空间管理Oracle函数使索引列失效的解决办法

在索引列上使用函数使得索引失效的是常见的索引失效原因之一,因此尽可能的避免在索引列上使用函数。尽管可以使用基于函数的索引来解决索引失效的问题,但如此一来带来的比如磁盘空间的占用以及列上过多的索引导致DML性能的下降。本文描述的是一个索引列上使用函数使其失效的案例。

一、数据版本与原始语句及相关信息

1.版本信息

SQL> select * from v$version;

BANNER
—————————————————————-
Oracle Database 10g Release 10.2.0.3.0 – 64bit Production
PL/SQL Release 10.2.0.3.0 – Production
CORE 10.2.0.3.0 Production
TNS for Linux: Version 10.2.0.3.0 – Production
NLSRTL Version 10.2.0.3.0 – Production

 2.原始语句与其执行计划

SQL> set autotrace traceonly exp;

SELECT acc_num,
curr_cd,
DECODE(‘20110728’,
(SELECT TO_CHAR(LAST_DAY(TO_DATE(‘20110728’, ‘YYYYMMDD’)),
‘YYYYMMDD’)
FROM DUAL),
0,
adj_credit_int_lv1_amt + adj_credit_int_lv2_amt –
adj_debit_int_lv1_amt – adj_debit_int_lv2_amt) AS interest
FROM acc_pos_int_tbl ACC_POS_INT_TBL1
WHERE SUBSTR(business_date, 1, 6) = SUBSTR(‘20110728’, 1, 6)
AND business_date <= ‘20110728’;

Execution Plan
———————————————————-
Plan hash value: 3114115399

————————————————————————————-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
————————————————————————————-
| 0 | SELECT STATEMENT | | 336K| 12M| 96399 (1)| 00:19:17 |
| 1 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
|* 2 | TABLE ACCESS FULL| ACC_POS_INT_TBL | 336K| 12M| 96399 (1)| 00:19:17 |
————————————————————————————-

Predicate Information (identified by operation id):
—————————————————

2 – filter(SUBSTR(“BUSINESS_DATE”,1,6)=’201107′ AND
“BUSINESS_DATE”<=’20110728′)

从执行计划可以看出,SQL语句使用了全表扫描,而where 子句中只有唯一的一列business_date

3.表上的索引信息

SQL> set autotrace off;
SQL> set linesize 190
SQL> @Idx_Info
Enter value for owner: goex_admin
old 10: AND owner = upper(‘&owner’)
new 10: AND owner = upper(‘goex_admin’)
Enter value for table_name: ACC_POS_INT_TBL
old 11: AND a.table_name = upper(‘&table_name’)
new 11: AND a.table_name = upper(‘ACC_POS_INT_TBL’)

TABLE_NAME INDEX_NAME COL_NAM CL_POS STATUS IDX_TYP DSCD
—————— ———————— ——————– —— ——– ————— —-
ACC_POS_INT_TBL ACC_POS_INT_10DIG_IDX SYS_NC00032$ 1 VALID FUNCTION-BASED ASC
NORMAL

ACC_POS_INT_TBL ACC_POS_INT_10DIG_IDX BUSINESS_DATE 2 VALID FUNCTION-BASED ASC
NORMAL

ACC_POS_INT_TBL ACC_POS_INT_10DIG_IDX CURR_CD 3 VALID FUNCTION-BASED ASC
NORMAL

ACC_POS_INT_TBL PK_ACC_POS_INT_TBL ACC_NUM 1 VALID NORMAL ASC
ACC_POS_INT_TBL PK_ACC_POS_INT_TBL BUSINESS_DATE 2 VALID NORMAL ASC

从索引的情况上来看有一个基于主键的索引包含了BUSINESS_DATE列,而查询语句并没有走索引而是选择的全表扫描,而且预估所返回的行Rows与bytes也是大的惊人,cost的值96399,接近10W。

二、分析与改造SQL语句

1.原始的SQL语句分析

SQL语句中where子句的business_date列实现对记录过滤

business_date <= ‘20110728’条件不会限制索引的使用

SUBSTR(business_date, 1, 6) = SUBSTR(‘20110728’, 1, 6)使用了SUBSTR函数,限制了优化器选择索引

基于business_date列来建立索引函数,从已存在的索引来看,必要性不大

2.改造SQL语句

SUBSTR(business_date, 1, 6) = SUBSTR(‘20110728’, 1, 6)的实质是等于当月,即限制返回的行为从2011.7.1日至2011.7.28

因此其返回的记录大于等于2011.7.1,且小于2011.7.28

做如下改造

business_date >=to_char(last_day(add_months(to_date(‘20110728′,’yyyymmdd’),-1)) + 1,’yyyymmdd’)

3.改造后的SQL语句

SELECT acc_num,
curr_cd,
DECODE(‘20110728’,
(SELECT TO_CHAR(LAST_DAY(TO_DATE(‘20110728’, ‘YYYYMMDD’)),
‘YYYYMMDD’)
FROM DUAL),
0,
adj_credit_int_lv1_amt + adj_credit_int_lv2_amt –
adj_debit_int_lv1_amt – adj_debit_int_lv2_amt) AS interest
FROM acc_pos_int_tbl ACC_POS_INT_TBL1
WHERE business_date >=
to_char(last_day(add_months(to_date(‘20110728’, ‘yyyymmdd’), -1)) + 1,
‘yyyymmdd’)
AND business_date <= ‘20110728’;

