如何找出 Oracle 10g 中访问最多或使用频率最高的表
How to find out which tables are most accessed or frequently used in Oracle 10g
我在获取 oracle 10g 中最常用的 table 时遇到了麻烦。
我正在使用带有 EBS R12.1.3 应用程序的 Oracle 10g 版本 10.2.0.4.0。
请帮我整理一下数据库中最常用的table
如果可能的话，我想获取表名、所有者以及在某个时间范围内访问它的次数。
我需要这个用于调整目的。
请提供查询以获得相同的结果。
提前致谢！
我知道两种方法，其中一种是打开所有监控 table 然后使用该统计信息，或者使用 v$segment_statistics 分析块访问统计信息，像这样，告诉你 top 50 按访问类型 table 的总值排序，您应该在查询中提供目标架构名称 < YOURSCHEMA >。
select *
from (select rownum RN, T.*
from (select stat.OBJECT_NAME, stat.STATISTIC_NAME, stat.VALUE AcsValue,
sum(value) over(partition by stat.OBJECT_NAME) Total
from v$segment_statistics stat
where owner = < YOURSCHEMA >
and stat.OBJECT_TYPE = 'TABLE'
and stat.STATISTIC_NAME in
('logical reads', 'pptimized physical reads',
'physical read requests', 'physical reads',
'physical reads direct', 'physical write requests',
'physical writes', 'physical writes direct')
order by sum(value) over(partition by stat.OBJECT_NAME) desc) T) TOrd
where TOrd.RN < 50
如果您需要它来调整 Oracle EBS 环境，我建议从应用程序或 SQL 而不是 table 和分段层开始查看它。
AWR 包含特定日期范围内 IO 最密集的查询，如 DBA AWR SQL Performance Summary for example. Functions xxen_util.responsibility and xxen_util.apps_module used by this SQL can be downloaded here 所示。
select
decode(:order_by,
'elapsed time',x.elapsed_time/sum(x.elapsed_time) over ()*100,
'IO',x.buffer_io/sum(x.buffer_io) over ()*100,
'executions',x.executions/sum(x.executions) over ()*100
) percentage,
xxen_util.responsibility(x.action) responsibility,
xxen_util.apps_module(x.module) apps_module,
x.module,
x.program,
x.program_line#,
x.sql_id,
x.plan_hash_value,
(select dhst.sql_text from dba_hist_sqltext dhst where x.dbid=dhst.dbid and x.sql_id=dhst.sql_id) sql_text,
x.executions,
x.elapsed_time,
xxen_util.time(x.elapsed_time) time,
x.user_io_wait_time,
x.cpu_time,
x.plsql_exec_time,
x.concurrency_wait_time,
x.application_wait_time,
x.elapsed_time/decode(x.executions,0,null,x.executions) time_exec,
x.buffer_io,
x.disk_io,
x.buffer_io/decode(x.executions,0,null,x.executions) io_exec,
x.rows_processed/decode(x.executions,0,null,x.executions) rows_exec,
x.buffer_io/decode(x.rows_processed,0,null,x.rows_processed) io_row,
x.buffer_io/decode(x.elapsed_time,0,null,x.elapsed_time) io_sec,
case when x.executions>100 then x.buffer_io/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24/3600 end io_sec_avg,
(x.buffer_io-x.disk_io)/xxen_util.zero_to_null(x.cpu_time) buffer_rate,
x.disk_io/xxen_util.zero_to_null(x.user_io_wait_time) disk_rate,
100*x.disk_io/xxen_util.zero_to_null(x.buffer_io) disk_percentage,
case when x.executions>100 then x.executions/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24 end execs_per_hour,
case when x.executions>100 then 100*x.elapsed_time/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24/3600 end time_percentage,
x.is_bind_sensitive,
x.is_bind_aware,
x.parsing_schema_name,
x.parse_calls,
x.first_load_time,
x.last_load_time,
x.command_type,
x.action
from
(
select /*+ cardinality(dhs 100) */ distinct
case when :aggregate_level like '% per day' then dhs.date_ end date_,
case when :aggregate_level like 'SQL%' then max(dhss.module) over (partition by dhss.sql_id, dhss.plan_hash_value) else dhss.module end module,
case when :aggregate_level like 'SQL%' then max(dhss.action) over (partition by dhss.sql_id, dhss.plan_hash_value) else dhss.action end action,
