index fast full scan 、index full scan

 

 

[Oracle] Index Full Scan vs Index Fast Full Scan

作者:汪海 (Wanghai)

日期:14-Aug-2005 

出处:http://spaces.msn.com/members/wzwanghai/

 

 

 

Index Full Scan vs Index Fast Full Scan

 

index full scanindex fast full scan是指同样的东西吗?

答案是no

两者虽然从字面上看起来差不多,但是实现的机制完全不同。

 

我们一起来看看两者的区别在哪里?

 

首先来看一下IFS,FFS能用在哪里:在一句sql中,如果我们想搜索的列都包含在索引里面的话,那么index full scan index fast full scan 都可以被采用代替full table scan

 

比如以下语句:

 

 1.创建测试表

SQL> CREATE TABLE TEST AS SELECT * FROM dba_objects WHERE 0=1;

 

2.创建测试索引

SQL> CREATE INDEX ind_test_id ON TEST(object_id);

 

3.插入测试数据

SQL> INSERT INTO TEST   SELECT   *       FROM dba_objects      WHERE object_id IS NOT NULL AND object_id > 10000   ORDER BY object_id DESC;

 

17837 rows created.

 

4.分析表 附带索引等等

SQL> analyze table test compute statistics for table for all columns for all indexes;

 

Table analyzed.

 

5.打开执行计划

SQL> set autotrace trace;

 

 

6.FFS示例

SQL> select object_id from test;

 

17837 rows selected.

 

Execution Plan

 

   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=68 Card=17837 Bytes=71348)

   1    0   TABLE ACCESS (FULL) OF 'TEST' (Cost=68 Card=17837 Bytes=71348)

这时候 Oracle会选择全表扫描,因为 object_id 列默认是可以为null的,来修改成 not null

 

6.1修改字段属性 not null 

SQL>alter table test modify(object_id not null);

 

6.2再次验证 FFS

SQL> select object_id from test;

 

17837 rows selected.

 

Execution Plan

 

   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=11 Card=17837 Bytes=71348)

   1    0   INDEX (FAST FULL SCAN) OF 'IND_TEST_ID' (NON-UNIQUE) (Cost=11 Card=17837 Bytes=71348)

没有问题

 

7. IFS 示例

SQL> select/*+ index(test ind_TEST_ID)*/ object_id from test;

 

17837 rows selected.

 

Execution Plan

 

   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=41 Card=17837 Bytes=71348)

   1    0   INDEX (FULL SCAN) OF 'IND_TEST_ID' (NON-UNIQUE) (Cost=101 Card=17837 Bytes=71348)

没有问题

 

我们看到了两者都可以在这种情况下使用,那么他们有什么区别呢?有个地方可以看出两者的区别, 来看一下两者的输出结果,为了让大家看清楚一点,我们只取10行。

 

8结果验证

8.1FFS(INDEX FAST FULL SCAN)

SQL> select object_id from test where rownum<11;

      

 OBJECT_ID

 

     66266

     66267

     66268

     66269

     66270

     66271

     66272

     66273

     66274

     66275

10 rows selected.

 

 

8.2FS(INDEX FULL SCAN)

SQL> select/*+ index(test ind_TEST_ID)*/ object_id from test  where rownum<11;

      

 OBJECT_ID

 

     10616

     12177

     12178

     12179

     12301

     13495

     13536

     13539

     13923

     16503

10 rows selected.

 

结论:两者的结果完全不一样,这是为什么呢?

这是因为当进行index full scan的时候 oracle定位到索引的root block,然后到branch block(如果有的话),再定位到第一个leaf block, 然后根据leaf block的双向链表顺序读取。它所读取的块都是有顺序的,也是经过排序的。

        而进行index fast full scan则不同,它是从段头开始,读取包含位图块,root block,所有的branch block, leaf block,读取的顺序完全由物理存储位置决定,并采取多块读,每次读取db_file_multiblock_read_count个块。

 

 

 

9.原因考证

这就是为什么两者的结果区别如此之大的原因,我们再仔细跟踪一下这两条语句。首先来看一下索引的结构

9.1 FFS 操作结果

SQL> select object_id from dba_objects where object_name='IND_TEST_ID';

 

 OBJECT_ID

 

