com.fitbur.guava.common.hash.HashFunction Maven / Gradle / Ivy
/*
* Copyright (C) 2011 The Guava Authors
*
* Licensed 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 com.fitbur.guava.common.hash;
import com.fitbur.guava.common.annotations.Beta;
import com.fitbur.guava.common.primitives.Ints;
import java.nio.charset.Charset;
/**
* A hash function is a collision-averse pure function that maps an arbitrary block of
* data to a number called a hash code.
*
* Definition
*
* Unpacking this definition:
*
*
* - block of data: the input for a hash function is always, in concept, an
* ordered byte array. This hashing API accepts an arbitrary sequence of byte and
* multibyte values (via {@link Hasher}), but this is merely a convenience; these are
* always translated into raw byte sequences under the covers.
*
*
- hash code: each hash function always yields hash codes of the same fixed bit
* length (given by {@link #bits}). For example, {@link Hashing#sha1} produces a
* 160-bit number, while {@link Hashing#murmur3_32()} yields only 32 bits. Because a
* {@code long} value is clearly insufficient to hold all hash code values, this API
* represents a hash code as an instance of {@link HashCode}.
*
*
- pure function: the value produced must depend only on the input bytes, in
* the order they appear. Input data is never modified. {@link HashFunction} instances
* should always be stateless, and therefore thread-safe.
*
*
- collision-averse: while it can't be helped that a hash function will
* sometimes produce the same hash code for distinct inputs (a "collision"), every
* hash function strives to some degree to make this unlikely. (Without this
* condition, a function that always returns zero could be called a hash function. It
* is not.)
*
*
* Summarizing the last two points: "equal yield equal always; unequal yield
* unequal often." This is the most important characteristic of all hash functions.
*
*
Desirable properties
*
* A high-quality hash function strives for some subset of the following virtues:
*
*
* - collision-resistant: while the definition above requires making at least
* some token attempt, one measure of the quality of a hash function is how
* well it succeeds at this goal. Important note: it may be easy to achieve the
* theoretical minimum collision rate when using completely random sample
* input. The true test of a hash function is how it performs on representative
* real-world data, which tends to contain many hidden patterns and clumps. The goal
* of a good hash function is to stamp these patterns out as thoroughly as possible.
*
*
- bit-dispersing: masking out any single bit from a hash code should
* yield only the expected twofold increase to all collision rates. Informally,
* the "information" in the hash code should be as evenly "spread out" through the
* hash code's bits as possible. The result is that, for example, when choosing a
* bucket in a hash table of size 2^8, any eight bits could be consistently
* used.
*
*
- cryptographic: certain hash functions such as {@link Hashing#sha512} are
* designed to make it as infeasible as possible to reverse-engineer the input that
* produced a given hash code, or even to discover any two distinct inputs that
* yield the same result. These are called cryptographic hash functions. But,
* whenever it is learned that either of these feats has become computationally
* feasible, the function is deemed "broken" and should no longer be used for secure
* purposes. (This is the likely eventual fate of all cryptographic hashes.)
*
*
- fast: perhaps self-explanatory, but often the most important consideration.
* We have published microbenchmark results for many
* common hash functions.
*
*
* Providing input to a hash function
*
* The primary way to provide the data that your hash function should act on is via a
* {@link Hasher}. Obtain a new hasher from the hash function using {@link #newHasher},
* "push" the relevant data into it using methods like {@link Hasher#putBytes(byte[])},
* and finally ask for the {@code HashCode} when finished using {@link Hasher#hash}. (See
* an {@linkplain #newHasher example} of this.)
*
*
If all you want to hash is a single byte array, string or {@code long} value, there
* are convenient shortcut methods defined directly on {@link HashFunction} to make this
* easier.
*
*
Hasher accepts primitive data types, but can also accept any Object of type {@code
* T} provided that you implement a {@link Funnel Funnel} to specify how to "feed" data
* from that object into the function. (See {@linkplain Hasher#putObject an example} of
* this.)
