/**
* Copyright 2007 The Apache Software Foundation
*
* 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.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.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.Get;
import org.apache.hadoop.hbase.client.HBaseAdmin;
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.filter.PageFilter;
import org.apache.hadoop.hbase.filter.WhileMatchFilter;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.hbase.util.FSUtils;
import org.apache.hadoop.hbase.util.Hash;
import org.apache.hadoop.hbase.util.MurmurHash;
import org.apache.hadoop.hdfs.MiniDFSCluster;
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;
/**
* 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 implements HConstants {
protected static final Log LOG = LogFactory.getLog(PerformanceEvaluation.class.getName());
private static final int ROW_LENGTH = 1000;
private static final int ONE_GB = 1024 * 1024 * 1000;
private static final int ROWS_PER_GB = ONE_GB / ROW_LENGTH;
public static final byte [] FAMILY_NAME = Bytes.toBytes("info");
public static final byte [] QUALIFIER_NAME = Bytes.toBytes("data");
protected static final HTableDescriptor TABLE_DESCRIPTOR;
static {
TABLE_DESCRIPTOR = new HTableDescriptor("TestTable");
TABLE_DESCRIPTOR.addFamily(new HColumnDescriptor(FAMILY_NAME));
}
private static final String RANDOM_READ = "randomRead";
private static final String RANDOM_SEEK_SCAN = "randomSeekScan";
private static final String RANDOM_READ_MEM = "randomReadMem";
private static final String RANDOM_WRITE = "randomWrite";
private static final String SEQUENTIAL_READ = "sequentialRead";
private static final String SEQUENTIAL_WRITE = "sequentialWrite";
private static final String SCAN = "scan";
private static final List<String> COMMANDS =
Arrays.asList(new String [] {RANDOM_READ,
RANDOM_SEEK_SCAN,
RANDOM_READ_MEM,
RANDOM_WRITE,
SEQUENTIAL_READ,
SEQUENTIAL_WRITE,
SCAN});
volatile HBaseConfiguration conf;
private boolean miniCluster = false;
private boolean nomapred = false;
private int N = 1;
private int R = ROWS_PER_GB;
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("startRow=(\\d+),\\s+" +
"perClientRunRows=(\\d+),\\s+totalRows=(\\d+),\\s+clients=(\\d+)");
/**
* 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 c Configuration object
*/
public PerformanceEvaluation(final HBaseConfiguration c) {
this.conf = c;
}
/**
* Implementations can have their status set.
*/
static 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 int startRow = 0;
private int rows = 0;
private int totalRows = 0;
private int clients = 0;
public PeInputSplit() {
this.startRow = 0;
this.rows = 0;
this.totalRows = 0;
this.clients = 0;
}
public PeInputSplit(int startRow, int rows, int totalRows, int clients) {
this.startRow = startRow;
this.rows = rows;
this.totalRows = totalRows;
this.clients = clients;
}
@Override
public void readFields(DataInput in) throws IOException {
this.startRow = in.readInt();
this.rows = in.readInt();
this.totalRows = in.readInt();
this.clients = in.readInt();
}
@Override
public void write(DataOutput out) throws IOException {
out.writeInt(startRow);
out.writeInt(rows);
out.writeInt(totalRows);
out.writeInt(clients);
}
@Override
public long getLength() throws IOException, InterruptedException {
return 0;
}
@Override
public String[] getLocations() throws IOException, InterruptedException {
return new String[0];
}
public int getStartRow() {
return startRow;
}
public int getRows() {
return rows;
}
public int getTotalRows() {
return totalRows;
}
public int getClients() {
return clients;
}
}
/**
* 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)) {
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()) {
int startRow = Integer.parseInt(m.group(1));
int rows = Integer.parseInt(m.group(2));
int totalRows = Integer.parseInt(m.group(3));
int clients = Integer.parseInt(m.group(4));
LOG.debug("split["+ splitList.size() + "] " +
" startRow=" + startRow +
" rows=" + rows +
" totalRows=" + totalRows +
" clients=" + clients);
PeInputSplit newSplit = new PeInputSplit(startRow, rows, totalRows, clients);
