/**
*
* 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;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.io.PrintStream;
import java.lang.reflect.Constructor;
import java.math.BigDecimal;
import java.math.MathContext;
import java.text.DecimalFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.TreeMap;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Durability;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.client.HConnection;
import org.apache.hadoop.hbase.client.HConnectionManager;
import org.apache.hadoop.hbase.client.HTableInterface;
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.filter.BinaryComparator;
import org.apache.hadoop.hbase.filter.CompareFilter;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.PageFilter;
import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;
import org.apache.hadoop.hbase.filter.WhileMatchFilter;
import org.apache.hadoop.hbase.io.compress.Compression;
import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.util.Hash;
import org.apache.hadoop.hbase.util.MurmurHash;
import org.apache.hadoop.hbase.util.Pair;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
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.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.mapreduce.lib.reduce.LongSumReducer;
import org.apache.hadoop.util.LineReader;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
/**
* Script used evaluating HBase performance and scalability. Runs a HBase
* client that steps through one of a set of hardcoded tests or 'experiments'
* (e.g. a random reads test, a random writes test, etc.). Pass on the
* command-line which test to run and how many clients are participating in
* this experiment. Run <code>java PerformanceEvaluation --help</code> to
* obtain usage.
*
* <p>This class sets up and runs the evaluation programs described in
* Section 7, <i>Performance Evaluation</i>, of the <a
* href="http://labs.google.com/papers/bigtable.html">Bigtable</a>
* paper, pages 8-10.
*
* <p>If number of clients > 1, we start up a MapReduce job. Each map task
* runs an individual client. Each client does about 1GB of data.
*/
public class PerformanceEvaluation extends Configured implements Tool {
protected static final Log LOG = LogFactory.getLog(PerformanceEvaluation.class.getName());
public static final TableName TABLE_NAME = TableName.valueOf("TestTable");
public static final byte[] FAMILY_NAME = Bytes.toBytes("info");
public static final byte[] QUALIFIER_NAME = Bytes.toBytes("data");
public static final int VALUE_LENGTH = 1000;
public static final int ROW_LENGTH = 26;
private static final int ONE_GB = 1024 * 1024 * 1000;
private static final int ROWS_PER_GB = ONE_GB / VALUE_LENGTH;
// TODO : should we make this configurable
private static final int TAG_LENGTH = 256;
private static final DecimalFormat FMT = new DecimalFormat("0.##");
private static final MathContext CXT = MathContext.DECIMAL64;
private static final BigDecimal MS_PER_SEC = BigDecimal.valueOf(1000);
private static final BigDecimal BYTES_PER_MB = BigDecimal.valueOf(1024 * 1024);
protected HTableDescriptor TABLE_DESCRIPTOR;
protected Map<String, CmdDescriptor> commands = new TreeMap<String, CmdDescriptor>();
private boolean nomapred = false;
private int N = 1;
private int R = ROWS_PER_GB;
private float sampleRate = 1.0f;
private TableName tableName = TABLE_NAME;
private Compression.Algorithm compression = Compression.Algorithm.NONE;
private DataBlockEncoding blockEncoding = DataBlockEncoding.NONE;
private boolean flushCommits = true;
private boolean writeToWAL = true;
private boolean inMemoryCF = false;
private boolean reportLatency = false;
private int presplitRegions = 0;
private boolean useTags = false;
private int noOfTags = 1;
private HConnection connection;
private static final Path PERF_EVAL_DIR = new Path("performance_evaluation");
/** Regex to parse lines in input file passed to mapreduce task. */
public static final Pattern LINE_PATTERN =
Pattern.compile("tableName=(\\w+),\\s+" +
"startRow=(\\d+),\\s+" +
"perClientRunRows=(\\d+),\\s+" +
"totalRows=(\\d+),\\s+" +
"sampleRate=([-+]?[0-9]*\\.?[0-9]+),\\s+" +
"clients=(\\d+),\\s+" +
"flushCommits=(\\w+),\\s+" +
"writeToWAL=(\\w+),\\s+" +
"useTags=(\\w+),\\s+" +
"noOfTags=(\\d+),\\s+" +
"reportLatency=(\\w+)");
/**
* Enum for map metrics. Keep it out here rather than inside in the Map
* inner-class so we can find associated properties.
*/
protected static enum Counter {
/** elapsed time */
ELAPSED_TIME,
/** number of rows */
ROWS
}
/**
* Constructor
* @param conf Configuration object
*/
public PerformanceEvaluation(final Configuration conf) {
super(conf);
addCommandDescriptor(RandomReadTest.class, "randomRead",
"Run random read test");
addCommandDescriptor(RandomSeekScanTest.class, "randomSeekScan",
"Run random seek and scan 100 test");
addCommandDescriptor(RandomScanWithRange10Test.class, "scanRange10",
"Run random seek scan with both start and stop row (max 10 rows)");
addCommandDescriptor(RandomScanWithRange100Test.class, "scanRange100",
"Run random seek scan with both start and stop row (max 100 rows)");
addCommandDescriptor(RandomScanWithRange1000Test.class, "scanRange1000",
"Run random seek scan with both start and stop row (max 1000 rows)");
addCommandDescriptor(RandomScanWithRange10000Test.class, "scanRange10000",
"Run random seek scan with both start and stop row (max 10000 rows)");
addCommandDescriptor(RandomWriteTest.class, "randomWrite",
"Run random write test");
addCommandDescriptor(SequentialReadTest.class, "sequentialRead",
"Run sequential read test");
addCommandDescriptor(SequentialWriteTest.class, "sequentialWrite",
"Run sequential write test");
addCommandDescriptor(ScanTest.class, "scan",
"Run scan test (read every row)");
addCommandDescriptor(FilteredScanTest.class, "filterScan",
"Run scan test using a filter to find a specific row based on it's value (make sure to use --rows=20)");
}
protected void addCommandDescriptor(Class<? extends Test> cmdClass,
String name, String description) {
CmdDescriptor cmdDescriptor =
new CmdDescriptor(cmdClass, name, description);
commands.put(name, cmdDescriptor);
}
/**
* Implementations can have their status set.
