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h2database
Commits
74462788
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74462788
authored
8月 30, 2014
作者:
Thomas Mueller
浏览文件
操作
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电子邮件补丁
差异文件
A minimal perfect hash function tool: use universal hashing callback (with sample implementations)
上级
912789cb
隐藏空白字符变更
内嵌
并排
正在显示
2 个修改的文件
包含
233 行增加
和
42 行删除
+233
-42
TestPerfectHash.java
h2/src/test/org/h2/test/unit/TestPerfectHash.java
+39
-14
MinimalPerfectHash.java
h2/src/tools/org/h2/dev/hash/MinimalPerfectHash.java
+194
-28
没有找到文件。
h2/src/test/org/h2/test/unit/TestPerfectHash.java
浏览文件 @
74462788
...
@@ -5,11 +5,15 @@
...
@@ -5,11 +5,15 @@
*/
*/
package
org
.
h2
.
test
.
unit
;
package
org
.
h2
.
test
.
unit
;
import
java.util.BitSet
;
import
java.util.HashSet
;
import
java.util.HashSet
;
import
java.util.Random
;
import
java.util.Random
;
import
java.util.Set
;
import
java.util.Set
;
import
org.h2.dev.hash.MinimalPerfectHash
;
import
org.h2.dev.hash.MinimalPerfectHash
;
import
org.h2.dev.hash.MinimalPerfectHash.LongHash
;
import
org.h2.dev.hash.MinimalPerfectHash.StringHash
;
import
org.h2.dev.hash.MinimalPerfectHash.UniversalHash
;
import
org.h2.dev.hash.PerfectHash
;
import
org.h2.dev.hash.PerfectHash
;
import
org.h2.test.TestBase
;
import
org.h2.test.TestBase
;
...
@@ -25,8 +29,8 @@ public class TestPerfectHash extends TestBase {
...
@@ -25,8 +29,8 @@ public class TestPerfectHash extends TestBase {
*/
*/
public
static
void
main
(
String
...
a
)
throws
Exception
{
public
static
void
main
(
String
...
a
)
throws
Exception
{
TestPerfectHash
test
=
(
TestPerfectHash
)
TestBase
.
createCaller
().
init
();
TestPerfectHash
test
=
(
TestPerfectHash
)
TestBase
.
createCaller
().
init
();
test
.
test
();
test
.
measure
();
test
.
measure
();
test
.
test
();
}
}
/**
/**
...
@@ -34,9 +38,16 @@ public class TestPerfectHash extends TestBase {
...
@@ -34,9 +38,16 @@ public class TestPerfectHash extends TestBase {
*/
*/
public
void
measure
()
{
public
void
measure
()
{
int
size
=
1000000
;
int
size
=
1000000
;
int
s
;
int
s
=
testMinimal
(
size
);
long
time
=
System
.
currentTimeMillis
();
System
.
out
.
println
((
double
)
s
/
size
+
" bits/key (minimal)"
);
s
=
testMinimal
(
size
);
time
=
System
.
currentTimeMillis
()
-
time
;
System
.
out
.
println
((
double
)
s
/
size
+
" bits/key (minimal) in "
+
time
+
" ms"
);
time
=
System
.
currentTimeMillis
();
s
=
testMinimalWithString
(
size
);
time
=
System
.
currentTimeMillis
()
-
time
;
System
.
out
.
println
((
double
)
s
/
size
+
" bits/key (minimal; String keys) in "
+
time
+
" ms"
);
s
=
test
(
size
,
true
);
s
=
test
(
size
,
true
);
System
.
out
.
println
((
double
)
s
/
size
+
" bits/key (minimal old)"
);
System
.
out
.
println
((
double
)
s
/
size
+
" bits/key (minimal old)"
);
...
@@ -97,27 +108,41 @@ public class TestPerfectHash extends TestBase {
...
