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ad9e767657
Originally it was thought it would be useful to split up the kmods by functionality. This would allow external consumers to only load what was needed. However, in practice we've never had a case where this functionality would be needed, and conversely managing multiple kmods can be awkward. Therefore, this change merges all but the spl.ko kmod in to a single zfs.ko kmod. Reviewed-by: Tony Hutter <hutter2@llnl.gov> Reviewed-by: Brian Behlendorf <behlendorf1@llnl.gov> Signed-off-by: Ahelenia Ziemiańska <nabijaczleweli@nabijaczleweli.xyz> Closes #13274
1065 lines
27 KiB
C
1065 lines
27 KiB
C
/*
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* CDDL HEADER START
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*
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* The contents of this file are subject to the terms of the
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* Common Development and Distribution License (the "License").
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* You may not use this file except in compliance with the License.
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*
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* You can obtain a copy of the license at usr/src/OPENSOLARIS.LICENSE
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* or http://www.opensolaris.org/os/licensing.
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* See the License for the specific language governing permissions
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* and limitations under the License.
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*
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* When distributing Covered Code, include this CDDL HEADER in each
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* file and include the License file at usr/src/OPENSOLARIS.LICENSE.
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* If applicable, add the following below this CDDL HEADER, with the
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* fields enclosed by brackets "[]" replaced with your own identifying
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* information: Portions Copyright [yyyy] [name of copyright owner]
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*
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* CDDL HEADER END
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*/
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/*
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* Copyright 2009 Sun Microsystems, Inc. All rights reserved.
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* Use is subject to license terms.
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*/
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/*
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* Copyright 2015 Nexenta Systems, Inc. All rights reserved.
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* Copyright (c) 2015 by Delphix. All rights reserved.
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*/
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/*
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* AVL - generic AVL tree implementation for kernel use
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*
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* A complete description of AVL trees can be found in many CS textbooks.
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*
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* Here is a very brief overview. An AVL tree is a binary search tree that is
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* almost perfectly balanced. By "almost" perfectly balanced, we mean that at
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* any given node, the left and right subtrees are allowed to differ in height
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* by at most 1 level.
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*
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* This relaxation from a perfectly balanced binary tree allows doing
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* insertion and deletion relatively efficiently. Searching the tree is
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* still a fast operation, roughly O(log(N)).
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*
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* The key to insertion and deletion is a set of tree manipulations called
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* rotations, which bring unbalanced subtrees back into the semi-balanced state.
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*
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* This implementation of AVL trees has the following peculiarities:
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*
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* - The AVL specific data structures are physically embedded as fields
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* in the "using" data structures. To maintain generality the code
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* must constantly translate between "avl_node_t *" and containing
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* data structure "void *"s by adding/subtracting the avl_offset.
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*
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* - Since the AVL data is always embedded in other structures, there is
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* no locking or memory allocation in the AVL routines. This must be
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* provided for by the enclosing data structure's semantics. Typically,
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* avl_insert()/_add()/_remove()/avl_insert_here() require some kind of
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* exclusive write lock. Other operations require a read lock.
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*
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* - The implementation uses iteration instead of explicit recursion,
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* since it is intended to run on limited size kernel stacks. Since
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* there is no recursion stack present to move "up" in the tree,
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* there is an explicit "parent" link in the avl_node_t.
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*
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* - The left/right children pointers of a node are in an array.
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* In the code, variables (instead of constants) are used to represent
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* left and right indices. The implementation is written as if it only
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* dealt with left handed manipulations. By changing the value assigned
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* to "left", the code also works for right handed trees. The
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* following variables/terms are frequently used:
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*
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* int left; // 0 when dealing with left children,
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* // 1 for dealing with right children
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*
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* int left_heavy; // -1 when left subtree is taller at some node,
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* // +1 when right subtree is taller
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*
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* int right; // will be the opposite of left (0 or 1)
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* int right_heavy;// will be the opposite of left_heavy (-1 or 1)
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*
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* int direction; // 0 for "<" (ie. left child); 1 for ">" (right)
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*
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* Though it is a little more confusing to read the code, the approach
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* allows using half as much code (and hence cache footprint) for tree
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* manipulations and eliminates many conditional branches.
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*
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* - The avl_index_t is an opaque "cookie" used to find nodes at or
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* adjacent to where a new value would be inserted in the tree. The value
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* is a modified "avl_node_t *". The bottom bit (normally 0 for a
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* pointer) is set to indicate if that the new node has a value greater
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* than the value of the indicated "avl_node_t *".
