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Oracle 11g数据库中的内存回滚测试

  【IT168 技术文档】IMU是10g引入的一项新技术,并且是Oracle的专利技术。但是,在10g中似乎没有完全激活,以下的测试在10.2.0.3中无法通过,在11g中可以进行。

  在传统的事务更新过程中,如果一条数据记录被更新,就会从buffer cache中读取/分配一块UNDO数据块,并且立即会写入一条UNDO条目。如果同一个事务中有多条记录被更新,则undo buffer数据块中就会写入多条undo条目。引入IMU后,会从shared pool中分配出一个新的内存池——IMU pool。当一条数据记录被更新,仍然会从buffer cache中读取/分配一块undo数据块,但是,这块undo块并不会立即被更新,而是会在IMU pool中产生一个IMU node,IMU节点通过IMU map与数据记录更新对应。如果事务中有多条记录被修改,则IMU pool中就生产多个IMU nodes,而buffer中的undo block不会发生任何变化。当发生IMU commit或IMU flush时,才会通过IMU map将这些IMU node记录的undo信息写入undo buffer block中。并且,所有这些redo信息会和commit vector一起作为一个Redo条目写入Redo log中。整个过程中UNDO所产生的redo信息则大大减少。

  隐含参数_in_memory_undo用于控制IMU特性的开关,可以在会话/系统级立即生效,默认为true。另外一个隐含参数_IMU_pools则控制IMU pool的数量,默认为3。此外,目前IMU的使用还存在一些限制,如undo管理方式(undo_management)必须为auto,在RAC中无效,

--建立测试表、数据

  HELLODBA.COM
>create table ttt (a number, b varchar2(20));

  
Table created.

  HELLODBA.COM
>begin

  
2 for i in 1..2000 loop

  
3 insert into ttt values (i, ''||i);

  
4 end loop;

  
5 commit;

  
6 end;

  
7 /

  PL
/SQL procedure successfully completed.

  HELLODBA.COM
>select a

  
2 from (select a, dbms_rowid.rowid_block_number(ROWID) block_id, lag(dbms_rowid.rowid_block_number(ROWID)) over (order by rowid) as pre_block_id from ttt)

  
3 where block_id != pre_block_id;

  A

  
----------

  
1124

  
1643

  
1

  IMU Commit

  让我们看下IMU commit与传统事务commit时产生的redo size的变化。首先看传统模式下,

 HELLODBA.COM>conn demo/demo@ora11

  Connected.

  HELLODBA.COM
>alter session set "_in_memory_undo"=false;

  Session altered.

  HELLODBA.COM
>update ttt set b='X' where a=1124;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# and b.name in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
4

  redo size
1600

  IMU commits
0

  HELLODBA.COM
>update ttt set b='Y' where a=1643;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# and b.name in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
5

  redo size
1960

  IMU commits
0

  HELLODBA.COM
>update ttt set b='Z' where a=1;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# and b.name in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
6

  redo size
2320

  IMU commits
0

  HELLODBA.COM
>commit;

  
Commit complete.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# and b.name in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
7

  redo size
2416

  IMU commits
0

  可以看到,每一条数据被update都产生一条redo 条目。

  然后,我们激活IMU,再重复上述事务过程, 

HELLODBA.COM>conn demo/demo@ora11

  Connected.

  HELLODBA.COM
>alter session set "_in_memory_undo"=true;

  Session altered.

  HELLODBA.COM
>update ttt set b='X' where a=1124;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
3

  redo size
1084

  IMU commits
0

  HELLODBA.COM
>update ttt set b='Y' where a=1643;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
3

  redo size
1084

  IMU commits
0

  HELLODBA.COM
>update ttt set b='Z' where a=1;

  
1 row updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
3

  redo size
1084

  IMU commits
0

  HELLODBA.COM
>commit;

  
Commit complete.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
4

  redo size
2176

  IMU commits
1

  可见redo数量并没有随着数据的更新而增加,而是在IMU commit时增加。而当1条DML语句更新多条记录时,也可以使用到IMU:

 HELLODBA.COM>conn demo/demo@ora11

  Connected.