*/
interface Status {
/**
* Sets status
* @param msg status message
* @throws IOException
*/
void setStatus(final String msg) throws IOException;
}
/**
* This class works as the InputSplit of Performance Evaluation
* MapReduce InputFormat, and the Record Value of RecordReader.
* Each map task will only read one record from a PeInputSplit,
* the record value is the PeInputSplit itself.
*/
public static class PeInputSplit extends InputSplit implements Writable {
private TableName tableName = TABLE_NAME;
private int startRow = 0;
private int rows = 0;
private int totalRows = 0;
private float sampleRate = 1.0f;
private int clients = 0;
private boolean flushCommits = false;
private boolean writeToWAL = true;
private boolean useTags = false;
private int noOfTags = 0;
private boolean reportLatency = false;
public PeInputSplit() {}
public PeInputSplit(TableName tableName, int startRow, int rows, int totalRows,
float sampleRate, int clients, boolean flushCommits, boolean writeToWAL,
boolean useTags, int noOfTags, boolean reportLatency) {
this.tableName = tableName;
this.startRow = startRow;
this.rows = rows;
this.totalRows = totalRows;
this.sampleRate = sampleRate;
this.clients = clients;
this.flushCommits = flushCommits;
this.writeToWAL = writeToWAL;
this.useTags = useTags;
this.noOfTags = noOfTags;
this.reportLatency = reportLatency;
}
@Override
public void readFields(DataInput in) throws IOException {
int tableNameLen = in.readInt();
byte[] name = new byte[tableNameLen];
in.readFully(name);
this.tableName = TableName.valueOf(name);
this.startRow = in.readInt();
this.rows = in.readInt();
this.totalRows = in.readInt();
this.sampleRate = in.readFloat();
this.clients = in.readInt();
this.flushCommits = in.readBoolean();
this.writeToWAL = in.readBoolean();
this.useTags = in.readBoolean();
this.noOfTags = in.readInt();
this.reportLatency = in.readBoolean();
}
@Override
public void write(DataOutput out) throws IOException {
byte[] name = this.tableName.toBytes();
out.writeInt(name.length);
out.write(name);
out.writeInt(startRow);
out.writeInt(rows);
out.writeInt(totalRows);
out.writeFloat(sampleRate);
out.writeInt(clients);
out.writeBoolean(flushCommits);
out.writeBoolean(writeToWAL);
out.writeBoolean(useTags);
out.writeInt(noOfTags);
out.writeBoolean(reportLatency);
}
@Override
public long getLength() throws IOException, InterruptedException {
return 0;
}
@Override
public String[] getLocations() throws IOException, InterruptedException {
return new String[0];
}
public TableName getTableName() {
return tableName;
}
public int getStartRow() {
return startRow;
}
public int getRows() {
return rows;
}
public int getTotalRows() {
return totalRows;
}
public float getSampleRate() {
return sampleRate;
}
public int getClients() {
return clients;
}
public boolean isFlushCommits() {
return flushCommits;
}
public boolean isWriteToWAL() {
return writeToWAL;
}
public boolean isUseTags() {
return useTags;
}
public int getNoOfTags() {
return noOfTags;
}
public boolean isReportLatency() {
return reportLatency;
}
}
/**
* InputFormat of Performance Evaluation MapReduce job.
* It extends from FileInputFormat, want to use it's methods such as setInputPaths().
*/
public static class PeInputFormat extends FileInputFormat<NullWritable, PeInputSplit> {
@Override
public List<InputSplit> getSplits(JobContext job) throws IOException {
// generate splits
List<InputSplit> splitList = new ArrayList<InputSplit>();
for (FileStatus file: listStatus(job)) {
if (file.isDir()) {
continue;
}
Path path = file.getPath();
FileSystem fs = path.getFileSystem(job.getConfiguration());
FSDataInputStream fileIn = fs.open(path);
LineReader in = new LineReader(fileIn, job.getConfiguration());
int lineLen = 0;
while(true) {
Text lineText = new Text();
lineLen = in.readLine(lineText);
if(lineLen <= 0) {
break;
}
Matcher m = LINE_PATTERN.matcher(lineText.toString());
if((m != null) && m.matches()) {
TableName tableName = TableName.valueOf(m.group(1));
int startRow = Integer.parseInt(m.group(2));
int rows = Integer.parseInt(m.group(3));
int totalRows = Integer.parseInt(m.group(4));
float sampleRate = Float.parseFloat(m.group(5));
int clients = Integer.parseInt(m.group(6));
boolean flushCommits = Boolean.parseBoolean(m.group(7));
boolean writeToWAL = Boolean.parseBoolean(m.group(8));
boolean useTags = Boolean.parseBoolean(m.group(9));
int noOfTags = Integer.parseInt(m.group(10));
boolean reportLatency = Boolean.parseBoolean(m.group(11));
LOG.debug("tableName=" + tableName +
" split["+ splitList.size() + "] " +
" startRow=" + startRow +
" rows=" + rows +
" totalRows=" + totalRows +
" sampleRate=" + sampleRate +
" clients=" + clients +
" flushCommits=" + flushCommits +
" writeToWAL=" + writeToWAL +
" useTags=" + useTags +
" noOfTags=" + noOfTags +
" reportLatency=" + reportLatency);
PeInputSplit newSplit =
new PeInputSplit(tableName, startRow, rows, totalRows, sampleRate, clients,
flushCommits, writeToWAL, useTags, noOfTags, reportLatency);
splitList.add(newSplit);
}
}
in.close();
}
LOG.info("Total # of splits: " + splitList.size());
return splitList;
}
@Override
public RecordReader<NullWritable, PeInputSplit> createRecordReader(InputSplit split,
TaskAttemptContext context) {
return new PeRecordReader();
}
public static class PeRecordReader extends RecordReader<NullWritable, PeInputSplit> {
private boolean readOver = false;
private PeInputSplit split = null;
private NullWritable key = null;
private PeInputSplit value = null;
@Override
public void initialize(InputSplit split, TaskAttemptContext context)
throws IOException, InterruptedException {
this.readOver = false;
this.split = (PeInputSplit)split;
}
@Override
public boolean nextKeyValue() throws IOException, InterruptedException {
if(readOver) {
return false;
}
key = NullWritable.get();
value = split;
readOver = true;
return true;
}
@Override
public NullWritable getCurrentKey() throws IOException, InterruptedException {
return key;
}
@Override
public PeInputSplit getCurrentValue() throws IOException, InterruptedException {
return value;
}
@Override
public float getProgress() throws IOException, InterruptedException {
if(readOver) {
return 1.0f;
} else {
return 0.0f;
}
}
@Override
public void close() throws IOException {
// do nothing
}
}
}
/**
* MapReduce job that runs a performance evaluation client in each map task.