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*
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* Note - in addition to userland (e.g. libavl and libutil) and the kernel
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* (e.g. genunix), avl.c is compiled into ld.so and kmdb's genunix module,
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* which each have their own compilation environments and subsequent
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* requirements. Each of these environments must be considered when adding
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* dependencies from avl.c.
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*
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* Link to Illumos.org for more information on avl function:
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* [1] https://illumos.org/man/9f/avl
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*/
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#include <sys/types.h>
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#include <sys/param.h>
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#include <sys/debug.h>
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#include <sys/avl.h>
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#include <sys/cmn_err.h>
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#include <sys/mod.h>
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/*
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* Small arrays to translate between balance (or diff) values and child indices.
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*
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* Code that deals with binary tree data structures will randomly use
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* left and right children when examining a tree. C "if()" statements
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* which evaluate randomly suffer from very poor hardware branch prediction.
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* In this code we avoid some of the branch mispredictions by using the
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* following translation arrays. They replace random branches with an
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* additional memory reference. Since the translation arrays are both very
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* small the data should remain efficiently in cache.
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*/
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static const int avl_child2balance[] = {-1, 1};
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static const int avl_balance2child[] = {0, 0, 1};
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/*
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* Walk from one node to the previous valued node (ie. an infix walk
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* towards the left). At any given node we do one of 2 things:
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*
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* - If there is a left child, go to it, then to it's rightmost descendant.
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*
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* - otherwise we return through parent nodes until we've come from a right
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* child.
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*
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* Return Value:
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* NULL - if at the end of the nodes
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* otherwise next node
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*/
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void *
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avl_walk(avl_tree_t *tree, void *oldnode, int left)
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{
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size_t off = tree->avl_offset;
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avl_node_t *node = AVL_DATA2NODE(oldnode, off);
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int right = 1 - left;
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int was_child;
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/*
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* nowhere to walk to if tree is empty
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*/
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if (node == NULL)
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return (NULL);
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/*
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* Visit the previous valued node. There are two possibilities:
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*
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* If this node has a left child, go down one left, then all
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* the way right.
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*/
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if (node->avl_child[left] != NULL) {
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for (node = node->avl_child[left];
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node->avl_child[right] != NULL;
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node = node->avl_child[right])
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;
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/*
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* Otherwise, return through left children as far as we can.
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*/
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} else {
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for (;;) {
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was_child = AVL_XCHILD(node);
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node = AVL_XPARENT(node);
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if (node == NULL)
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return (NULL);
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if (was_child == right)
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break;
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}
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}
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return (AVL_NODE2DATA(node, off));
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}
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/*
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* Return the lowest valued node in a tree or NULL.
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* (leftmost child from root of tree)
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*/
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void *
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avl_first(avl_tree_t *tree)
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{
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avl_node_t *node;
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avl_node_t *prev = NULL;
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size_t off = tree->avl_offset;
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for (node = tree->avl_root; node != NULL; node = node->avl_child[0])
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prev = node;
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if (prev != NULL)
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return (AVL_NODE2DATA(prev, off));
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return (NULL);
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}
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/*
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* Return the highest valued node in a tree or NULL.
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* (rightmost child from root of tree)
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*/
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void *
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avl_last(avl_tree_t *tree)
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{
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avl_node_t *node;
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avl_node_t *prev = NULL;
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size_t off = tree->avl_offset;
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for (node = tree->avl_root; node != NULL; node = node->avl_child[1])
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prev = node;
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if (prev != NULL)
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return (AVL_NODE2DATA(prev, off));
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return (NULL);
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}
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/*
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* Access the node immediately before or after an insertion point.
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*
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* "avl_index_t" is a (avl_node_t *) with the bottom bit indicating a child
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*
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* Return value:
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* NULL: no node in the given direction
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* "void *" of the found tree node
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*/
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void *
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avl_nearest(avl_tree_t *tree, avl_index_t where, int direction)
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{
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int child = AVL_INDEX2CHILD(where);
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avl_node_t *node = AVL_INDEX2NODE(where);
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void *data;
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size_t off = tree->avl_offset;
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if (node == NULL) {
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ASSERT(tree->avl_root == NULL);
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return (NULL);
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}
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data = AVL_NODE2DATA(node, off);
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if (child != direction)
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return (data);
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return (avl_walk(tree, data, direction));
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}
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/*
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* Search for the node which contains "value". The algorithm is a
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* simple binary tree search.
