1.创建表htbk.performance用于收集信息
create table htbk.performance as
select max(end_time) time,
snap_id,
sysdate insertdate,
trunc(sum(case metric_name when ‘Host CPU Utilization (%)’ then average end),2) Host_CPU_util,
trunc(sum(case metric_name when ‘Current OS Load’ then average end),2) OS_LOAD,
trunc(sum(case metric_name when ‘Session Count’ then average end),2) sessions,
trunc(sum(case metric_name when ‘Database Time Per Sec’ then average end),2) Database_Time_Per_Sec,
trunc(sum(case metric_name when ‘User Transaction Per Sec’ then average end),2) User_Txn_Per_Sec,
trunc(sum(case metric_name when ‘Executions Per Sec’ then average end),2) Executions_ptx,
trunc(sum(case metric_name when ‘Response Time Per Txn’ then average end),2) Response_Time_ptx,
trunc(sum(case metric_name when ‘Redo Generated Per Sec’ then average end)/1024/1024,2) Redo_MBps,
trunc(sum(case metric_name when ‘Redo Writes Per Sec’ then average end),2) PhyWts_redo_IOPS,
trunc(sum(case metric_name when ‘Physical Read Total IO Requests Per Sec’ then average end),2) PhyRead_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total IO Requests Per Sec’ then average end),2) Phywrite_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total Bytes Per Sec’ then average end)/1024/1024,2) Phywrite_Tot_MBps,
trunc(sum(case metric_name when ‘Physical Read Total Bytes Per Sec’ then average end)/1024/1024,2) PhyRead_Tot_MBps,
trunc(sum(case metric_name when ‘Logons Per Sec’ then average end),2) Logons_PS,
trunc(sum(case metric_name when ‘User Commits Per Sec’ then average end),2) User_Commit_Per_Sec,
trunc(sum(case metric_name when ‘User Rollbacks Per Sec’ then average end),2) User_Rollback_Per_Sec,
trunc(sum(case metric_name when ‘Logical Reads Per Txn’ then average end),2) Logical_Rds_PTxn,
trunc(sum(case metric_name when ‘Hard Parse Count Per Sec’ then average end),2) HardParse_Per_Sec,
trunc(sum(case metric_name when ‘Network Traffic Volume Per Sec’ then average end/1024/1024),2) Network_Mbps,
trunc(sum(case metric_name when ‘Enqueue Waits Per Sec’ then average end),2) Enq_wait_Per_Sec,
trunc(sum(case metric_name when ‘DB Block Changes Per Sec’ then average end),2) BLOCK_CHG_Per_Sec,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits_ps,
trunc(sum(case metric_name when ‘Process Limit %’ then average end),2) Process_Limit,
trunc(sum(case metric_name when ‘Session Limit %’ then average end),2) Session_Limit,
trunc(sum(case metric_name when ‘Shared Pool Free %’ then average end),2) Shared_Pool_Free_PCT,
trunc(sum(case metric_name when ‘Buffer Cache Hit Ratio’ then average end),2) Buffer_CACHE_HIT_RAT,
trunc(sum(case metric_name when ‘Memory Sorts Ratio’ then average end),2) Memory_Sorts_Ratio,
trunc(sum(case metric_name when ‘Redo Allocation Hit Ratio’ then average end),2) Redo_Allocation_Hit_Rat,
trunc(sum(case metric_name when ‘Library Cache Hit Ratio’ then average end),2) Library_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Soft Parse Ratio’ then average end),2) Soft_Parse_Rat,
trunc(sum(case metric_name when ‘Cursor Cache Hit Ratio’ then average end),2) Cursor_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits
from dba_hist_sysmetric_summary
group by snap_id
order by snap_id
–Database Time Per Sec对应的Database_Time值的单位是百分一秒/每秒
–select metric_name,metric_unit from dba_hist_sysmetric_summary where metric_name=‘Database Time Per Sec’
–Database Time Per Sec CentiSeconds Per Second
2.创建JOB每7天插入一次htbk.performance
grant select on dba_hist_sysmetric_summary to system
grant all on htbk.performance to system
declare
job number;
begin
sys.dbms_job.submit(job,‘htbk_performance;’,sysdate,‘sysdate+7’);