*/
public static class EvaluationMapTask
extends Mapper<NullWritable, PeInputSplit, LongWritable, LongWritable> {
/** configuration parameter name that contains the command */
public final static String CMD_KEY = "EvaluationMapTask.command";
/** configuration parameter name that contains the PE impl */
public static final String PE_KEY = "EvaluationMapTask.performanceEvalImpl";
private Class<? extends Test> cmd;
private PerformanceEvaluation pe;
@Override
protected void setup(Context context) throws IOException, InterruptedException {
this.cmd = forName(context.getConfiguration().get(CMD_KEY), Test.class);
// this is required so that extensions of PE are instantiated within the
// map reduce task...
Class<? extends PerformanceEvaluation> peClass =
forName(context.getConfiguration().get(PE_KEY), PerformanceEvaluation.class);
try {
this.pe = peClass.getConstructor(Configuration.class)
.newInstance(context.getConfiguration());
} catch (Exception e) {
throw new IllegalStateException("Could not instantiate PE instance", e);
}
}
private <Type> Class<? extends Type> forName(String className, Class<Type> type) {
Class<? extends Type> clazz = null;
try {
clazz = Class.forName(className).asSubclass(type);
} catch (ClassNotFoundException e) {
throw new IllegalStateException("Could not find class for name: " + className, e);
}
return clazz;
}
protected void map(NullWritable key, PeInputSplit value, final Context context)
throws IOException, InterruptedException {
Status status = new Status() {
public void setStatus(String msg) {
context.setStatus(msg);
}
};
// Evaluation task
pe.tableName = value.getTableName();
long elapsedTime = this.pe.runOneClient(this.cmd, value.getStartRow(),
value.getRows(), value.getTotalRows(), value.getSampleRate(),
value.isFlushCommits(), value.isWriteToWAL(), value.isUseTags(),
value.getNoOfTags(), value.isReportLatency(),
HConnectionManager.createConnection(context.getConfiguration()), status);
// Collect how much time the thing took. Report as map output and
// to the ELAPSED_TIME counter.
context.getCounter(Counter.ELAPSED_TIME).increment(elapsedTime);
context.getCounter(Counter.ROWS).increment(value.rows);
context.write(new LongWritable(value.startRow), new LongWritable(elapsedTime));
context.progress();
}
}
/*
* If table does not already exist, create.
* @param c Client to use checking.
* @return True if we created the table.
* @throws IOException
*/
private boolean checkTable(HBaseAdmin admin) throws IOException {
HTableDescriptor tableDescriptor = getTableDescriptor();
if (this.presplitRegions > 0) {
// presplit requested
if (admin.tableExists(tableDescriptor.getTableName())) {
admin.disableTable(tableDescriptor.getTableName());
admin.deleteTable(tableDescriptor.getTableName());
}
byte[][] splits = getSplits();
for (int i=0; i < splits.length; i++) {
LOG.debug(" split " + i + ": " + Bytes.toStringBinary(splits[i]));
}
admin.createTable(tableDescriptor, splits);
LOG.info ("Table created with " + this.presplitRegions + " splits");
}
else {
boolean tableExists = admin.tableExists(tableDescriptor.getTableName());
if (!tableExists) {
admin.createTable(tableDescriptor);
LOG.info("Table " + tableDescriptor + " created");
}
}
return admin.tableExists(tableDescriptor.getTableName());
}
protected HTableDescriptor getTableDescriptor() {
if (TABLE_DESCRIPTOR == null) {
TABLE_DESCRIPTOR = new HTableDescriptor(tableName);
HColumnDescriptor family = new HColumnDescriptor(FAMILY_NAME);
family.setDataBlockEncoding(blockEncoding);
family.setCompressionType(compression);
if (inMemoryCF) {
family.setInMemory(true);
}
TABLE_DESCRIPTOR.addFamily(family);
}
return TABLE_DESCRIPTOR;
}
/**
* generates splits based on total number of rows and specified split regions
*
* @return splits : array of byte []
*/
protected byte[][] getSplits() {
if (this.presplitRegions == 0)
return new byte [0][];
int numSplitPoints = presplitRegions - 1;
byte[][] splits = new byte[numSplitPoints][];
int jump = this.R / this.presplitRegions;
for (int i=0; i < numSplitPoints; i++) {
int rowkey = jump * (1 + i);
splits[i] = format(rowkey);
}
return splits;
}
/*
* We're to run multiple clients concurrently. Setup a mapreduce job. Run
* one map per client. Then run a single reduce to sum the elapsed times.
* @param cmd Command to run.
* @throws IOException
*/
private void runNIsMoreThanOne(final Class<? extends Test> cmd)
throws IOException, InterruptedException, ClassNotFoundException {
checkTable(new HBaseAdmin(getConf()));
if (this.nomapred) {
doMultipleClients(cmd);
} else {
doMapReduce(cmd);
}
}
/*
* Run all clients in this vm each to its own thread.
* @param cmd Command to run.
