研究发现，oracle数据库使用的索引不会超过总数的25%，或者不易他们期望被使用的方式使用。通过监控数据库索引的使用，释放那些未被使用的索引，从而节省维护索引的开销，优化性能。
1、在oracle8i中，确定使用了那个索引的方法意味着要对存在语共享SQL区中的所有语句运行EXPLIAN PALN，然后查询计划表中的OPERATION列，从而识别有OBJECT_OWNER和OBJECT_NAME列所确定的那个索引上的索引访问。
下面是一个监控索引使用的脚本，这个脚本仅仅是一个样品，在某种条件下成立：
条件：
运行这个脚本的用户拥有权限解释所有的v$sqlarea中的sql，除了不是被SYS装载的。
plan_table.remarks能够别用来决定与特权习惯的错误。
对所有的共享池中SQL，参数OPTIMIZER_GOAL是一个常量，无视v$sqlarea.optimizer_mode。
两次快照之间，统计资料被再次分析过。
没有语句别截断。
所有的对象都是局部的。
所有被引用的表或视图或者是被运行脚本的用户所拥有，或者完全有资格的名字或同义词被使用。
自从上次快照以来，没有不受"欢迎"的语句被冲洗出共享池(例如，在装载)。
对于所有的语句， v$sqlarea.version_count = 1 (children)。
脚本:
[code]set echo off
Rem Drop and recreate PLAN_TABLE for EXPLAIN PLAN
drop table plan_table;
create table PLAN_TABLE (
statement_id varchar2(30),
timestamp date,
remarks varchar2(80),
operation varchar2(30),
options varchar2(255),
object_node varchar2(128),
object_owner varchar2(30),
object_name varchar2(30),
object_instance numeric,
object_type varchar2(30),
optimizer varchar2(255),
search_columns number,
id numeric,
parent_id numeric,
position numeric,
cost numeric,
cardinality numeric,
bytes numeric,
other_tag varchar2(255),
partition_start varchar2(255),
partition_stop varchar2(255),
partition_id numeric,
other long,
distribution varchar2(30),
cpu_cost numeric,
io_cost numeric,
temp_space numeric,
access_predicates varchar2(4000),
filter_predicates varchar2(4000));
Rem Drop and recreate SQLTEMP for taking a snapshot of the SQLAREA
drop table sqltemp;
create table sqltemp (
ADDR VARCHAR2 (16),
SQL_TEXT VARCHAR2 (2000),
DISK_READS NUMBER,
EXECUTIONS NUMBER,
PARSE_CALLS NUMBER);
set echo on
Rem Create procedure to populate the plan_table by executing
Rem explain plan...for 'sqltext' dynamically
create or replace procedure do_explain (
addr IN varchar2, sqltext IN varchar2)
as dummy varchar2 (1100);
mycursor integer;
ret integer;
my_sqlerrm varchar2 (85);
begin dummy:='EXPLAIN PLAN SET STATEMENT_ID=' ;
dummy:=dummy||''''||addr||''''||' FOR '||sqltext;
mycursor := dbms_sql.open_cursor;
dbms_sql.parse(mycursor,dummy,dbms_sql.v7);
ret := dbms_sql.execute(mycursor);
dbms_sql.close_cursor(mycursor);
commit;
exception -- Insert errors into PLAN_TABLE...
