICA_COUNT_DEFAULT);
    if (replicaCount == NUM_REPLICA_COUNT_DEFAULT) return;

    TableName t = getTablename();
    HBaseTestingUtility.setReplicas(util.getAdmin(), t, replicaCount);
  }

  private void runLinkedListMRJob(int iteration) throws Exception {
    String jobName =
      IntegrationTestBulkLoad.class.getSimpleName() + " - " + EnvironmentEdgeManager.currentTime();
    Configuration conf = new Configuration(util.getConfiguration());
    Path p = null;
    if (conf.get(ImportTsv.BULK_OUTPUT_CONF_KEY) == null) {
      p = util.getDataTestDirOnTestFS(getTablename() + "-" + iteration);
    } else {
      p = new Path(conf.get(ImportTsv.BULK_OUTPUT_CONF_KEY));
    }

    conf.setBoolean("mapreduce.map.speculative", false);
    conf.setBoolean("mapreduce.reduce.speculative", false);
    conf.setInt(ROUND_NUM_KEY, iteration);

    Job job = new Job(conf);

    job.setJobName(jobName);

    // set the input format so that we can create map tasks with no data input.
    job.setInputFormatClass(ITBulkLoadInputFormat.class);

    // Set the mapper classes.
    job.setMapperClass(LinkedListCreationMapper.class);
    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);

    // Use the identity reducer
    // So nothing to do here.

    // Set this jar.
    job.setJarByClass(getClass());

    // Set where to place the hfiles.
    FileOutputFormat.setOutputPath(job, p);
    try (Connection conn = ConnectionFactory.createConnection(conf); Admin admin = conn.getAdmin();
      Table table = conn.getTable(getTablename());
      RegionLocator regionLocator = conn.getRegionLocator(getTablename())) {

      // Configure the partitioner and other things needed for HFileOutputFormat.
      HFileOutputFormat2.configureIncrementalLoad(job, table.getTableDescriptor(), regionLocator);

      // Run the job making sure it works.
      assertEquals(true, job.waitForCompletion(true));

      // Create a new loader.
      LoadIncrementalHFiles loader = new LoadIncrementalHFiles(conf);

      // Load the HFiles in.
      loader.doBulkLoad(p, admin, table, regionLocator);
    }

    // Delete the files.
    util.getTestFileSystem().delete(p, true);
  }

  public static class EmptySplit extends InputSplit implements Writable {
    @Override
    public void write(DataOutput out) throws IOException {
    }

    @Override
    public void readFields(DataInput in) throws IOException {
    }

    @Override
    public long getLength() {
      return 0L;
    }

    @Override
    public String[] getLocations() {
      return new String[0];
    }
  }

  public static class FixedRecordReader<K, V> extends RecordReader<K, V> {
    private int index = -1;
    private K[] keys;
    private V[] values;

    public FixedRecordReader(K[] keys, V[] values) {
      this.keys = keys;
      this.values = values;
    }

    @Override
    public void initialize(InputSplit split, TaskAttemptContext context)
      throws IOException, InterruptedException {
    }

    @Override
    public boolean nextKeyValue() throws IOException, InterruptedException {
      return ++index < keys.length;
    }

    @Override
    public K getCurrentKey() throws IOException, InterruptedException {
      return keys[index];
    }

    @Override
    public V getCurrentValue() throws IOException, InterruptedException {
      return values[index];
    }

    @Override
    public float getProgress() throws IOException, InterruptedException {
      return (float) index / keys.length;
    }

    @Override
    public void close() throws IOException {
    }
  }

  public static class ITBulkLoadInputFormat extends InputFormat<LongWritable, LongWritable> {
    @Override
    public List<InputSplit> getSplits(JobContext context) throws IOException, InterruptedException {
      int numSplits = context.getConfiguration().getInt(NUM_MAPS_KEY, NUM_MAPS);
      ArrayList<InputSplit> ret = new ArrayList<>(numSplits);
      for (int i = 0; i < numSplits; ++i) {
        ret.add(new EmptySplit());
      }
      return ret;
    }