@@ -97,27 +108,41 @@ public class TestPerfectHash extends TestBase {
private
int
testMinimal
(
int
size
)
{
private
int
testMinimal
(
int
size
)
{
Random
r
=
new
Random
(
size
);
Random
r
=
new
Random
(
size
);
HashSet
<
Integer
>
set
=
new
HashSet
<
Integer
>();
HashSet
<
Long
>
set
=
new
HashSet
<
Long
>();
while
(
set
.
size
()
<
size
)
{
while
(
set
.
size
()
<
size
)
{
set
.
add
(
r
.
nextInt
());
set
.
add
(
(
long
)
r
.
nextInt
());
}
}
byte
[]
desc
=
MinimalPerfectHash
.
generate
(
set
);
LongHash
hf
=
new
LongHash
();
int
max
=
testMinimal
(
desc
,
set
);
byte
[]
desc
=
MinimalPerfectHash
.
generate
(
set
,
hf
);
int
max
=
testMinimal
(
desc
,
set
,
hf
);
assertEquals
(
size
-
1
,
max
);
return
desc
.
length
*
8
;
}
private
int
testMinimalWithString
(
int
size
)
{
Random
r
=
new
Random
(
size
);
HashSet
<
String
>
set
=
new
HashSet
<
String
>();
while
(
set
.
size
()
<
size
)
{
set
.
add
(
"x "
+
r
.
nextDouble
());
}
StringHash
hf
=
new
StringHash
();
byte
[]
desc
=
MinimalPerfectHash
.
generate
(
set
,
hf
);
int
max
=
testMinimal
(
desc
,
set
,
hf
);
assertEquals
(
size
-
1
,
max
);
assertEquals
(
size
-
1
,
max
);
return
desc
.
length
*
8
;
return
desc
.
length
*
8
;
}
}
private
int
testMinimal
(
byte
[]
desc
,
Set
<
Integer
>
set
)
{
private
<
K
>
int
testMinimal
(
byte
[]
desc
,
Set
<
K
>
set
,
UniversalHash
<
K
>
hf
)
{
int
max
=
-
1
;
int
max
=
-
1
;
HashSet
<
Integer
>
test
=
new
HashSet
<
Integer
>
();
BitSet
test
=
new
BitSet
();
MinimalPerfectHash
hash
=
new
MinimalPerfectHash
(
desc
);
MinimalPerfectHash
<
K
>
hash
=
new
MinimalPerfectHash
<
K
>(
desc
,
hf
);
for
(
int
x
:
set
)
{
for
(
K
x
:
set
)
{
int
h
=
hash
.
get
(
x
);
int
h
=
hash
.
get
(
x
);
assertTrue
(
h
>=
0
);
assertTrue
(
h
>=
0
);
assertTrue
(
h
<=
set
.
size
()
*
3
);
assertTrue
(
h
<=
set
.
size
()
*
3
);
max
=
Math
.
max
(
max
,
h
);
max
=
Math
.
max
(
max
,
h
);
assertFalse
(
test
.
contains
(
h
));
assertFalse
(
test
.
get
(
h
));
test
.
add
(
h
);
test
.
set
(
h
);
}
}
return
max
;
return
max
;
}
}
...
...
h2/src/tools/org/h2/dev/hash/MinimalPerfectHash.java
浏览文件 @
74462788
...
@@ -7,6 +7,7 @@ package org.h2.dev.hash;
...
@@ -7,6 +7,7 @@ package org.h2.dev.hash;
import
java.io.ByteArrayOutputStream
;
import
java.io.ByteArrayOutputStream
;
import
java.io.IOException
;
import
java.io.IOException
;
import
java.nio.charset.Charset
;
import
java.util.ArrayList
;
import
java.util.ArrayList
;
import
java.util.Set
;
import
java.util.Set
;
import
java.util.zip.Deflater
;
import
java.util.zip.Deflater
;
...
@@ -26,8 +27,8 @@ import java.util.zip.Inflater;
...
