- Type Parameters:
T- the type of instances that theBloomFilteraccepts
- All Implemented Interfaces:
Predicate<T>, Serializable, Predicate<T>
T. A Bloom filter offers an approximate containment test
with one-sided error: if it claims that an element is contained in it, this might be in error,
but if it claims that an element is not contained in it, then this is definitely true.
If you are unfamiliar with Bloom filters, this nice tutorial may help you understand how they work.
The false positive probability (FPP) of a Bloom filter is defined as the probability
that mightContain(Object) will erroneously return true for an object that
has not actually been put in the BloomFilter.
Bloom filters are serializable. They also support a more compact serial representation via the
writeTo(OutputStream) and readFrom(InputStream, Funnel) methods. Both serialized forms will continue to be
supported by future versions of this library. However, serial forms generated by newer versions
of the code may not be readable by older versions of the code (e.g., a serialized Bloom filter
generated today may not be readable by a binary that was compiled 6 months ago).
As of Guava 23.0, this class is thread-safe and lock-free. It internally uses atomics and compare-and-swap to ensure correctness when multiple threads are used to access it.
- Since:
- 11.0 (thread-safe since 23.0)
- Author:
- Dimitris Andreou, Kevin Bourrillion
- See Also:
-
Method Summary
Modifier and TypeMethodDescriptionbooleanDeprecated.longReturns an estimate for the total number of distinct elements that have been added to this Bloom filter.copy()Creates a newBloomFilterthat's a copy of this instance.static <T extends @Nullable Object>
BloomFilter<T> Creates aBloomFilterwith the expected number of insertions and a default expected false positive probability of 3%.static <T extends @Nullable Object>
BloomFilter<T> Creates aBloomFilterwith the expected number of insertions and expected false positive probability.static <T extends @Nullable Object>
BloomFilter<T> Creates aBloomFilterwith the expected number of insertions and a default expected false positive probability of 3%.static <T extends @Nullable Object>
BloomFilter<T> Creates aBloomFilterwith the expected number of insertions and expected false positive probability.booleanIndicates whether another object is equal to this predicate.doubleReturns the probability that mightContain(Object) will erroneously returntruefor an object that has not actually been put in theBloomFilter.inthashCode()booleanisCompatible(BloomFilter<T> that) Determines whether a given Bloom filter is compatible with this Bloom filter.booleanmightContain(T object) Returnstrueif the element might have been put in this Bloom filter,falseif this is definitely not the case.booleanPuts an element into thisBloomFilter.voidputAll(BloomFilter<T> that) Combines this Bloom filter with another Bloom filter by performing a bitwise OR of the underlying data.static <T extends @Nullable Object>
BloomFilter<T> readFrom(InputStream in, Funnel<? super T> funnel) Reads a byte stream, which was written by writeTo(OutputStream), into aBloomFilter.booleanDeprecated.Provided only to satisfy thePredicateinterface; usemightContain(T)instead.static <T extends @Nullable Object>
Collector<T, ?, BloomFilter<T>> toBloomFilter(Funnel<? super T> funnel, long expectedInsertions) Returns aCollectorexpecting the specified number of insertions, and yielding aBloomFilterwith false positive probability 3%.static <T extends @Nullable Object>
Collector<T, ?, BloomFilter<T>> toBloomFilter(Funnel<? super T> funnel, long expectedInsertions, double fpp) Returns aCollectorexpecting the specified number of insertions, and yielding aBloomFilterwith the specified expected false positive probability.voidwriteTo(OutputStream out) Writes thisBloomFilterto an output stream, with a custom format (not Java serialization).
-
Method Details
-
copy
Creates a newBloomFilterthat's a copy of this instance. The new instance is equal to this instance but shares no mutable state.- Since:
- 12.0
-
mightContain
Returnstrueif the element might have been put in this Bloom filter,falseif this is definitely not the case. -
apply
Deprecated.Provided only to satisfy thePredicateinterface; usemightContain(T)instead.Description copied from interface:PredicateReturns the result of applying this predicate toinput(Java 8+ users, see notes in the class documentation above). This method is generally expected, but not absolutely required, to have the following properties:- Its execution does not cause any observable side effects.
- The computation is consistent with equals; that is,
Objects.equal(a, b)implies thatpredicate.apply(a) == predicate.apply(b)).