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*
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* return value:
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* NULL: the value is not in the AVL tree
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* *where (if not NULL) is set to indicate the insertion point
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* "void *" of the found tree node
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*/
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void *
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avl_find(avl_tree_t *tree, const void *value, avl_index_t *where)
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{
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avl_node_t *node;
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avl_node_t *prev = NULL;
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int child = 0;
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int diff;
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size_t off = tree->avl_offset;
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for (node = tree->avl_root; node != NULL;
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node = node->avl_child[child]) {
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prev = node;
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diff = tree->avl_compar(value, AVL_NODE2DATA(node, off));
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ASSERT(-1 <= diff && diff <= 1);
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if (diff == 0) {
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#ifdef ZFS_DEBUG
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if (where != NULL)
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*where = 0;
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#endif
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return (AVL_NODE2DATA(node, off));
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}
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child = avl_balance2child[1 + diff];
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}
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if (where != NULL)
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*where = AVL_MKINDEX(prev, child);
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return (NULL);
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}
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/*
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* Perform a rotation to restore balance at the subtree given by depth.
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*
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* This routine is used by both insertion and deletion. The return value
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* indicates:
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* 0 : subtree did not change height
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* !0 : subtree was reduced in height
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*
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* The code is written as if handling left rotations, right rotations are
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* symmetric and handled by swapping values of variables right/left[_heavy]
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*
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* On input balance is the "new" balance at "node". This value is either
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* -2 or +2.
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*/
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static int
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avl_rotation(avl_tree_t *tree, avl_node_t *node, int balance)
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{
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int left = !(balance < 0); /* when balance = -2, left will be 0 */
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int right = 1 - left;
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int left_heavy = balance >> 1;
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int right_heavy = -left_heavy;
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avl_node_t *parent = AVL_XPARENT(node);
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avl_node_t *child = node->avl_child[left];
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avl_node_t *cright;
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avl_node_t *gchild;
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avl_node_t *gright;
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avl_node_t *gleft;
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int which_child = AVL_XCHILD(node);
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int child_bal = AVL_XBALANCE(child);
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/*
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* case 1 : node is overly left heavy, the left child is balanced or
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* also left heavy. This requires the following rotation.
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*
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* (node bal:-2)
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* / \
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* / \
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* (child bal:0 or -1)
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* / \
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* / \
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* cright
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*
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* becomes:
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*
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* (child bal:1 or 0)
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* / \
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* / \
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* (node bal:-1 or 0)
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* / \
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* / \
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* cright
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*
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* we detect this situation by noting that child's balance is not
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* right_heavy.
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*/
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if (child_bal != right_heavy) {
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/*
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* compute new balance of nodes
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*
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* If child used to be left heavy (now balanced) we reduced
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* the height of this sub-tree -- used in "return...;" below
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*/
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child_bal += right_heavy; /* adjust towards right */
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/*
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* move "cright" to be node's left child
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*/
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cright = child->avl_child[right];
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node->avl_child[left] = cright;
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if (cright != NULL) {
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AVL_SETPARENT(cright, node);
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AVL_SETCHILD(cright, left);
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}
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/*
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* move node to be child's right child
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*/
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child->avl_child[right] = node;
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AVL_SETBALANCE(node, -child_bal);
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AVL_SETCHILD(node, right);
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AVL_SETPARENT(node, child);
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/*
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* update the pointer into this subtree
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*/
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AVL_SETBALANCE(child, child_bal);
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AVL_SETCHILD(child, which_child);
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AVL_SETPARENT(child, parent);
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if (parent != NULL)
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parent->avl_child[which_child] = child;
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else
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tree->avl_root = child;
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return (child_bal == 0);
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}
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/*
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* case 2 : When node is left heavy, but child is right heavy we use
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* a different rotation.
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*
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* (node b:-2)
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* / \
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* / \
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* / \
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* (child b:+1)
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* / \
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* / \
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* (gchild b: != 0)
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* / \
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* / \
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* gleft gright
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*
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* becomes:
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*
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* (gchild b:0)
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* / \
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* / \
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* / \
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* (child b:?) (node b:?)
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* / \ / \
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* / \ / \
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* gleft gright
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*
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* computing the new balances is more complicated. As an example:
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* if gchild was right_heavy, then child is now left heavy
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* else it is balanced
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*/
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gchild = child->avl_child[right];
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gleft = gchild->avl_child[left];
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gright = gchild->avl_child[right];
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/*
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* move gright to left child of node and
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*
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* move gleft to right child of node
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*/
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node->avl_child[left] = gright;
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if (gright != NULL) {
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AVL_SETPARENT(gright, node);
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AVL_SETCHILD(gright, left);
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}
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child->avl_child[right] = gleft;
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if (gleft != NULL) {
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AVL_SETPARENT(gleft, child);
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AVL_SETCHILD(gleft, right);
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}
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/*
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* move child to left child of gchild and
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*
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* move node to right child of gchild and
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*
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* fixup parent of all this to point to gchild
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*/
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balance = AVL_XBALANCE(gchild);
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gchild->avl_child[left] = child;
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AVL_SETBALANCE(child, (balance == right_heavy ? left_heavy : 0));
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AVL_SETPARENT(child, gchild);
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AVL_SETCHILD(child, left);
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gchild->avl_child[right] = node;
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AVL_SETBALANCE(node, (balance == left_heavy ? right_heavy : 0));
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AVL_SETPARENT(node, gchild);
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AVL_SETCHILD(node, right);
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AVL_SETBALANCE(gchild, 0);
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AVL_SETPARENT(gchild, parent);
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AVL_SETCHILD(gchild, which_child);
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if (parent != NULL)
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parent->avl_child[which_child] = gchild;
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else
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tree->avl_root = gchild;
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return (1); /* the new tree is always shorter */
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}
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|
|
|
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/*
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* Insert a new node into an AVL tree at the specified (from avl_find()) place.