     70591

索引的object_id70591,使用tree dump可以看到索引树的结构

9.2 索引结构探究

SQL> ALTER SESSION SET EVENTS 'immediate trace name TREEDUMP level 70591';

 

- begin tree dump

branch: 0x6809b8d 109091725 (0: nrow: 100, level: 1)

   leaf: 0x6809b96 109091734 (-1: nrow: 294 rrow: 0)

   leaf: 0x6c07ec1 113278657 (0: nrow: 262 rrow: 0)

   leaf: 0x6c07ebd 113278653 (1: nrow: 518 rrow: 0)

   leaf: 0x6c07eb1 113278641 (2: nrow: 524 rrow: 0)

   leaf: 0x6c07ead 113278637 (3: nrow: 524 rrow: 0)

   leaf: 0x6c07ea9 113278633 (4: nrow: 524 rrow: 0)

   leaf: 0x6c07ea5 113278629 (5: nrow: 524 rrow: 0)

   leaf: 0x6c07ea1 113278625 (6: nrow: 524 rrow: 0)

   leaf: 0x6c07e9d 113278621 (7: nrow: 524 rrow: 0)

   leaf: 0x6c07e99 113278617 (8: nrow: 524 rrow: 0)

   leaf: 0x6c07e95 113278613 (9: nrow: 532 rrow: 0)

   leaf: 0x6c07e91 113278609 (10: nrow: 524 rrow: 0)

   leaf: 0x6c07e8d 113278605 (11: nrow: 524 rrow: 0)

   leaf: 0x6c07ec8 113278664 (12: nrow: 524 rrow: 0)

   leaf: 0x6c07ec4 113278660 (13: nrow: 524 rrow: 0)

   leaf: 0x6c07ec0 113278656 (14: nrow: 524 rrow: 0)

   leaf: 0x6c07ebc 113278652 (15: nrow: 524 rrow: 0)

   leaf: 0x6809bb2 109091762 (16: nrow: 524 rrow: 0)

   leaf: 0x6c07eb8 113278648 (17: nrow: 524 rrow: 0)

   leaf: 0x6c07eb4 113278644 (18: nrow: 524 rrow: 0)

   leaf: 0x6c07eb0 113278640 (19: nrow: 524 rrow: 0)

   leaf: 0x6c07eac 113278636 (20: nrow: 524 rrow: 0)

   leaf: 0x6809bae 109091758 (21: nrow: 524 rrow: 0)

   leaf: 0x6c07ea8 113278632 (22: nrow: 524 rrow: 0)

   leaf: 0x6c07ea4 113278628 (23: nrow: 524 rrow: 0)

   leaf: 0x6c07ea0 113278624 (24: nrow: 105 rrow: 105)

   leaf: 0x6c07e9c 113278620 (25: nrow: 129 rrow: 129)

   leaf: 0x6c07eb9 113278649 (26: nrow: 123 rrow: 123)

   leaf: 0x6809baa 109091754 (27: nrow: 246 rrow: 246)

   leaf: 0x6c07e98 113278616 (28: nrow: 246 rrow: 246)

   leaf: 0x6c07e94 113278612 (29: nrow: 246 rrow: 246)

   leaf: 0x6809ba6 109091750 (30: nrow: 246 rrow: 246)

   leaf: 0x6809bce 109091790 (31: nrow: 246 rrow: 246)

   leaf: 0x6809bca 109091786 (32: nrow: 246 rrow: 246)

   leaf: 0x6809c05 109091845 (33: nrow: 248 rrow: 248)

   leaf: 0x6809c01 109091841 (34: nrow: 246 rrow: 246)

   leaf: 0x6809bfd 109091837 (35: nrow: 246 rrow: 246)

   leaf: 0x6809bf9 109091833 (36: nrow: 246 rrow: 246)

   leaf: 0x6809bf5 109091829 (37: nrow: 246 rrow: 246)

   leaf: 0x6809bf1 109091825 (38: nrow: 246 rrow: 246)

   leaf: 0x6809bed 109091821 (39: nrow: 246 rrow: 246)

   leaf: 0x6809be9 109091817 (40: nrow: 246 rrow: 246)

   leaf: 0x6809be5 109091813 (41: nrow: 246 rrow: 246)

