《收获,不止SQL优化》读书笔记 (4)

查询数据情况信息SQL:

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 desc;

KEEP方式,固定缓存

SQL> alter system set db_keep_cache_size=100M; 系统已更改。 SQL> drop table t; 表已删除。 SQL> create table t as select * from dba_objects; 表已创建。 SQL> create index idx_object_id on t(object_id); 索引已创建。 SQL> select BUFFER_POOL from user_tables where TABLE_NAME='T'; BUFFER_ ------- DEFAULT SQL> select BUFFER_POOL from user_indexes where INDEX_NAME='IDX_OBJECT_ID'; BUFFER_ ------- DEFAULT SQL> alter index idx_object_id storage(buffer_pool keep); 索引已更改。 SQL> --以下将索引全部读进内存 SQL> select /*+index(t,idx_object_id)*/ count(*) from t where object_id is not null; COUNT(*) ---------- 111113 SQL> --以下将数据全部读进内存 SQL> alter table t storage(buffer_pool keep); 表已更改。 SQL> select /*+full(t)*/ count(*) from t; COUNT(*) ---------- 111113 SQL> --执行KEEP操作后,通过如下方法查询出BUFFER_POOL列值为KEEP,表示已经KEEP成功了 SQL> select BUFFER_POOL from user_tables where TABLE_NAME='T'; BUFFER_ ------- KEEP SQL> select BUFFER_POOL from user_indexes where INDEX_NAME='IDX_OBJECT_ID'; BUFFER_ ------- KEEP

获取提交次数超过一个阈值的SID:

select t1.sid, t1.value, t2.name from v$sesstat t1, v$statname t2 where t2.name like '%user commits%' and t1.STATISTIC# = t2.STATISTIC# and value >= 10000 order by value desc;

获取对应的SQL_ID

select t.SID, t.PROGRAM, t.EVENT, t.LOGON_TIME, t.WAIT_TIME, t.SECONDS_IN_WAIT, t.SQL_ID, t.PREV_SQL_ID from v$session t where sid in(132);

通过SQL_ID获取对应SQL

select t.sql_id, t.sql_text, t.EXECUTIONS, t.FIRST_LOAD_TIME, t.LAST_LOAD_TIME from v$sqlarea t where sql_id in ('ccpn5c32bmfmf');

内容版权声明:除非注明,否则皆为本站原创文章。

转载注明出处:https://www.heiqu.com/wpxgdz.html