<span style="font-size:14px;">View Code数据库
--在select into语句中使用bulk collectapp
DECLARE
TYPE SalList IS TABLE OF emp.sal%TYPE;
sals SalList;
BEGIN
-- Limit the number of rows to 100.
SELECT sal BULK COLLECT INTO sals FROM emp
WHERE ROWNUM <= 100;
-- Retrieve 10% (approximately) of the rows in the table.
SELECT sal BULK COLLECT INTO sals FROM emp SAMPLE 10;测试
END;
/fetch
--在fetch into中使用bulk collectspa
DECLARE
TYPE DeptRecTab IS TABLE OF dept%ROWTYPE;
dept_recs DeptRecTab;
CURSOR c1 IS
SELECT deptno, dname, loc FROM dept WHERE deptno > 10;
BEGIN
OPEN c1;
FETCH c1 BULK COLLECT INTO dept_recs;
END;
/内存
--在returning into中使用bulk collectit
CREATE TABLE emp2 AS SELECT * FROM employees;
DECLARE
TYPE NumList IS TABLE OF employees.employee_id%TYPE;
enums NumList;
TYPE NameList IS TABLE OF employees.last_name%TYPE;
names NameList;
BEGIN
DELETE FROM emp2 WHERE department_id = 30
RETURNING employee_id, last_name BULK COLLECT INTO enums, names;
dbms_output.put_line('Deleted ' || SQL%ROWCOUNT || ' rows:');
FOR i IN enums.FIRST .. enums.LAST
LOOP
dbms_output.put_line('Employee #' || enums(i) || ': ' || names(i));
END LOOP;
END;
/
DROP TABLE emp2;</span>io
经过上面的测试和分析,咱们能够看到Bulk
Collect批查询在某种程度上能够提升查询效率,它首先将所需数据读入内存,而后再统计分析,这样就能够提升查询效率。可是,若是Oracle数据库的内存较小,Shared
Pool Size不足以保存Bulk Collect批查询结果,那么该方法须要将Bulk Collect的集合结果保存在磁盘上,在这种状况下,Bulk
Collect方法的效率反而不如其余两种方法,有兴趣的读者能够进一步测试。table
另外,除了Bulk Collect批查询外,咱们还能够使用FORALL语句来实现批插入、删除和更新,这在大批量数据操做时能够显著提升执行效率。ast