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*
|
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* Newly inserted nodes are always leaf nodes in the tree, since avl_find()
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* searches out to the leaf positions. The avl_index_t indicates the node
|
|
* which will be the parent of the new node.
|
|
*
|
|
* After the node is inserted, a single rotation further up the tree may
|
|
* be necessary to maintain an acceptable AVL balance.
|
|
*/
|
|
void
|
|
avl_insert(avl_tree_t *tree, void *new_data, avl_index_t where)
|
|
{
|
|
avl_node_t *node;
|
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avl_node_t *parent = AVL_INDEX2NODE(where);
|
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int old_balance;
|
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int new_balance;
|
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int which_child = AVL_INDEX2CHILD(where);
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size_t off = tree->avl_offset;
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#ifdef _LP64
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ASSERT(((uintptr_t)new_data & 0x7) == 0);
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#endif
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node = AVL_DATA2NODE(new_data, off);
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/*
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|
* First, add the node to the tree at the indicated position.
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*/
|
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++tree->avl_numnodes;
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node->avl_child[0] = NULL;
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node->avl_child[1] = NULL;
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AVL_SETCHILD(node, which_child);
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AVL_SETBALANCE(node, 0);
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AVL_SETPARENT(node, parent);
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if (parent != NULL) {
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ASSERT(parent->avl_child[which_child] == NULL);
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parent->avl_child[which_child] = node;
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} else {
|
|
ASSERT(tree->avl_root == NULL);
|
|
tree->avl_root = node;
|
|
}
|
|
/*
|
|
* Now, back up the tree modifying the balance of all nodes above the
|
|
* insertion point. If we get to a highly unbalanced ancestor, we
|
|
* need to do a rotation. If we back out of the tree we are done.
|
|
* If we brought any subtree into perfect balance (0), we are also done.
|
|
*/
|
|
for (;;) {
|
|
node = parent;
|
|
if (node == NULL)
|
|
return;
|
|
|
|
/*
|
|
* Compute the new balance
|
|
*/
|
|
old_balance = AVL_XBALANCE(node);
|
|
new_balance = old_balance + avl_child2balance[which_child];
|
|
|
|
/*
|
|
* If we introduced equal balance, then we are done immediately
|
|
*/
|
|
if (new_balance == 0) {
|
|
AVL_SETBALANCE(node, 0);
|
|
return;
|
|
}
|
|
|
|
/*
|
|
* If both old and new are not zero we went
|
|
* from -1 to -2 balance, do a rotation.
|
|
*/
|
|
if (old_balance != 0)
|
|
break;
|
|
|
|
AVL_SETBALANCE(node, new_balance);
|
|
parent = AVL_XPARENT(node);
|
|
which_child = AVL_XCHILD(node);
|
|
}
|
|
|
|
/*
|
|
* perform a rotation to fix the tree and return
|
|
*/
|
|
(void) avl_rotation(tree, node, new_balance);
|
|
}
|
|
|
|
/*
|
|
* Insert "new_data" in "tree" in the given "direction" either after or
|
|
* before (AVL_AFTER, AVL_BEFORE) the data "here".
|
|
*
|
|
* Insertions can only be done at empty leaf points in the tree, therefore
|
|
* if the given child of the node is already present we move to either
|
|
* the AVL_PREV or AVL_NEXT and reverse the insertion direction. Since
|
|
* every other node in the tree is a leaf, this always works.
|
|
*
|
|
* To help developers using this interface, we assert that the new node
|
|
* is correctly ordered at every step of the way in DEBUG kernels.