   leaf: 0x6809be1 109091809 (42: nrow: 246 rrow: 246)

   leaf: 0x6809bdd 109091805 (43: nrow: 246 rrow: 246)

   leaf: 0x6809bd9 109091801 (44: nrow: 246 rrow: 246)

   leaf: 0x6809bd5 109091797 (45: nrow: 246 rrow: 246)

   leaf: 0x6809bd1 109091793 (46: nrow: 248 rrow: 248)

   leaf: 0x6809bcd 109091789 (47: nrow: 246 rrow: 246)

   leaf: 0x6809bc9 109091785 (48: nrow: 246 rrow: 246)

   leaf: 0x6809c08 109091848 (49: nrow: 246 rrow: 246)

   leaf: 0x6809c04 109091844 (50: nrow: 246 rrow: 246)

   leaf: 0x6809c00 109091840 (51: nrow: 246 rrow: 246)

   leaf: 0x6809bfc 109091836 (52: nrow: 246 rrow: 246)

   leaf: 0x6809bf8 109091832 (53: nrow: 246 rrow: 246)

   leaf: 0x6809bf4 109091828 (54: nrow: 246 rrow: 246)

   leaf: 0x6809bf0 109091824 (55: nrow: 246 rrow: 246)

   leaf: 0x6809bec 109091820 (56: nrow: 246 rrow: 246)

   leaf: 0x6809be8 109091816 (57: nrow: 246 rrow: 246)

   leaf: 0x6809be4 109091812 (58: nrow: 246 rrow: 246)

   leaf: 0x6809be0 109091808 (59: nrow: 248 rrow: 248)

   leaf: 0x6809bdc 109091804 (60: nrow: 246 rrow: 246)

   leaf: 0x6809bd8 109091800 (61: nrow: 246 rrow: 246)

   leaf: 0x6809bd4 109091796 (62: nrow: 246 rrow: 246)

   leaf: 0x6809bd0 109091792 (63: nrow: 246 rrow: 246)

   leaf: 0x6809bcc 109091788 (64: nrow: 246 rrow: 246)

   leaf: 0x6809c07 109091847 (65: nrow: 246 rrow: 246)

   leaf: 0x6809c03 109091843 (66: nrow: 246 rrow: 246)

   leaf: 0x6809bff 109091839 (67: nrow: 246 rrow: 246)

   leaf: 0x6809bfb 109091835 (68: nrow: 246 rrow: 246)

   leaf: 0x6809bf7 109091831 (69: nrow: 246 rrow: 246)

   leaf: 0x6809bf3 109091827 (70: nrow: 246 rrow: 246)

   leaf: 0x6809bef 109091823 (71: nrow: 246 rrow: 246)

   leaf: 0x6809beb 109091819 (72: nrow: 248 rrow: 248)

   leaf: 0x6809be7 109091815 (73: nrow: 246 rrow: 246)

   leaf: 0x6809be3 109091811 (74: nrow: 246 rrow: 246)

   leaf: 0x6809bdf 109091807 (75: nrow: 246 rrow: 246)

   leaf: 0x6809bdb 109091803 (76: nrow: 246 rrow: 246)

   leaf: 0x6809bd7 109091799 (77: nrow: 246 rrow: 246)

   leaf: 0x6809bd3 109091795 (78: nrow: 246 rrow: 246)

   leaf: 0x6809bcf 109091791 (79: nrow: 246 rrow: 246)

   leaf: 0x6809bcb 109091787 (80: nrow: 246 rrow: 246)

   leaf: 0x6809c06 109091846 (81: nrow: 246 rrow: 246)

   leaf: 0x6809c02 109091842 (82: nrow: 246 rrow: 246)

   leaf: 0x6809bfe 109091838 (83: nrow: 246 rrow: 246)

   leaf: 0x6809bfa 109091834 (84: nrow: 246 rrow: 246)

   leaf: 0x6809ba2 109091746 (85: nrow: 129 rrow: 129)

   leaf: 0x6c07eb5 113278645 (86: nrow: 123 rrow: 123)

   leaf: 0x6809bf6 109091830 (87: nrow: 246 rrow: 246)

   leaf: 0x6809bf2 109091826 (88: nrow: 246 rrow: 246)

