-- AWR --相关的信息保存在sysaux表空间 --- 保存周期、设置保存和自动快照的设置 select * from dba_hist_wr_control; exec dbms_workload_repository.create_snapshot(); exec dbms_workload_repository.modify_baseline_window_size(8); exec dbms_workload_repository.modify_snapshot_settings(interval => 30, retention => 16*24*60, topnsql => 50); exec dbms_workload_repository.drop_snapshot_range(low_snap_id => 6770,high_snap_id => 6774,dbid => 7059638244); SQL> exec dbms_workload_repository.modify_snapshot_settings(retention => 15*1440, interval => 30, topnsql => 50); begin dbms_workload_repository.create_snapshot(); end; SELECT * FROM (SELECT * FROM DBA_HIST_SNAPSHOT ORDER BY SNAP_ID DESC) WHERE ROWNUM < 200; --awr report SELECT * FROM TABLE(dbms_workload_repository.awr_report_html( (SELECT dbid FROM v$database) , 1 -- RAC节点 , 26663 -- begin snap_id , 26664 -- end snap_id , 8 -- (0, 8) ADDM )); --sql report SELECT * FROM TABLE(dbms_workload_repository.awr_sql_report_html( (SELECT dbid FROM v$database) , 1 -- RAC节点 , 1059 -- begin snap_id , 1060 -- end snap_id , '2k4f8h4rqfkhd' , l_options => 8 )); -- ASH SELECT * FROM TABLE(dbms_workload_repository.ash_report_html( (SELECT dbid FROM v$database), 1, TO_DATE('2015-11-15 20:10:00', 'yyyy-mm-dd hh24:mi:ss'), -- begin datetime TO_DATE('2015-11-15 20:30:00', 'yyyy-mm-dd hh24:mi:ss') -- end )); --ADDM报告 select * from dba_advisor_tasks t order by t.created desc; set long 1000000 pagesize 0 longchunksize 1000 select dbms_advisor.get_task_report('ADDM:3620614489_1_25298', owner_name => 'SYS') from dual; ---创建优化任务并执行(生成ADDM报告内容)： DECLARE task_name VARCHAR2(30) := 'DEMO_ADDM02'; task_desc VARCHAR2(30) := 'ADDM Feature Test'; task_id NUMBER; BEGIN dbms_advisor.create_task('ADDM', task_id, task_name, task_desc, null); dbms_advisor.set_task_parameter(task_name, 'START_SNAPSHOT', 1954); dbms_advisor.set_task_parameter(task_name, 'END_SNAPSHOT', 1955); dbms_advisor.set_task_parameter(task_name, 'INSTANCE', 1); dbms_advisor.set_task_parameter(task_name, 'DB_ID', 1363777294); dbms_advisor.execute_task(task_name); END; -- 切换联机日志 alter system switch logfile; -- 查看日志切换频率 select * from v$log_history t order by t.SEQUENCE# desc; /* 查看某个脚本的Redo日志量 */ -- 日志模式 select t.LOG_MODE, t.FORCE_LOGGING, t.* from v$database t; select t.LOGGING, t.FORCE_LOGGING, t.* from dba_tablespaces t; select t.LOGGING, t.* from dba_tables t; -- Redo日志的产生量 select a.name, b.value from v$statname a, v$mystat b where a.statistic# = b.statistic# and lower(a.name) like '%redo size%' select * from v$active_session_history t where ROWNUM < 20; SELECT * FROM ( SELECT * FROM v$active_session_history t WHERE t.sql_id = 'xxxx' AND t.sample_time BETWEEN TO_DATE('2016-05-04 10:10:00', 'yyyy-mm-dd hh24:mi:ss') AND TO_DATE('2016-05-04 10:20:00', 'yyyy-mm-dd hh24:mi:ss') ORDER BY t.SAMPLE_TIME ) t WHERE ROWNUM < 20; select * from dba_hist_active_sess_history t where rownum < 20; SELECT * FROM ( SELECT * FROM dba_hist_active_sess_history t WHERE t.sample_time BETWEEN TO_DATE('2016-05-04 10:10:00', 'yyyy-mm-dd hh24:mi:ss') AND TO_DATE('2016-05-04 10:20:00', 'yyyy-mm-dd hh24:mi:ss') ORDER BY t.SAMPLE_TIME ) t WHERE ROWNUM < 20; /* ASH(V$ACTIVE_SESSION_HISTORY) 在内存中保存，每秒从v$session_wait中采样一次(等待会话每秒的快照) dba_hist_active_sess_history视图的数据来自于V$ACTIVE_SESSION_HISTORY。 dba_hist_active_sess_history视图的记录了内存中活动会话的历史信息，而动态性能视图V$ACTIVE_SESSION_HISTORY则记录了当前活动会话信息。 v$active_session_history 每秒钟将数据库Active Session采样一次，而dba_hist_active_sess_history则会将v$active_session_history里的数据每10秒采样一次并持久化保存。 通过dba_hist_active_sess_history视图关联v$sqlarea和DBA_HIST_SNAPSHOT可以跟踪到某个时间段内的sql。 当然能跟踪到的sql多少取决于v$sqlarea，毕竟只有还保留在v$sqlarea中的sql才能跟踪到。 另外，也可以根据以下历史视图，检索相应的数据。 dba_hist_sqlstat dba_hist_sqltext sys.wrh$_sqltext dba_hist_sql_plan sys.wrh$_sql_plan dba_hist_active_sess_history sys.wrh$_active_session_history */ select * from sys.wrh$_sqltext t where t.sql_id = ''; -- 执行计划，根据SQL_ID获取实际使用的执行计划 SELECT t.plan_hash_value, t.child_number, t.id, --LPAD (' ', DEPTH*2) || operation AS operation, --lpad('|--'||operation,length('|--' ||operation)+(DEPTH*5-5),' '), lpad(t.DEPTH || '|' || t.operation, length(t.DEPTH || '|' || t.operation) + (t.DEPTH*3), ' ') AS operation, t.options, --object_owner, t.object_name, t.optimizer, t.cost, t.access_predicates, t.filter_predicates, t.cardinality, t.cpu_cost, t.io_cost, round(t.bytes/1024/1024/1024) as data_gb, round(t.temp_space/1024/1024/1024) as TempSpace_gb, t.PARTITION_START, t.PARTITION_STOP, t.