|
|
*/
|
|
void
|
|
avl_insert_here(
|
|
avl_tree_t *tree,
|
|
void *new_data,
|
|
void *here,
|
|
int direction)
|
|
{
|
|
avl_node_t *node;
|
|
int child = direction; /* rely on AVL_BEFORE == 0, AVL_AFTER == 1 */
|
|
#ifdef ZFS_DEBUG
|
|
int diff;
|
|
#endif
|
|
|
|
ASSERT(tree != NULL);
|
|
ASSERT(new_data != NULL);
|
|
ASSERT(here != NULL);
|
|
ASSERT(direction == AVL_BEFORE || direction == AVL_AFTER);
|
|
|
|
/*
|
|
* If corresponding child of node is not NULL, go to the neighboring
|
|
* node and reverse the insertion direction.
|
|
*/
|
|
node = AVL_DATA2NODE(here, tree->avl_offset);
|
|
|
|
#ifdef ZFS_DEBUG
|
|
diff = tree->avl_compar(new_data, here);
|
|
ASSERT(-1 <= diff && diff <= 1);
|
|
ASSERT(diff != 0);
|
|
ASSERT(diff > 0 ? child == 1 : child == 0);
|
|
#endif
|
|
|
|
if (node->avl_child[child] != NULL) {
|
|
node = node->avl_child[child];
|
|
child = 1 - child;
|
|
while (node->avl_child[child] != NULL) {
|
|
#ifdef ZFS_DEBUG
|
|
diff = tree->avl_compar(new_data,
|
|
AVL_NODE2DATA(node, tree->avl_offset));
|
|
ASSERT(-1 <= diff && diff <= 1);
|
|
ASSERT(diff != 0);
|
|
ASSERT(diff > 0 ? child == 1 : child == 0);
|
|
#endif
|
|
node = node->avl_child[child];
|
|
}
|
|
#ifdef ZFS_DEBUG
|
|
diff = tree->avl_compar(new_data,
|
|
AVL_NODE2DATA(node, tree->avl_offset));
|
|
ASSERT(-1 <= diff && diff <= 1);
|
|
ASSERT(diff != 0);
|
|
ASSERT(diff > 0 ? child == 1 : child == 0);
|
|
#endif
|
|
}
|
|
ASSERT(node->avl_child[child] == NULL);
|
|
|
|
avl_insert(tree, new_data, AVL_MKINDEX(node, child));
|
|
}
|
|
|
|
/*
|
|
* Add a new node to an AVL tree. Strictly enforce that no duplicates can
|
|
* be added to the tree with a VERIFY which is enabled for non-DEBUG builds.
|
|
*/
|
|
void
|
|
avl_add(avl_tree_t *tree, void *new_node)
|
|
{
|
|
avl_index_t where = 0;
|
|
|
|
VERIFY(avl_find(tree, new_node, &where) == NULL);
|
|
|
|
avl_insert(tree, new_node, where);
|
|
}
|
|
|
|
/*
|
|
* Delete a node from the AVL tree. Deletion is similar to insertion, but
|
|
* with 2 complications.
|
|
*
|
|
* First, we may be deleting an interior node. Consider the following subtree:
|
|
*
|
|
* d c c
|
|
* / \ / \ / \
|
|
* b e b e b e
|
|
* / \ / \ /
|
|
* a c a a
|
|
*
|
|
* When we are deleting node (d), we find and bring up an adjacent valued leaf
|
|
* node, say (c), to take the interior node's place. In the code this is
|
|
* handled by temporarily swapping (d) and (c) in the tree and then using
|
|
* common code to delete (d) from the leaf position.
|
|
*
|
|
* Secondly, an interior deletion from a deep tree may require more than one
|
|
* rotation to fix the balance. This is handled by moving up the tree through
|
|
* parents and applying rotations as needed. The return value from
|
|
* avl_rotation() is used to detect when a subtree did not change overall
|
|
* height due to a rotation.
|
|
*/
|
|
void
|
|
avl_remove(avl_tree_t *tree, void *data)
|
|
{
|
|
avl_node_t *delete;
|
|
avl_node_t *parent;
|
|
avl_node_t *node;
|
|
avl_node_t tmp;
|
|
int old_balance;
|
|
int new_balance;
|
|
int left;
|
|
int right;
|
|
int which_child;
|
|
size_t off = tree->avl_offset;
|
|
|
|
delete = AVL_DATA2NODE(data, off);
|
|
|
|
/*
|
|
* Deletion is easiest with a node that has at most 1 child.
|
|
* We swap a node with 2 children with a sequentially valued
|
|
* neighbor node. That node will have at most 1 child. Note this
|
|
* has no effect on the ordering of the remaining nodes.
|
|
*
|
|
* As an optimization, we choose the greater neighbor if the tree
|
|
* is right heavy, otherwise the left neighbor. This reduces the
|
|
* number of rotations needed.