   leaf: 0x6809bee 109091822 (89: nrow: 246 rrow: 246)

   leaf: 0x6809bea 109091818 (90: nrow: 246 rrow: 246)

   leaf: 0x6809b9e 109091742 (91: nrow: 246 rrow: 246)

   leaf: 0x6809be6 109091814 (92: nrow: 246 rrow: 246)

   leaf: 0x6809be2 109091810 (93: nrow: 246 rrow: 246)

   leaf: 0x6809bde 109091806 (94: nrow: 246 rrow: 246)

   leaf: 0x6809bda 109091802 (95: nrow: 246 rrow: 246)

   leaf: 0x6809b9a 109091738 (96: nrow: 246 rrow: 246)

   leaf: 0x6809bd6 109091798 (97: nrow: 246 rrow: 246)

   leaf: 0x6809bd2 109091794 (98: nrow: 246 rrow: 246)

- end tree dump

 

index full scan     读取的是 0x6c07ea0 这个块 

读取顺序:首先定位到索引的root block、然后到branch block(如果有的话)、再定位到第一个leaf block, 然后根据leaf block的双向链表顺序读取。

结论:它所读取的块都是有顺序的,也是经过排序的。FS 数据应该是从头开始的

 

index fast full scan读取的是 0x6809b9a 这个块 

读取顺序: 从段头开始,读取包含位图块、root block、所有的branch blockleaf block,读取的顺序完全有物理存储位置决定,并采取多块读,每次读取db_file_multiblock_read_count个块

结论:也就是包含数据的物理存储位置最前的块。    FFS数据应该不是从头开始的

 

9.3 分别看一下这两个块的内容

 

FS: 0x6c07ea0 =十进制的113278624

FFS:0x6809b9a =十进制的109091738

 

 

SQL> select dbms_utility.data_block_address_file(113278624) "file",dbms_utility.data_block_address_block(113278624) "block"  from dual;

 

      file      block

 

        27      32416

FS: 文件号 27 快号  32416

 

SQL> select dbms_utility.data_block_address_file(109091738) "file",dbms_utility.data_block_address_block(109091738)"block"  from dual;

 

      file      block

 

        26      39834

FFS: 文件号 26 块号 39834

 

9.4 dump该数据块

SQL> alter system dump datafile 26 block 39834;

block 39834的前10

row#0[4591] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 43

col 1; len 6; (6):  02 81 71 f6 00 36

row#1[4605] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 44

col 1; len 6; (6):  02 81 71 f6 00 35

row#2[4619] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 45

col 1; len 6; (6):  02 81 71 f6 00 34

row#3[4633] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 46

col 1; len 6; (6):  02 81 71 f6 00 33

row#4[4647] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 47

col 1; len 6; (6):  02 81 71 f6 00 32

row#5[4661] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 48

col 1; len 6; (6):  02 81 71 f6 00 31

row#6[4675] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 49

col 1; len 6; (6):  02 81 71 f6 00 30

row#7[4689] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 4a

col 1; len 6; (6):  02 81 71 f6 00 2f

row#8[4703] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 4b

col 1; len 6; (6):  02 81 71 f6 00 2e

row#9[4717] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 4c

col 1; len 6; (6):  02 81 71 f6 00 2d

 

 

SQL> alter system dump datafile 27 block 32416;

