Complete the code to create a B+ tree index on the column 'employee_id'.
CREATE INDEX idx_emp_id ON employees USING [1] (employee_id);The B+ tree index is created using the keyword btree in SQL.
Complete the code to find the leaf node in a B+ tree index where the key 50 would be located.
SELECT * FROM bplus_tree WHERE key = [1];To find the leaf node for key 50, you query the B+ tree index with key = 50.
Fix the error in the B+ tree node split condition to check if the number of keys exceeds the maximum.
if (num_keys [1] max_keys) { split_node(); }
The node should split when the number of keys is greater than the maximum allowed, so use '>'.
Fill both blanks to complete the B+ tree search condition for keys between 10 and 20 inclusive.
SELECT * FROM bplus_tree WHERE key [1] 10 AND key [2] 20;
To include keys between 10 and 20 inclusive, use 'key >= 10' and 'key <= 20'.
Fill all three blanks to complete the B+ tree insertion pseudocode for updating parent after split.
parent.keys.[1](new_key) parent.children.[2](new_child) if len(parent.keys) [3] max_keys: split_node(parent)
Insert the new key with 'insert', add new child with 'append', and check if keys exceed max with '>'.