|
|
*/
|
|
if (delete->avl_child[0] != NULL && delete->avl_child[1] != NULL) {
|
|
|
|
/*
|
|
* choose node to swap from whichever side is taller
|
|
*/
|
|
old_balance = AVL_XBALANCE(delete);
|
|
left = avl_balance2child[old_balance + 1];
|
|
right = 1 - left;
|
|
|
|
/*
|
|
* get to the previous value'd node
|
|
* (down 1 left, as far as possible right)
|
|
*/
|
|
for (node = delete->avl_child[left];
|
|
node->avl_child[right] != NULL;
|
|
node = node->avl_child[right])
|
|
;
|
|
|
|
/*
|
|
* create a temp placeholder for 'node'
|
|
* move 'node' to delete's spot in the tree
|
|
*/
|
|
tmp = *node;
|
|
|
|
*node = *delete;
|
|
if (node->avl_child[left] == node)
|
|
node->avl_child[left] = &tmp;
|
|
|
|
parent = AVL_XPARENT(node);
|
|
if (parent != NULL)
|
|
parent->avl_child[AVL_XCHILD(node)] = node;
|
|
else
|
|
tree->avl_root = node;
|
|
AVL_SETPARENT(node->avl_child[left], node);
|
|
AVL_SETPARENT(node->avl_child[right], node);
|
|
|
|
/*
|
|
* Put tmp where node used to be (just temporary).
|
|
* It always has a parent and at most 1 child.
|
|
*/
|
|
delete = &tmp;
|
|
parent = AVL_XPARENT(delete);
|
|
parent->avl_child[AVL_XCHILD(delete)] = delete;
|
|
which_child = (delete->avl_child[1] != 0);
|
|
if (delete->avl_child[which_child] != NULL)
|
|
AVL_SETPARENT(delete->avl_child[which_child], delete);
|
|
}
|
|
|
|
|
|
/*
|
|
* Here we know "delete" is at least partially a leaf node. It can
|
|
* be easily removed from the tree.
|
|
*/
|
|
ASSERT(tree->avl_numnodes > 0);
|
|
--tree->avl_numnodes;
|
|
parent = AVL_XPARENT(delete);
|
|
which_child = AVL_XCHILD(delete);
|
|
if (delete->avl_child[0] != NULL)
|
|
node = delete->avl_child[0];
|
|
else
|
|
node = delete->avl_child[1];
|
|
|
|
/*
|
|
* Connect parent directly to node (leaving out delete).
|
|
*/
|
|
if (node != NULL) {
|
|
AVL_SETPARENT(node, parent);
|
|
AVL_SETCHILD(node, which_child);
|
|
}
|
|
if (parent == NULL) {
|
|
tree->avl_root = node;
|
|
return;
|
|
}
|
|
parent->avl_child[which_child] = node;
|
|
|
|
|
|
/*
|
|
* Since the subtree is now shorter, begin adjusting parent balances
|
|
* and performing any needed rotations.
|
|
*/
|
|
do {
|
|
|
|
/*
|
|
* Move up the tree and adjust the balance
|
|
*
|
|
* Capture the parent and which_child values for the next
|
|
* iteration before any rotations occur.
|
|
*/
|
|
node = parent;
|
|
old_balance = AVL_XBALANCE(node);
|
|
new_balance = old_balance - avl_child2balance[which_child];
|
|
parent = AVL_XPARENT(node);
|
|
which_child = AVL_XCHILD(node);
|
|
|
|
/*
|
|
* If a node was in perfect balance but isn't anymore then
|
|
* we can stop, since the height didn't change above this point
|
|
* due to a deletion.
|
|
*/
|
|
if (old_balance == 0) {
|
|
AVL_SETBALANCE(node, new_balance);
|
|
break;
|
|
}
|
|
|
|
/*
|
|
* If the new balance is zero, we don't need to rotate
|
|
* else
|
|
* need a rotation to fix the balance.
|
|
* If the rotation doesn't change the height
|
|
* of the sub-tree we have finished adjusting.