block 32416的前10 

row#0[6564] flag: -, lock: 2

col 0; len 4; (4):  c3 02 07 11

col 1; len 6; (6):  07 00 7c 20 00 2b

row#1[6578] flag: -, lock: 2

col 0; len 4; (4):  c3 02 16 4e

col 1; len 6; (6):  07 00 7c 20 00 2a

row#2[6592] flag: -, lock: 2

col 0; len 4; (4):  c3 02 16 4f

col 1; len 6; (6):  07 00 7c 20 00 29

row#3[6606] flag: -, lock: 2

col 0; len 4; (4):  c3 02 16 50

col 1; len 6; (6):  07 00 7c 20 00 28

row#4[6620] flag: -, lock: 2

col 0; len 4; (4):  c3 02 18 02

col 1; len 6; (6):  07 00 7c 20 00 27

row#5[6634] flag: -, lock: 2

col 0; len 4; (4):  c3 02 23 60

col 1; len 6; (6):  07 00 7c 20 00 26

row#6[6648] flag: -, lock: 2

col 0; len 4; (4):  c3 02 24 25

col 1; len 6; (6):  07 00 7c 20 00 25

row#7[6662] flag: -, lock: 2

col 0; len 4; (4):  c3 02 24 28

col 1; len 6; (6):  07 00 7c 20 00 24

row#8[6676] flag: -, lock: 2

col 0; len 4; (4):  c3 02 28 18

col 1; len 6; (6):  07 00 7c 20 00 23

row#9[6690] flag: -, lock: 2

col 0; len 4; (4):  c3 02 42 04

col 1; len 6; (6):  07 00 7c 20 00 22

 

 

 

 

9.5 对照一下前面的结果集

 

block 32416的第一行为10616,数据内的存储格式应该为

SQL> select dump(10616,16) from dual;

 

DUMP(10616,16)

 

Typ=2 Len=4: c3,2,7,11

确实等于dump block所看到的

row#0[6564] flag: -, lock: 2

col 0; len 4; (4):  c3 02 07 11

col 1; len 6; (6):  07 00 7c 20 00 2b

 

再看block 39834的第1

SQL> select dump(66266,16) from dual;

 

DUMP(66266,16)

-

Typ=2 Len=4: c3,7,3f,43

dump 的结果也一样

row#0[4591] flag: -, lock: 2

col 0; len 4; (4):  c3 07 3f 43

col 1; len 6; (6):  02 81 71 f6 00 36

9.6 结论:证明了上面所说的index full scanindex fast full scan的不同。

 

10.我们也可以用10046事件去跟踪两者走的路径

10.1.1 清空buffer_cache

SQL> ALTER SESSION SET EVENTS 'immediate trace name flush_cache';

(清空buffer cache,以便观看'db file sequential read','db file scattered read'事件)。

 

10.1.2 打开10046事件

SQL> alter session set events'10046 trace name context forever,level 12';

 

Session altered.

10.1.3 FFS 结果

SQL> select object_id from test where rownum<11;

      

 OBJECT_ID

 

     66266

     66267

     66268

     66269

     66270

     66271

     66272

     66273

     66274

     66275

10 rows selected.

 

10.1.4 关闭10046事件

SQL>  alter session set events'10046 trace name context off';

 

Session altered.

 

10.1.5 观察该 FFS trc文件

[oracle@csdbc udump]$ grep read cs-dbc_ora_15596.trc

 

Redo thread mounted by this instance: 1

WAIT #1: nam='db file sequential read' ela= 33 p1=26 p2=39820 p3=1

WAIT #1: nam='db file sequential read' ela= 21 p1=26 p2=39817 p3=1

WAIT #1: nam='db file sequential read' ela= 17 p1=26 p2=39819 p3=1

WAIT #1: nam='db file parallel read' ela= 53 p1=2 p2=2 p3=2

WAIT #1: nam='db file scattered read' ela= 466 p1=26 p2=39821 p3=16

最前面的'db file sequential read'是由于读段头等操作,我们来关注'db file scattered read'事件,因为index fast full scan是采用多块读,从39821开始读取db_file_multiblock_read_count个块(本例里设置为16)。我们关心的39834块正位于其中。

 

10.2 再来看index full scan10046 trace

10.2.1 清空buffer cache

SQL> ALTER SESSION SET EVENTS 'immediate trace name flush_cache';

(清空buffer cache,以便观看'db file sequential read','db file scattered read'事件)。

 

10.2.2 打开10046事件

SQL> alter session set events'10046 trace name context forever,level 12';

 

Session altered.

 

10.2.3 FS结果

SQL> select/*+ index(test ind_TEST_ID)*/ object_id from test  where rownum<11;

 OBJECT_ID

 

     10616

     12177

     12178

     12179

     12301

     13495

     13536

     13539

     13923

     16503

    

10 rows selected.

 

10.2.4 关闭10046事件

SQL>  alter session set events'10046 trace name context off';

 

Session altered.