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 = (PeInputSplit)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";
private String cmd;
private PerformanceEvaluation pe;
@Override
protected void setup(Context context) throws IOException, InterruptedException {
this.cmd = context.getConfiguration().get(CMD_KEY);
this.pe = new PerformanceEvaluation(new HBaseConfiguration(context.getConfiguration()));
}
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
long elapsedTime = this.pe.runOneClient(this.cmd, value.getStartRow(),
value.getRows(), value.getTotalRows(), 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 {
boolean tableExists = admin.tableExists(TABLE_DESCRIPTOR.getName());
if (!tableExists) {
admin.createTable(TABLE_DESCRIPTOR);
LOG.info("Table " + TABLE_DESCRIPTOR + " created");
}
return !tableExists;
}
/*
* 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 String cmd)
throws IOException, InterruptedException, ClassNotFoundException {
checkTable(new HBaseAdmin(conf));
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
*/
@SuppressWarnings("unused")
private void doMultipleClients(final String cmd) throws IOException {
final List<Thread> threads = new ArrayList<Thread>(this.N);
final int perClientRows = R/N;
for (int i = 0; i < this.N; i++) {
Thread t = new Thread (Integer.toString(i)) {
@Override
public void run() {
super.run();
PerformanceEvaluation pe = new PerformanceEvaluation(conf);
int index = Integer.parseInt(getName());
try {
long elapsedTime = pe.runOneClient(cmd, index * perClientRows,
perClientRows, R,
new Status() {
public void setStatus(final String msg) throws IOException {
LOG.info("client-" + getName() + " " + msg);
}
});
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());
}
}
}
}
/*
* 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 String cmd) throws IOException,
InterruptedException, ClassNotFoundException {
Path inputDir = writeInputFile(this.conf);
this.conf.set(EvaluationMapTask.CMD_KEY, cmd);
Job job = new Job(this.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,"outputs"));
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 {
FileSystem fs = FileSystem.get(c);
if (!fs.exists(PERF_EVAL_DIR)) {
fs.mkdirs(PERF_EVAL_DIR);
}
SimpleDateFormat formatter = new SimpleDateFormat("yyyyMMddHHmmss");
Path subdir = new Path(PERF_EVAL_DIR, formatter.format(new Date()));
fs.mkdirs(subdir);
Path inputFile = new Path(subdir, "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 = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
", perClientRunRows=" + (perClientRows / 10) +
", totalRows=" + this.R +
", clients=" + this.N;
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 subdir;
}
/*
* A test.
* Subclass to particularize what happens per row.
*/
static abstract class Test {
protected final Random rand = new Random(System.currentTimeMillis());
protected final int startRow;
protected final int perClientRunRows;
protected final int totalRows;
private final Status status;
protected HBaseAdmin admin;
protected HTable table;
protected volatile HBaseConfiguration conf;
Test(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super();
this.startRow = startRow;
this.perClientRunRows = perClientRunRows;
this.totalRows = totalRows;
this.status = status;
this.table = null;
this.conf = conf;
}
private String generateStatus(final int sr, final int i, final int lr) {
return sr + "/" + i + "/" + lr;
}
protected int getReportingPeriod() {
return this.perClientRunRows / 10;
}
void testSetup() throws IOException {
this.admin = new HBaseAdmin(conf);
this.table = new HTable(conf, TABLE_DESCRIPTOR.getName());
this.table.setAutoFlush(false);
this.table.setWriteBufferSize(1024*1024*12);
this.table.setScannerCaching(30);
}
void testTakedown() throws IOException {
this.table.flushCommits();
}
/*
* Run test
* @return Elapsed time.
* @throws IOException
*/
long test() throws IOException {
long elapsedTime;
testSetup();
long startTime = System.currentTimeMillis();
try {
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));
}
}
elapsedTime = System.currentTimeMillis() - startTime;
} finally {
testTakedown();
}
return elapsedTime;
}
/*
* Test for individual row.