|
|
*/
|
|
if (new_balance == 0)
|
|
AVL_SETBALANCE(node, new_balance);
|
|
else if (!avl_rotation(tree, node, new_balance))
|
|
break;
|
|
} while (parent != NULL);
|
|
}
|
|
|
|
#define AVL_REINSERT(tree, obj) \
|
|
avl_remove((tree), (obj)); \
|
|
avl_add((tree), (obj))
|
|
|
|
boolean_t
|
|
avl_update_lt(avl_tree_t *t, void *obj)
|
|
{
|
|
void *neighbor;
|
|
|
|
ASSERT(((neighbor = AVL_NEXT(t, obj)) == NULL) ||
|
|
(t->avl_compar(obj, neighbor) <= 0));
|
|
|
|
neighbor = AVL_PREV(t, obj);
|
|
if ((neighbor != NULL) && (t->avl_compar(obj, neighbor) < 0)) {
|
|
AVL_REINSERT(t, obj);
|
|
return (B_TRUE);
|
|
}
|
|
|
|
return (B_FALSE);
|
|
}
|
|
|
|
boolean_t
|
|
avl_update_gt(avl_tree_t *t, void *obj)
|
|
{
|
|
void *neighbor;
|
|
|
|
ASSERT(((neighbor = AVL_PREV(t, obj)) == NULL) ||
|
|
(t->avl_compar(obj, neighbor) >= 0));
|
|
|
|
neighbor = AVL_NEXT(t, obj);
|
|
if ((neighbor != NULL) && (t->avl_compar(obj, neighbor) > 0)) {
|
|
AVL_REINSERT(t, obj);
|
|
return (B_TRUE);
|
|
}
|
|
|
|
return (B_FALSE);
|
|
}
|
|
|
|
boolean_t
|
|
avl_update(avl_tree_t *t, void *obj)
|
|
{
|
|
void *neighbor;
|
|
|
|
neighbor = AVL_PREV(t, obj);
|
|
if ((neighbor != NULL) && (t->avl_compar(obj, neighbor) < 0)) {
|
|
AVL_REINSERT(t, obj);
|
|
return (B_TRUE);
|
|
}
|
|
|
|
neighbor = AVL_NEXT(t, obj);
|
|
if ((neighbor != NULL) && (t->avl_compar(obj, neighbor) > 0)) {
|
|
AVL_REINSERT(t, obj);
|
|
return (B_TRUE);
|
|
}
|
|
|
|
return (B_FALSE);
|
|
}
|
|
|
|
void
|
|
avl_swap(avl_tree_t *tree1, avl_tree_t *tree2)
|
|
{
|
|
avl_node_t *temp_node;
|
|
ulong_t temp_numnodes;
|
|
|
|
ASSERT3P(tree1->avl_compar, ==, tree2->avl_compar);
|
|
ASSERT3U(tree1->avl_offset, ==, tree2->avl_offset);
|
|
|
|
temp_node = tree1->avl_root;
|
|
temp_numnodes = tree1->avl_numnodes;
|
|
tree1->avl_root = tree2->avl_root;
|
|
tree1->avl_numnodes = tree2->avl_numnodes;
|
|
tree2->avl_root = temp_node;
|
|
tree2->avl_numnodes = temp_numnodes;
|
|
}
|
|
|
|
/*
|
|
* initialize a new AVL tree
|
|
*/
|
|
void
|
|
avl_create(avl_tree_t *tree, int (*compar) (const void *, const void *),
|
|
size_t size, size_t offset)
|
|
{
|
|
ASSERT(tree);
|
|
ASSERT(compar);
|
|
ASSERT(size > 0);
|
|
ASSERT(size >= offset + sizeof (avl_node_t));
|
|
#ifdef _LP64
|
|
ASSERT((offset & 0x7) == 0);
|
|
#endif
|
|
|
|
tree->avl_compar = compar;
|
|
tree->avl_root = NULL;
|
|
tree->avl_numnodes = 0;
|
|
tree->avl_offset = offset;
|
|
}
|
|
|
|
/*
|
|
* Delete a tree.
|
|
*/
|
|
void
|
|
avl_destroy(avl_tree_t *tree)
|
|
{
|
|
ASSERT(tree);
|
|
ASSERT(tree->avl_numnodes == 0);
|
|
ASSERT(tree->avl_root == NULL);
|
|
}
|
|
|
|
|
|
/*
|
|
* Return the number of nodes in an AVL tree.
|
|
*/
|
|
ulong_t
|
|
avl_numnodes(avl_tree_t *tree)
|
|
{
|
|
ASSERT(tree);
|
|
return (tree->avl_numnodes);
|
|
}
|
|
|
|
boolean_t
|
|
avl_is_empty(avl_tree_t *tree)
|
|
{
|
|
ASSERT(tree);
|
|
return (tree->avl_numnodes == 0);
|
|
}
|
|
|
|
#define CHILDBIT (1L)
|
|
|
|
/*
|
|
* Post-order tree walk used to visit all tree nodes and destroy the tree
|
|
* in post order. This is used for removing all the nodes from a tree without
|
|
* paying any cost for rebalancing it.