 

10.2.5 观察该 FS trc文件 

[oracle@csdbc udump]$ grep read cs-dbc_ora_15609.trc

Redo thread mounted by this instance: 1

WAIT #1: nam='db file sequential read' ela= 49 p1=26 p2=39821 p3=1

root block,正是先前索引树dump里面的 0x6809b8d

WAIT #1: nam='db file sequential read' ela= 32 p1=26 p2=39830 p3=1

WAIT #1: nam='db file sequential read' ela= 40 p1=27 p2=32449 p3=1

WAIT #1: nam='db file sequential read' ela= 35 p1=27 p2=32445 p3=1

WAIT #1: nam='db file sequential read' ela= 28 p1=27 p2=32433 p3=1

WAIT #1: nam='db file sequential read' ela= 19 p1=27 p2=32429 p3=1

WAIT #1: nam='db file sequential read' ela= 34 p1=27 p2=32425 p3=1

WAIT #1: nam='db file sequential read' ela= 32 p1=27 p2=32421 p3=1

WAIT #1: nam='db file sequential read' ela= 33 p1=27 p2=32417 p3=1

WAIT #1: nam='db file sequential read' ela= 29 p1=27 p2=32413 p3=1

WAIT #1: nam='db file sequential read' ela= 37 p1=27 p2=32409 p3=1

WAIT #1: nam='db file sequential read' ela= 32 p1=27 p2=32405 p3=1

WAIT #1: nam='db file sequential read' ela= 35 p1=27 p2=32401 p3=1

WAIT #1: nam='db file sequential read' ela= 34 p1=27 p2=32397 p3=1

WAIT #1: nam='db file sequential read' ela= 31 p1=27 p2=32456 p3=1

WAIT #1: nam='db file sequential read' ela= 29 p1=27 p2=32452 p3=1

WAIT #1: nam='db file sequential read' ela= 31 p1=27 p2=32448 p3=1

WAIT #1: nam='db file sequential read' ela= 30 p1=27 p2=32444 p3=1

WAIT #1: nam='db file sequential read' ela= 38 p1=26 p2=39858 p3=1

WAIT #1: nam='db file sequential read' ela= 31 p1=27 p2=32440 p3=1

WAIT #1: nam='db file sequential read' ela= 32 p1=27 p2=32436 p3=1

WAIT #1: nam='db file sequential read' ela= 35 p1=27 p2=32432 p3=1

WAIT #1: nam='db file sequential read' ela= 31 p1=27 p2=32428 p3=1

WAIT #1: nam='db file sequential read' ela= 29 p1=26 p2=39854 p3=1

WAIT #1: nam='db file sequential read' ela= 36 p1=27 p2=32424 p3=1

WAIT #1: nam='db file sequential read' ela= 32 p1=27 p2=32420 p3=1

WAIT #1: nam='db file sequential read' ela= 36 p1=27 p2=32416 p3=1

 

10.3 结论

index full scan走的路径正是文章开始所提到的定位到root block,然后根据leaf block链表一路读取块。

看到这里大家应该比较了解index full scan index fast full scan的区别了。

 

11. 最后补充一下 index full scan index fast full scan 在排序上的不同。

 

11.1打开trace跟踪

SQL> set autotrace trace;

 

11.2 FS 结果验证

SQL> select object_id from test order by object_id;

 

17837 rows selected.

 

Execution Plan

 

   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=41 Card=17837 Bytes=71348)

   1    0   INDEX (FULL SCAN) OF 'IND_TEST_ID' (NON-UNIQUE) (Cost=101 Card=17837 Bytes=71348)

由于有排序所以oracle自动选择了index full scan避免了排序。那么强制用index fast full scan呢?

 

 11.3 FFS结果验证

SQL> select/*+ index_ffs(test ind_test_id)*/object_id from test order by object_id;

17837 rows selected.

 

Execution Plan

 

   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=59 Card=17837 Bytes=71348)

   1    0   SORT (ORDER BY) (Cost=59 Card=17837 Bytes=71348)

   2    1     INDEX (FAST FULL SCAN) OF 'IND_TEST_ID' (NON-UNIQUE) (Cost=11 Card=17837 Bytes=71348)

 

结论:

index full scan 会自动的执行 sort (order by)

index fast full scan会多一步 sort (order by)

 

 

 

本文原作者

WangHai(要了解他请访问他的Blog). 本文版权归原作者所有。转载请注明作者及出处!

创建时间:2022-04-02 14:03
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