* @throws IOException
*/
private void doMultipleClients(final Class<? extends Test> cmd) throws IOException {
final List<Thread> threads = new ArrayList<Thread>(this.N);
final long[] timings = new long[this.N];
final int perClientRows = R/N;
final float sampleRate = this.sampleRate;
final TableName tableName = this.tableName;
final DataBlockEncoding encoding = this.blockEncoding;
final boolean flushCommits = this.flushCommits;
final Compression.Algorithm compression = this.compression;
final boolean writeToWal = this.writeToWAL;
final boolean reportLatency = this.reportLatency;
final int preSplitRegions = this.presplitRegions;
final boolean useTags = this.useTags;
final int numTags = this.noOfTags;
final HConnection connection = HConnectionManager.createConnection(getConf());
for (int i = 0; i < this.N; i++) {
final int index = i;
Thread t = new Thread ("TestClient-" + i) {
@Override
public void run() {
super.run();
PerformanceEvaluation pe = new PerformanceEvaluation(getConf());
pe.tableName = tableName;
pe.blockEncoding = encoding;
pe.flushCommits = flushCommits;
pe.compression = compression;
pe.writeToWAL = writeToWal;
pe.presplitRegions = preSplitRegions;
pe.N = N;
pe.sampleRate = sampleRate;
pe.reportLatency = reportLatency;
pe.connection = connection;
pe.useTags = useTags;
pe.noOfTags = numTags;
try {
long elapsedTime = pe.runOneClient(cmd, index * perClientRows,
perClientRows, R, sampleRate, flushCommits, writeToWal, useTags,
noOfTags, reportLatency, connection, new Status() {
public void setStatus(final String msg) throws IOException {
LOG.info("client-" + getName() + " " + msg);
}
});
timings[index] = elapsedTime;
LOG.info("Finished " + getName() + " in " + elapsedTime +
"ms writing " + perClientRows + " rows");
} catch (IOException e) {
throw new RuntimeException(e);
}
}
};
threads.add(t);
}
for (Thread t: threads) {
t.start();
}
for (Thread t: threads) {
while(t.isAlive()) {
try {
t.join();
} catch (InterruptedException e) {
LOG.debug("Interrupted, continuing" + e.toString());
}
}
}
final String test = cmd.getSimpleName();
LOG.info("[" + test + "] Summary of timings (ms): "
+ Arrays.toString(timings));
Arrays.sort(timings);
long total = 0;
for (int i = 0; i < this.N; i++) {
total += timings[i];
}
LOG.info("[" + test + "]"
+ "\tMin: " + timings[0] + "ms"
+ "\tMax: " + timings[this.N - 1] + "ms"
+ "\tAvg: " + (total / this.N) + "ms");
}
/*
* Run a mapreduce job. Run as many maps as asked-for clients.
* Before we start up the job, write out an input file with instruction
* per client regards which row they are to start on.
* @param cmd Command to run.
* @throws IOException
*/
private void doMapReduce(final Class<? extends Test> cmd) throws IOException,
InterruptedException, ClassNotFoundException {
Configuration conf = getConf();
Path inputDir = writeInputFile(conf);
conf.set(EvaluationMapTask.CMD_KEY, cmd.getName());
conf.set(EvaluationMapTask.PE_KEY, getClass().getName());
Job job = new Job(conf);
job.setJarByClass(PerformanceEvaluation.class);
job.setJobName("HBase Performance Evaluation");
job.setInputFormatClass(PeInputFormat.class);
PeInputFormat.setInputPaths(job, inputDir);
job.setOutputKeyClass(LongWritable.class);
job.setOutputValueClass(LongWritable.class);
job.setMapperClass(EvaluationMapTask.class);
job.setReducerClass(LongSumReducer.class);
job.setNumReduceTasks(1);
job.setOutputFormatClass(TextOutputFormat.class);
TextOutputFormat.setOutputPath(job, new Path(inputDir.getParent(), "outputs"));
TableMapReduceUtil.addDependencyJars(job);
// Add a Class from the hbase.jar so it gets registered too.
TableMapReduceUtil.addDependencyJars(job.getConfiguration(),
org.apache.hadoop.hbase.util.Bytes.class);
TableMapReduceUtil.initCredentials(job);
job.waitForCompletion(true);
}
/*
* Write input file of offsets-per-client for the mapreduce job.
* @param c Configuration
* @return Directory that contains file written.
* @throws IOException
*/
private Path writeInputFile(final Configuration c) throws IOException {
SimpleDateFormat formatter = new SimpleDateFormat("yyyyMMddHHmmss");
Path jobdir = new Path(PERF_EVAL_DIR, formatter.format(new Date()));
Path inputDir = new Path(jobdir, "inputs");
FileSystem fs = FileSystem.get(c);
fs.mkdirs(inputDir);
Path inputFile = new Path(inputDir, "input.txt");
PrintStream out = new PrintStream(fs.create(inputFile));
// Make input random.
Map<Integer, String> m = new TreeMap<Integer, String>();
Hash h = MurmurHash.getInstance();
int perClientRows = (this.R / this.N);
try {
for (int i = 0; i < 10; i++) {
for (int j = 0; j < N; j++) {
String s = "tableName=" + this.tableName +
", startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
", perClientRunRows=" + (perClientRows / 10) +
", totalRows=" + this.R +
", sampleRate=" + this.sampleRate +
", clients=" + this.N +
", flushCommits=" + this.flushCommits +
", writeToWAL=" + this.writeToWAL +
", useTags=" + this.useTags +
", noOfTags=" + this.noOfTags +
", reportLatency=" + this.reportLatency;
int hash = h.hash(Bytes.toBytes(s));
m.put(hash, s);
}
}
for (Map.Entry<Integer, String> e: m.entrySet()) {
out.println(e.getValue());
}
} finally {
out.close();
}
return inputDir;
}
/**
* Describes a command.
