The auxiliary recursive procedure B-TREE-INSERT-NONFULL inserts key k into node x, which is assumed to be nonfull when the procedure is called. The operation of B-TREE-INSERT and the recursive operation of B-TREE-INSERT-NONFULL guarantee that this assumption is true.
B-TREE-INSERT-NONFULL(x, k) 1 i ← n[x] 2 if leaf[x] 3 then while i ≥ 1 and k < keyi[x] 4 do keyi 1[x] ← keyi[x] 5 i ← i - 1 6 keyi 1[x] ← k 7 n[x] ← n[x] 1 8 DISK-WRITE(x) 9 else while i ≥ 1 and k < keyi[x] 10 do i ← i - 1 11 i ← i 1 12 DISK-READ(ci[x]) 13 if n[ci[x]] = 2t - 1 14 then B-TREE-SPLIT-CHILD(x, i, ci[x]) 15 if k> keyi[x] 16 then i ← i 1 17 B-TREE-INSERT-NONFULL(ci[x], k)
The B-TREE-INSERT-NONFULL procedure works as follows. Lines 3-8 handle the case in which x is a leaf node by inserting key k into x. If x is not a leaf node, then we must insert k into the appropriate leaf node in the subtree rooted at internal node x. In this case, lines 9-11 determine the child of x to which the recursion descends. Line 13 detects whether the recursion would descend to a full child, in which case line 14 uses B-TREE-SPLIT-CHILD to split that child into two nonfull children, and lines 15-16 determine which of the two children is now the correct one to descend to. (Note that there is no need for a DISK-READ(ci [x]) after line 16 increments i, since the recursion will descend in this case to a child that was just created by B-TREE-SPLIT-CHILD.) The net effect of lines 13-16 is thus to guarantee that the procedure never recurses to a full node. Line 17 then recurses to insert k into the appropriate subtree. Figure 18.7 illustrates the various cases of inserting into a B-tree.