通过本文主要向大家介绍了oracle数据库sql语句,oracle分页sql语句,oracle sql语句大全,oracle常用sql语句,oracle sql语句等相关知识,希望本文的分享对您有所帮助
原来的语句是这样的：
select sum(sl0000) from xstfxps2 where
dhao00 in (
select dhao00 from xstfxps1 where trunc(ywrq00)=trunc(sysdate)
and khdm00='500000003913');
已用时间: 00: 02: 49.04
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 NESTED LOOPS
3 2 TABLE ACCESS (FULL) OF 'XSTFXPS2'
4 2 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS1'
5 4 INDEX (UNIQUE SCAN) OF 'XSTFXPS1_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
17355138 consistent gets
34141 physical reads
2912 redo size
198 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们看到统计信息里面进行了17355138次逻辑读，34141次物理IO，这是相当吓人的数字。在执行计划里面我们看到表XSTFXPS2来了一次全表扫描。
我们首先看一下这两张表总的数据量：
SQL> select count(*) from xstfxps2;
COUNT(*)
----------
5585018
我们这里看到XSTFXPS2这张表有5585018条记录。
SQL> select count(*) from xstfxps1;
COUNT(*)
----------
702121
两张表的表结构如下所示：
SQL> desc xstfxps1
Name Type Nullable Default Comments
------ ------------ -------- ------- --------
DHAO00 NUMBER(8)
LHDH00 NUMBER(8) Y
FLDH00 NUMBER(8) Y
FPLB00 VARCHAR2(2) Y
YWRQ00 DATE Y
YWRY00 VARCHAR2(8) Y
SHRQ00 DATE Y
XSQRRQ DATE Y
XSQRRY VARCHAR2(8) Y
KHDM00 VARCHAR2(12)
XKZH00 VARCHAR2(12)
CKDM00 VARCHAR2(2) Y
THCKDM VARCHAR2(2) Y
XSFSDM VARCHAR2(2) Y
FXRYDM VARCHAR2(4) Y
SHRYDM VARCHAR2(4) Y
SHBJ00 VARCHAR2(1) 'N'
FXBJ00 VARCHAR2(1) 'N'
SKBJ00 VARCHAR2(2) Y
FKDM00 VARCHAR2(2) Y
SQL> desc xstfxps2
Name Type Nullable Default Comments
------ ------------ -------- ------- --------
DHAO00 NUMBER(8)
SPDM00 VARCHAR2(8)
DJIA00 NUMBER(7,2) 0
FXSL00 NUMBER Y 0
SL0000 NUMBER Y 0
THSL00 NUMBER Y 0
JE0000 NUMBER Y 0
SE0000 NUMBER Y
FPBBH0 VARCHAR2(11) Y
FPHAO0 VARCHAR2(10) Y
RBDH00 NUMBER(8) Y
其中XSTFXPS1的客户订单的表头，保存订单的客户信息、订货日期等信息。XSTFXPS2是订单的表体，详细记录了客户订单的商品、价格、数量等信息。
调整的第一步是把子查询提取出来，再看语句的执行计划。通常来说，如果语句能够避免子查询的使用，就尽量不用子查询。因为子查询的开销是相当昂贵的。改写后的语句如下：
select sum(sl0000)
from xstfxps2 a,(select dhao00 from xstfxps1 where trunc(ywrq00)=trunc(sysdate)
and khdm00='500000003913') b
where a.dhao00=b.dhao00;
已用时间: 00: 00: 03.05
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS2'
3 2 NESTED LOOPS
4 3 TABLE ACCESS (FULL) OF 'XSTFXPS1'
5 3 INDEX (RANGE SCAN) OF 'XSTFXPS2_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
11974 consistent gets
225 physical reads
832 redo size
211 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们可以看到逻辑IO由原来的17355138次下降到11974次，有了数量级的提升。执行时间也有原来将近3分钟下降到现在的3秒多一些。很显然性能有了大幅的提升。不过我们看到执行计划里面表XSTFXPS1还是有一个全表扫描存在。通常来说我们应该尽量避免全表扫描的存在，尤其对于大表，应该建立合适的索引以避免FTS的产生。我们来看这两张表的索引信息：