sum(dhss.elapsed_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 elapsed_time,
sum(dhss.iowait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 user_io_wait_time,
sum(dhss.cpu_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 cpu_time,
sum(dhss.plsexec_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 plsql_exec_time,
sum(dhss.ccwait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 concurrency_wait_time,
sum(dhss.apwait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 application_wait_time,
vp.value*sum(dhss.buffer_gets_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 buffer_io,
sum(dhss.physical_read_bytes_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 disk_io,
sum(dhss.executions_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) executions,
sum(dhss.rows_processed_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) rows_processed,
min(dhss.parsing_schema_name) over (partition by dhss.sql_id, dhss.plan_hash_value) parsing_schema_name,
sum(dhss.parse_calls_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) parse_calls,
min(dhs.begin_interval_time_) over (partition by dhss.sql_id, dhss.plan_hash_value) first_load_time,
max(dhs.end_interval_time_) over (partition by dhss.sql_id, dhss.plan_hash_value) last_load_time,
case when :aggregate_level like 'SQL%' then dhss.sql_id end sql_id,
case when :aggregate_level like 'SQL%' then dhss.plan_hash_value end plan_hash_value,
case when :aggregate_level like 'SQL%' then decode(dhst.command_type,1,'create table',2,'insert',3,'select',6,'update',7,'delete',9,'create index',11,'alter index',26,'lock table',42,'alter session',44,'commit',45,'rollback',46,'savepoint',47,'pl/sql block',48,'set transaction',50,'explain',62,'analyze table',90,'set constraints',170,'call',189,'merge','other') end command_type,
case when :aggregate_level like 'SQL%' then gsa.is_bind_sensitive end is_bind_sensitive,
case when :aggregate_level like 'SQL%' then gsa.is_bind_aware end is_bind_aware,
case when :aggregate_level like 'SQL%' then gsa.object_name end program,
case when :aggregate_level like 'SQL%' then gsa.program_line# end program_line#,
dhs.dbid
from
(
select trunc(dhs.begin_interval_time) date_,
cast(dhs.begin_interval_time as date) begin_interval_time_,
cast(dhs.end_interval_time as date) end_interval_time_,
dhs.*
from
dba_hist_snapshot dhs
) dhs,
dba_hist_sqlstat dhss,
dba_hist_sqltext dhst,
(
select
gsa.sql_id,
gsa.plan_hash_value,
gsa.is_bind_sensitive,
gsa.is_bind_aware,
do.object_name,
case when gsa.program_line#>0 then gsa.program_line# end program_line#
from
gv$sqlarea gsa,
dba_objects do
where
2=2 and
'Y'='Y' and
gsa.program_id=do.object_id(+)
) gsa,
(select vp.value from v$parameter vp where vp.name like 'db_block_size') vp
where
dhs.begin_interval_time>=:date_from and
dhst.command_type not in (47) and
1=1 and
dhs.dbid=(select vd.dbid from v$database vd) and
dhs.dbid=dhss.dbid and
dhs.instance_number=dhss.instance_number and
dhs.snap_id=dhss.snap_id and
dhss.dbid=dhst.dbid and
dhss.sql_id=dhst.sql_id and
dhss.sql_id=gsa.sql_id(+) and
dhss.plan_hash_value=gsa.plan_hash_value(+)
) x
order by
case when :aggregate_level in ('Module per day','SQL per day') then x.date_ end desc,
decode(:order_by,'elapsed time',x.elapsed_time,'IO',x.buffer_io,'executions',x.executions) desc
-- binds --
:aggregate_level = SQL