@@ -26,8 +27,8 @@ import java.util.zip.Inflater;
* At the end of the generation process, the data is compressed using a general
* At the end of the generation process, the data is compressed using a general
* purpose compression tool (Deflate / Huffman coding) down to 2.0 bits per key.
* purpose compression tool (Deflate / Huffman coding) down to 2.0 bits per key.
* The uncompressed data is around 2.2 bits per key. With arithmetic coding,
* The uncompressed data is around 2.2 bits per key. With arithmetic coding,
* about 1.9 bits per key are needed. Generating the hash function takes about
* about 1.9 bits per key are needed. Generating the hash function takes about
4
*
2.5
second per million keys with 8 cores (multithreaded). At the expense of
* second per million keys with 8 cores (multithreaded). At the expense of
* processing time, a lower number of bits per key would be possible (for
* processing time, a lower number of bits per key would be possible (for
* example 1.85 bits per key with 33000 keys, using 10 seconds generation time,
* example 1.85 bits per key with 33000 keys, using 10 seconds generation time,
* with Huffman coding). The algorithm automatically scales with the number of
* with Huffman coding). The algorithm automatically scales with the number of
...
@@ -37,10 +38,18 @@ import java.util.zip.Inflater;
...
@@ -37,10 +38,18 @@ import java.util.zip.Inflater;
* key (the space needed for the uncompressed description, plus 8 bytes for
* key (the space needed for the uncompressed description, plus 8 bytes for
* every top-level bucket).
* every top-level bucket).
* <p>
* <p>
* To protect against hash flooding and similar attacks, cryptographically
* secure functions such as SipHash or SHA-256 can be used. However, such slower
* functions only need to be used in higher recursions levels, so that in the
* normal case (where no attack is happening), only fast, but less secure, hash
* functions are needed.
* <p>
* In-place updating of the hash table is not implemented but possible in
* In-place updating of the hash table is not implemented but possible in
* theory, by patching the hash function description.
* theory, by patching the hash function description.
*
* @param <K> the key type
*/
*/
public
class
MinimalPerfectHash
{
public
class
MinimalPerfectHash
<
K
>
{
/**
/**
* Large buckets are typically divided into buckets of this size.
* Large buckets are typically divided into buckets of this size.
...
@@ -79,6 +88,11 @@ public class MinimalPerfectHash {
...
@@ -79,6 +88,11 @@ public class MinimalPerfectHash {
}
}
SIZE_OFFSETS
[
SIZE_OFFSETS
.
length
-
1
]
=
last
;
SIZE_OFFSETS
[
SIZE_OFFSETS
.
length
-
1
]
=
last
;
}
}
/**
* The universal hash function.
*/
private
final
UniversalHash
<
K
>
hash
;
/**
/**
* The description of the hash function. Used for calculating the hash of a
* The description of the hash function. Used for calculating the hash of a
...
@@ -103,7 +117,8 @@ public class MinimalPerfectHash {
...
@@ -103,7 +117,8 @@ public class MinimalPerfectHash {
*
*
* @param desc the data returned by the generate method
* @param desc the data returned by the generate method
*/
*/
public
MinimalPerfectHash
(
byte
[]
desc
)
{
public
MinimalPerfectHash
(
byte
[]
desc
,
UniversalHash
<
K
>
hash
)
{
this
.
hash
=
hash
;
byte
[]
b
=
data
=
expand
(
desc
);
byte
[]
b
=
data
=
expand
(
desc
);
if
(
b
[
0
]
==
SPLIT_MANY
)
{
if
(
b
[
0
]
==
SPLIT_MANY
)
{
int
split
=
readVarInt
(
b
,
1
);
int
split
=
readVarInt
(
b
,
1
);
...
@@ -130,7 +145,7 @@ public class MinimalPerfectHash {
...
@@ -130,7 +145,7 @@ public class MinimalPerfectHash {
* @param x the key
* @param x the key
* @return the hash value
* @return the hash value
*/
*/
public
int
get
(
int
x
)
{
public
int
get
(
K
x
)
{
return
get
(
0
,
x
,
0
);
return
get
(
0
,
x
,
0
);
}
}
...
