Oracle数据库提高命中率及相关优化(转)
    本文是关于Oracle数据库调试与优化方面的文章,主要介绍Oracle数据库中命中率相关的问题,包括不同的算法之间性能的比对。51CTO编辑向您推荐《Oracle数据库调试与性能优化》
关于Oracle中各个命中率的计算以及相关的调优
1)Library Cache的命中率:
.计算公式:Library Cache Hit Ratio = sum(pinhits) / sum(pins)
SQL>SELECT SUM(pinhits)/sum(pins)    
FROM V$LIBRARYCACHE; 
通常在98%以上,否则,需要要考虑加大共享池,绑定变量,修改cursor_sharing等参数。
2)计算共享池内存使用率:
SQL>SELECT (1 - ROUND(BYTES / (&TSP_IN_M * 1024 * 1024), 2)) * 100 || % 
FROM V$SGASTAT  
WHERE NAME = free memory AND POOL = shared pool; 
其中: &TSP_IN_M是你的总的共享池的SIZE(M)
共享池内存使用率,应该稳定在75%-90%间,太小浪费内存,太大则内存不足。
查询空闲的共享池内存:
SQL>SELECT * FROM V$SGASTAT  
WHERE NAME = free memory AND POOL = shared pool; 
3)db buffer cache命中率:
计算公式:Hit ratio = 1 - 
SQL>SELECT NAME, PHYSICAL_READS, DB_BLOCK_GETS, CONSISTENT_GETS,  
1 - (PHYSICAL_READS / (DB_BLOCK_GETS + CONSISTENT_GETS)) "Hit Ratio" 
FROM V$BUFFER_POOL_STATISTICS  
WHERE NAME=DEFAULT; 
通常应在90%以上,否则,需要调整,加大DB_CACHE_SIZE
另外一种计算命中率的方法(摘自ORACLE官方文档<<数据库性能优化>>):
命中率的计算公式为:
Hit Ratio = 1 - ((physical reads - physical reads direct - physical reads direct (lob)) / (db block gets + 
consistent gets - physical reads direct - physical reads direct (lob)) 
分别代入上一查询中的结果值,就得出了Buffer cache的命中率
SQL>SELECT NAME, VALUE  
FROM V$SYSSTAT  
WHERE NAME IN(session logical reads,  
physical reads,  
physical reads direct,  
physical reads direct (lob),  
db block gets, consistent gets); 
4)数据缓冲区命中率:
SQL> select value from v$sysstat where name =physical reads;  
SQL> select value from v$sysstat where name =physical reads direct;  
SQL> select value from v$sysstat where name =physical reads direct (lob);  
SQL> select value from v$sysstat where name =consistent gets;  
SQL> select value from v$sysstat where name = db block gets; 
这里命中率的计算应该是
令 x = physical reads direct + physical reads direct (lob)
命中率 =100 - ( physical reads - x) / (consistent gets + db block gets - x)*100
通常如果发现命中率低于90%,则应该调整应用可可以考虑是否增大数据缓冲区
5)共享池的命中率:
SQL> select sum(pinhits-reloads)/sum(pins)*100 "hit radio" from v$librarycache; 
假如共享池的命中率低于95%,就要考虑调整应用(通常是没使用bind var )或者增加内存
6)计算在内存中排序的比率:
SQL>SELECT * FROM v$sysstat t WHERE NAME=sorts (memory);—查询内存排序数  
SQL>SELECT * FROM v$sysstat t WHERE NAME=sorts (disk);—查询磁盘排序数  
--caculate sort in memory ratio  
SQL>SELECT round(&sort_in_memory/(&sort_in_memory+&sort_in_disk),4)*100||% FROM dual; 
此比率越大越好,太小整要考虑调整,加大PGA
7)PGA的命中率:
计算公式:BP x 100 / (BP + EBP)
BP: bytes processed
EBP: extra bytes read/written
SQL>SELECT * FROM V$PGASTAT  WHERE NAME=cache hit percentage; 
或者从OEM的图形界面中查看
我们可以查看一个视图以获取Oracle的建议值:
SQL>SELECT round(PGA_TARGET_FOR_ESTIMATE/1024/1024) target_mb,  
ESTD_PGA_CACHE_HIT_PERCENTAGE cache_hit_perc,  
ESTD_OVERALLOC_COUNT  
FROM V$PGA_TARGET_ADVICE;  
The output of this query might look like the following:  
TARGET_MB  CACHE_HIT_PERC  ESTD_OVERALLOC_COUNT  
----------           --------------        --------------------  
   63              23                   367  
  125            &nbs