*/
static class CmdDescriptor {
private Class<? extends Test> cmdClass;
private String name;
private String description;
CmdDescriptor(Class<? extends Test> cmdClass, String name, String description) {
this.cmdClass = cmdClass;
this.name = name;
this.description = description;
}
public Class<? extends Test> getCmdClass() {
return cmdClass;
}
public String getName() {
return name;
}
public String getDescription() {
return description;
}
}
/**
* Wraps up options passed to {@link org.apache.hadoop.hbase.PerformanceEvaluation.Test
* tests}. This makes the reflection logic a little easier to understand...
*/
static class TestOptions {
private int startRow;
private int perClientRunRows;
private int totalRows;
private float sampleRate;
private int numClientThreads;
private TableName tableName;
private boolean flushCommits;
private boolean writeToWAL = true;
private boolean useTags = false;
private int noOfTags = 0;
private boolean reportLatency;
private HConnection connection;
TestOptions() {}
TestOptions(int startRow, int perClientRunRows, int totalRows, float sampleRate,
int numClientThreads, TableName tableName, boolean flushCommits, boolean writeToWAL,
boolean useTags, int noOfTags, boolean reportLatency, HConnection connection) {
this.startRow = startRow;
this.perClientRunRows = perClientRunRows;
this.totalRows = totalRows;
this.sampleRate = sampleRate;
this.numClientThreads = numClientThreads;
this.tableName = tableName;
this.flushCommits = flushCommits;
this.writeToWAL = writeToWAL;
this.useTags = useTags;
this.noOfTags = noOfTags;
this.reportLatency = reportLatency;
this.connection = connection;
}
public int getStartRow() {
return startRow;
}
public int getPerClientRunRows() {
return perClientRunRows;
}
public int getTotalRows() {
return totalRows;
}
public float getSampleRate() {
return sampleRate;
}
public int getNumClientThreads() {
return numClientThreads;
}
public TableName getTableName() {
return tableName;
}
public boolean isFlushCommits() {
return flushCommits;
}
public boolean isWriteToWAL() {
return writeToWAL;
}
public boolean isReportLatency() {
return reportLatency;
}
public HConnection getConnection() {
return connection;
}
public boolean isUseTags() {
return this.useTags;
}
public int getNumTags() {
return this.noOfTags;
}
}
/*
* A test.
* Subclass to particularize what happens per row.
*/
static abstract class Test {
// Below is make it so when Tests are all running in the one
// jvm, that they each have a differently seeded Random.
private static final Random randomSeed =
new Random(System.currentTimeMillis());
private static long nextRandomSeed() {
return randomSeed.nextLong();
}
protected final Random rand = new Random(nextRandomSeed());
protected final int startRow;
protected final int perClientRunRows;
protected final int totalRows;
protected final float sampleRate;
private final Status status;
protected TableName tableName;
protected HTableInterface table;
protected volatile Configuration conf;
protected boolean flushCommits;
protected boolean writeToWAL;
protected boolean useTags;
protected int noOfTags;
protected boolean reportLatency;
protected HConnection connection;
/**
* Note that all subclasses of this class must provide a public contructor
* that has the exact same list of arguments.
*/
Test(final Configuration conf, final TestOptions options, final Status status) {
super();
this.startRow = options.getStartRow();
this.perClientRunRows = options.getPerClientRunRows();
this.totalRows = options.getTotalRows();
this.sampleRate = options.getSampleRate();
this.status = status;
this.tableName = options.getTableName();
this.table = null;
this.conf = conf;
this.flushCommits = options.isFlushCommits();
this.writeToWAL = options.isWriteToWAL();
this.useTags = options.isUseTags();
this.noOfTags = options.getNumTags();
this.reportLatency = options.isReportLatency();
this.connection = options.getConnection();
}
private String generateStatus(final int sr, final int i, final int lr) {
return sr + "/" + i + "/" + lr;
}
protected int getReportingPeriod() {
int period = this.perClientRunRows / 10;
return period == 0 ? this.perClientRunRows : period;
}
void testSetup() throws IOException {
this.table = connection.getTable(tableName);
this.table.setAutoFlush(false, true);
}
void testTakedown() throws IOException {
if (flushCommits) {
this.table.flushCommits();
}
table.close();
}
/*
* Run test
* @return Elapsed time.
* @throws IOException
*/
long test() throws IOException {
testSetup();
LOG.info("Timed test starting in thread " + Thread.currentThread().getName());
final long startTime = System.nanoTime();
try {
testTimed();
} finally {
testTakedown();
}
return (System.nanoTime() - startTime) / 1000000;
}
/**
* Provides an extension point for tests that don't want a per row invocation.
*/
void testTimed() throws IOException {
int lastRow = this.startRow + this.perClientRunRows;
// Report on completion of 1/10th of total.
for (int i = this.startRow; i < lastRow; i++) {
testRow(i);
if (status != null && i > 0 && (i % getReportingPeriod()) == 0) {
status.setStatus(generateStatus(this.startRow, i, lastRow));
}
}
}
/*
* Test for individual row.
* @param i Row index.