@@ -142,14 +157,14 @@ public class MinimalPerfectHash {
...
@@ -142,14 +157,14 @@ public class MinimalPerfectHash {
* @param level the level
* @param level the level
* @return the hash value
* @return the hash value
*/
*/
private
int
get
(
int
pos
,
int
x
,
int
level
)
{
private
int
get
(
int
pos
,
K
x
,
int
level
)
{
int
n
=
readVarInt
(
data
,
pos
);
int
n
=
readVarInt
(
data
,
pos
);
if
(
n
<
2
)
{
if
(
n
<
2
)
{
return
0
;
return
0
;
}
else
if
(
n
>
SPLIT_MANY
)
{
}
else
if
(
n
>
SPLIT_MANY
)
{
int
size
=
getSize
(
n
);
int
size
=
getSize
(
n
);
int
offset
=
getOffset
(
n
,
size
);
int
offset
=
getOffset
(
n
,
size
);
return
hash
(
x
,
level
,
offset
,
size
);
return
hash
(
x
,
hash
,
level
,
offset
,
size
);
}
}
pos
++;
pos
++;
int
split
;
int
split
;
...
@@ -159,7 +174,7 @@ public class MinimalPerfectHash {
...
@@ -159,7 +174,7 @@ public class MinimalPerfectHash {
}
else
{
}
else
{
split
=
n
;
split
=
n
;
}
}
int
h
=
hash
(
x
,
level
,
0
,
split
);
int
h
=
hash
(
x
,
hash
,
level
,
0
,
split
);
int
s
;
int
s
;
if
(
level
==
0
&&
topPos
!=
null
)
{
if
(
level
==
0
&&
topPos
!=
null
)
{
s
=
topSize
[
h
];
s
=
topSize
[
h
];
...
@@ -247,11 +262,11 @@ public class MinimalPerfectHash {
...
@@ -247,11 +262,11 @@ public class MinimalPerfectHash {
* @param set the data
* @param set the data
* @return the hash function description
* @return the hash function description
*/
*/
public
static
byte
[]
generate
(
Set
<
Integer
>
set
)
{
public
static
<
K
>
byte
[]
generate
(
Set
<
K
>
set
,
UniversalHash
<
K
>
hash
)
{
ArrayList
<
Integer
>
list
=
new
ArrayList
<
Integer
>();
ArrayList
<
K
>
list
=
new
ArrayList
<
K
>();
list
.
addAll
(
set
);
list
.
addAll
(
set
);
ByteArrayOutputStream
out
=
new
ByteArrayOutputStream
();
ByteArrayOutputStream
out
=
new
ByteArrayOutputStream
();
generate
(
list
,
0
,
out
);
generate
(
list
,
hash
,
0
,
out
);
return
compress
(
out
.
toByteArray
());
return
compress
(
out
.
toByteArray
());
}
}
...
@@ -262,8 +277,8 @@ public class MinimalPerfectHash {
...
@@ -262,8 +277,8 @@ public class MinimalPerfectHash {
* @param level the recursion level
* @param level the recursion level
* @param out the output stream
* @param out the output stream
*/
*/
static
void
generate
(
ArrayList
<
Integer
>
list
,
int
level
,
static
<
K
>
void
generate
(
ArrayList
<
K
>
list
,
UniversalHash
<
K
>
hash
,
ByteArrayOutputStream
out
)
{
int
level
,
ByteArrayOutputStream
out
)
{
int
size
=
list
.
size
();
int
size
=
list
.
size
();
if
(
size
<=
1
)
{
if
(
size
<=
1
)
{
writeVarInt
(
out
,
size
);
writeVarInt
(
out
,
size
);
...
@@ -271,11 +286,15 @@ public class MinimalPerfectHash {
...