* FROM v$sql_plan t WHERE t.sql_id = '34cd4y8mbqvsk' ORDER BY t.plan_hash_value, t.child_number, t.id; -- 执行计划，根据SQL_ID获取实际使用的执行计划 SELECT t.plan_hash_value, t.id, --LPAD (' ', DEPTH*2) || operation AS operation, --lpad('|--'||operation,length('|--' ||operation)+(DEPTH*5-5),' '), lpad(t.DEPTH || '|' || t.operation, length(t.DEPTH || '|' || t.operation) + (t.DEPTH*3), ' ') AS operation, t.options, --object_owner, t.object_name, t.optimizer, t.cost, t.access_predicates, t.filter_predicates, t.cardinality, t.cpu_cost, t.io_cost, round(t.bytes/1024/1024/1024) as data_gb, round(t.temp_space/1024/1024/1024) as TempSpace_gb, t.PARTITION_START, t.PARTITION_STOP, t.* FROM dba_hist_sql_plan t WHERE t.sql_id = '34cd4y8mbqvsk' ORDER BY t.plan_hash_value, t.id; --按时间段查看Redo、逻辑读、物理读、SQL执行、解析及事务的统计数据 select s.snap_date, decode(s.redosize, null, '--shutdown or end--', s.currtime) "TIME", to_char(round(s.seconds/60,2)) "elapse(min)", round(t.db_time / 1000000 / 60, 2) "DB time(min)", s.redosize redo, round(s.redosize / s.seconds, 2) "redo/s", s.logicalreads logical, round(s.logicalreads / s.seconds, 2) "logical/s", physicalreads physical, round(s.physicalreads / s.seconds, 2) "phy/s", s.executes execs, round(s.executes / s.seconds, 2) "execs/s", s.parse, round(s.parse / s.seconds, 2) "parse/s", s.hardparse, round(s.hardparse / s.seconds, 2) "hardparse/s", s.transactions trans, round(s.transactions / s.seconds, 2) "trans/s" from (select curr_redo - last_redo redosize, curr_logicalreads - last_logicalreads logicalreads, curr_physicalreads - last_physicalreads physicalreads, curr_executes - last_executes executes, curr_parse - last_parse parse, curr_hardparse - last_hardparse hardparse, curr_transactions - last_transactions transactions, round(((currtime + 0) - (lasttime + 0)) * 3600 * 24, 0) seconds, to_char(currtime, 'yy/mm/dd') snap_date, to_char(currtime, 'hh24:mi') currtime, currsnap_id endsnap_id, to_char(startup_time, 'yyyy-mm-dd hh24:mi:ss') startup_time from (select a.redo last_redo, a.logicalreads last_logicalreads, a.physicalreads last_physicalreads, a.executes last_executes, a.parse last_parse, a.hardparse last_hardparse, a.transactions last_transactions, lead(a.redo, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_redo, lead(a.logicalreads, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_logicalreads, lead(a.physicalreads, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_physicalreads, lead(a.executes, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_executes, lead(a.parse, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_parse, lead(a.hardparse, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_hardparse, lead(a.transactions, 1, null) over(partition by b.startup_time order by b.end_interval_time) curr_transactions, b.end_interval_time lasttime, lead(b.end_interval_time, 1, null) over(partition by b.startup_time order by b.end_interval_time) currtime, lead(b.snap_id, 1, null) over(partition by b.startup_time order by b.end_interval_time) currsnap_id, b.startup_time from (select snap_id, dbid, instance_number, sum(decode(stat_name, 'redo size', value, 0)) redo, sum(decode(stat_name, 'session logical reads', value, 0)) logicalreads, sum(decode(stat_name, 'physical reads', value, 0)) physicalreads, sum(decode(stat_name, 'execute count', value, 0)) executes, sum(decode(stat_name, 'parse count (total)', value, 0)) parse, sum(decode(stat_name, 'parse count (hard)', value, 0)) hardparse, sum(decode(stat_name, 'user rollbacks', value, 'user commits', value, 0)) transactions from dba_hist_sysstat where stat_name in ('redo size', 'session logical reads', 'physical reads', 'execute count', 'user rollbacks', 'user commits', 'parse count (hard)', 'parse count (total)') group by snap_id, dbid, instance_number) a, dba_hist_snapshot b where a.snap_id = b.snap_id and a.dbid = b.dbid and a.instance_number = b.instance_number order by end_interval_time)) s, (select lead(a.value, 1, null) over(partition by b.startup_time order by b.end_interval_time) - a.value db_time, lead(b.snap_id, 1, null) over(partition by b.startup_time order by b.end_interval_time) endsnap_id from dba_hist_sys_time_model a, dba_hist_snapshot b where a.snap_id = b.snap_id and a.dbid = b.dbid and a.instance_number = b.instance_number and a.stat_name = 'DB time') t where s.endsnap_id = t.endsnap_id order by s.snap_date, time;