    @Override
    public RecordReader<LongWritable, LongWritable> createRecordReader(InputSplit split,
      TaskAttemptContext context) throws IOException, InterruptedException {
      int taskId = context.getTaskAttemptID().getTaskID().getId();
      int numMapTasks = context.getConfiguration().getInt(NUM_MAPS_KEY, NUM_MAPS);
      int numIterations =
        context.getConfiguration().getInt(NUM_IMPORT_ROUNDS_KEY, NUM_IMPORT_ROUNDS);
      int iteration = context.getConfiguration().getInt(ROUND_NUM_KEY, 0);

      taskId = taskId + iteration * numMapTasks;
      numMapTasks = numMapTasks * numIterations;

      long chainId = ThreadLocalRandom.current().nextLong(Long.MAX_VALUE);
      chainId = chainId - (chainId % numMapTasks) + taskId; // ensure that chainId is unique per
                                                            // task and across iterations
      LongWritable[] keys = new LongWritable[] { new LongWritable(chainId) };

      return new FixedRecordReader<>(keys, keys);
    }
  }

  /**
   * Mapper that creates a linked list of KeyValues. Each map task generates one linked list. All
   * lists start on row key 0L. All lists should be CHAIN_LENGTH long.
   */
  public static class LinkedListCreationMapper
    extends Mapper<LongWritable, LongWritable, ImmutableBytesWritable, KeyValue> {

    @Override
    protected void map(LongWritable key, LongWritable value, Context context)
      throws IOException, InterruptedException {
      long chainId = value.get();
      LOG.info("Starting mapper with chainId:" + chainId);

      byte[] chainIdArray = Bytes.toBytes(chainId);
      long currentRow = 0;

      long chainLength = context.getConfiguration().getLong(CHAIN_LENGTH_KEY, CHAIN_LENGTH);
      long nextRow = getNextRow(0, chainLength);
      byte[] valueBytes = new byte[50];

      for (long i = 0; i < chainLength; i++) {
        byte[] rk = Bytes.toBytes(currentRow);

        // Next link in the chain.
        KeyValue linkKv = new KeyValue(rk, CHAIN_FAM, chainIdArray, Bytes.toBytes(nextRow));
        // What link in the chain this is.
        KeyValue sortKv = new KeyValue(rk, SORT_FAM, chainIdArray, Bytes.toBytes(i));
        // Added data so that large stores are created.
        Bytes.random(valueBytes);
        KeyValue dataKv = new KeyValue(rk, DATA_FAM, chainIdArray, valueBytes);

        // Emit the key values.
        context.write(new ImmutableBytesWritable(rk), linkKv);
        context.write(new ImmutableBytesWritable(rk), sortKv);
        context.write(new ImmutableBytesWritable(rk), dataKv);
        // Move to the next row.
        currentRow = nextRow;
        nextRow = getNextRow(i + 1, chainLength);
      }
    }

    /** Returns a unique row id within this chain for this index */
    private long getNextRow(long index, long chainLength) {
      long nextRow = ThreadLocalRandom.current().nextLong(Long.MAX_VALUE);
      // use significant bits from the random number, but pad with index to ensure it is unique
      // this also ensures that we do not reuse row = 0
      // row collisions from multiple mappers are fine, since we guarantee unique chainIds
      nextRow = nextRow - (nextRow % chainLength) + index;
      return nextRow;
    }
  }

  /**
   * Writable class used as the key to group links in the linked list. Used as the key emited from a
   * pass over the table.
   */
  public static class LinkKey implements WritableComparable<LinkKey> {

    private Long chainId;

    public Long getOrder() {
      return order;
    }

    public Long getChainId() {
      return chainId;
    }

    private Long order;

    public LinkKey() {
    }

    public LinkKey(long chainId, long order) {
      this.chainId = chainId;
      this.order = order;
    }

    @Override
    public int compareTo(LinkKey linkKey) {
      int res = getChainId().compareTo(linkKey.getChainId());
      if (res == 0) {
        res = getOrder().compareTo(linkKey.getOrder());
      }
      return res;
    }

    @Override
    public void write(DataOutput dataOutput) throws IOException {
      WritableUtils.writeVLong(dataOutput, chainId);
      WritableUtils.writeVLong(dataOutput, order);
    }

    @Override
    public void readFields(DataInput dataInput) throws IOException {
      chainId = WritableUtils.readVLong(dataInput);
      order = WritableUtils.readVLong(dataInput);
    }
  }

  /**
   * Writable used as the value emitted from a pass over the hbase table.
   */
  public static class LinkChain implements WritableComparable<LinkChain> {

    public Long getNext() {
      return next;
    }

    public Long getRk() {
      return rk;
    }

    public LinkChain() {
    }

    public LinkChain(Long rk, Long next) {
      this.rk = rk;
      this.next = next;
    }

    private Long rk;
    private Long next;

    @Override
    public int compareTo(LinkChain linkChain) {
      int res = getRk().compareTo(linkChain.getRk());
      if (res == 0) {
        res = getNext().compareTo(linkChain.getNext());
      }
      return res;
    }

    @Override
    public void write(DataOutput dataOutput) throws IOException {
      WritableUtils.writeVLong(dataOutput, rk);
      WritableUtils.writeVLong(dataOutput, next);
    }