*/
abstract void testRow(final int i) throws IOException;
}
@SuppressWarnings("unused")
static class RandomSeekScanTest extends Test {
RandomSeekScanTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(final int i) throws IOException {
Scan scan = new Scan(getRandomRow(this.rand, this.totalRows));
scan.addColumn(FAMILY_NAME, QUALIFIER_NAME);
scan.setFilter(new WhileMatchFilter(new PageFilter(120)));
ResultScanner s = this.table.getScanner(scan);
for (Result rr; (rr = s.next()) != null;) ;
s.close();
}
@Override
protected int getReportingPeriod() {
int period = this.perClientRunRows / 100;
return period == 0 ? this.perClientRunRows : period;
}
}
@SuppressWarnings("unused")
static abstract class RandomScanWithRangeTest extends Test {
RandomScanWithRangeTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(final int i) throws IOException {
Pair<byte[], byte[]> startAndStopRow = getStartAndStopRow();
Scan scan = new Scan(startAndStopRow.getFirst(), startAndStopRow.getSecond());
scan.addColumn(FAMILY_NAME, QUALIFIER_NAME);
ResultScanner s = this.table.getScanner(scan);
int count = 0;
for (Result rr; (rr = s.next()) != null;) {
count++;
}
if (i % 100 == 0) {
LOG.info(String.format("Scan for key range %s - %s returned %s rows",
Bytes.toString(startAndStopRow.getFirst()),
Bytes.toString(startAndStopRow.getSecond()), count));
}
s.close();
}
protected abstract Pair<byte[],byte[]> getStartAndStopRow();
protected Pair<byte[], byte[]> generateStartAndStopRows(int maxRange) {
int start = this.rand.nextInt(Integer.MAX_VALUE) % totalRows;
int stop = start + maxRange;
return new Pair<byte[],byte[]>(format(start), format(stop));
}
@Override
protected int getReportingPeriod() {
int period = this.perClientRunRows / 100;
return period == 0? this.perClientRunRows: period;
}
}
static class RandomScanWithRange10Test extends RandomScanWithRangeTest {
RandomScanWithRange10Test(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
protected Pair<byte[], byte[]> getStartAndStopRow() {
return generateStartAndStopRows(10);
}
}
static class RandomScanWithRange100Test extends RandomScanWithRangeTest {
RandomScanWithRange100Test(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
protected Pair<byte[], byte[]> getStartAndStopRow() {
return generateStartAndStopRows(100);
}
}
static class RandomScanWithRange1000Test extends RandomScanWithRangeTest {
RandomScanWithRange1000Test(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
protected Pair<byte[], byte[]> getStartAndStopRow() {
return generateStartAndStopRows(1000);
}
}
static class RandomScanWithRange10000Test extends RandomScanWithRangeTest {
RandomScanWithRange10000Test(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
protected Pair<byte[], byte[]> getStartAndStopRow() {
return generateStartAndStopRows(10000);
}
}
static class RandomReadTest extends Test {
private final int everyN;
private final boolean reportLatency;
private final float[] times;
int idx = 0;
RandomReadTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
everyN = (int) (this.totalRows / (this.totalRows * this.sampleRate));
LOG.info("Sampling 1 every " + everyN + " out of " + perClientRunRows + " total rows.");
this.reportLatency = options.isReportLatency();
if (this.reportLatency) {
times = new float[(int) Math.ceil(this.perClientRunRows * this.sampleRate)];
} else {
times = null;
}
}
@Override
void testRow(final int i) throws IOException {
if (i % everyN == 0) {
Get get = new Get(getRandomRow(this.rand, this.totalRows));
get.addColumn(FAMILY_NAME, QUALIFIER_NAME);
long start = System.nanoTime();
this.table.get(get);
if (this.reportLatency) {
times[idx++] = (float) ((System.nanoTime() - start) / 1000000.0);
}
}
}
@Override
protected int getReportingPeriod() {
int period = this.perClientRunRows / 100;
return period == 0 ? this.perClientRunRows : period;
}
@Override
protected void testTakedown() throws IOException {
super.testTakedown();
if (this.reportLatency) {
LOG.info("randomRead latency log (ms): " + Arrays.toString(times));
}
}
}
static class RandomWriteTest extends Test {
RandomWriteTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(final int i) throws IOException {
byte[] row = getRandomRow(this.rand, this.totalRows);
Put put = new Put(row);
byte[] value = generateData(this.rand, VALUE_LENGTH);
if (useTags) {
byte[] tag = generateData(this.rand, TAG_LENGTH);
Tag[] tags = new Tag[noOfTags];
for (int n = 0; n < noOfTags; n++) {
Tag t = new Tag((byte) n, tag);
tags[n] = t;
}
KeyValue kv = new KeyValue(row, FAMILY_NAME, QUALIFIER_NAME, HConstants.LATEST_TIMESTAMP,
value, tags);
put.add(kv);
} else {
put.add(FAMILY_NAME, QUALIFIER_NAME, value);
}
put.setDurability(writeToWAL ? Durability.SYNC_WAL : Durability.SKIP_WAL);
table.put(put);
}
}
static class ScanTest extends Test {
private ResultScanner testScanner;
ScanTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testTakedown() throws IOException {
if (this.testScanner != null) {
this.testScanner.close();
}
super.testTakedown();
}
@Override
void testRow(final int i) throws IOException {
if (this.testScanner == null) {
Scan scan = new Scan(format(this.startRow));
scan.setCaching(30);
scan.addColumn(FAMILY_NAME, QUALIFIER_NAME);
this.testScanner = table.getScanner(scan);
}
testScanner.next();
}
}
static class SequentialReadTest extends Test {
SequentialReadTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(final int i) throws IOException {
Get get = new Get(format(i));
get.addColumn(FAMILY_NAME, QUALIFIER_NAME);
table.get(get);
}
}
static class SequentialWriteTest extends Test {
SequentialWriteTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(final int i) throws IOException {
byte[] row = format(i);
Put put = new Put(row);
byte[] value = generateData(this.rand, VALUE_LENGTH);
if (useTags) {
byte[] tag = generateData(this.rand, TAG_LENGTH);
Tag[] tags = new Tag[noOfTags];
for (int n = 0; n < noOfTags; n++) {
Tag t = new Tag((byte) n, tag);
tags[n] = t;
}
KeyValue kv = new KeyValue(row, FAMILY_NAME, QUALIFIER_NAME, HConstants.LATEST_TIMESTAMP,
value, tags);
put.add(kv);
} else {
put.add(FAMILY_NAME, QUALIFIER_NAME, value);
}
put.setDurability(writeToWAL ? Durability.SYNC_WAL : Durability.SKIP_WAL);
table.put(put);
}
}
static class FilteredScanTest extends Test {
protected static final Log LOG = LogFactory.getLog(FilteredScanTest.class.getName());
FilteredScanTest(Configuration conf, TestOptions options, Status status) {
super(conf, options, status);
}
@Override
void testRow(int i) throws IOException {
byte[] value = generateData(this.rand, VALUE_LENGTH);
Scan scan = constructScan(value);
ResultScanner scanner = null;
try {
scanner = this.table.getScanner(scan);
while (scanner.next() != null) {
}
} finally {
if (scanner != null) scanner.close();
}
}
protected Scan constructScan(byte[] valuePrefix) throws IOException {
Filter filter = new SingleColumnValueFilter(
FAMILY_NAME, QUALIFIER_NAME, CompareFilter.CompareOp.EQUAL,
new BinaryComparator(valuePrefix)
);
Scan scan = new Scan();
scan.addColumn(FAMILY_NAME, QUALIFIER_NAME);
scan.setFilter(filter);
return scan;
}
}
/**
* Compute a throughput rate in MB/s.