:order_by = IO
我在获取 oracle 10g 中最常用的 table 时遇到了麻烦。 我正在使用带有 EBS R12.1.3 应用程序的 Oracle 10g 版本 10.2.0.4.0。
请帮我整理一下数据库中最常用的table
如果可能的话，我想获取表名、所有者以及在某个时间范围内访问它的次数。
我需要这个用于调整目的。
请提供查询以获得相同的结果。
提前致谢！
我知道两种方法，其中一种是打开所有监控 table 然后使用该统计信息，或者使用 v$segment_statistics 分析块访问统计信息，像这样，告诉你 top 50 按访问类型 table 的总值排序，您应该在查询中提供目标架构名称 < YOURSCHEMA >。
select *
from (select rownum RN, T.*
from (select stat.OBJECT_NAME, stat.STATISTIC_NAME, stat.VALUE AcsValue,
sum(value) over(partition by stat.OBJECT_NAME) Total
from v$segment_statistics stat
where owner = < YOURSCHEMA >
and stat.OBJECT_TYPE = 'TABLE'
and stat.STATISTIC_NAME in
('logical reads', 'pptimized physical reads',
'physical read requests', 'physical reads',
'physical reads direct', 'physical write requests',
'physical writes', 'physical writes direct')
order by sum(value) over(partition by stat.OBJECT_NAME) desc) T) TOrd
where TOrd.RN < 50
如果您需要它来调整 Oracle EBS 环境，我建议从应用程序或 SQL 而不是 table 和分段层开始查看它。
AWR 包含特定日期范围内 IO 最密集的查询，如 DBA AWR SQL Performance Summary for example. Functions xxen_util.responsibility and xxen_util.apps_module used by this SQL can be downloaded here 所示。
select
decode(:order_by,
'elapsed time',x.elapsed_time/sum(x.elapsed_time) over ()*100,
'IO',x.buffer_io/sum(x.buffer_io) over ()*100,
'executions',x.executions/sum(x.executions) over ()*100
) percentage,
xxen_util.responsibility(x.action) responsibility,
xxen_util.apps_module(x.module) apps_module,
x.module,
x.program,
x.program_line#,
x.sql_id,
x.plan_hash_value,
(select dhst.sql_text from dba_hist_sqltext dhst where x.dbid=dhst.dbid and x.sql_id=dhst.sql_id) sql_text,
x.executions,
x.elapsed_time,
xxen_util.time(x.elapsed_time) time,
x.user_io_wait_time,
x.cpu_time,
x.plsql_exec_time,
x.concurrency_wait_time,
x.application_wait_time,
x.elapsed_time/decode(x.executions,0,null,x.executions) time_exec,
x.buffer_io,
x.disk_io,
x.buffer_io/decode(x.executions,0,null,x.executions) io_exec,
x.rows_processed/decode(x.executions,0,null,x.executions) rows_exec,
x.buffer_io/decode(x.rows_processed,0,null,x.rows_processed) io_row,
x.buffer_io/decode(x.elapsed_time,0,null,x.elapsed_time) io_sec,
case when x.executions>100 then x.buffer_io/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24/3600 end io_sec_avg,
(x.buffer_io-x.disk_io)/xxen_util.zero_to_null(x.cpu_time) buffer_rate,
x.disk_io/xxen_util.zero_to_null(x.user_io_wait_time) disk_rate,
100*x.disk_io/xxen_util.zero_to_null(x.buffer_io) disk_percentage,
case when x.executions>100 then x.executions/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24 end execs_per_hour,
case when x.executions>100 then 100*x.elapsed_time/(decode(x.last_load_time,x.first_load_time,to_date(null),x.last_load_time)-x.first_load_time)/24/3600 end time_percentage,
x.is_bind_sensitive,
x.is_bind_aware,
x.parsing_schema_name,
x.parse_calls,
x.first_load_time,
x.last_load_time,
x.command_type,
x.action
from
(
select /*+ cardinality(dhs 100) */ distinct
case when :aggregate_level like '% per day' then dhs.date_ end date_,
case when :aggregate_level like 'SQL%' then max(dhss.module) over (partition by dhss.sql_id, dhss.plan_hash_value) else dhss.module end module,
case when :aggregate_level like 'SQL%' then max(dhss.action) over (partition by dhss.sql_id, dhss.plan_hash_value) else dhss.action end action,
sum(dhss.elapsed_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 elapsed_time,
