Database/ORACLE

[스크랩] AWR vs. STATSPACK table 이름 (dba hist view, wrh$table, statstpack table 이름 정리)

99iberty 2015. 2. 23. 17:24

 

http://www.dba-oracle.com/oracle10g_tuning/t_awr_statspack_table_names.htm

 

AWR vs. STATSPACK

 

The first effective proactive time-series method for Oracle performance appeared in Oracle7 and used begin and end snapshots, using the utlbstat and utlestat utilities, and the data was stored inside temporary DBA-defined storage tables. Staring with Oracle8i and back-portable to Oracle8, Oracle Corporation codified the snapshot approach with the STATSPACK utility.

 

 

While many important time-series reports are now instantly created within Oracle10g Enterprise Manager the senior Oracle DBA may want to go beyond the recommendations of ADDM and the SQL Tuning Advisor. Complex time series analysis, such as hypothesis testing and correlation analysis, still require that custom queries be written against the wrh$ tables. Table 3.1 below shows the comparison of Oracle8i and Oracle9i STATSPACK tables to their AWR equivalents. Fortunately, many of the names of the wrh$ tables are identical to their stats$ equivalents making it easy to migrate STATSPACk scripts to AWR.

 

 

DBA HIST VIEW

WRH$TABLE

STATSPACK TABLE

dba_hist_event_summary

wrh$_bg_event_summary

stats$bg_event_summary

dba_hist_buffer_pool_statistics

wrh$_buffer_pool_statistics

stats$buffer_pool_statistics

dba_hist_filestatxs

wrh$_filestatxs

stats$filestatxs

dba_hist_latch

wrh$_latch

stats$latch

dba_hist_latch_children

wrh$_latch_children

stats$latch_children

dba_hist_librarycache

wrh$_librarycache

stats$librarycache

dba_hist_rowcache_summary

wrh$_rowcache_summary

stats$rowcache_summary

dba_hist_sgastat

wrh$_sgastat

stats$sgastat

dba_hist_sql_summary

wrh$_sql_summary

stats$sql_summary

dba_hist_sysstat

wrh$_sysstat

stats$sysstat

dba_hist_system_event

wrh$_system_event

stats$system_event

dba_hist_waitstat

wrh$_waitstat

stats$waitstat

 

Table 3.1: STATSPACK, DBA HIST and wrh$ equivalencies

 

 

It is fortunate for the seasoned DBA that the column definitions and contents of these tables are almost identical. This allows easy porting of the STATSPACK time-series scripts to be run against the wrh$ tables with a minimum of modification.

 

 

The reads_10g.sql script below gathers physical disk read counts, the phyrds column of dba_hist_filestatxs . It then joins this data into the dba_hist_snapshot view to get the begin_interval_time column.

 

 

reads_10g.sql

 

 

break on begin_interval_time skip 2

column phyrds format 999,999,999

column begin_interval_time format a25

select

begin_interval_time,

filename,

phyrds

from

dba_hist_filestatxs

natural join

dba_hist_snapshot;

 

 

When the reads.sql script is executed, a display of the running total of physical reads, organized by datafile is shown below. In this case, the AWR snapshots are collected every half-hour, and the DBA is free to adjust the snapshot collection interval depending on data needs.

 

 

SQL> @reads

 

 

BEGIN_INTERVAL_TIME FILENAME PHYRDS

 

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

 

24-FEB-04 11.00.32.000 PM E:\ORACLE\ORA92\FSDEV10G\SYSTEM01.DBF 164,700

 

E:\ORACLE\ORA92\FSDEV10G\UNDOTBS01.DBF 26,082

 

E:\ORACLE\ORA92\FSDEV10G\SYSAUX01.DBF 472,008

 

E:\ORACLE\ORA92\FSDEV10G\USERS01.DBF 1,794

 

E:\ORACLE\ORA92\FSDEV10G\T_FS_LSQ.ORA 2,123

 

 

 

24-FEB-04 11.30.18.296 PM E:\ORACLE\ORA92\FSDEV10G\SYSTEM01.DBF 167,809

 

E:\ORACLE\ORA92\FSDEV10G\UNDOTBS01.DBF 26,248

 

E:\ORACLE\ORA92\FSDEV10G\SYSAUX01.DBF 476,616

 

E:\ORACLE\ORA92\FSDEV10G\USERS01.DBF 1,795

 

E:\ORACLE\ORA92\FSDEV10G\T_FS_LSQ.ORA 2,244

 

SEE CODE DEPOT FOR FULL SCRIPTS

 

Starting from the reads_10g.sql script, a where clause criteria can easily be added to create a unique time-series exception report on specific data file or specific time periods.

 

 

Of course, with a few minor adjustments to this script, physical writes, read time, write time, single block reads, and a host of other neat metrics from the dba_hist_filestatxs view can also be displayed.

 

 

Now that general information has been presented on the AWR concept, the following section will provide details about the new AWR table contents.