index full scan与index fast full scan

发表于:2007-06-22来源:作者:点击数: 标签:
Index Full Scan vs Index Fast Full Scan index full scan和index 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

   
  Index Full Scan vs Index Fast Full Scan
  index full scan和index 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 和 index fast full scan 都可以被采用代替full table scan。比如以下语句:
  
  SQL> CREATE TABLE TEST AS SELECT * FROM dba_objects WHERE 0=1;
  
  SQL> CREATE INDEX ind_test_id ON TEST(object_id);
  
  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.
  
  SQL> analyze table test compute statistics for table for all columns for all indexes;
  
  Table analyzed.
  SQL> set autotrace trace;
  
  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:
  
  
  SQL>alter table test modify(object_id not null);
  
  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)
  
  当然我们也可以使用index full scan:
  
  
  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)
  
  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。
  
  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.
  
  
  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.
  
  可以看到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,读取的顺序完全有物理存储位置决定,并采取多块读,没次读取db_file_multiblock_read_count个块。
  
  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
  
  
  SQL> select object_id from dba_objects where object_name='IND_TEST_ID';
  
   OBJECT_ID
  ----------
     70591
  索引的object_id为70591,使用tree dump可以看到索引树的结构 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: 0x6809b

原文转自:http://www.ltesting.net