end;
CREATE OR REPLACE procedure SYSTEM.htbk_performance
as
begin
insert into htbk.performance
select * from (
select max(end_time) time,
snap_id,
sysdate insertdate,
trunc(sum(case metric_name when ‘Host CPU Utilization (%)’ then average end),2) Host_CPU_util,
trunc(sum(case metric_name when ‘Current OS Load’ then average end),2) OS_LOAD,
trunc(sum(case metric_name when ‘Session Count’ then average end),2) sessions,
trunc(sum(case metric_name when ‘Database Time Per Sec’ then average end),2) Database_Time_Per_Sec,
trunc(sum(case metric_name when ‘User Transaction Per Sec’ then average end),2) User_Txn_Per_Sec,
trunc(sum(case metric_name when ‘Executions Per Sec’ then average end),2) Executions_ptx,
trunc(sum(case metric_name when ‘Response Time Per Txn’ then average end),2) Response_Time_ptx,
trunc(sum(case metric_name when ‘Redo Generated Per Sec’ then average end)/1024/1024,2) Redo_MBps,
trunc(sum(case metric_name when ‘Redo Writes Per Sec’ then average end),2) PhyWts_redo_IOPS,
trunc(sum(case metric_name when ‘Physical Read Total IO Requests Per Sec’ then average end),2) PhyRead_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total IO Requests Per Sec’ then average end),2) Phywrite_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total Bytes Per Sec’ then average end)/1024/1024,2) Phywrite_Tot_MBps,
trunc(sum(case metric_name when ‘Physical Read Total Bytes Per Sec’ then average end)/1024/1024,2) PhyRead_Tot_MBps,
trunc(sum(case metric_name when ‘Logons Per Sec’ then average end),2) Logons_PS,
trunc(sum(case metric_name when ‘User Commits Per Sec’ then average end),2) User_Commit_Per_Sec,
trunc(sum(case metric_name when ‘User Rollbacks Per Sec’ then average end),2) User_Rollback_Per_Sec,
trunc(sum(case metric_name when ‘Logical Reads Per Txn’ then average end),2) Logical_Rds_PTxn,
trunc(sum(case metric_name when ‘Hard Parse Count Per Sec’ then average end),2) HardParse_Per_Sec,
trunc(sum(case metric_name when ‘Network Traffic Volume Per Sec’ then average end/1024/1024),2) Network_Mbps,
trunc(sum(case metric_name when ‘Enqueue Waits Per Sec’ then average end),2) Enq_wait_Per_Sec,
trunc(sum(case metric_name when ‘DB Block Changes Per Sec’ then average end),2) BLOCK_CHG_Per_Sec,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits_ps,
trunc(sum(case metric_name when ‘Process Limit %’ then average end),2) Process_Limit,
trunc(sum(case metric_name when ‘Session Limit %’ then average end),2) Session_Limit,
trunc(sum(case metric_name when ‘Shared Pool Free %’ then average end),2) Shared_Pool_Free_PCT,
trunc(sum(case metric_name when ‘Buffer Cache Hit Ratio’ then average end),2) Buffer_CACHE_HIT_RAT,
trunc(sum(case metric_name when ‘Memory Sorts Ratio’ then average end),2) Memory_Sorts_Ratio,
trunc(sum(case metric_name when ‘Redo Allocation Hit Ratio’ then average end),2) Redo_Allocation_Hit_Rat,
trunc(sum(case metric_name when ‘Library Cache Hit Ratio’ then average end),2) Library_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Soft Parse Ratio’ then average end),2) Soft_Parse_Rat,
trunc(sum(case metric_name when ‘Cursor Cache Hit Ratio’ then average end),2) Cursor_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits
from dba_hist_sysmetric_summary
group by snap_id
order by snap_id) where snap_id not in (select snap_id from htbk.performance);
commit;
end;
RAC的话使用如下
CREATE OR REPLACE procedure DBA_MONITOR.pro_performance
as
begin
insert into PERFORMANCE_DETAILS_RAC
select * from (
select max(end_time) time,
INSTANCE_NUMBER,
snap_id,
sysdate insertdate,
trunc(sum(case metric_name when ‘Host CPU Utilization (%)’ then average end),2) Host_CPU_util,
