Lines Matching defs:search

47  * We implement code here for creating and maintaining auxiliary search trees
54 * to search entire btree nodes and iterate over them in sorted order.
58 * point (if you pass it a search key) or the start of the btree node.
62 * Since keys are variable length, we can't use a binary search on a bset - we
73 * set; they index one key every BSET_CACHELINE bytes, and then a linear search
77 * into, we construct a binary search tree in an array - traversing a binary
78 * search tree in an array gives excellent locality of reference and is very
88 * Nodes in the auxiliary search tree must contain both a key to compare against
93 * search tree corresponds to precisely BSET_CACHELINE bytes in the set. We have
100 * search tree at every iteration we know that both our search key and the key
102 * comparisons. (We special case the start of a search so that this is true even
111 * key our auxiliary search tree node corresponds to, and key p, the key
113 * search tree is the highest bit that differs between n and p.
116 * comparison. But we'd really like our nodes in the auxiliary search tree to be
127 * The keys in the auxiliary search tree are stored in (software) floating
135 * search trees take up 3% as much memory as the btree itself.
137 * Constructing these auxiliary search trees is moderately expensive, and we
138 * don't want to be constantly rebuilding the search tree for the last set
142 * within each byte range works the same as with the auxiliary search trees.
225 * Sets of sorted keys - the real btree node - plus a binary search tree
338 struct bkey *search);
341 const struct bkey *search);
344 * Returns the first key that is strictly greater than search
348 const struct bkey *search)
350 return search ? __bch_bset_search(b, t, search) : t->data->start;