  HELLODBA.COM
>alter session set "_in_memory_undo"=true;

  Session altered.

  HELLODBA.COM
>update ttt set b='X' where a in (1643, 1124, 1);

  
3 rows updated.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
3

  redo size
1084

  IMU commits
0

  HELLODBA.COM
>commit;

  
Commit complete.

  HELLODBA.COM
>select b.name, a.value from v$mystat a, v$statname b where a.statistic#=b.statistic# an

  d b.name
in ('redo entries', 'redo size', 'IMU commits');

  NAME VALUE

  
---------------------------------------------------------------- ----------

  redo entries
4

  redo size
2344

  IMU commits
1

  从上面的例子中你也许注意到了,尽管UPDATE过程中redo size没有变化,但是,在IMU commit时,redo size的变化却很大,比传统模式下的commit产生的redo大许多。这是因为在IMU commit中,不仅仅包含了commit vector,还包含了commit之前数据变化,并且这些redo数据的写入是一次批量写入。我们可以将这个redo条目dump出来观察其内容:

 HELLODBA.COM>conn demo/demo@ora11

  Connected.

  HELLODBA.COM
>set serveroutput on

  HELLODBA.COM
>var v_bt number;

  HELLODBA.COM
>var v_et number;

  HELLODBA.COM
>alter session set "_in_memory_undo"=false;

  Session altered.

  HELLODBA.COM
>update tt set x=1 where rownum <= 1;

  
1 row updated.

  HELLODBA.COM
>update tt set x=2 where rownum <= 1;

  
1 row updated.

  HELLODBA.COM
>update tt set x=3 where rownum <= 1;

  
1 row updated.

  HELLODBA.COM
>begin

  
2 select current_scn into :v_bt from v$database;

  
3 dbms_output.put_line(''||:v_bt);

  
4 end;

  
5 /

  
6328064

  PL
/SQL procedure successfully completed.

  HELLODBA.COM
>commit;

  
Commit complete.

  HELLODBA.COM
>begin

  
2 select current_scn into :v_et from v$database;

  
3 dbms_output.put_line(''||:v_et);

  
4 end;

  
5 /

  
6328067

  PL
/SQL procedure successfully completed.

  HELLODBA.COM
>declare

  
2 v_log varchar2(2000);

  
3 v_sql varchar2(4000);

  
4 begin

  
5 select a.member into v_log from v$logfile a, v$log b where a.group#=b.group# and b.status='CUR

  RENT
' and rownum <= 1;

  
6 execute immediate 'alter system switch logfile';

  
7 v_sql := 'alter system dump logfile '''||v_log||''' SCN MIN '||:v_bt||' SCN MAX '||:v_et;

  
8 execute immediate v_sql;

  
9 end;

  
10 /

  PL
/SQL procedure successfully completed.

  可以看到,在trace日志中,这一redo条目包含了多个change:

 REDO RECORD - Thread:1 RBA: 0x0000c8.00000f39.0010 LEN: 0x046c VLD: 0x0d

  SCN:
0x0000.00608ed4 SUBSCN: 1 11/16/2009 14:59:10

  CHANGE #
1 TYP:2 CLS: 1 AFN:4 DBA:0x010016cf OBJ:74952 SCN:0x0000.00602dc7 SEQ: 4 OP:11.19

  KTB Redo

  ...

  CHANGE #
2 TYP:0 CLS:17 AFN:3 DBA:0x00c00009 OBJ:4294967295 SCN:0x0000.00608e9b SEQ: 2 OP:5.2

  ...

  CHANGE #
8 TYP:0 CLS:18 AFN:3 DBA:0x00c006f7 OBJ:4294967295 SCN:0x0000.00608ed4 SEQ: 2 OP:5.1

  ...
0
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