@@ -271,11 +286,15 @@ public class MinimalPerfectHash {
}
}
if
(
size
<=
MAX_SIZE
)
{
if
(
size
<=
MAX_SIZE
)
{
int
maxOffset
=
MAX_OFFSETS
[
size
];
int
maxOffset
=
MAX_OFFSETS
[
size
];
int
[]
hashes
=
new
int
[
size
];
for
(
int
i
=
0
;
i
<
size
;
i
++)
{
hashes
[
i
]
=
hash
.
hashCode
(
list
.
get
(
i
),
level
);
}
nextOffset:
nextOffset:
for
(
int
offset
=
0
;
offset
<
maxOffset
;
offset
++)
{
for
(
int
offset
=
0
;
offset
<
maxOffset
;
offset
++)
{
int
bits
=
0
;
int
bits
=
0
;
for
(
int
i
=
0
;
i
<
size
;
i
++)
{
for
(
int
i
=
0
;
i
<
size
;
i
++)
{
int
x
=
list
.
get
(
i
)
;
int
x
=
hashes
[
i
]
;
int
h
=
hash
(
x
,
level
,
offset
,
size
);
int
h
=
hash
(
x
,
level
,
offset
,
size
);
if
((
bits
&
(
1
<<
h
))
!=
0
)
{
if
((
bits
&
(
1
<<
h
))
!=
0
)
{
continue
nextOffset
;
continue
nextOffset
;
...
@@ -297,29 +316,30 @@ public class MinimalPerfectHash {
...
@@ -297,29 +316,30 @@ public class MinimalPerfectHash {
writeVarInt
(
out
,
SPLIT_MANY
);
writeVarInt
(
out
,
SPLIT_MANY
);
}
}
writeVarInt
(
out
,
split
);
writeVarInt
(
out
,
split
);
ArrayList
<
ArrayList
<
Integer
>>
lists
=
ArrayList
<
ArrayList
<
K
>>
lists
=
new
ArrayList
<
ArrayList
<
Integer
>>(
split
);
new
ArrayList
<
ArrayList
<
K
>>(
split
);
for
(
int
i
=
0
;
i
<
split
;
i
++)
{
for
(
int
i
=
0
;
i
<
split
;
i
++)
{
lists
.
add
(
new
ArrayList
<
Integer
>(
size
/
split
));
lists
.
add
(
new
ArrayList
<
K
>(
size
/
split
));
}
}
for
(
int
i
=
0
;
i
<
size
;
i
++)
{
for
(
int
i
=
0
;
i
<
size
;
i
++)
{
int
x
=
list
.
get
(
i
);
K
x
=
list
.
get
(
i
);
lists
.
get
(
hash
(
x
,
level
,
0
,
split
)).
add
(
x
);
lists
.
get
(
hash
(
x
,
hash
,
level
,
0
,
split
)).
add
(
x
);
}
}
boolean
multiThreaded
=
level
==
0
&&
list
.
size
()
>
1000
;
boolean
multiThreaded
=
level
==
0
&&
list
.
size
()
>
1000
;
list
.
clear
();
list
.
clear
();
list
.
trimToSize
();
list
.
trimToSize
();
if
(
multiThreaded
)
{
if
(
multiThreaded
)
{
generateMultiThreaded
(
lists
,
out
);
generateMultiThreaded
(
lists
,
hash
,
out
);
}
else
{
}
else
{
for
(
ArrayList
<
Integer
>
s2
:
lists
)
{
for
(
ArrayList
<
K
>
s2
:
lists
)
{
generate
(
s2
,
level
+
1
,
out
);
generate
(
s2
,
hash
,
level
+
1
,
out
);
}
}
}
}
}
}
private
static
void
generateMultiThreaded
(
private
static
<
K
>
void
generateMultiThreaded
(
final
ArrayList
<
ArrayList
<
Integer
>>
lists
,
final
ArrayList
<
ArrayList
<
K
>>
lists
,
final
UniversalHash
<
K
>
hash
,
ByteArrayOutputStream
out
)
{
ByteArrayOutputStream
out
)
{
final
ArrayList
<
ByteArrayOutputStream
>
outList
=
final
ArrayList
<
ByteArrayOutputStream
>
outList
=
new
ArrayList
<
ByteArrayOutputStream
>();
new
ArrayList
<
ByteArrayOutputStream
>();
...