select index_name,column_name from dba_ind_columns where table_name like 'XSTFXPS%'
INDEX_NAME COLUMN_NAME
------------------------------ -----------------------------------
XSTFXPS1_PK DHAO00
XSTFXPS2_PK DHAO00
XSTFXPS2_PK SPDM00
我们看到这两张表除了主键约束外都没有建另外的索引。根据语句的查询情况，我们建立了如下的复合索引：
create index idx_xstfxps1_khdm00_ywrq00 on xstfxps1(khdm00,ywrq00) tablespace indx;
为了使用索引，我们必须对原来的日期字段的条件进行一些调整。因为有个trunc()函数的存在，语句将不会使用到索引。我们只要明白trunc(ywrq00)=trunc(sysdate)事实上等同于ywrq00大于trunc(sysdate)，小于trunc(sysdate+1)减去一秒，我们就有了比较好的办法来处理
这个条件。最终改写后的语句如下：
select sum(sl0000)
from xstfxps2 a, xstfxps1 b
where a.dhao00=b.dhao00
and b.khdm00='500000003913'
and b.ywrq00 between trunc(sysdate)
and trunc(sysdate)+1-1/(24*60*60);
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS2'
3 2 NESTED LOOPS
4 3 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS1'
5 4 INDEX (RANGE SCAN) OF 'IDX_XSTFXPS1_KHDM00_YWRQ00'
(NON-UNIQUE)
6 3 INDEX (RANGE SCAN) OF 'XSTFXPS2_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
3 consistent gets
0 physical reads
0 redo size
210 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们这时候看逻辑IO已经降为3次，语句的执行计划也符合我们的调整目标，创建的索引产生了比较大的效果。这条语句的调整至此告一段落。 </div>
select sum(sl0000) from xstfxps2 where
dhao00 in (
select dhao00 from xstfxps1 where trunc(ywrq00)=trunc(sysdate)
and khdm00='500000003913');
已用时间: 00: 02: 49.04
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 NESTED LOOPS
3 2 TABLE ACCESS (FULL) OF 'XSTFXPS2'
4 2 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS1'
5 4 INDEX (UNIQUE SCAN) OF 'XSTFXPS1_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
17355138 consistent gets
34141 physical reads
2912 redo size
198 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们看到统计信息里面进行了17355138次逻辑读，34141次物理IO，这是相当吓人的数字。在执行计划里面我们看到表XSTFXPS2来了一次全表扫描。
我们首先看一下这两张表总的数据量：
SQL> select count(*) from xstfxps2;
COUNT(*)
----------
5585018
我们这里看到XSTFXPS2这张表有5585018条记录。
SQL> select count(*) from xstfxps1;
COUNT(*)
----------
702121
两张表的表结构如下所示：
SQL> desc xstfxps1
Name Type Nullable Default Comments
------ ------------ -------- ------- --------
DHAO00 NUMBER(8)
LHDH00 NUMBER(8) Y
FLDH00 NUMBER(8) Y
FPLB00 VARCHAR2(2) Y
YWRQ00 DATE Y
YWRY00 VARCHAR2(8) Y
SHRQ00 DATE Y
XSQRRQ DATE Y
XSQRRY VARCHAR2(8) Y
KHDM00 VARCHAR2(12)
XKZH00 VARCHAR2(12)
CKDM00 VARCHAR2(2) Y
THCKDM VARCHAR2(2) Y
XSFSDM VARCHAR2(2) Y
FXRYDM VARCHAR2(4) Y
SHRYDM VARCHAR2(4) Y
SHBJ00 VARCHAR2(1) 'N'
FXBJ00 VARCHAR2(1) 'N'
SKBJ00 VARCHAR2(2) Y