when others then my_sqlerrm := substr(sqlerrm,1,80);
insert into plan_table(statement_id,remarks) values (addr,my_sqlerrm);
-- close cursor if exception raised on EXPLAIN PLAN
dbms_sql.close_cursor(mycursor);
end;
/
Rem Start EXPLAINing all S/I/U/D statements in the shared pool
declare
-- exclude statements with v$sqlarea.parsing_schema_id = 0 (SYS)
cursor c1 is select address, sql_text, DISK_READS, EXECUTIONS, PARSE_CALLS
from v$sqlarea
where command_type in (2,3,6,7)
and parsing_schema_id != 0;
cursor c2 is select addr, sql_text from sqltemp;
addr2 varchar(16);
sqltext v$sqlarea.sql_text%type;
dreads v$sqlarea.disk_reads%type;
execs v$sqlarea.executions%type;
pcalls v$sqlarea.parse_calls%type;
begin open c1;
fetch c1 into addr2,sqltext,dreads,execs,pcalls;
while (c1%found) loop
insert into sqltemp values(addr2,sqltext,dreads,execs,pcalls);
commit;
fetch c1 into addr2,sqltext,dreads,execs,pcalls;
end loop;
close c1;
open c2;
fetch c2 into addr2, sqltext;
while (c2%found) loop
do_explain(addr2,sqltext);
fetch c2 into addr2, sqltext;
end loop;
close c2;
end;
/
Rem Generate a report of index usage based on the number of times
Rem a SQL statement using that index was executed
select p.owner, p.name, sum(s.executions) totexec
from sqltemp s,
(select distinct statement_id stid, object_owner owner, object_name name
from plan_table where operation = 'INDEX') p
where s.addr = p.stid
group by p.owner, p.name
order by 2 desc;
Rem Perform cleanup on exit (optional)
delete from plan_table
where statement_id in
( select addr from sqltemp );
drop table sqltemp;[/code]
关于这个脚本，有几个重要的地方需要注意，即它可能一起明显的开销，因此，应该在仔细地进行 权衡后才把它应用到繁忙的生产应用系统中区。
yeliming 于 2006-09-16 20:41:40发表:
下面的PL/SQL块对数据库中的所有索引(SYS和SYSTEM拥有的索引除外)启用监控：
[code]declare
l_sql varchar2(128);
begin
for rec in
(select 'alter index '||owner.||'.'||index_name||' monitoring usage' mon
from dba_indexes
where owner not in ('SYS', 'SYSTEM')
and index_type='NORMAL') loop
l_sql:=rec.mon;
execute immediate l_sql;
end loop;
end;[/code]
下面我们来看一下Oracle 9i 这个新特性能不能识别在进行DML操作时外键列上索引的使用情况：
以9i中HR模式为例：
标准的dept和emp表是一个与外键关联的父子表的例子。这个例子主要想看一下，在父表上删除一个记录，会不会调用子表上外键上的索引。 首先监控HR模式下所有索引的使用，为了便于在主表上删除一条记录，不违反引用完整性约束。我们首先丢弃原有的约束，重新创建支持级联删除的约束.
[code]alter table employees add constraint emp_dept_fk foreign
key (department_id) references departments on delete cascade;
alter table job_history drop constraint jhist_emp_fk;
alter table job_history add constraint jhist_emp_fk foreign
key(employee_id) references employees on delete cascade;
delete from departments where department_id=10;[/code]
注意在此为了方便，我们删除部门id为10的记录。如果你删除其他的部门，可能你还要更改表job_history中相关的约束。
现在我们看看索引使用的情况：
[code]select index_name, table_name, monitoring, used
from v$object_usage
where used='YES'
INDEX_NAME TABLE_NAME MON USE
------------------------------ -------------------- --- ---
DEPT_ID_PK DEPARTMENTS YES YES
EMP_EMP_ID_PK EMPLOYEES YES YES
EMP_DEPT_FK EMPLOYEES YES YES[/code]
很明显删除父表上的记录，也利用了子表中相关的索引。
v$object_usage 视图的一个异常之处是， 它只能显示属于连接用户的索引的信息。Oracle可能在将来会解决这个问题。如果您的数据库只显示连接用户的对象使用信息，下面的视图(必须被创建为SYS)可用于提供来自任何帐户的所有被监控的索引的信息：
[code] create or replace view
V$ALL_OBJECT_USAGE(INDEX_NAME, TABLE_NAME, MONITORING, USED,
START_MONITORING, END_MONITORING) as
select io.name, t.name, decode(bitand(i.flags, 65536),0,'NO','YES'),
decode(bitand(ou.flags,1),0,'NO','YES'), ou.start_monitoring,
ou.end_monitoring
from sys.obj$ io, sys.obj$ t, sys.ind$ i, sys.object_usage ou
where i.obj#=ou.obj#
and io.obj#=ou.obj#
and t.obj#=i.bo#;
grant select on v$all_object_usage to public;
create public synonym v$all_object_usage for v$all_object_usage;[/code]
3、最后我们简单的说一下，如何监控最近被使用的索引
下列查询将列出最近被访问的索引：
[code] column owner format a20 trunc
column segment_name format a30 trunc
select distinct b.owner, b.segment_name
from x$bh a, dba_extents b
where b.file_id=a.dbafil
and a.dbablk between b.block_id and b.block_id+blocks-1
and segment_type='INDEX'
and b.owner not in ('SYS','SYSTEM');[/code]
这个过程可能要耗费一定时间，建议在数据库不太繁忙的时候运行。
yeliming 于 2006-09-16 20:39:58发表:
2、 oracle9i中如何确定索引的使用情况
在oracle9i中，情况会简单得多，因为有一个新得字典视图V$SQL_PLAN存储了实际计划，这些计划用于执行共享SQL区中得语句。V$SQL_PLAN视图很类似与计划表，但V$SQL_PLAN使用ADDRESS和HASH_VALUE列 来识别语句， 而计划表使用用户提供得STATEMENT_ID来识别语句。下面的SQL显示了在一个oracle9i数据库中，由出现在共享SQL区中语句使用的所有索引。
[code]select object_owner, object_name, options, count(*)
from v$sql_plan
where operation='INDEX'
and object_owner!='SYS'
group by object_owner, object_name, operation, options
order by count(*) desc;[/code]
所有基于共享SQL区中的信心来识别索引使用情况的方法， 都可能会收集到不完整的信息。共享SQL区是一 个动态结构，除非能对它进行足够频繁的采样， 否则在有关索引使用的情况的信息被收集之前，SQL语句可 能就已经(因为老化)被移出缓存了。oracle9i提供了解决这个问题的方案，即它为alter index提供了一个monitoring usage子句。当启用monitoring usage 时，oralce记录简单的yes或no值，以指出在监控间隔 期间某个索引是否被使用。
为了演示这个新特性，你可以使用下面的例子:
[code](a) Create and populate a small test table
(b) Create Primary Key index on that table
(c) Query v$object_usage: the monitoring has not started yet
(d) Start monitoring of the index usage
(e) Query v$object_usage to see the monitoring in progress
(f) Issue the SELECT statement which uses the index
(g) Query v$object_usage again to see that the index has been used
(h) Stop monitoring of the index usage
(i) Query v$object_usage to see that the monitoring sDetailed steps:
(a) Create and populate a small test table
create table products (
prod_id number(3),
prod_name_code varchar2(5));
insert into products values(1,'aaaaa');
insert into products values(2,'bbbbb');
insert into products values(3,'ccccc');
insert into products values(4,'ddddd');
commit;
(b) Create Primary Key index on that table
alter table products add (constraint products_pk primary key (prod_id));
(c) Query v$object_usage: the monitoring has not started yet
column index_name format a12
column monitoring format a10
column used format a4
column start_monitoring format a19
column end_monitoring format a19
select index_name,monitoring,used,start_monitoring,end_monitoring
from v$object_usage;
no rows selected
(d) Start monitoring of the index usage
alter index products_pk monitoring usage;
Index altered.
(e) Query v$object_usage to see the monitoring in progress
select index_name,monitoring,used,start_monitoring,end_monitoring
from v$object_usage;
INDEX_NAME MONITORING USED START_MONITORING END_MONITORING
---------------------------------------------------------------
PRODUCTS_PK YES NO 04/25/2001 15:43:13
Note: Column MONITORING='YES', START_MONITORING gives the timestamp.
(f) Issue the SELECT statement which uses the index First, make sure that index will
be used for this statement. Create plan_table in your schema, as required by Oracle
Autotrace utility:
@$ORACLE_HOME/rdbms/admin/utlxplan
Table created.
Use Oracle Autotrace utility to obtain the execution plan:
set autotrace on explain
select * from products where prod_id = 2;
Execution Plan
------------------------------------------------------
0 SELECT STATEMENT Optimizer=CHOOSE
1 0 TABLE ACCESS (BY INDEX ROWID) OF 'PRODUCTS'
2 1 INDEX (UNIQUE SCAN) OF 'PRODUCTS_PK' (UNIQUE)
set autotrace off Now, since you know the index will be used for this query,
issue the actual SELECT statement:
select * from products where prod_id = 2;
PROD_ID PROD_
---------- -----
2 bbbbb
(g) Query v$object_usage again to see that the index has been used
select index_name,monitoring,used,start_monitoring,end_monitoring
from v$object_usage;
INDEX_NAME MONITORING USED START_MONITORING END_MONITORING
------------ ---------- ---- ------------------- ---- ------------
PRODUCTS_PK YES YES 04/25/2001 15:43:13
Note: Column USED='YES'.
(h) Stop monitoring of the index usage
alter index products_pk nomonitoring usage;
Index altered.
(i) Query v$object_usage to see that the monitoring stopped
select index_name,monitoring,used,start_monitoring,end_monitoring
from v$object_usage;
INDEX_NAME MONITORING USED START_MONITORING END_MONITORING
------------ ---------- ---- ------------------- -------------------
PRODUCTS_PK NO YES 04/25/2001 15:43:13 04/25/2001 15:48:44
Note: Column MONITORING='NO', END_MONITORING gives the timestamp.[/code]