4.改造后的执行计划

Execution Plan
———————————————————-
Plan hash value: 66267922

————————————————————————————————–
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
————————————————————————————————–
| 0 | SELECT STATEMENT | | 1065K| 39M| 75043 (1)| 00:15:01 |
| 1 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 2 | TABLE ACCESS BY INDEX ROWID| ACC_POS_INT_TBL | 1065K| 39M| 75043 (1)| 00:15:01 |
|* 3 | INDEX SKIP SCAN | PK_ACC_POS_INT_TBL | 33730 | | 41180 (1)| 00:08:15 |
————————————————————————————————–

Predicate Information (identified by operation id):
—————————————————

3 – access(“BUSINESS_DATE”>=’20110701′ AND “BUSINESS_DATE”<=’20110728′)
filter(“BUSINESS_DATE”>=’20110701′ AND “BUSINESS_DATE”<=’20110728′)

改造后可以看到SQL语句的执行计划已经由原来的全表扫描改为执行INDEX SKIP SCAN,但其cost也并没有降低多少

三、进一步分析

1.表的相关信息

SQL> @Tab_Stat
Enter value for input_table_name: ACC_POS_INT_TBL
old 11: WHERE table_name = upper(‘&input_table_name’)
new 11: WHERE table_name = upper(‘ACC_POS_INT_TBL’)
Enter value for input_owner: goex_admin
old 12: AND owner = upper(‘&input_owner’)
new 12: AND owner = upper(‘goex_admin’)

NUM_ROWS BLKS EM_BLKS AVG_SPACE CHAIN_CNT AVG_ROW_LEN AVG_ROWS_PER_BLOCK LST_ANLY STA
———- ———- ———- ———- ———- ———– —————— ——— —
33659947 437206 1322 855 0 99 77 27-SEP-11 NO

2.索引的相关信息

SQL> @Idx_Stat
Enter value for input_table_name: ACC_POS_INT_TBL
old 11: WHERE table_name = upper(‘&input_table_name’)
new 11: WHERE table_name = upper(‘ACC_POS_INT_TBL’)
Enter value for input_owner: goex_admin
old 12: AND owner = upper(‘&input_owner’)
new 12: AND owner = upper(‘goex_admin’)

BLEV IDX_NAME LF_BLKS DST_KEYS NUM_ROWS LF_PER_KEY DAT_BLK_PER_KEY CLUS_FCT LST_ANLY
—- —————————— ———- ———- ———- ———- ————— ———- ———
3 PK_ACC_POS_INT_TBL 155658 33777720 33777720 1 1 33777447 27-SEP-11
3 ACC_POS_INT_10DIG_IDX 160247 32850596 32850596 1 1 32763921 27-SEP-11

3.尝试在BUSINESS_DATE列上创建索引

SQL> create index I_ACC_POS_INT_TBL_BS_DT on ACC_POS_INT_TBL(BUSINESS_DATE) tablespace tbs_tmp nologging;

Index created.

SQL> @Idx_Stat
Enter value for input_table_name: ACC_POS_INT_TBL
old 11: WHERE table_name = upper(‘&input_table_name’)
new 11: WHERE table_name = upper(‘ACC_POS_INT_TBL’)
Enter value for input_owner: goex_admin
old 12: AND owner = upper(‘&input_owner’)
new 12: AND owner = upper(‘goex_admin’)

BLEV IDX_NAME LF_BLKS DST_KEYS NUM_ROWS LF_PER_KEY DAT_BLK_PER_KEY CLUS_FCT LST_ANLY
—- —————————— ———- ———- ———- ———- ————— ———- ———
2 I_ACC_POS_INT_TBL_BS_DT 93761 908 33659855 103 506 460007 30-SEP-11
3 PK_ACC_POS_INT_TBL 155658 33777720 33777720 1 1 33777447 27-SEP-11
3 ACC_POS_INT_10DIG_IDX 160247 32850596 32850596 1 1 32763921 27-SEP-11

建立索引后聚簇因子较小,差不多接近表上块的数量

4.使用新创建索引后的执行计划

Execution Plan
———————————————————-
Plan hash value: 2183566226

——————————————————————————————————-
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
——————————————————————————————————-
| 0 | SELECT STATEMENT | | 1065K| 39M| 17586 (1)| 00:03:32 |
| 1 | FAST DUAL | | 1 | | 2 (0)| 00:00:01 |
| 2 | TABLE ACCESS BY INDEX ROWID| ACC_POS_INT_TBL | 1065K| 39M| 17586 (1)| 00:03:32 |
|* 3 | INDEX RANGE SCAN | I_ACC_POS_INT_TBL_BS_DT | 1065K| | 2984 (1)| 00:00:36 |
——————————————————————————————————-

Predicate Information (identified by operation id):
—————————————————

3 – access(“BUSINESS_DATE”>=’20110701′ AND “BUSINESS_DATE”<=’20110728′)

从上面的执行计划看出,SQL语句已经选择了新建的索引尽管返回的rows,bytes没有明显的变化,但cost已经少了近7倍。

以上所述是小编给大家介绍的空间管理空间管理空间管理Oracle函数使索引列失效的解决办法,希望对大家有所帮助。在此也非常感谢大家对网站的支持!


数据运维技术 » 空间管理Oracle函数使索引列失效的解决办法