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HBASE-2843 Re-add bloomfilter test over-zealously removed by HBASE-2625 

git-svn-id: https://svn.apache.org/repos/asf/hbase/trunk@964990 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Michael Stack 2010-07-17 00:45:40 +00:00
parent 7557b73e90
commit 509d2160d5
2 changed files with 185 additions and 0 deletions
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CHANGES.txt
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@ -438,6 +438,7 @@ Release 0.21.0 - Unreleased
in the right state (Karthik Ranganathan via JD)
HBASE-2727 Splits writing one file only is untenable; need dir of recovered
edits ordered by sequenceid
HBASE-2843 Readd bloomfilter test over zealously removed by HBASE-2625
IMPROVEMENTS
HBASE-1760 Cleanup TODOs in HTable

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src/test/java/org/apache/hadoop/hbase/util/TestByteBloomFilter.java Normal file
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@ -0,0 +1,184 @@
/*
* Copyright 2010 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.util;
import java.io.ByteArrayOutputStream;
import java.io.DataOutputStream;
import java.nio.ByteBuffer;
import java.util.BitSet;
import junit.framework.TestCase;
public class TestByteBloomFilter extends TestCase {
public void testBasicBloom() throws Exception {
ByteBloomFilter bf1 = new ByteBloomFilter(1000, (float)0.01, Hash.MURMUR_HASH, 0);
ByteBloomFilter bf2 = new ByteBloomFilter(1000, (float)0.01, Hash.MURMUR_HASH, 0);
bf1.allocBloom();
bf2.allocBloom();
// test 1: verify no fundamental false negatives or positives
byte[] key1 = {1,2,3,4,5,6,7,8,9};
byte[] key2 = {1,2,3,4,5,6,7,8,7};
bf1.add(key1);
bf2.add(key2);
assertTrue(bf1.contains(key1));
assertFalse(bf1.contains(key2));
assertFalse(bf2.contains(key1));
assertTrue(bf2.contains(key2));
byte [] bkey = {1,2,3,4};
byte [] bval = "this is a much larger byte array".getBytes();
bf1.add(bkey);
bf1.add(bval, 1, bval.length-1);
assertTrue( bf1.contains(bkey) );
assertTrue( bf1.contains(bval, 1, bval.length-1) );
assertFalse( bf1.contains(bval) );
assertFalse( bf1.contains(bval) );
// test 2: serialization & deserialization.
// (convert bloom to byte array & read byte array back in as input)
ByteArrayOutputStream bOut = new ByteArrayOutputStream();
bf1.writeBloom(new DataOutputStream(bOut));
ByteBuffer bb = ByteBuffer.wrap(bOut.toByteArray());
ByteBloomFilter newBf1 = new ByteBloomFilter(1000, (float)0.01,
Hash.MURMUR_HASH, 0);
assertTrue(newBf1.contains(key1, bb));
assertFalse(newBf1.contains(key2, bb));
assertTrue( newBf1.contains(bkey, bb) );
assertTrue( newBf1.contains(bval, 1, bval.length-1, bb) );
assertFalse( newBf1.contains(bval, bb) );
assertFalse( newBf1.contains(bval, bb) );
System.out.println("Serialized as " + bOut.size() + " bytes");
assertTrue(bOut.size() - bf1.byteSize < 10); //... allow small padding
}
public void testBloomFold() throws Exception {
// test: foldFactor < log(max/actual)
ByteBloomFilter b = new ByteBloomFilter(1003, (float)0.01, Hash.MURMUR_HASH, 2);
b.allocBloom();
int origSize = b.getByteSize();
assertEquals(1204, origSize);
for (int i = 0; i < 12; ++i) {
b.add(Bytes.toBytes(i));
}
b.compactBloom();
assertEquals(origSize>>2, b.getByteSize());
int falsePositives = 0;
for (int i = 0; i < 25; ++i) {
if (b.contains(Bytes.toBytes(i))) {
if(i >= 12) falsePositives++;
} else {
assertFalse(i < 12);
}
}
assertTrue(falsePositives <= 1);
// test: foldFactor > log(max/actual)
}
public void testBloomPerf() throws Exception {
// add
float err = (float)0.01;
ByteBloomFilter b = new ByteBloomFilter(10*1000*1000, (float)err, Hash.MURMUR_HASH, 3);
b.allocBloom();
long startTime = System.currentTimeMillis();
int origSize = b.getByteSize();
for (int i = 0; i < 1*1000*1000; ++i) {
b.add(Bytes.toBytes(i));
}
long endTime = System.currentTimeMillis();
System.out.println("Total Add time = " + (endTime - startTime) + "ms");
// fold
startTime = System.currentTimeMillis();
b.compactBloom();
endTime = System.currentTimeMillis();
System.out.println("Total Fold time = " + (endTime - startTime) + "ms");
assertTrue(origSize >= b.getByteSize()<<3);
// test
startTime = System.currentTimeMillis();
int falsePositives = 0;
for (int i = 0; i < 2*1000*1000; ++i) {
if (b.contains(Bytes.toBytes(i))) {
if(i >= 1*1000*1000) falsePositives++;
} else {
assertFalse(i < 1*1000*1000);
}
}
endTime = System.currentTimeMillis();
System.out.println("Total Contains time = " + (endTime - startTime) + "ms");
System.out.println("False Positive = " + falsePositives);
assertTrue(falsePositives <= (1*1000*1000)*err);
// test: foldFactor > log(max/actual)
}
public void testDynamicBloom() throws Exception {
int keyInterval = 1000;
float err = (float)0.01;
BitSet valid = new BitSet(keyInterval*4);
DynamicByteBloomFilter bf1 = new DynamicByteBloomFilter(keyInterval, err,
Hash.MURMUR_HASH);
bf1.allocBloom();
for (int i = 0; i < keyInterval*4; ++i) { // add
if (Math.random() > 0.5) {
bf1.add(Bytes.toBytes(i));
valid.set(i);
}
}
assertTrue(2 <= bf1.bloomCount() && bf1.bloomCount() <= 3);
// test serialization/deserialization
ByteArrayOutputStream metaOut = new ByteArrayOutputStream();
ByteArrayOutputStream dataOut = new ByteArrayOutputStream();
bf1.getMetaWriter().write(new DataOutputStream(metaOut));
bf1.getDataWriter().write(new DataOutputStream(dataOut));
ByteBuffer bb = ByteBuffer.wrap(dataOut.toByteArray());
DynamicByteBloomFilter newBf1 = new DynamicByteBloomFilter(
ByteBuffer.wrap(metaOut.toByteArray()));
int falsePositives = 0;
for (int i = 0; i < keyInterval*4; ++i) { // check
if (newBf1.contains(Bytes.toBytes(i), bb)) {
if (!valid.get(i)) ++falsePositives;
} else {
if (valid.get(i)) {
assert false;
}
}
}
// note that actualErr = err * bloomCount
// error rate should be roughly: (keyInterval*2)*(err*2), allow some tolerance
System.out.println("False positives: " + falsePositives);
assertTrue(falsePositives <= (keyInterval*5)*err);
}
}