    @Override
    public void readFields(DataInput dataInput) throws IOException {
      rk = WritableUtils.readVLong(dataInput);
      next = WritableUtils.readVLong(dataInput);
    }
  }

  /**
   * Class to figure out what partition to send a link in the chain to. This is based upon the
   * linkKey's ChainId.
   */
  public static class NaturalKeyPartitioner extends Partitioner<LinkKey, LinkChain> {
    @Override
    public int getPartition(LinkKey linkKey, LinkChain linkChain, int numPartitions) {
      int hash = linkKey.getChainId().hashCode();
      return Math.abs(hash % numPartitions);
    }
  }

  /**
   * Comparator used to figure out if a linkKey should be grouped together. This is based upon the
   * linkKey's ChainId.
   */
  public static class NaturalKeyGroupingComparator extends WritableComparator {

    protected NaturalKeyGroupingComparator() {
      super(LinkKey.class, true);
    }

    @Override
    public int compare(WritableComparable w1, WritableComparable w2) {
      LinkKey k1 = (LinkKey) w1;
      LinkKey k2 = (LinkKey) w2;

      return k1.getChainId().compareTo(k2.getChainId());
    }
  }

  /**
   * Comparator used to order linkKeys so that they are passed to a reducer in order. This is based
   * upon linkKey ChainId and Order.
   */
  public static class CompositeKeyComparator extends WritableComparator {

    protected CompositeKeyComparator() {
      super(LinkKey.class, true);
    }

    @Override
    public int compare(WritableComparable w1, WritableComparable w2) {
      LinkKey k1 = (LinkKey) w1;
      LinkKey k2 = (LinkKey) w2;

      return k1.compareTo(k2);
    }
  }

  /**
   * Mapper to pass over the table. For every row there could be multiple chains that landed on this
   * row. So emit a linkKey and value for each.
   */
  public static class LinkedListCheckingMapper extends TableMapper<LinkKey, LinkChain> {
    @Override
    protected void map(ImmutableBytesWritable key, Result value, Context context)
      throws IOException, InterruptedException {
      long longRk = Bytes.toLong(value.getRow());

      for (Map.Entry<byte[], byte[]> entry : value.getFamilyMap(CHAIN_FAM).entrySet()) {
        long chainId = Bytes.toLong(entry.getKey());
        long next = Bytes.toLong(entry.getValue());
        Cell c = value.getColumnCells(SORT_FAM, entry.getKey()).get(0);
        long order = Bytes.toLong(CellUtil.cloneValue(c));
        context.write(new LinkKey(chainId, order), new LinkChain(longRk, next));
      }
    }
  }

  /**
   * Class that does the actual checking of the links. All links in the chain should be grouped and
   * sorted when sent to this class. Then the chain will be traversed making sure that no link is
   * missing and that the chain is the correct length. This will throw an exception if anything is
   * not correct. That causes the job to fail if any data is corrupt.
   */
  public static class LinkedListCheckingReducer
    extends Reducer<LinkKey, LinkChain, NullWritable, NullWritable> {
    @Override
    protected void reduce(LinkKey key, Iterable<LinkChain> values, Context context)
      throws java.io.IOException, java.lang.InterruptedException {
      long next = -1L;
      long prev = -1L;
      long count = 0L;

      for (LinkChain lc : values) {

        if (next == -1) {
          if (lc.getRk() != 0L) {
            String msg = "Chains should all start at rk 0, but read rk " + lc.getRk() + ". Chain:"
              + key.chainId + ", order:" + key.order;
            logError(msg, context);
            throw new RuntimeException(msg);
          }
          next = lc.getNext();
        } else {
          if (next != lc.getRk()) {
            String msg = "Missing a link in the chain. Prev rk " + prev + " was, expecting " + next
              + " but got " + lc.getRk() + ". Chain:" + key.chainId + ", order:" + key.order;
            logError(msg, context);
            throw new RuntimeException(msg);
          }
          prev = lc.getRk();
          next = lc.getNext();
        }
        count++;
      }

      int expectedChainLen = context.getConfiguration().getInt(CHAIN_LENGTH_KEY, CHAIN_LENGTH);
      if (count != expectedChainLen) {
        String msg = "Chain wasn't the correct length.  Expected " + expectedChainLen + " got "
          + count + ". Chain:" + key.chainId + ", order:" + key.order;
        logError(msg, context);
        throw new RuntimeException(msg);
      }
    }

    private static void logError(String msg, Context context) throws IOException {
      TableName table = getTableName(context.getConfiguration());