* @param i Row index.
*/
abstract void testRow(final int i) throws IOException;
/*
* @return Test name.
*/
abstract String getTestName();
}
class RandomSeekScanTest extends Test {
RandomSeekScanTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, 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);
//int count = 0;
for (Result rr = null; (rr = s.next()) != null;) {
// LOG.info("" + count++ + " " + rr.toString());
}
s.close();
}
@Override
protected int getReportingPeriod() {
//
return this.perClientRunRows / 100;
}
@Override
String getTestName() {
return "randomSeekScanTest";
}
}
class RandomReadTest extends Test {
RandomReadTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, status);
}
@Override
void testRow(final int i) throws IOException {
Get get = new Get(getRandomRow(this.rand, this.totalRows));
get.addColumn(FAMILY_NAME, QUALIFIER_NAME);
this.table.get(get);
}
@Override
protected int getReportingPeriod() {
//
return this.perClientRunRows / 100;
}
@Override
String getTestName() {
return "randomRead";
}
}
class RandomWriteTest extends Test {
RandomWriteTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, status);
}
@Override
void testRow(final int i) throws IOException {
byte [] row = getRandomRow(this.rand, this.totalRows);
Put put = new Put(row);
put.add(FAMILY_NAME, QUALIFIER_NAME, generateValue(this.rand));
table.put(put);
}
@Override
String getTestName() {
return "randomWrite";
}
}
class ScanTest extends Test {
private ResultScanner testScanner;
ScanTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, status);
}
@Override
void testSetup() throws IOException {
super.testSetup();
Scan scan = new Scan(format(this.startRow));
scan.addColumn(FAMILY_NAME, QUALIFIER_NAME);
this.testScanner = table.getScanner(scan);
}
@Override
void testTakedown() throws IOException {
if (this.testScanner != null) {
this.testScanner.close();
}
super.testTakedown();
}
@Override
void testRow(final int i) throws IOException {
testScanner.next();
}
@Override
String getTestName() {
return "scan";
}
}
class SequentialReadTest extends Test {
SequentialReadTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, status);
}
@Override
void testRow(final int i) throws IOException {
Get get = new Get(format(i));
get.addColumn(FAMILY_NAME, QUALIFIER_NAME);
table.get(get);
}
@Override
String getTestName() {
return "sequentialRead";
}
}
class SequentialWriteTest extends Test {
SequentialWriteTest(final HBaseConfiguration conf, final int startRow,
final int perClientRunRows, final int totalRows, final Status status) {
super(conf, startRow, perClientRunRows, totalRows, status);
}
@Override
void testRow(final int i) throws IOException {
Put put = new Put(format(i));
put.add(FAMILY_NAME, QUALIFIER_NAME, generateValue(this.rand));
table.put(put);
}
@Override
String getTestName() {
return "sequentialWrite";
}
}
/*
* Format passed integer.
