Class TernaryTree
- All Implemented Interfaces:
Cloneable
- Direct Known Subclasses:
HyphenationTree
Ternary Search Tree.
A ternary search tree is a hybrid between a binary tree and a digital search tree (trie). Keys are limited to strings. A data value of type char is stored in each leaf node. It can be used as an index (or pointer) to the data. Branches that only contain one key are compressed to one node by storing a pointer to the trailer substring of the key. This class is intended to serve as base class or helper class to implement Dictionary collections or the like. Ternary trees have some nice properties as the following: the tree can be traversed in sorted order, partial matches (wildcard) can be implemented, retrieval of all keys within a given distance from the target, etc. The storage requirements are higher than a binary tree but a lot less than a trie. Performance is comparable with a hash table, sometimes it outperforms a hash function (most of the time can determine a miss faster than a hash).
The main purpose of this java port is to serve as a base for implementing TeX's hyphenation algorithm (see The TeXBook, appendix H). Each language requires from 5000 to 15000 hyphenation patterns which will be keys in this tree. The strings patterns are usually small (from 2 to 5 characters), but each char in the tree is stored in a node. Thus memory usage is the main concern. We will sacrifice 'elegance' to keep memory requirements to the minimum. Using java's char type as pointer (yes, I know pointer it is a forbidden word in java) we can keep the size of the node to be just 8 bytes (3 pointers and the data char). This gives room for about 65000 nodes. In my tests the english patterns took 7694 nodes and the german patterns 10055 nodes, so I think we are safe.
All said, this is a map with strings as keys and char as value. Pretty limited!. It can be extended to a general map by using the string representation of an object and using the char value as an index to an array that contains the object values. This class has been taken from the Apache FOP project (http://xmlgraphics.apache.org/fop/). They have been slightly modified.
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Nested Class Summary
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Field Summary
Modifier and TypeFieldDescriptionprotected static final int
protected char[]
Pointer to equal branch and to data when this node is a string terminator.protected char
protected char[]
Pointer to high branch.protected CharVector
This vector holds the trailing of the keys when the branch is compressed.protected int
protected char[]
Pointer to low branch and to rest of the key when it is stored directly in this node, we don't have unions in java!protected char
protected char[]
The character stored in this node: splitchar. -
Method Summary
Modifier and TypeMethodDescriptionvoid
balance()
Balance the tree for best search performanceclone()
int
find
(char[] key, int start) int
protected void
init()
void
insert
(char[] key, int start, char val) void
Branches are initially compressed, needing one node per key plus the size of the string key.protected void
insertBalanced
(String[] k, char[] v, int offset, int n) Recursively insert the median first and then the median of the lower and upper halves, and so on in order to get a balanced tree.keys()
boolean
void
printStats
(PrintStream out) int
size()
static int
strcmp
(char[] a, int startA, char[] b, int startB) Compares 2 null terminated char arraysstatic int
Compares a string with null terminated char arraystatic void
strcpy
(char[] dst, int di, char[] src, int si) static int
strlen
(char[] a) static int
strlen
(char[] a, int start) void
Each node stores a character (splitchar) which is part of some key(s).
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Field Details
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lo
protected char[] loPointer to low branch and to rest of the key when it is stored directly in this node, we don't have unions in java! -
hi
protected char[] hiPointer to high branch. -
eq
protected char[] eqPointer to equal branch and to data when this node is a string terminator. -
sc
protected char[] scThe character stored in this node: splitchar. Two special values are reserved:- 0x0000 as string terminator
- 0xFFFF to indicate that the branch starting at this node is compressed
This shouldn't be a problem if we give the usual semantics to strings since 0xFFFF is guaranteed not to be an Unicode character.
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kv
This vector holds the trailing of the keys when the branch is compressed. -
root
protected char root -
freenode
protected char freenode -
length
protected int length -
BLOCK_SIZE
protected static final int BLOCK_SIZE- See Also:
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Method Details
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init
protected void init() -
insert
Branches are initially compressed, needing one node per key plus the size of the string key. They are decompressed as needed when another key with same prefix is inserted. This saves a lot of space, specially for long keys. -
insert
public void insert(char[] key, int start, char val) -
strcmp
public static int strcmp(char[] a, int startA, char[] b, int startB) Compares 2 null terminated char arrays -
strcmp
Compares a string with null terminated char array -
strcpy
public static void strcpy(char[] dst, int di, char[] src, int si) -
strlen
public static int strlen(char[] a, int start) -
strlen
public static int strlen(char[] a) -
find
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find
public int find(char[] key, int start) -
knows
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size
public int size() -
clone
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insertBalanced
Recursively insert the median first and then the median of the lower and upper halves, and so on in order to get a balanced tree. The array of keys is assumed to be sorted in ascending order. -
balance
public void balance()Balance the tree for best search performance -
trimToSize
public void trimToSize()Each node stores a character (splitchar) which is part of some key(s). In a compressed branch (one that only contain a single string key) the trailer of the key which is not already in nodes is stored externally in the kv array. As items are inserted, key substrings decrease. Some substrings may completely disappear when the whole branch is totally decompressed. The tree is traversed to find the key substrings actually used. In addition, duplicate substrings are removed using a map (implemented with a TernaryTree!). -
keys
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printStats
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