Oracle 性能相关常用脚本（SQL）

Oracle 性能相关常用脚本（SQL）

　在缺乏的可视化工具来监控 数据库性能的情形下，常用的脚本就派上用场了，下面提供几个关于 Oracle性能相关的脚本供大家参考。以下脚本均在Oracle 10g测试通过，Oracle 11g可能要做相应调整。

　　1、寻找最多BUFFER_GETS开销的SQL语句

--filename: top_sql_by_buffer_gets.sql --Identify heavy SQL (Get the SQL with heavy BUFFER_GETS) SET LINESIZE 190 COL sql_text FORMAT a100 WRAP SET PAGESIZE 100 SELECT *   FROM (  SELECT sql_text,                  sql_id,                  executions,                  disk_reads,                  buffer_gets             FROM v$sqlarea            WHERE DECODE (executions, 0, buffer_gets, buffer_gets / executions) >                     (SELECT AVG (DECODE (executions, 0, buffer_gets, buffer_gets / executions))                             + STDDEV (DECODE (executions, 0, buffer_gets, buffer_gets / executions))                        FROM v$sqlarea)                  AND parsing_user_id != 3D         ORDER BY 4 DESC) x  WHERE ROWNUM <= 10;

　　2、寻找最多DISK_READS开销的SQL语句

--filename:top_sql_disk_reads.sql --Identify heavy SQL (Get the SQL with heavy DISK_READS) SET LINESIZE 190 COL sql_text FORMAT a100 WRAP SET PAGESIZE 100 SELECT *   FROM (  SELECT sql_text,                  sql_id,                  executions,                  disk_reads,                  buffer_gets             FROM v$sqlarea            WHERE DECODE (executions, 0, disk_reads, disk_reads / executions) >                     (SELECT AVG (DECODE (executions, 0, disk_reads, disk_reads / executions))                             + STDDEV (DECODE (executions, 0, disk_reads, disk_reads / executions))                        FROM v$sqlarea)                  AND parsing_user_id != 3D         ORDER BY 3 DESC) x  WHERE ROWNUM <= 10

　　3、寻找最近30分钟导致资源过高开销的事件

--filename:top_event_in_30_min.sql
--Last 30 minutes result those resources that are in high demand on your system.
SET LINESIZE 180
COL event FORMAT a60
COL total_wait_time FORMAT 999999999999999999

  SELECT active_session_history.event,
         SUM (
            active_session_history.wait_time
            + active_session_history.time_waited)
            total_wait_time
    FROM v$active_session_history active_session_history
   WHERE active_session_history.sample_time BETWEEN SYSDATE - 60 / 2880
                                                AND SYSDATE
         AND active_session_history.event IS NOT NULL
GROUP BY active_session_history.event
ORDER BY 2 DESC;

4、查找最近30分钟内等待最多的用户

--filename:top_wait_by_user.sql --What user is waiting the most? SET LINESIZE 180 COL event FORMAT a60 COL total_wait_time FORMAT 999999999999999999   SELECT ss.sid,          NVL (ss.username, 'oracle') AS username,          SUM (ash.wait_time + ash.time_waited) total_wait_time     FROM v$active_session_history ash, v$session ss    WHERE ash.sample_time BETWEEN SYSDATE - 60 / 2880 AND SYSDATE AND ash.session_id = ss.sid GROUP BY ss.sid, ss.username ORDER BY 3 DESC;

　　5、查找30分钟消耗最多资源的SQL语句

--filename:top_sql_by_wait.sql -- What SQL is currently using the most resources? SET LINESIZE 180 COL sql_text FORMAT a90 WRAP COL username FORMAT a20 WRAP SET PAGESIZE 200 SELECT *   FROM (  SELECT sqlarea.sql_text,                  dba_users.username,                  sqlarea.sql_id,                  SUM (active_session_history.wait_time + active_session_history.time_waited)                     total_wait_time             FROM v$active_session_history active_session_history, v$sqlarea sqlarea, dba_users            WHERE     active_session_history.sample_time BETWEEN SYSDATE - 60 / 2880 AND SYSDATE                  AND active_session_history.sql_id = sqlarea.sql_id                  AND active_session_history.user_id = dba_users.user_id         GROUP BY active_session_history.user_id,                  sqlarea.sql_text,                  sqlarea.sql_id,                  dba_users.username         ORDER BY 4 DESC) x  WHERE ROWNUM <= 11;