*
* Compatibility note: Throughout this API, multibyte values are always
* interpreted in little-endian order. That is, hashing the byte array {@code
* {0x01, 0x02, 0x03, 0x04}} is equivalent to hashing the {@code int} value {@code
* 0x04030201}. If this isn't what you need, methods such as {@link Integer#reverseBytes}
* and {@link Ints#toByteArray} will help.
*
*
Relationship to {@link Object#hashCode}
*
* Java's baked-in concept of hash codes is constrained to 32 bits, and provides no
* separation between hash algorithms and the data they act on, so alternate hash
* algorithms can't be easily substituted. Also, implementations of {@code hashCode} tend
* to be poor-quality, in part because they end up depending on other existing
* poor-quality {@code hashCode} implementations, including those in many JDK classes.
*
*
{@code Object.hashCode} implementations tend to be very fast, but have weak
* collision prevention and no expectation of bit dispersion. This leaves them
* perfectly suitable for use in hash tables, because extra collisions cause only a slight
* performance hit, while poor bit dispersion is easily corrected using a secondary hash
* function (which all reasonable hash table implementations in Java use). For the many
* uses of hash functions beyond data structures, however, {@code Object.hashCode} almost
* always falls short -- hence this library.
*
* @author Kevin Bourrillion
* @since 11.0
*/
@Beta
public interface HashFunction {
/**
* Begins a new hash code computation by returning an initialized, stateful {@code
* Hasher} instance that is ready to receive data. Example:
{@code
*
* HashFunction hf = Hashing.md5();
* HashCode hc = hf.newHasher()
* .putLong(id)
* .putBoolean(isActive)
* .hash();}
*/
Hasher newHasher();
/**
* Begins a new hash code computation as {@link #newHasher()}, but provides a hint of the
* expected size of the input (in bytes). This is only important for non-streaming hash
* functions (hash functions that need to buffer their whole input before processing any
* of it).
*/
Hasher newHasher(int expectedInputSize);
/**
* Shortcut for {@code newHasher().putInt(input).hash()}; returns the hash code for the given
* {@code int} value, interpreted in little-endian byte order. The implementation might
* perform better than its longhand equivalent, but should not perform worse.
*
* @since 12.0
*/
HashCode hashInt(int input);
/**
* Shortcut for {@code newHasher().putLong(input).hash()}; returns the hash code for the
* given {@code long} value, interpreted in little-endian byte order. The implementation
* might perform better than its longhand equivalent, but should not perform worse.
*/
HashCode hashLong(long input);
/**
* Shortcut for {@code newHasher().putBytes(input).hash()}. The implementation
* might perform better than its longhand equivalent, but should not perform
* worse.
*/
HashCode hashBytes(byte[] input);
/**
* Shortcut for {@code newHasher().putBytes(input, off, len).hash()}. The implementation
* might perform better than its longhand equivalent, but should not perform
* worse.
*
* @throws IndexOutOfBoundsException if {@code off < 0} or {@code off + len > bytes.length}
* or {@code len < 0}
*/
HashCode hashBytes(byte[] input, int off, int len);
/**
* Shortcut for {@code newHasher().putUnencodedChars(input).hash()}. The implementation
* might perform better than its longhand equivalent, but should not perform worse.
* Note that no character encoding is performed; the low byte and high byte of each {@code char}
* are hashed directly (in that order).
*
* @since 15.0 (since 11.0 as hashString(CharSequence)).
*/
HashCode hashUnencodedChars(CharSequence input);
/**
* Shortcut for {@code newHasher().putString(input, charset).hash()}. Characters are encoded
* using the given {@link Charset}. The implementation might perform better than its
* longhand equivalent, but should not perform worse.
*/
HashCode hashString(CharSequence input, Charset charset);
/**
* Shortcut for {@code newHasher().putObject(instance, funnel).hash()}. The implementation
* might perform better than its longhand equivalent, but should not perform worse.
*
* @since 14.0
*/
HashCode hashObject(T instance, Funnel funnel);
/**
* Returns the number of bits (a multiple of 32) that each hash code produced by this
* hash function has.
*/
int bits();
}