The wrh$ AWR tables store important historical statistical
information about the database in the form of periodic snapshots. Each snapshot
is a capture of the in–memory x$ fixed view and other control
structures at a certain point in time. Each of the AWR table names is prefixed
with wrm$
(Metadata tables), wrh$
(History tables), or wri$ (Advisory tables).
§
The wrm$
tables store metadata information for the Workload Repository.
§
The wrh$
tables store historical data or snapshots.
§
The wri$
tables: These 49 tables store data related to advisory functions.
The List of Oracle10g WRH$ wait event table
wrh$_active_session_history
wrh$_active_session_history_bl
wrh$_bg_event_summary
wrh$_event_name
wrh$_metric_name
wrh$_sessmetric_history
wrh$_sys_time_model
wrh$_sys_time_model_bl
wrh$_sysmetric_history
wrh$_sysmetric_summary
wrh$_sysstat
wrh$_sysstat_bl
wrh$_system_event
wrh$_system_event_bl
wrh$_waitclassmetric_history
wrh$_waitstat
wrh$_waitstat_bl
The Oracle10g dba_hist views that are used to create time-series
performance reports We
will begin with an overview of the dba_hist views.
Oracle10g
performance exception reports that can be easily generated from these views
with SQL*Plus
The default collection retention for AWR data is only seven
days. By using the new dbms package called
dbms_workload_repository.modify_snapshot_settings., many Oracle DBAs will
increase the storage of detail information over longer time periods. This will
change the retention period and collection frequency, providing you with longer
timer periods of data:
execute dbms_workload_repository.modify_snapshot_settings(
interval => 60,
retention =>
43200);
As you see, the retention period is indicated as 30 days
(43200 min) while the interval between each snapshot is 60 min. You will see
changes to these settings if you query the dba_hist_wr_control view after this
procedure is executed.
The creation of AWR and ASH provides a complete repository
for diagnosing and fixing any Oracle performance issue. The AWR provides the
foundation for sophisticated performance analysis including exception
reporting, trend analysis, correlation analysis, hypothesis testing and data
mining.
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