@@ -330,7 +350,7 @@ public class MinimalPerfectHash {
...
@@ -330,7 +350,7 @@ public class MinimalPerfectHash {
@Override
@Override
public
void
run
()
{
public
void
run
()
{
while
(
true
)
{
while
(
true
)
{
ArrayList
<
Integer
>
list
;
ArrayList
<
K
>
list
;
ByteArrayOutputStream
temp
=
ByteArrayOutputStream
temp
=
new
ByteArrayOutputStream
();
new
ByteArrayOutputStream
();
synchronized
(
lists
)
{
synchronized
(
lists
)
{
...
@@ -340,7 +360,7 @@ public class MinimalPerfectHash {
...
@@ -340,7 +360,7 @@ public class MinimalPerfectHash {
list
=
lists
.
remove
(
0
);
list
=
lists
.
remove
(
0
);
outList
.
add
(
temp
);
outList
.
add
(
temp
);
}
}
generate
(
list
,
1
,
temp
);
generate
(
list
,
hash
,
1
,
temp
);
}
}
}
}
};
};
...
@@ -366,13 +386,22 @@ public class MinimalPerfectHash {
...
@@ -366,13 +386,22 @@ public class MinimalPerfectHash {
* Calculate the hash of a key. The result depends on the key, the recursion
* Calculate the hash of a key. The result depends on the key, the recursion
* level, and the offset.
* level, and the offset.
*
*
* @param
x
the key
* @param
o
the key
* @param level the recursion level
* @param level the recursion level
* @param offset the index of the hash function
* @param offset the index of the hash function
* @param size the size of the bucket
* @param size the size of the bucket
* @return the hash (a value between 0, including, and the size, excluding)
* @return the hash (a value between 0, including, and the size, excluding)
*/
*/
private
static
int
hash
(
int
x
,
int
level
,
int
offset
,
int
size
)
{
private
static
<
K
>
int
hash
(
K
o
,
UniversalHash
<
K
>
hash
,
int
level
,
int
offset
,
int
size
)
{
int
x
=
hash
.
hashCode
(
o
,
level
);
x
+=
level
+
offset
*
16
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
x
=
(
x
>>>
16
)
^
x
;
return
Math
.
abs
(
x
%
size
);
}
private
static
<
K
>
int
hash
(
int
x
,
int
level
,
int
offset
,
int
size
)
{
x
+=
level
+
offset
*
16
;
x
+=
level
+
offset
*
16
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
x
=
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
...
@@ -466,5 +495,142 @@ public class MinimalPerfectHash {
...
@@ -466,5 +495,142 @@ public class MinimalPerfectHash {
}
}
return
out
.
toByteArray
();
return
out
.
toByteArray
();
}
}
/**
* An interface that can calculate multiple hash values for an object. The
* returned hash value of two distinct objects may be the same for a given
* hash function index, but as more hash functions indexes are called for
* those objects, the returned value must eventually be different.
* <p>
* The returned value does not need to be uniformly distributed.
*
* @param <T> the type
*/
public
interface
UniversalHash
<
T
>
{
/**
* Calculate the hash of the given object.
*
* @param o the object
* @param index the hash function index (index 0 is used first, so the
* method should be very fast with index 0; index 1 and so on
* are only called when really needed)
* @return the hash value
*/
int
hashCode
(
T
o
,
int
index
);
}
/**
* A sample hash implementation for long keys.
