最近在做存储过程,procedure,pro c++
好久没有作了有些生疏了。
FORALL与BULK COLLECT的使用方法:
1.使用FORALL比FOR效率高,因为前者只切换一次上下文,而后者将是在循环次数一样多个上下文间切换。
2.使用BLUK COLLECT一次取出一个数据集合,比用游标条取数据效率高,尤其是在网络不大好的情况下。但BLUK COLLECT需要大量内存。
例子:
create table test_forall ( user_id number(10), user_name varchar2(20));
create table test_forall ( user_id number(10), user_name varchar2(20));
select into 中使用bulk collect
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DECLARE
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TYPE table_forall IS TABLE OF test_forall%ROWTYPE;
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v_table table_forall;
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BEGIN
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SELECT mub.user_id,mub.user_name
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BULK COLLECT INTO v_table
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FROM mag_user_basic mub
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WHERE mub.user_id BETWEEN 10000 AND 10100;
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FORALL idx IN 1..v_table.COUNT
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INSERT INTO test_forall VALUES v_table(idx);
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COMMIT;
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EXCEPTION
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WHEN OTHERS THEN
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ROLLBACK;
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END;
DECLARE
TYPE table_forall IS TABLE OF test_forall%ROWTYPE;
v_table table_forall;
BEGIN
SELECT mub.user_id,mub.user_name
BULK COLLECT INTO v_table
FROM mag_user_basic mub
WHERE mub.user_id BETWEEN 10000 AND 10100;
FORALL idx IN 1..v_table.COUNT
INSERT INTO test_forall VALUES v_table(idx);
--VALUES(v_table(idx).user_id,v_table(idx).user_name);Error
--在PL/SQL中,BULK In-BIND与RECORD,%ROWTYPE是不能在一块使用的,
--也就是说,BULK In-BIND只能与简单类型的数组一块使用
COMMIT;
EXCEPTION
WHEN OTHERS THEN
ROLLBACK;
END;
fetch into 中使用bulk collect
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DECLARE
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TYPE table_forall IS TABLE OF test_forall%ROWTYPE;
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v_table table_forall;
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CURSOR c1 IS
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SELECT mub.user_id,mub.user_name
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FROM mag_user_basic mub
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WHERE mub.user_id BETWEEN 10000 AND 10100;
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BEGIN
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OPEN c1;
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FETCH c1 BULK COLLECT INTO v_table;
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FORALL idx IN 1..v_table.COUNT
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INSERT INTO test_forall VALUES v_table(idx);
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COMMIT;
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EXCEPTION
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WHEN OTHERS THEN
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ROLLBACK;
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END;
DECLARE
TYPE table_forall IS TABLE OF test_forall%ROWTYPE;
v_table table_forall;
CURSOR c1 IS
SELECT mub.user_id,mub.user_name
FROM mag_user_basic mub
WHERE mub.user_id BETWEEN 10000 AND 10100;
BEGIN
OPEN c1;
--在fetch into中使用bulk collect
FETCH c1 BULK COLLECT INTO v_table;
FORALL idx IN 1..v_table.COUNT
INSERT INTO test_forall VALUES v_table(idx);
COMMIT;
EXCEPTION
WHEN OTHERS THEN
ROLLBACK;
END;
在returning into中使用bulk collect
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CREATE TABLE test_forall2 AS SELECT * FROM test_forall;
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DECLARE
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TYPE IdList IS TABLE OF test_forall.User_Id%TYPE;
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enums IdList;
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TYPE NameList IS TABLE OF test_forall.user_name%TYPE;
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names NameList;
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BEGIN
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DELETE FROM test_forall2 WHERE user_id = 10100
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RETURNING user_id, user_name BULK COLLECT INTO enums, names;
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dbms_output.put_line('Deleted ' || SQL%ROWCOUNT || ' rows:');
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FOR i IN enums.FIRST .. enums.LAST
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LOOP
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dbms_output.put_line('User #' || enums(i) || ': ' || names(i));
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END LOOP;
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COMMIT;
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EXCEPTION
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WHEN OTHERS THEN
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ROLLBACK;
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END;
CREATE TABLE test_forall2 AS SELECT * FROM test_forall;
----在returning into中使用bulk collect
DECLARE
TYPE IdList IS TABLE OF test_forall.User_Id%TYPE;
enums IdList;
TYPE NameList IS TABLE OF test_forall.user_name%TYPE;
names NameList;
BEGIN
DELETE FROM test_forall2 WHERE user_id = 10100
RETURNING user_id, user_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('User #' || enums(i) || ': ' || names(i));
END LOOP;
COMMIT;
EXCEPTION
WHEN OTHERS THEN
ROLLBACK;
END;
批量更新中,将for改成forall
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DECLARE
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TYPE NumList IS VARRAY(20) OF NUMBER;
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depts NumList := NumList(10, 30, 70, ...);
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BEGIN
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...
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FOR i IN depts.FIRST..depts.LAST
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LOOP
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...
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UPDATE emp SET sal = sal * 1.10 WHERE deptno = depts(i);
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END LOOP:
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END;
DECLARE
TYPE NumList IS VARRAY(20) OF NUMBER;
depts NumList := NumList(10, 30, 70, ...);
-- department numbers
BEGIN
...
FOR i IN depts.FIRST..depts.LAST
LOOP
...
--UPDATE statement is sent to the SQL engine
-- with each iteration of the FOR loop!
UPDATE emp SET sal = sal * 1.10 WHERE deptno = depts(i);
END LOOP:
END;
-
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FORALL i IN depts.FIRST..depts.LAST
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UPDATE emp SET sal = sal * 1.10 WHERE deptno = depts(i);
--UPDATE statement is sent to the SQL engine just once, with the entire nested table
FORALL i IN depts.FIRST..depts.LAST
UPDATE emp SET sal = sal * 1.10 WHERE deptno = depts(i);
To maximize performance, rewrite your programs as follows:
a. If an INSERT, UPDATE, or DELETE statement executes inside a loop and References collection elements, move it into a FORALL statement.
b. If a SELECT INTO, FETCH INTO, or RETURNING INTO clause references a
Collection, incorporate the BULK COLLECT clause.
c. If possible, use host arrays to pass collections back and forth between your Programs and the database server.
d. If the failure of a DML operation on a particular row is not a serious problem,Include the keywords SAVE EXCEPTIONS in the FORALL statement and report Or clean up the errors in a subsequent loop using the %BULK_EXCEPTIONS Attribute.