oracle基线与优化(三)

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oracle基线与优化(三)

来源: 作者: 时间:2016-01-20 09:41 【

oracle 基线与优化:生产库sts获取:BEGIN dbms_sqltune create_sqlset(sqlset_name = 39;SPS5 39;, sqlset_owner = 39;SYS 39;);END;begin DBMS_SCHEDULER CREATE_JOB(job_name

oracle 基线与优化:

生产库sts获取:

 

BEGIN
  dbms_sqltune.create_sqlset(sqlset_name => 'SPS5', sqlset_owner => 'SYS');
END;
begin
  DBMS_SCHEDULER.CREATE_JOB(job_name   => 'SPS5',
                            job_type   => 'PLSQL_BLOCK',
                            job_action => 'DECLARE bf VARCHAR2(98); 
                                           BEGIN
                                              <span style="color:#ff6666;"> bf := q''#UPPER(PARSING_SCHEMA_NAME) = ''SYS'' AND UPPER(SQL_TEXT) = ''SELECT COUNT(*) FROM SYS.SPS_TEST'' #'</span>'; 
                                               dbms_sqltune.capture_cursor_cache_sqlset( sqlset_name=>''SPS5'', 
                                                                                         time_limit=>''120'', 
                                                                                         repeat_interval=>''5'', 
                                                                                         basic_filter=>bf, 
                                                                                         sqlset_owner=>''SYS'');
                                           END;',
                            enabled    => TRUE);
end;

 

生产库sts信息查询:

select name,statement_count from dba_sqlset;
导出前准备:(帮助理解)
BEGIN
  DBMS_SQLTUNE.CREATE_STGTAB_SQLSET('PACK_SQLSET', 'SYSTEM');
END;
BEGIN
  DBMS_SQLTUNE.PACK_STGTAB_SQLSET('SP52', 'SYS', 'PACK_SQLSET', 'SYSTEM');
END;
SELECT * FROM SYSTEM.PACK_SQLSET
导出并传输到测试库:

执行:

 

begin
   DBMS_SQLTUNE.UNPACK_STGTAB_SQLSET('SPS5','SYS',TRUE,'PACK_SQLSET','SYSTEM');
end; 

 

测试库上执行语句:

 

alter system flush buffer_cache;
alter system flush shared_pool;
select count(*) from SYS.SPS_TEST;
SELECT COUNT(*) FROM SYS.SPS_TEST
创建执行SQL分析
declare
  sts_task varchar2(64);
begin
  sts_task := dbms_sqlpa.create_analysis_task(task_name   => 'SPS5',
                                              description => 'experiment11gR2 execute',
                                              sqlset_name => 'SPS5');
end;
执行分析:
declare
  exe_task varchar2(64);
begin
  exe_task := dbms_sqlpa.execute_analysis_task(task_name      => 'SPS5',
                                               execution_name => 'SPS51',
                                               execution_type => 'CONVERT SQLSET', <span style="color:#3333ff;"> --sts获取</span>
                                               execution_desc => '11g sql trail');
end;

declare
  exe_task varchar2(64);
begin
  exe_task := dbms_sqlpa.execute_analysis_task(task_name      => 'SPS5',
                                               execution_name => 'SPS52',
                                               execution_type => 'TEST EXECUTE',
                                               execution_desc => '11g sql trail2');
end;

比较

 

 

begin
  DBMS_SQLPA.EXECUTE_ANALYSIS_TASK(task_name        => 'SPS5',
                                   execution_type   => 'COMPARE PERFORMANCE',
                                   execution_name   => 'Compare_elapsed_time2',
                                   execution_params => dbms_advisor.arglist('execution_name1',
                                                                            'SPS51',
                                                                            'execution_name2',
                                                                            'SPS52',
                                                                            'comparison_metric',
                                                                            'elapsed_time'));
end;

查看结果:
select xmltype(dbms_sqlpa.report_analysis_task('SPS5', '', 'typical', 'all', null, 100, 'Compare_elapsed_time')).getclobval(0, 0)
from dual;