sum(dhss.iowait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 user_io_wait_time,
sum(dhss.cpu_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 cpu_time,
sum(dhss.plsexec_time_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 plsql_exec_time,
sum(dhss.ccwait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 concurrency_wait_time,
sum(dhss.apwait_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 application_wait_time,
vp.value*sum(dhss.buffer_gets_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 buffer_io,
sum(dhss.physical_read_bytes_delta) over (partition by dhss.sql_id, dhss.plan_hash_value)/1000000 disk_io,
sum(dhss.executions_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) executions,
sum(dhss.rows_processed_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) rows_processed,
min(dhss.parsing_schema_name) over (partition by dhss.sql_id, dhss.plan_hash_value) parsing_schema_name,
sum(dhss.parse_calls_delta) over (partition by dhss.sql_id, dhss.plan_hash_value) parse_calls,
min(dhs.begin_interval_time_) over (partition by dhss.sql_id, dhss.plan_hash_value) first_load_time,
max(dhs.end_interval_time_) over (partition by dhss.sql_id, dhss.plan_hash_value) last_load_time,
case when :aggregate_level like 'SQL%' then dhss.sql_id end sql_id,
case when :aggregate_level like 'SQL%' then dhss.plan_hash_value end plan_hash_value,
case when :aggregate_level like 'SQL%' then decode(dhst.command_type,1,'create table',2,'insert',3,'select',6,'update',7,'delete',9,'create index',11,'alter index',26,'lock table',42,'alter session',44,'commit',45,'rollback',46,'savepoint',47,'pl/sql block',48,'set transaction',50,'explain',62,'analyze table',90,'set constraints',170,'call',189,'merge','other') end command_type,
case when :aggregate_level like 'SQL%' then gsa.is_bind_sensitive end is_bind_sensitive,
case when :aggregate_level like 'SQL%' then gsa.is_bind_aware end is_bind_aware,
case when :aggregate_level like 'SQL%' then gsa.object_name end program,
case when :aggregate_level like 'SQL%' then gsa.program_line# end program_line#,
dhs.dbid
from
(
select trunc(dhs.begin_interval_time) date_,
cast(dhs.begin_interval_time as date) begin_interval_time_,
cast(dhs.end_interval_time as date) end_interval_time_,
dhs.*
from
dba_hist_snapshot dhs
) dhs,
dba_hist_sqlstat dhss,
dba_hist_sqltext dhst,
(
select
gsa.sql_id,
gsa.plan_hash_value,
gsa.is_bind_sensitive,
gsa.is_bind_aware,
do.object_name,
case when gsa.program_line#>0 then gsa.program_line# end program_line#
from
gv$sqlarea gsa,
dba_objects do
where
2=2 and
'Y'='Y' and
gsa.program_id=do.object_id(+)
) gsa,
(select vp.value from v$parameter vp where vp.name like 'db_block_size') vp
where
dhs.begin_interval_time>=:date_from and
dhst.command_type not in (47) and
1=1 and
dhs.dbid=(select vd.dbid from v$database vd) and
dhs.dbid=dhss.dbid and
dhs.instance_number=dhss.instance_number and
dhs.snap_id=dhss.snap_id and
dhss.dbid=dhst.dbid and
dhss.sql_id=dhst.sql_id and
dhss.sql_id=gsa.sql_id(+) and
dhss.plan_hash_value=gsa.plan_hash_value(+)
) x
order by
case when :aggregate_level in ('Module per day','SQL per day') then x.date_ end desc,
decode(:order_by,'elapsed time',x.elapsed_time,'IO',x.buffer_io,'executions',x.executions) desc
-- binds --
:aggregate_level = SQL
:order_by = IO