　　6、等待最多的对象

--filename:top_object_by_wait.sql --What object is currently causing the highest resource waits? SET LINESIZE 180 COLUMN OBJECT_NAME FORMAT a30 COLUMN EVENT FORMAT a30   SELECT dba_objects.object_name,          dba_objects.object_type,          active_session_history.event,          SUM (active_session_history.wait_time + active_session_history.time_waited) ttl_wait_time     FROM v$active_session_history active_session_history, dba_objects    WHERE active_session_history.sample_time BETWEEN SYSDATE - 60 / 2880 AND SYSDATE          AND active_session_history.current_obj# = dba_objects.object_id GROUP BY dba_objects.object_name, dba_objects.object_type, active_session_history.event ORDER BY 4 DESC;

7、寻找基于指定时间范围内的历史SQL语句

--注该查询受到awr快照相关参数的影响 -- filename:top_sql_in_spec_time.sql --Top SQLs Elaps time and CPU time in a given time range.. --X.ELAPSED_TIME/1000000 => From Micro second to second --X.ELAPSED_TIME/1000000/X.EXECUTIONS_DELTA => How many times the sql ran SET PAUSE ON SET PAUSE 'Press Return To Continue' SET LINESIZE 180 COL sql_text FORMAT a80 WRAP   SELECT sql_text,          dhst.sql_id,          ROUND (x.elapsed_time / 1000000 / x.executions_delta, 3) elapsed_time_sec,          ROUND (x.cpu_time / 1000000 / x.executions_delta, 3) cpu_time_sec,          x.elapsed_time,          x.cpu_time,          executions_delta AS exec_delta     FROM dba_hist_sqltext dhst,          (  SELECT dhss.sql_id sql_id,                    SUM (dhss.cpu_time_delta) cpu_time,                    SUM (dhss.elapsed_time_delta) elapsed_time,                    CASE SUM (dhss.executions_delta) WHEN 0 THEN 1 ELSE SUM (dhss.executions_delta) END                       AS executions_delta               FROM dba_hist_sqlstat dhss              WHERE dhss.snap_id IN                       (SELECT snap_id                          FROM dba_hist_snapshot                         WHERE begin_interval_time >= TO_DATE ('&input_start_date', 'YYYYMMDD HH24:MI')                               AND end_interval_time <= TO_DATE ('&input_end_date', 'YYYYMMDD HH24:MI'))           GROUP BY dhss.sql_id) x    WHERE x.sql_id = dhst.sql_id ORDER BY elapsed_time_sec DESC;

　　8、寻找基于指定时间范围内及指定用户的历史SQL语句

--注该查询受到awr快照相关参数的影响 --Author : Robinson --Blog   : http://blog.csdn.net/robinson_0612 SELECT DBMS_LOB.SUBSTR (sql_text, 4000, 1) AS sql,          ROUND (x.elapsed_time / 1000000, 2) elapsed_time_sec,          ROUND (x.cpu_time / 1000000, 2) cpu_time_sec,          x.executions_delta AS exec_num,          ROUND ( (x.elapsed_time / 1000000) / x.executions_delta, 2) AS exec_time_per_query_sec     FROM dba_hist_sqltext dhst,          (  SELECT dhss.sql_id sql_id,                    SUM (dhss.cpu_time_delta) cpu_time,                    SUM (dhss.elapsed_time_delta) elapsed_time,                    CASE SUM (dhss.executions_delta) WHEN 0 THEN 1 ELSE SUM (dhss.executions_delta) END                       AS executions_delta               --DHSS.EXECUTIONS_DELTA = No of queries execution (per hour)               FROM dba_hist_sqlstat dhss              WHERE dhss.snap_id IN                       (SELECT snap_id                          FROM dba_hist_snapshot                         WHERE begin_interval_time >= TO_DATE ('&input_start_date', 'YYYYMMDD HH24:MI')                               AND end_interval_time <= TO_DATE ('&input_end_date', 'YYYYMMDD HH24:MI'))                    AND dhss.parsing_schema_name LIKE UPPER ('%&input_username%')           GROUP BY dhss.sql_id) x    WHERE x.sql_id = dhst.sql_id ORDER BY elapsed_time_sec DESC;

　　9、SQL语句被执行的次数

--exe_delta表明在指定时间内增长的次数 -- filename: sql_exec_num.sql -- How many Times a query executed? SET LINESIZE 180 SET VERIFY OFF   SELECT TO_CHAR (s.begin_interval_time, 'yyyymmdd hh24:mi:ss'),          sql.sql_id AS sql_id,          sql.executions_delta AS exe_delta,          sql.executions_total     FROM dba_hist_sqlstat sql, dba_hist_snapshot s    WHERE     sql_id = '&input_sql_id'          AND s.snap_id = sql.snap_id          AND s.begin_interval_time > TO_DATE ('&input_start_date', 'YYYYMMDD HH24:MI')          AND s.begin_interval_time < TO_DATE ('&input_end_date', 'YYYYMMDD HH24:MI') ORDER BY s.begin_interval_time;