*/
public
static
class
LongHash
implements
UniversalHash
<
Long
>
{
@Override
public
int
hashCode
(
Long
o
,
int
index
)
{
if
(
index
==
0
)
{
return
o
.
hashCode
();
}
else
if
(
index
<
8
)
{
long
x
=
o
.
longValue
();
x
+=
index
;
x
=
((
x
>>>
32
)
^
x
)
*
0x45d9f3b
;
x
=
((
x
>>>
32
)
^
x
)
*
0x45d9f3b
;
return
(
int
)
(
x
^
(
x
>>>
32
));
}
// get the lower or higher 32 bit depending on the index
int
shift
=
(
index
&
1
)
*
32
;
return
(
int
)
(
o
.
longValue
()
>>>
shift
);
}
}
/**
* A sample hash implementation for integer keys.
*/
public
static
class
StringHash
implements
UniversalHash
<
String
>
{
private
static
final
Charset
UTF8
=
Charset
.
forName
(
"UTF-8"
);
@Override
public
int
hashCode
(
String
o
,
int
index
)
{
if
(
index
==
0
)
{
// use the default hash of a string, which might already be
// available
return
o
.
hashCode
();
}
else
if
(
index
<
8
)
{
// use a different hash function, which is fast but not
// cryptographically secure
return
getFastHash
(
o
,
index
);
}
// this method is supposed to be cryptographically secure;
// we could use SHA-256 for higher indexes
return
getSipHash24
(
o
,
index
,
0
);
}
public
static
int
getFastHash
(
String
o
,
int
x
)
{
int
result
=
o
.
length
();
for
(
int
i
=
0
;
i
<
o
.
length
();
i
++)
{
x
=
31
+
((
x
>>>
16
)
^
x
)
*
0x45d9f3b
;
result
+=
x
*
(
1
+
o
.
charAt
(
i
));
}
return
result
;
}
/**
* A cryptographically relatively secure hash function. It is supposed
* to protected against hash-flooding denial-of-service attacks.
*
* @param o the object
* @param k0 key 0
* @param k1 key 1
* @return the hash value
*/
private
static
int
getSipHash24
(
String
o
,
long
k0
,
long
k1
)
{
long
v0
=
k0
^
0x736f6d6570736575
L
;
long
v1
=
k1
^
0x646f72616e646f6d
L
;
long
v2
=
k0
^
0x6c7967656e657261
L
;
long
v3
=
k1
^
0x7465646279746573
L
;
byte
[]
b
=
o
.
getBytes
(
UTF8
);
int
len
=
b
.
length
,
repeat
;
for
(
int
off
=
0
;
off
<=
len
+
8
;
off
+=
8
)
{
long
m
;
if
(
off
<=
len
)
{
m
=
0
;
int
i
=
0
;
for
(;
i
<
8
&&
off
+
i
<
len
;
i
++)
{
m
|=
((
long
)
b
[
off
+
i
]
&
255
)
<<
(
8
*
i
);
}
if
(
i
<
8
)
{
m
|=
((
long
)
b
.
length
)
<<
56
;
}
v3
^=
m
;
repeat
=
2
;
}
else
{
m
=
0
;
v2
^=
0xff
;
repeat
=
4
;
}
for
(
int
i
=
0
;
i
<
repeat
;
i
++)
{
v0
+=
v1
;
v2
+=
v3
;
v1
=
Long
.
rotateLeft
(
v1
,
13
);
v3
=
Long
.
rotateLeft
(
v3
,
16
);
v1
^=
v0
;
v3
^=
v2
;
v0
=
Long
.
rotateLeft
(
v0
,
32
);
v2
+=
v1
;
v0
+=
v3
;
v1
=
Long
.
rotateLeft
(
v1
,
17
);
v3
=
Long
.
rotateLeft
(
v3
,
21
);
v1
^=
v2
;
v3
^=
v0
;
v2
=
Long
.
rotateLeft
(
v2
,
32
);
}
v0
^=
m
;
}
return
(
int
)
(
v0
^
v1
^
v2
^
v3
);
}
}
}
}
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