FKDM00 VARCHAR2(2) Y
SQL> desc xstfxps2
Name Type Nullable Default Comments
------ ------------ -------- ------- --------
DHAO00 NUMBER(8)
SPDM00 VARCHAR2(8)
DJIA00 NUMBER(7,2) 0
FXSL00 NUMBER Y 0
SL0000 NUMBER Y 0
THSL00 NUMBER Y 0
JE0000 NUMBER Y 0
SE0000 NUMBER Y
FPBBH0 VARCHAR2(11) Y
FPHAO0 VARCHAR2(10) Y
RBDH00 NUMBER(8) Y
其中XSTFXPS1的客户订单的表头，保存订单的客户信息、订货日期等信息。XSTFXPS2是订单的表体，详细记录了客户订单的商品、价格、数量等信息。
调整的第一步是把子查询提取出来，再看语句的执行计划。通常来说，如果语句能够避免子查询的使用，就尽量不用子查询。因为子查询的开销是相当昂贵的。改写后的语句如下：
select sum(sl0000)
from xstfxps2 a,(select dhao00 from xstfxps1 where trunc(ywrq00)=trunc(sysdate)
and khdm00='500000003913') b
where a.dhao00=b.dhao00;
已用时间: 00: 00: 03.05
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS2'
3 2 NESTED LOOPS
4 3 TABLE ACCESS (FULL) OF 'XSTFXPS1'
5 3 INDEX (RANGE SCAN) OF 'XSTFXPS2_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
11974 consistent gets
225 physical reads
832 redo size
211 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们可以看到逻辑IO由原来的17355138次下降到11974次，有了数量级的提升。执行时间也有原来将近3分钟下降到现在的3秒多一些。很显然性能有了大幅的提升。不过我们看到执行计划里面表XSTFXPS1还是有一个全表扫描存在。通常来说我们应该尽量避免全表扫描的存在，尤其对于大表，应该建立合适的索引以避免FTS的产生。我们来看这两张表的索引信息：
select index_name,column_name from dba_ind_columns where table_name like 'XSTFXPS%'
INDEX_NAME COLUMN_NAME
------------------------------ -----------------------------------
XSTFXPS1_PK DHAO00
XSTFXPS2_PK DHAO00
XSTFXPS2_PK SPDM00
我们看到这两张表除了主键约束外都没有建另外的索引。根据语句的查询情况，我们建立了如下的复合索引：
create index idx_xstfxps1_khdm00_ywrq00 on xstfxps1(khdm00,ywrq00) tablespace indx;
为了使用索引，我们必须对原来的日期字段的条件进行一些调整。因为有个trunc()函数的存在，语句将不会使用到索引。我们只要明白trunc(ywrq00)=trunc(sysdate)事实上等同于ywrq00大于trunc(sysdate)，小于trunc(sysdate+1)减去一秒，我们就有了比较好的办法来处理
这个条件。最终改写后的语句如下：
select sum(sl0000)
from xstfxps2 a, xstfxps1 b
where a.dhao00=b.dhao00
and b.khdm00='500000003913'
and b.ywrq00 between trunc(sysdate)
and trunc(sysdate)+1-1/(24*60*60);
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 SORT (AGGREGATE)
2 1 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS2'
3 2 NESTED LOOPS
4 3 TABLE ACCESS (BY INDEX ROWID) OF 'XSTFXPS1'
5 4 INDEX (RANGE SCAN) OF 'IDX_XSTFXPS1_KHDM00_YWRQ00'
(NON-UNIQUE)
6 3 INDEX (RANGE SCAN) OF 'XSTFXPS2_PK' (UNIQUE)
Statistics
----------------------------------------------------------
0 recursive calls
0 db block gets
3 consistent gets
0 physical reads
0 redo size
210 bytes sent via SQL*Net to client
275 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
1 rows processed
我们这时候看逻辑IO已经降为3次，语句的执行计划也符合我们的调整目标，创建的索引产生了比较大的效果。这条语句的调整至此告一段落。 </div>