T
 the type of instances that the BloomFilter
accepts@Beta public final class BloomFilter<T> extends Object implements Predicate<T>, Serializable
T
. A Bloom filter offers an approximate containment test
with onesided 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(java.io.OutputStream)
and readFrom(java.io.InputStream, com.google.common.hash.Funnel<? super T>)
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 threadsafe and lockfree. It internally uses atomics and compareandswap to ensure correctness when multiple threads are used to access it.
Modifier and Type  Method and Description 

boolean 
apply(T input)
Deprecated.
Provided only to satisfy the
Predicate interface; use mightContain(T)
instead. 
long 
approximateElementCount()
Returns an estimate for the total number of distinct elements that have been added to this
Bloom filter.

BloomFilter<T> 
copy()
Creates a new
BloomFilter that's a copy of this instance. 
static <T> BloomFilter<T> 
create(Funnel<? super T> funnel,
int expectedInsertions)
Creates a
BloomFilter with the expected number of insertions and a
default expected false positive probability of 3%. 
static <T> BloomFilter<T> 
create(Funnel<? super T> funnel,
int expectedInsertions,
double fpp)
Creates a
BloomFilter with the expected number of insertions and
expected false positive probability. 
static <T> BloomFilter<T> 
create(Funnel<? super T> funnel,
long expectedInsertions)
Creates a
BloomFilter with the expected number of insertions and a
default expected false positive probability of 3%. 
static <T> BloomFilter<T> 
create(Funnel<? super T> funnel,
long expectedInsertions,
double fpp)
Creates a
BloomFilter with the expected number of insertions and
expected false positive probability. 
boolean 
equals(Object object)
Indicates whether another object is equal to this predicate.

double 
expectedFpp()
Returns the probability that mightContain(Object) will erroneously return
true for an object that has not actually been put in the BloomFilter . 
int 
hashCode() 
boolean 
isCompatible(BloomFilter<T> that)
Determines whether a given Bloom filter is compatible with this Bloom filter.

boolean 
mightContain(T object)
Returns
true if the element might have been put in this Bloom filter,
false if this is definitely not the case. 
boolean 
put(T object)
Puts an element into this
BloomFilter . 
void 
putAll(BloomFilter<T> that)
Combines this Bloom filter with another Bloom filter by performing a bitwise OR of the
underlying data.

static <T> BloomFilter<T> 
readFrom(InputStream in,
Funnel<? super T> funnel)
Reads a byte stream, which was written by writeTo(OutputStream), into a
BloomFilter . 
void 
writeTo(OutputStream out)
Writes this
BloomFilter to an output stream, with a custom format (not Java
serialization). 
public BloomFilter<T> copy()
BloomFilter
that's a copy of this instance. The new instance is equal to
this instance but shares no mutable state.public boolean mightContain(T object)
true
if the element might have been put in this Bloom filter,
false
if this is definitely not the case.@Deprecated public boolean apply(T input)
Predicate
interface; use mightContain(T)
instead.Predicate
input
(Java 8 users, see notes in the
class documentation above). This method is generally expected, but not absolutely
required, to have the following properties:
Objects.equal
(a, b)
implies that predicate.apply(a) ==
predicate.apply(b))
.
public boolean put(T object)
BloomFilter
. Ensures that subsequent invocations of mightContain(Object)
with the same element will always return true
.object
has been added to the
filter. If the bits haven't changed, this might be the first time object
has
been added to the filter. Note that put(t)
always returns the opposite
result to what mightContain(t)
would have returned at the time it is called.void
return type})public double expectedFpp()
true
for an object that has not actually been put in the BloomFilter
.
Ideally, this number should be close to the fpp
parameter 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 the
BloomFilter
, degenerating it.
public long approximateElementCount()
expectedInsertions
that was used when constructing the filter.public boolean isCompatible(BloomFilter<T> that)
that
 The Bloom filter to check for compatibility.public void putAll(BloomFilter<T> that)
that
 The Bloom filter to combine this Bloom filter with. It is not mutated.IllegalArgumentException
 if isCompatible(that) == false
public boolean equals(@Nullable Object object)
Predicate
Most implementations will have no reason to override the behavior of Object.equals(java.lang.Object)
.
However, an implementation may also choose to return true
whenever object
is a
Predicate
that it considers interchangeable with this one. "Interchangeable"
typically means that this.apply(t) == that.apply(t)
for all t
of type
T
). Note that a false
result from this method does not imply that the
predicates are known not to be interchangeable.
public static <T> BloomFilter<T> create(Funnel<? super T> funnel, int expectedInsertions, double fpp)
BloomFilter
with the expected number of insertions and
expected false positive probability.
Note that overflowing a BloomFilter
with significantly more elements than specified,
will result in its saturation, and a sharp deterioration of its false positive probability.
The constructed BloomFilter
will be serializable if the provided
Funnel<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(java.lang.Object)
also relies on object identity of funnels.
funnel
 the funnel of T's that the constructed BloomFilter
will useexpectedInsertions
 the number of expected insertions to the constructed
BloomFilter
; must be positivefpp
 the desired false positive probability (must be positive and less than 1.0)BloomFilter
public static <T> BloomFilter<T> create(Funnel<? super T> funnel, long expectedInsertions, double fpp)
BloomFilter
with the expected number of insertions and
expected false positive probability.
Note that overflowing a BloomFilter
with significantly more elements than specified,
will result in its saturation, and a sharp deterioration of its false positive probability.
The constructed BloomFilter
will be serializable if the provided
Funnel<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(java.lang.Object)
also relies on object identity of funnels.
funnel
 the funnel of T's that the constructed BloomFilter
will useexpectedInsertions
 the number of expected insertions to the constructed
BloomFilter
; must be positivefpp
 the desired false positive probability (must be positive and less than 1.0)BloomFilter
public static <T> BloomFilter<T> create(Funnel<? super T> funnel, int expectedInsertions)
BloomFilter
with the expected number of insertions and a
default expected false positive probability of 3%.
Note that overflowing a BloomFilter
with significantly more elements than specified,
will result in its saturation, and a sharp deterioration of its false positive probability.
The constructed BloomFilter
will be serializable if the provided
Funnel<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(java.lang.Object)
also relies on object identity of funnels.
funnel
 the funnel of T's that the constructed BloomFilter
will useexpectedInsertions
 the number of expected insertions to the constructed
BloomFilter
; must be positiveBloomFilter
public static <T> BloomFilter<T> create(Funnel<? super T> funnel, long expectedInsertions)
BloomFilter
with the expected number of insertions and a
default expected false positive probability of 3%.
Note that overflowing a BloomFilter
with significantly more elements than specified,
will result in its saturation, and a sharp deterioration of its false positive probability.
The constructed BloomFilter
will be serializable if the provided
Funnel<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(java.lang.Object)
also relies on object identity of funnels.
funnel
 the funnel of T's that the constructed BloomFilter
will useexpectedInsertions
 the number of expected insertions to the constructed
BloomFilter
; must be positiveBloomFilter
public void writeTo(OutputStream out) throws IOException
BloomFilter
to 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.
IOException
public static <T> BloomFilter<T> readFrom(InputStream in, Funnel<? super T> funnel) throws IOException
BloomFilter
.
The Funnel
to 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!IOException
 if the InputStream throws an IOException
, or if its data does not
appear to be a BloomFilter serialized using the writeTo(OutputStream) method.Copyright © 2010–2017. All rights reserved.