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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*
*/
package org.apache.directory.mavibot.btree;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.fail;
import java.io.IOException;
import java.util.Random;
import java.util.concurrent.CountDownLatch;
import org.apache.directory.mavibot.btree.BTree;
import org.apache.directory.mavibot.btree.Tuple;
import org.apache.directory.mavibot.btree.TupleCursor;
import org.apache.directory.mavibot.btree.exception.KeyNotFoundException;
import org.apache.directory.mavibot.btree.serializer.LongSerializer;
import org.apache.directory.mavibot.btree.serializer.StringSerializer;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
/**
* A class to test multi-threaded operations on the btree
*
* @author <a href="mailto:dev@directory.apache.org">Apache Directory Project</a>
*/
public class MultiThreadedInMemoryBtreeTest
{
/** The btree we use */
private static BTree<Long, String> btree;
/**
* Create the btree once
* @throws IOException If the creation failed
*/
@BeforeClass
public static void setup() throws IOException
{
btree = BTreeFactory.createInMemoryBTree( "test", new LongSerializer(), new StringSerializer() );
}
/**
* Close the btree
*/
@AfterClass
public static void shutdown() throws IOException
{
btree.close();
}
/**
* Create a btree with 50 000 elements in it
* @throws IOException If the creation failed
*/
private void create50KBTree() throws IOException
{
Random random = new Random( System.nanoTime() );
int nbElems = 50000;
// Create a BTree with 50 000 entries
btree.setPageSize( 32 );
for ( int i = 0; i < nbElems; i++ )
{
Long key = ( long ) random.nextLong();
String value = Long.toString( key );
try
{
btree.insert( key, value );
if ( i % 10000 == 0 )
{
System.out.println( "Written " + i + " elements" );
}
}
catch ( Exception e )
{
e.printStackTrace();
System.out.println( btree );
System.out.println( "Error while adding " + value );
return;
}
}
}
/**
* Browse the btree in its current revision, reading all of its elements
* @return The number of read elements
* @throws IOException If the browse failed
*/
private int testBrowse() throws IOException
{
TupleCursor<Long, String> cursor = btree.browse();
int nb = 0;
long elem = Long.MIN_VALUE;
while ( cursor.hasNext() )
{
Tuple<Long, String> res = cursor.next();
if ( res.getKey() > elem )
{
elem = res.getKey();
nb++;
}
}
cursor.close();
return nb;
}
/**
* Check that we can read the btree while it is being modified. We will start
* 100 readers for one writer.
*
* @throws InterruptedException If the btree access failed.
*/
@Test
public void testBrowseMultiThreads() throws InterruptedException
{
int nbThreads = 100;
final CountDownLatch latch = new CountDownLatch( nbThreads );
Thread writer = new Thread()
{
public void run()
{
try
{
create50KBTree();
}
catch ( Exception e )
{
}
}
};
long t0 = System.currentTimeMillis();
// Start the writer
writer.start();
for ( int i = 0; i < nbThreads; i++ )
{
Thread test = new Thread()
{
public void run()
{
try
{
int res = 0;
int previous = -1;
while ( previous < res )
{
previous = res;
res = testBrowse();
Thread.sleep( 500 );
}
latch.countDown();
}
catch ( Exception e )
{
}
}
};
// Start each reader
test.start();
}
// Wait for all the readers to be done
latch.await();
long t1 = System.currentTimeMillis();
System.out.println( " Time to create 50K entries and to have " + nbThreads + " threads reading them : "
+ ( ( t1 - t0 ) / 1000 ) + " seconds" );
}
/**
* Test that we can use many threads inserting data in a BTree
* @throws InterruptedException
*/
@Test
public void testInsertMultiThreads() throws InterruptedException, IOException
{
int nbThreads = 100;
final CountDownLatch latch = new CountDownLatch( nbThreads );
//Thread.sleep( 60000L );
long t0 = System.currentTimeMillis();
for ( int i = 0; i < nbThreads; i++ )
{
final long prefix = i;
Thread test = new Thread()
{
public void run()
{
try
{
// Inject 1000 elements
for ( int j = 0; j < 1000; j++ )
{
long value = prefix * 1000 + j;
btree.insert( value, Long.toString( value ) );
/*
if ( j % 10000 == 0 )
{
System.out.println( "Thread " + Thread.currentThread().getName() + " flushed " + j
+ " elements" );
}
*/
}
latch.countDown();
}
catch ( Exception e )
{
}
}
};
// Start each reader
test.start();
}
// Wait for all the readers to be done
latch.await();
long t1 = System.currentTimeMillis();
// Check that the tree contains all the values
try
{
for ( long i = 0L; i < 10000L; i++ )
{
assertEquals( Long.toString( i ), btree.get( i ) );
}
}
catch ( KeyNotFoundException knfe )
{
fail();
}
System.out.println( " Time to create 1M entries : "
+ ( ( t1 - t0 ) / 1000 ) + " seconds" );
}
}