 

General Information



Task Information:
Workload Information:
Task Name : SPS5
Task Owner : SYS
Description :
SQL Tuning Set Name : SPS5
SQL Tuning Set Owner : SYS
Total SQL Statement Count : 2

Execution Information:
Execution Name : Compare_elapsed_time
Execution Type : COMPARE PERFORMANCE
Description :
Scope : COMPREHENSIVE
Status : COMPLETED
Started : 12/28/2014 17:30:05
Last Updated : 12/28/2014 17:30:05
Global Time Limit : UNLIMITED
Per-SQL Time Limit : UNUSED
Number of Errors : 0

Analysis Information:
Before Change Execution:
After Change Execution:
Execution Name : SPS51
Execution Type : CONVERT SQLSET
Scope : COMPREHENSIVE
Status : COMPLETED
Started : 12/28/2014 17:24:52
Last Updated : 12/28/2014 17:24:52
Global Time Limit : UNLIMITED
Per-SQL Time Limit : UNLIMITED
Execution Name : SPS52
Execution Type : TEST EXECUTE
Scope : COMPREHENSIVE
Status : COMPLETED
Started : 12/28/2014 17:27:32
Last Updated : 12/28/2014 17:27:33
Global Time Limit : UNLIMITED
Per-SQL Time Limit : 60
Number of Errors : 0

Comparison Metric:ELAPSED_TIME
Workload Impact Threshold:1%
SQL Impact Threshold:1%

Report Summary

Projected Workload Change Impact:
Overall Impact : 99.5%
Improvement Impact : 99.5%
Regression Impact : 0%

SQL Statement Count
SQL Category SQL Count Plan Change Count
Overall 2 0
Improved 2 0

Top 2 SQL Sorted by Absolute Value of Change Impact on the Workload

object_id

sql_id
Impact on
Workload
Execution
Frequency
Metric
Before
Metric
After
Impact
on SQL
Plan
Change
6 ff9p4xt2sqhd4 77.3% 63 10253.7301587302 56 99.45% n
5 ah0402tq401hh 22.2% 17 10892.1764705882 38 99.65% n



Report Details

SQL Details:
Object ID : 6
Schema Name : SYS
SQL ID : ff9p4xt2sqhd4
Execution Frequency : 63
SQL Text : select count(*) from SYS.SPS_TEST

Execution Statistics:

Stat Name
Impact on
Workload
Value
Before
Value
After
Impact
on SQL
elapsed_time 77.3% .010254 .000056 99.45%
parse_time     .000121  
cpu_time 76.6% .008914 0 100%
user_io_time     0  
buffer_gets 78.63% 2050 3 99.85%
cost 3138.71% 558 2 99.64%
reads 0% 0 0 0%
writes 0% 0 0 0%
io_interconnect_bytes     0  
rows   1 1  

Notes:

After Change:
该语句已首先执行以预热缓冲区高速缓存。显示的统计信息是后面的 9 执行的平均值。


Findings (1):
此 SQL 的性能得到了改善。


Execution Plan Before Change:
Plan Hash Value : 3930752761

Id Operation Name Rows Bytes Cost Time
0 SELECT STATEMENT       558  
1 . SORT AGGREGATE   1      
2 .. TABLE ACCESS FULL SPS_TEST 143778   558 00:00:07

Execution Plan After Change:
Plan Id : 202
Plan Hash Value : 3930752761

Id Operation Name Rows Bytes Cost Time
0 SELECT STATEMENT   1   2 00:00:01
1 . SORT AGGREGATE   1      
2 .. TABLE ACCESS FULL SPS_TEST 1   2 00:00:01


SQL Details:
Object ID : 5
Schema Name : SYS
SQL ID : ah0402tq401hh
Execution Frequency : 17
SQL Text : SELECT COUNT(*) FROM SYS.SPS_TEST

Execution Statistics:

Stat Name
Impact on
Workload
Value
Before
Value
After
Impact
on SQL
elapsed_time 22.2% .010892 .000038 99.65%
parse_time     .000125  
cpu_time 23.4% .010094 0 100%
user_io_time     0  
buffer_gets 21.22% 2050 3 99.85%
cost 846.95% 558 2 99.64%
reads 0% 0 0 0%
writes 0% 0 0 0%
io_interconnect_bytes     0  
rows   1 1  

Notes:

After Change:
该语句已首先执行以预热缓冲区高速缓存。显示的统计信息是后面的 9 执行的平均值。


Findings (1):
此 SQL 的性能得到了改善。


Execution Plan Before Change:
Plan Hash Value : 3930752761

Id Operation Name Rows Bytes Cost Time
0 SELECT STATEMENT       558  
1 . SORT AGGREGATE   1      
2 .. TABLE ACCESS FULL SPS_TEST 143778   558 00:00:07

Execution Plan After Change:
Plan Id : 201
Plan Hash Value : 3930752761

 

Id Operation Name Rows Bytes Cost Time
0 SELECT STATEMENT   1   2 00:00:01
1 . SORT AGGREGATE   1      
2 .. TABLE ACCESS FULL SPS_TEST 1   2 00:00:01

 

其他:

 

--比较CPU_TIME
begin
  dbms_sqlpa.execute_analysis_task(task_name        => '11gsps2',
                                   execution_name   => 'comparecpu',
                                   execution_type   => 'COMPARE PERFORMANCE',
                                   execution_params => dbms_advisor.arglist('COMPARISON_METRIC',
                                                                             'CPU_TIME',
                                                                             'EXECUTION_NAME1',
                                                                             '11g_trail',
                                                                             'EXECUTION_NAME2',
                                                                             '11g_trail2'),
                                   execution_desc   => 'Compare 10g SQL Trace Performance to 11g Test-Execute for CPU_TIME');
end;
/

--比较BUFFER_GETS
begin
  dbms_sqlpa.execute_analysis_task(task_name        => '11gsps2',
                                   execution_name   => 'comparbuffergets',
                                   execution_type   => 'COMPARE PERFORMANCE',
                                   execution_params => dbms_advisor.arglist('COMPARISON_METRIC',
                                                                             'BUFFER_GETS',
                                                                             'EXECUTION_NAME1',
                                                                             '11g_trail',
                                                                             'EXECUTION_NAME2',
                                                                             '11g_trail2'),
                                   execution_desc   => 'Compare 10g SQL Trace Performance to 11g Test-Execute for BUFFER_GETS');
end;

--比较实际执行时长 

begin
  DBMS_SQLPA.EXECUTE_ANALYSIS_TASK(task_name        => '11gsps2',
                                   execution_type   => 'COMPARE PERFORMANCE',
                                   execution_name   => 'Compare_elapsed_time',
                                   execution_params => dbms_advisor.arglist('execution_name1',
                                                                            '11g_trail',
                                                                            'execution_name2',
                                                                            '11g_trail2',
                                                                            'comparison_metric',
                                                                            'elapsed_time'));
end;
/
--比较物理读
begin
  DBMS_SQLPA.EXECUTE_ANALYSIS_TASK(task_name        => '11gsps2',
                                   execution_type   => 'COMPARE PERFORMANCE',
                                   execution_name   => 'Compare_physical_reads0',
                                   execution_params => dbms_advisor.arglist('execution_name1',
                                                                            '11g_trail',
                                                                            'execution_name2',
                                                                            '11g_trail2',
                                                                            'comparison_metric',
                                                                            'disk_reads'));
end;
/

set long 100000 longchunksize 100000 linesize 200 head off feedback off echo off 
spool spa_report_elapsed_time.html 
SELECT dbms_sqlpa.report_analysis_task('SPA_TEST', 'HTML', 'ALL','ALL', execution_name=>'Compare_elapsed_time') FROM dual; 
spool off


 


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