      LOG.error("Failure in chain verification: " + msg);
      try (Connection connection = ConnectionFactory.createConnection(context.getConfiguration());
        Admin admin = connection.getAdmin()) {
        LOG.error("cluster status:\n" + admin.getClusterStatus());
        LOG.error("table regions:\n" + Joiner.on("\n").join(admin.getTableRegions(table)));
      }
    }
  }

  private void runCheckWithRetry()
    throws IOException, ClassNotFoundException, InterruptedException {
    try {
      runCheck();
    } catch (Throwable t) {
      LOG.warn("Received " + StringUtils.stringifyException(t));
      LOG.warn("Running the check MR Job again to see whether an ephemeral problem or not");
      runCheck();
      throw t; // we should still fail the test even if second retry succeeds
    }
    // everything green
  }

  /**
   * After adding data to the table start a mr job to nnn
   */
  private void runCheck() throws IOException, ClassNotFoundException, InterruptedException {
    LOG.info("Running check");
    Configuration conf = getConf();
    String jobName = getTablename() + "_check" + EnvironmentEdgeManager.currentTime();
    Path p = util.getDataTestDirOnTestFS(jobName);

    Job job = new Job(conf);
    job.setJarByClass(getClass());
    job.setJobName(jobName);

    job.setPartitionerClass(NaturalKeyPartitioner.class);
    job.setGroupingComparatorClass(NaturalKeyGroupingComparator.class);
    job.setSortComparatorClass(CompositeKeyComparator.class);

    Scan scan = new Scan();
    scan.addFamily(CHAIN_FAM);
    scan.addFamily(SORT_FAM);
    scan.setMaxVersions(1);
    scan.setCacheBlocks(false);
    scan.setBatch(1000);

    int replicaCount = conf.getInt(NUM_REPLICA_COUNT_KEY, NUM_REPLICA_COUNT_DEFAULT);
    if (replicaCount != NUM_REPLICA_COUNT_DEFAULT) {
      scan.setConsistency(Consistency.TIMELINE);
    }

    TableMapReduceUtil.initTableMapperJob(getTablename().getName(), scan,
      LinkedListCheckingMapper.class, LinkKey.class, LinkChain.class, job);

    job.setReducerClass(LinkedListCheckingReducer.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(NullWritable.class);

    FileOutputFormat.setOutputPath(job, p);

    assertEquals(true, job.waitForCompletion(true));

    // Delete the files.
    util.getTestFileSystem().delete(p, true);
  }

  @Override
  public void setUpCluster() throws Exception {
    util = getTestingUtil(getConf());
    util.initializeCluster(1);
    int replicaCount = getConf().getInt(NUM_REPLICA_COUNT_KEY, NUM_REPLICA_COUNT_DEFAULT);
    if (LOG.isDebugEnabled() && replicaCount != NUM_REPLICA_COUNT_DEFAULT) {
      LOG.debug("Region Replicas enabled: " + replicaCount);
    }

    // Scale this up on a real cluster
    if (util.isDistributedCluster()) {
      util.getConfiguration().setIfUnset(NUM_MAPS_KEY,
        Integer.toString(util.getAdmin().getRegionServers().size() * 10));
      util.getConfiguration().setIfUnset(NUM_IMPORT_ROUNDS_KEY, "5");
    } else {
      util.startMiniMapReduceCluster();
    }
  }

  @Override
  protected void addOptions() {
    super.addOptions();
    super.addOptNoArg(OPT_CHECK, "Run check only");
    super.addOptNoArg(OPT_LOAD, "Run load only");
  }

  @Override
  protected void processOptions(CommandLine cmd) {
    super.processOptions(cmd);
    check = cmd.hasOption(OPT_CHECK);
    load = cmd.hasOption(OPT_LOAD);
  }

  @Override
  public int runTestFromCommandLine() throws Exception {
    if (load) {
      runLoad();
    } else if (check) {
      installSlowingCoproc();
      runCheckWithRetry();
    } else {
      testBulkLoad();
    }
    return 0;
  }

  @Override
  public TableName getTablename() {
    return getTableName(getConf());
  }

  public static TableName getTableName(Configuration conf) {
    return TableName.valueOf(conf.get(TABLE_NAME_KEY, TABLE_NAME));
  }

  @Override
  protected Set<String> getColumnFamilies() {
    return Sets.newHashSet(Bytes.toString(CHAIN_FAM), Bytes.toString(DATA_FAM),
      Bytes.toString(SORT_FAM));
  }

  public static void main(String[] args) throws Exception {
    Configuration conf = HBaseConfiguration.create();
    IntegrationTestingUtility.setUseDistributedCluster(conf);
    int status = ToolRunner.run(conf, new IntegrationTestBulkLoad(), args);
    System.exit(status);
  }
}