|
|
*
|
|
* example:
|
|
*
|
|
* void *cookie = NULL;
|
|
* my_data_t *node;
|
|
*
|
|
* while ((node = avl_destroy_nodes(tree, &cookie)) != NULL)
|
|
* free(node);
|
|
* avl_destroy(tree);
|
|
*
|
|
* The cookie is really an avl_node_t to the current node's parent and
|
|
* an indication of which child you looked at last.
|
|
*
|
|
* On input, a cookie value of CHILDBIT indicates the tree is done.
|
|
*/
|
|
void *
|
|
avl_destroy_nodes(avl_tree_t *tree, void **cookie)
|
|
{
|
|
avl_node_t *node;
|
|
avl_node_t *parent;
|
|
int child;
|
|
void *first;
|
|
size_t off = tree->avl_offset;
|
|
|
|
/*
|
|
* Initial calls go to the first node or it's right descendant.
|
|
*/
|
|
if (*cookie == NULL) {
|
|
first = avl_first(tree);
|
|
|
|
/*
|
|
* deal with an empty tree
|
|
*/
|
|
if (first == NULL) {
|
|
*cookie = (void *)CHILDBIT;
|
|
return (NULL);
|
|
}
|
|
|
|
node = AVL_DATA2NODE(first, off);
|
|
parent = AVL_XPARENT(node);
|
|
goto check_right_side;
|
|
}
|
|
|
|
/*
|
|
* If there is no parent to return to we are done.
|
|
*/
|
|
parent = (avl_node_t *)((uintptr_t)(*cookie) & ~CHILDBIT);
|
|
if (parent == NULL) {
|
|
if (tree->avl_root != NULL) {
|
|
ASSERT(tree->avl_numnodes == 1);
|
|
tree->avl_root = NULL;
|
|
tree->avl_numnodes = 0;
|
|
}
|
|
return (NULL);
|
|
}
|
|
|
|
/*
|
|
* Remove the child pointer we just visited from the parent and tree.
|
|
*/
|
|
child = (uintptr_t)(*cookie) & CHILDBIT;
|
|
parent->avl_child[child] = NULL;
|
|
ASSERT(tree->avl_numnodes > 1);
|
|
--tree->avl_numnodes;
|
|
|
|
/*
|
|
* If we just removed a right child or there isn't one, go up to parent.
|
|
*/
|
|
if (child == 1 || parent->avl_child[1] == NULL) {
|
|
node = parent;
|
|
parent = AVL_XPARENT(parent);
|
|
goto done;
|
|
}
|
|
|
|
/*
|
|
* Do parent's right child, then leftmost descendent.
|
|
*/
|
|
node = parent->avl_child[1];
|
|
while (node->avl_child[0] != NULL) {
|
|
parent = node;
|
|
node = node->avl_child[0];
|
|
}
|
|
|
|
/*
|
|
* If here, we moved to a left child. It may have one
|
|
* child on the right (when balance == +1).
|
|
*/
|
|
check_right_side:
|
|
if (node->avl_child[1] != NULL) {
|
|
ASSERT(AVL_XBALANCE(node) == 1);
|
|
parent = node;
|
|
node = node->avl_child[1];
|
|
ASSERT(node->avl_child[0] == NULL &&
|
|
node->avl_child[1] == NULL);
|
|
} else {
|
|
ASSERT(AVL_XBALANCE(node) <= 0);
|
|
}
|
|
|
|
done:
|
|
if (parent == NULL) {
|
|
*cookie = (void *)CHILDBIT;
|
|
ASSERT(node == tree->avl_root);
|
|
} else {
|
|
*cookie = (void *)((uintptr_t)parent | AVL_XCHILD(node));
|
|
}
|
|
|
|
return (AVL_NODE2DATA(node, off));
|
|
}
|
|
|
|
EXPORT_SYMBOL(avl_create);
|
|
EXPORT_SYMBOL(avl_find);
|
|
EXPORT_SYMBOL(avl_insert);
|
|
EXPORT_SYMBOL(avl_insert_here);
|
|
EXPORT_SYMBOL(avl_walk);
|
|
EXPORT_SYMBOL(avl_first);
|
|
EXPORT_SYMBOL(avl_last);
|
|
EXPORT_SYMBOL(avl_nearest);
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EXPORT_SYMBOL(avl_add);
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EXPORT_SYMBOL(avl_swap);
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EXPORT_SYMBOL(avl_is_empty);
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EXPORT_SYMBOL(avl_remove);
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EXPORT_SYMBOL(avl_numnodes);
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EXPORT_SYMBOL(avl_destroy_nodes);
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EXPORT_SYMBOL(avl_destroy);
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EXPORT_SYMBOL(avl_update_lt);
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EXPORT_SYMBOL(avl_update_gt);
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EXPORT_SYMBOL(avl_update);
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