* @param rows Number of records consumed.
* @param timeMs Time taken in milliseconds.
* @return String value with label, ie '123.76 MB/s'
*/
private static String calculateMbps(int rows, long timeMs) {
// MB/s = ((totalRows * ROW_SIZE_BYTES) / totalTimeMS)
// * 1000 MS_PER_SEC / (1024 * 1024) BYTES_PER_MB
BigDecimal rowSize =
BigDecimal.valueOf(ROW_LENGTH + VALUE_LENGTH + FAMILY_NAME.length + QUALIFIER_NAME.length);
BigDecimal mbps = BigDecimal.valueOf(rows).multiply(rowSize, CXT)
.divide(BigDecimal.valueOf(timeMs), CXT).multiply(MS_PER_SEC, CXT)
.divide(BYTES_PER_MB, CXT);
return FMT.format(mbps) + " MB/s";
}
/*
* Format passed integer.
* @param number
* @return Returns zero-prefixed ROW_LENGTH-byte wide decimal version of passed
* number (Does absolute in case number is negative).
*/
public static byte [] format(final int number) {
byte [] b = new byte[ROW_LENGTH];
int d = Math.abs(number);
for (int i = b.length - 1; i >= 0; i--) {
b[i] = (byte)((d % 10) + '0');
d /= 10;
}
return b;
}
/*
* This method takes some time and is done inline uploading data. For
* example, doing the mapfile test, generation of the key and value
* consumes about 30% of CPU time.
* @return Generated random value to insert into a table cell.
*/
public static byte[] generateData(final Random r, int length) {
byte [] b = new byte [length];
int i = 0;
for(i = 0; i < (length-8); i += 8) {
b[i] = (byte) (65 + r.nextInt(26));
b[i+1] = b[i];
b[i+2] = b[i];
b[i+3] = b[i];
b[i+4] = b[i];
b[i+5] = b[i];
b[i+6] = b[i];
b[i+7] = b[i];
}
byte a = (byte) (65 + r.nextInt(26));
for(; i < length; i++) {
b[i] = a;
}
return b;
}
static byte [] getRandomRow(final Random random, final int totalRows) {
return format(random.nextInt(Integer.MAX_VALUE) % totalRows);
}
long runOneClient(final Class<? extends Test> cmd, final int startRow,
final int perClientRunRows, final int totalRows, final float sampleRate,
boolean flushCommits, boolean writeToWAL, boolean useTags, int noOfTags,
boolean reportLatency, HConnection connection, final Status status)
throws IOException {
status.setStatus("Start " + cmd + " at offset " + startRow + " for " +
perClientRunRows + " rows");
long totalElapsedTime = 0;
TestOptions options = new TestOptions(startRow, perClientRunRows,
totalRows, sampleRate, N, tableName, flushCommits, writeToWAL, useTags, noOfTags,
reportLatency, connection);
final Test t;
try {
Constructor<? extends Test> constructor = cmd.getDeclaredConstructor(
Configuration.class, TestOptions.class, Status.class);
t = constructor.newInstance(getConf(), options, status);
} catch (NoSuchMethodException e) {
throw new IllegalArgumentException("Invalid command class: " +
cmd.getName() + ". It does not provide a constructor as described by" +
"the javadoc comment. Available constructors are: " +
Arrays.toString(cmd.getConstructors()));
} catch (Exception e) {
throw new IllegalStateException("Failed to construct command class", e);
}
totalElapsedTime = t.test();
status.setStatus("Finished " + cmd + " in " + totalElapsedTime +
"ms at offset " + startRow + " for " + perClientRunRows + " rows" +
" (" + calculateMbps((int)(perClientRunRows * sampleRate), totalElapsedTime) + ")");
return totalElapsedTime;
}
private void runNIsOne(final Class<? extends Test> cmd) throws IOException {
Status status = new Status() {
public void setStatus(String msg) throws IOException {
LOG.info(msg);
}
};
HBaseAdmin admin = null;
try {
admin = new HBaseAdmin(getConf());
checkTable(admin);
runOneClient(cmd, 0, this.R, this.R, this.sampleRate, this.flushCommits,
this.writeToWAL, this.useTags, this.noOfTags, this.reportLatency, this.connection, status);
} catch (Exception e) {
LOG.error("Failed", e);
} finally {
if (admin != null) admin.close();
}
}
private void runTest(final Class<? extends Test> cmd) throws IOException,
InterruptedException, ClassNotFoundException {
if (N == 1) {
// If there is only one client and one HRegionServer, we assume nothing
// has been set up at all.
