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BloomFiltersTest.java
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package interview.algorithm;
import org.junit.Assert;
import org.junit.Test;
import java.util.HashSet;
/**
* 如何判断一个元素在亿级数据中是否存在？
* <p>
* 为了方便调试加入了 GC 日志的打印，以及内存溢出后 Dump 内存。
* -Xms64m -Xmx64m -XX:+PrintHeapAtGC -XX:+HeapDumpOnOutOfMemoryError
*/
public class BloomFiltersTest {
@Test
public void hashMapTest() {
long start = System.currentTimeMillis();
HashSet<Integer> hashSet = new HashSet<>(10000000);
for (int i = 0; i < 10000000; i++) {
hashSet.add(i);
}
Assert.assertTrue(hashSet.contains(1));
Assert.assertTrue(hashSet.contains(2));
Assert.assertTrue(hashSet.contains(3));
long end = System.currentTimeMillis();
System.out.println("执行时间：" + (end - start));
}
@Test
public void bloomFilterTest() {
long start = System.currentTimeMillis();
BloomFilters bloomFilters = new BloomFilters(10000000);
for (int i = 0; i < 10000000; i++) {
bloomFilters.add(i + "");
}
Assert.assertTrue(bloomFilters.check(1 + ""));
Assert.assertTrue(bloomFilters.check(2 + ""));
Assert.assertTrue(bloomFilters.check(3 + ""));
Assert.assertTrue(bloomFilters.check(999999 + ""));
Assert.assertFalse(bloomFilters.check(400230340 + ""));
long end = System.currentTimeMillis();
System.out.println("执行时间：" + (end - start));
}
@Test
public void guavaTest() {
long star = System.currentTimeMillis();
/* BloomFilter<Integer> filter = BloomFilter.create(
Funnels.integerFunnel(),
10000000,
0.01);
for (int i = 0; i < 10000000; i++) {
filter.put(i);
}
Assert.assertTrue(filter.mightContain(1));
Assert.assertTrue(filter.mightContain(2));
Assert.assertTrue(filter.mightContain(3));
Assert.assertFalse(filter.mightContain(10000000));*/
long end = System.currentTimeMillis();
System.out.println("执行时间：" + (end - star));
}
}