* @param number
* @return Returns zero-prefixed 10-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[10];
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[] generateValue(final Random r) {
byte [] b = new byte [ROW_LENGTH];
r.nextBytes(b);
return b;
}
static byte [] getRandomRow(final Random random, final int totalRows) {
return format(random.nextInt(Integer.MAX_VALUE) % totalRows);
}
long runOneClient(final String cmd, final int startRow,
final int perClientRunRows, final int totalRows, final Status status)
throws IOException {
status.setStatus("Start " + cmd + " at offset " + startRow + " for " +
perClientRunRows + " rows");
long totalElapsedTime = 0;
if (cmd.equals(RANDOM_READ)) {
Test t = new RandomReadTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else if (cmd.equals(RANDOM_READ_MEM)) {
throw new UnsupportedOperationException("Not yet implemented");
} else if (cmd.equals(RANDOM_WRITE)) {
Test t = new RandomWriteTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else if (cmd.equals(SCAN)) {
Test t = new ScanTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else if (cmd.equals(SEQUENTIAL_READ)) {
Test t = new SequentialReadTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else if (cmd.equals(SEQUENTIAL_WRITE)) {
Test t = new SequentialWriteTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else if (cmd.equals(RANDOM_SEEK_SCAN)) {
Test t = new RandomSeekScanTest(this.conf, startRow, perClientRunRows,
totalRows, status);
totalElapsedTime = t.test();
} else {
throw new IllegalArgumentException("Invalid command value: " + cmd);
}
status.setStatus("Finished " + cmd + " in " + totalElapsedTime +
"ms at offset " + startRow + " for " + perClientRunRows + " rows");
return totalElapsedTime;
}
private void runNIsOne(final String cmd) {
Status status = new Status() {
public void setStatus(String msg) throws IOException {
LOG.info(msg);
}
};
HBaseAdmin admin = null;
try {
admin = new HBaseAdmin(this.conf);
checkTable(admin);
runOneClient(cmd, 0, this.R, this.R, status);
} catch (Exception e) {
LOG.error("Failed", e);
}
}
private void runTest(final String cmd) throws IOException,
InterruptedException, ClassNotFoundException {
if (cmd.equals(RANDOM_READ_MEM)) {
// For this one test, so all fits in memory, make R smaller (See
// pg. 9 of BigTable paper).
R = (this.R / 10) * N;
}
MiniHBaseCluster hbaseMiniCluster = null;
MiniDFSCluster dfsCluster = null;
if (this.miniCluster) {
dfsCluster = new MiniDFSCluster(conf, 2, true, (String[])null);
// mangle the conf so that the fs parameter points to the minidfs we
// just started up
FileSystem fs = dfsCluster.getFileSystem();
conf.set("fs.default.name", fs.getUri().toString());
Path parentdir = fs.getHomeDirectory();
conf.set(HConstants.HBASE_DIR, parentdir.toString());
fs.mkdirs(parentdir);
FSUtils.setVersion(fs, parentdir);
hbaseMiniCluster = new MiniHBaseCluster(this.conf, N);
}
try {
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);
}
} finally {
if(this.miniCluster && hbaseMiniCluster != null) {
hbaseMiniCluster.shutdown();
HBaseTestCase.shutdownDfs(dfsCluster);
}
}
}
private void printUsage() {
printUsage(null);
}
private void printUsage(final String message) {
if (message != null && message.length() > 0) {
System.err.println(message);
}
System.err.println("Usage: java " + this.getClass().getName() +
" [--miniCluster]");
System.err.println(" [--nomapred] [--rows=ROWS] <command> <nclients>");
System.err.println();
System.err.println("Options:");
System.err.println(" miniCluster Run the test on an HBaseMiniCluster");
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();
System.err.println("Command:");
System.err.println(" randomRead Run random read test");
System.err.println(" randomReadMem Run random read test where table " +
"is in memory");
System.err.println(" randomSeekScan Run random seek and scan 100 test");
System.err.println(" randomWrite Run random write test");
System.err.println(" sequentialRead Run sequential read test");
System.err.println(" sequentialWrite Run sequential write test");
System.err.println(" scan Run scan test");
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 " +
"org.apache.hadoop.hbase.PerformanceEvaluation 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;
}
private int doCommandLine(final String[] args) {
// 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 {
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 miniClusterArgKey = "--miniCluster";
if (cmd.startsWith(miniClusterArgKey)) {
this.miniCluster = true;
continue;
}
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;
}
if (COMMANDS.contains(cmd)) {
getArgs(i + 1, args);
runTest(cmd);
errCode = 0;
break;
}
printUsage();
break;
}
} catch (Exception e) {
e.printStackTrace();
}
return errCode;
}
/**
* @param args
*/
public static void main(final String[] args) {
HBaseConfiguration c = new HBaseConfiguration();
System.exit(new PerformanceEvaluation(c).doCommandLine(args));
}
}