runNIsOne(cmd);
} else {
// Else, run
runNIsMoreThanOne(cmd);
}
}
protected void printUsage() {
printUsage(null);
}
protected void printUsage(final String message) {
if (message != null && message.length() > 0) {
System.err.println(message);
}
System.err.println("Usage: java " + this.getClass().getName() + " \\");
System.err.println(" [--nomapred] [--rows=ROWS] [--table=NAME] \\");
System.err.println(" [--compress=TYPE] [--blockEncoding=TYPE] " +
"[-D<property=value>]* <command> <nclients>");
System.err.println();
System.err.println("Options:");
System.err.println(" nomapred Run multiple clients using threads " +
"(rather than use mapreduce)");
System.err.println(" rows Rows each client runs. Default: One million");
System.err.println(" sampleRate Execute test on a sample of total " +
"rows. Only supported by randomRead. Default: 1.0");
System.err.println(" table Alternate table name. Default: 'TestTable'");
System.err.println(" compress Compression type to use (GZ, LZO, ...). Default: 'NONE'");
System.err.println(" flushCommits Used to determine if the test should flush the table. " +
"Default: false");
System.err.println(" writeToWAL Set writeToWAL on puts. Default: True");
System.err.println(" presplit Create presplit table. Recommended for accurate perf " +
"analysis (see guide). Default: disabled");
System.err.println(" inmemory Tries to keep the HFiles of the CF " +
"inmemory as far as possible. Not guaranteed that reads are always served " +
"from memory. Default: false");
System.err.println(" usetags Writes tags along with KVs. Use with HFile V3. " +
"Default: false");
System.err.println(" numoftags Specify the no of tags that would be needed. " +
"This works only if usetags is true.");
System.err.println(" latency Set to report operation latencies. " +
"Currently only supported by randomRead test. Default: False");
System.err.println();
System.err.println(" Note: -D properties will be applied to the conf used. ");
System.err.println(" For example: ");
System.err.println(" -Dmapred.output.compress=true");
System.err.println(" -Dmapreduce.task.timeout=60000");
System.err.println();
System.err.println("Command:");
for (CmdDescriptor command : commands.values()) {
System.err.println(String.format(" %-15s %s", command.getName(), command.getDescription()));
}
System.err.println();
System.err.println("Args:");
System.err.println(" nclients Integer. Required. Total number of " +
"clients (and HRegionServers)");
System.err.println(" running: 1 <= value <= 500");
System.err.println("Examples:");
System.err.println(" To run a single evaluation client:");
System.err.println(" $ bin/hbase " + this.getClass().getName()
+ " sequentialWrite 1");
}
private void getArgs(final int start, final String[] args) {
if(start + 1 > args.length) {
throw new IllegalArgumentException("must supply the number of clients");
}
N = Integer.parseInt(args[start]);
if (N < 1) {
throw new IllegalArgumentException("Number of clients must be > 1");
}
// Set total number of rows to write.
this.R = this.R * N;
}
public int run(String[] args) throws Exception {
// Process command-line args. TODO: Better cmd-line processing
// (but hopefully something not as painful as cli options).
int errCode = -1;
if (args.length < 1) {
printUsage();
return errCode;
}
try {
// MR-NOTE: if you are adding a property that is used to control an operation
// like put(), get(), scan(), ... you must also add it as part of the MR
// input, take a look at writeInputFile().
// Then you must adapt the LINE_PATTERN input regex,
// and parse the argument, take a look at PEInputFormat.getSplits().
for (int i = 0; i < args.length; i++) {
String cmd = args[i];
if (cmd.equals("-h") || cmd.startsWith("--h")) {
printUsage();
errCode = 0;
break;
}
final String nmr = "--nomapred";
if (cmd.startsWith(nmr)) {
this.nomapred = true;
continue;
}
final String rows = "--rows=";
if (cmd.startsWith(rows)) {
this.R = Integer.parseInt(cmd.substring(rows.length()));
continue;
}
final String sampleRate = "--sampleRate=";
if (cmd.startsWith(sampleRate)) {
this.sampleRate = Float.parseFloat(cmd.substring(sampleRate.length()));
continue;
}
final String table = "--table=";
if (cmd.startsWith(table)) {
this.tableName = TableName.valueOf(cmd.substring(table.length()));
continue;
}
final String compress = "--compress=";
if (cmd.startsWith(compress)) {
this.compression = Compression.Algorithm.valueOf(cmd.substring(compress.length()));
continue;
}
final String blockEncoding = "--blockEncoding=";
if (cmd.startsWith(blockEncoding)) {
this.blockEncoding = DataBlockEncoding.valueOf(cmd.substring(blockEncoding.length()));
continue;
}
final String flushCommits = "--flushCommits=";
if (cmd.startsWith(flushCommits)) {
this.flushCommits = Boolean.parseBoolean(cmd.substring(flushCommits.length()));
continue;
}
final String writeToWAL = "--writeToWAL=";
if (cmd.startsWith(writeToWAL)) {
this.writeToWAL = Boolean.parseBoolean(cmd.substring(writeToWAL.length()));
continue;
}
final String presplit = "--presplit=";
if (cmd.startsWith(presplit)) {
this.presplitRegions = Integer.parseInt(cmd.substring(presplit.length()));
continue;
}
final String inMemory = "--inmemory=";
if (cmd.startsWith(inMemory)) {
this.inMemoryCF = Boolean.parseBoolean(cmd.substring(inMemory.length()));
continue;
}
final String latency = "--latency";
if (cmd.startsWith(latency)) {
this.reportLatency = true;
continue;
}
this.connection = HConnectionManager.createConnection(getConf());
final String useTags = "--usetags=";
if (cmd.startsWith(useTags)) {
this.useTags = Boolean.parseBoolean(cmd.substring(useTags.length()));
continue;
}
final String noOfTags = "--nooftags=";
if (cmd.startsWith(noOfTags)) {
this.noOfTags = Integer.parseInt(cmd.substring(noOfTags.length()));
continue;
}
Class<? extends Test> cmdClass = determineCommandClass(cmd);
if (cmdClass != null) {
getArgs(i + 1, args);
runTest(cmdClass);
errCode = 0;
break;
}
printUsage();
break;
}
} catch (Exception e) {
e.printStackTrace();
}
return errCode;
}
private Class<? extends Test> determineCommandClass(String cmd) {
CmdDescriptor descriptor = commands.get(cmd);
return descriptor != null ? descriptor.getCmdClass() : null;
}
public static void main(final String[] args) throws Exception {
int res = ToolRunner.run(new PerformanceEvaluation(HBaseConfiguration.create()), args);
System.exit(res);
}
}