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.
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