trunc(sum(case metric_name when ‘Current OS Load’ then average end),2) OS_LOAD,
trunc(sum(case metric_name when ‘Session Count’ then average end),2) sessions,
trunc(sum(case metric_name when ‘Database Time Per Sec’ then average end),2) Database_Time_per_sec,
trunc(sum(case metric_name when ‘User Transaction Per Sec’ then average end),2) User_Txn_Per_Sec,
trunc(sum(case metric_name when ‘Executions Per Sec’ then average end),2) Executions_ptx,
trunc(sum(case metric_name when ‘Response Time Per Txn’ then average end),2) Response_Time_ptx,
trunc(sum(case metric_name when ‘Redo Generated Per Sec’ then average end)/1024/1024,2) Redo_MBps,
trunc(sum(case metric_name when ‘Redo Writes Per Sec’ then average end),2) PhyWts_redo_IOPS,
trunc(sum(case metric_name when ‘Physical Read Total IO Requests Per Sec’ then average end),2) PhyRead_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total IO Requests Per Sec’ then average end),2) Phywrite_IOPS,
trunc(sum(case metric_name when ‘Physical Write Total Bytes Per Sec’ then average end)/1024/1024,2) Phywrite_Tot_MBps,
trunc(sum(case metric_name when ‘Physical Read Total Bytes Per Sec’ then average end)/1024/1024,2) PhyRead_Tot_MBps,
trunc(sum(case metric_name when ‘Logons Per Sec’ then average end),2) Logons_PS,
trunc(sum(case metric_name when ‘User Commits Per Sec’ then average end),2) User_Commit_Per_Sec,
trunc(sum(case metric_name when ‘User Rollbacks Per Sec’ then average end),2) User_Rollback_Per_Sec,
trunc(sum(case metric_name when ‘Logical Reads Per Txn’ then average end),2) Logical_Rds_PTxn,
trunc(sum(case metric_name when ‘Hard Parse Count Per Sec’ then average end),2) HardParse_Per_Sec,
trunc(sum(case metric_name when ‘Network Traffic Volume Per Sec’ then average end/1024/1024),2) Network_Mbps,
trunc(sum(case metric_name when ‘Enqueue Waits Per Sec’ then average end),2) Enq_wait_Per_Sec,
trunc(sum(case metric_name when ‘DB Block Changes Per Sec’ then average end),2) BLOCK_CHG_Per_Sec,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits_ps,
trunc(sum(case metric_name when ‘Process Limit %’ then average end),2) Process_Limit,
trunc(sum(case metric_name when ‘Session Limit %’ then average end),2) Session_Limit,
trunc(sum(case metric_name when ‘Shared Pool Free %’ then average end),2) Shared_Pool_Free_PCT,
trunc(sum(case metric_name when ‘Buffer Cache Hit Ratio’ then average end),2) Buffer_CACHE_HIT_RAT,
trunc(sum(case metric_name when ‘Memory Sorts Ratio’ then average end),2) Memory_Sorts_Ratio,
trunc(sum(case metric_name when ‘Redo Allocation Hit Ratio’ then average end),2) Redo_Allocation_Hit_Rat,
trunc(sum(case metric_name when ‘Library Cache Hit Ratio’ then average end),2) Library_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Soft Parse Ratio’ then average end),2) Soft_Parse_Rat,
trunc(sum(case metric_name when ‘Cursor Cache Hit Ratio’ then average end),2) Cursor_Cache_Hit_Rat,
trunc(sum(case metric_name when ‘Leaf Node Splits Per Sec’ then average end),2) Leaf_Node_Splits
from dba_hist_sysmetric_summary
group by INSTANCE_NUMBER,snap_id
order by snap_id) where snap_id not in (select snap_id from PERFORMANCE_DETAILS_RAC);
commit;
end;
最后对htbk.performance.snap_id创建主键
这样以后直接查询htbk.performance表就可以得出数据库的一些性能报表
select to_char(time,‘yyyy-mm-dd HH24:-mi’),snap_id,OS_LOAD,sessions,
database_time_per_sec,User_Txn_Per_Sec,
RESPONSE_TIME_PTX,PhyRead_IOPS+Phywrite_IOPS IOPS,Phywrite_Tot_MBps+PhyRead_Tot_MBps IO_MBPS
from htbk.performance order by 2
如上SQL查询结果为7列，以这7列为基准，以第一列为横轴，三列至七列为纵轴分别可以得到负载曲线图、session并发曲线图、dbtime曲线图、事务量曲线图、事务等待时间曲线图、IOPS曲线图、IO吞吐量曲线图