-
test
Deprecated.Provided only to satisfy thePredicateinterface; usemightContain(T)instead. -
put
Puts an element into thisBloomFilter. Ensures that subsequent invocations ofmightContain(Object)with the same element will always returntrue.- Returns:
- true if the Bloom filter's bits changed as a result of this operation. If the bits
changed, this is definitely the first time
objecthas been added to the filter. If the bits haven't changed, this might be the first timeobjecthas been added to the filter. Note thatput(t)always returns the opposite result to whatmightContain(t)would have returned at the time it is called. - Since:
- 12.0 (present in 11.0 with
voidreturn type})
-
expectedFpp
public double expectedFpp()Returns the probability that mightContain(Object) will erroneously returntruefor an object that has not actually been put in theBloomFilter.Ideally, this number should be close to the
fppparameter passed in create(Funnel, int, double), or smaller. If it is significantly higher, it is usually the case that too many elements (more than expected) have been put in theBloomFilter, degenerating it.- Since:
- 14.0 (since 11.0 as expectedFalsePositiveProbability())
-
approximateElementCount
public long approximateElementCount()Returns an estimate for the total number of distinct elements that have been added to this Bloom filter. This approximation is reasonably accurate if it does not exceed the value ofexpectedInsertionsthat was used when constructing the filter.- Since:
- 22.0
-
isCompatible
Determines whether a given Bloom filter is compatible with this Bloom filter. For two Bloom filters to be compatible, they must:- not be the same instance
- have the same number of hash functions
- have the same bit size
- have the same strategy
- have equal funnels
- Parameters:
that- The Bloom filter to check for compatibility.- Since:
- 15.0
-
putAll
Combines this Bloom filter with another Bloom filter by performing a bitwise OR of the underlying data. The mutations happen to this instance. Callers must ensure the Bloom filters are appropriately sized to avoid saturating them.- Parameters:
that- The Bloom filter to combine this Bloom filter with. It is not mutated.- Throws:
IllegalArgumentException- ifisCompatible(that) == false- Since:
- 15.0
-
equals
Description copied from interface:PredicateIndicates whether another object is equal to this predicate.Warning: do not depend on the behavior of this method.
Historically,
Predicateinstances in this library have implemented this method to recognize certain cases where distinctPredicateinstances would in fact behave identically. However, as code migrates tojava.util.function, that behavior will disappear. It is best not to depend on it. -
hashCode
-
toBloomFilter
public static <T extends @Nullable Object> Collector<T, ?, BloomFilter<T>> toBloomFilter(Funnel<? super T> funnel, long expectedInsertions) Returns aCollectorexpecting the specified number of insertions, and yielding aBloomFilterwith false positive probability 3%.Note that if the
Collectorreceives significantly more elements than specified, the resultingBloomFilterwill suffer a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positive- Returns:
- a
Collectorgenerating aBloomFilterof the received elements - Since:
- 23.0 (but only since 33.4.0 in the Android flavor)
-
toBloomFilter
public static <T extends @Nullable Object> Collector<T, ?, BloomFilter<T>> toBloomFilter(Funnel<? super T> funnel, long expectedInsertions, double fpp) Returns aCollectorexpecting the specified number of insertions, and yielding aBloomFilterwith the specified expected false positive probability.Note that if the
Collectorreceives significantly more elements than specified, the resultingBloomFilterwill suffer a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positivefpp- the desired false positive probability (must be positive and less than 1.0)- Returns:
- a
Collectorgenerating aBloomFilterof the received elements - Since:
- 23.0 (but only since 33.4.0 in the Android flavor)
-
create
public static <T extends @Nullable Object> BloomFilter<T> create(Funnel<? super T> funnel, int expectedInsertions, double fpp) Creates aBloomFilterwith the expected number of insertions and expected false positive probability.Note that overflowing a
BloomFilterwith significantly more elements than specified, will result in its saturation, and a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positivefpp- the desired false positive probability (must be positive and less than 1.0)- Returns:
- a
BloomFilter
-
create
public static <T extends @Nullable Object> BloomFilter<T> create(Funnel<? super T> funnel, long expectedInsertions, double fpp) Creates aBloomFilterwith the expected number of insertions and expected false positive probability.Note that overflowing a
BloomFilterwith significantly more elements than specified, will result in its saturation, and a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positivefpp- the desired false positive probability (must be positive and less than 1.0)- Returns:
- a
BloomFilter - Since:
- 19.0
-
create
public static <T extends @Nullable Object> BloomFilter<T> create(Funnel<? super T> funnel, int expectedInsertions) Creates aBloomFilterwith the expected number of insertions and a default expected false positive probability of 3%.Note that overflowing a
BloomFilterwith significantly more elements than specified, will result in its saturation, and a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positive- Returns:
- a
BloomFilter
-
create
public static <T extends @Nullable Object> BloomFilter<T> create(Funnel<? super T> funnel, long expectedInsertions) Creates aBloomFilterwith the expected number of insertions and a default expected false positive probability of 3%.Note that overflowing a
BloomFilterwith significantly more elements than specified, will result in its saturation, and a sharp deterioration of its false positive probability.The constructed
BloomFilterwill be serializable if the providedFunnel<T>is.It is recommended that the funnel be implemented as a Java enum. This has the benefit of ensuring proper serialization and deserialization, which is important since
equals(Object)also relies on object identity of funnels.- Parameters:
funnel- the funnel of T's that the constructedBloomFilterwill useexpectedInsertions- the number of expected insertions to the constructedBloomFilter; must be positive- Returns:
- a
BloomFilter - Since:
- 19.0
-
writeTo
Writes thisBloomFilterto an output stream, with a custom format (not Java serialization). This has been measured to save at least 400 bytes compared to regular serialization.Use readFrom(InputStream, Funnel) to reconstruct the written BloomFilter.
- Throws:
IOException
-
readFrom
public static <T extends @Nullable Object> BloomFilter<T> readFrom(InputStream in, Funnel<? super T> funnel) throws IOException Reads a byte stream, which was written by writeTo(OutputStream), into aBloomFilter.The
Funnelto be used is not encoded in the stream, so it must be provided here. Warning: the funnel provided must behave identically to the one used to populate the original Bloom filter!- Throws:
IOException- if the InputStream throws anIOException, or if its data does not appear to be a BloomFilter serialized using the writeTo(OutputStream) method.
-
Predicateinterface; usemightContain(T)instead.