-- for each database in the repository, get the logons and average active sessions for the past month -- summate these per database as well in case of rac databases --- -- run this as sysman user on the OEM repository database -- tested with 12c R1 BP1 set linesize 300 set pages 50000 set tab off set echo off column db_name format a40 heading "Database" column rollup_timestamp_s format a10 heading "Day" column inst_name format a45 heading "Instance" column inst_logons format 9G999G999 column db_logons format 999G999G999 column inst_avg_active_sess format 9G999G990D99 column db_avg_active_sess format 999G999G990D99 break on db_name skip page on rollup_timestamp_s select db_name, to_char(rollup_timestamp, 'DD/MM/YYYY') rollup_timestamp_s, inst_name, inst_logons, inst_avg_active_sess, sum(inst_logons) over ( partition by db_name, rollup_timestamp ) db_logons, sum(inst_avg_active_sess) over ( partition by db_name, rollup_timestamp ) db_avg_active_sess from ( select db_name, rollup_timestamp, inst_name, inst_logons, inst_avg_active_sess from ( select nvl(rac.composite_target_name, met.target_name) db_name, met.target_name inst_name, met.rollup_timestamp, met.metric_column, met.maximum from mgmt$metric_daily met, mgmt$rac_memberships rac where met.target_guid = rac.member_target_guid (+) and ( ( met.metric_name = 'Database_Resource_Usage' and met.metric_column = 'logons' ) or ( met.metric_name = 'instance_throughput' and met.metric_column = 'avg_active_sessions' ) ) and met.target_type = 'oracle_database' and rollup_timestamp >= add_months(trunc(sysdate), - 1) ) pivot ( max(maximum) for metric_column in ('logons' as inst_logons, 'avg_active_sessions' as inst_avg_active_sess)) ) order by db_name, rollup_timestamp, inst_name ; clear breaks