AWR, ASH - use cases and 11.2 enhancements · PDF file- Automatic Workload Repository (AWR) ... name, value from gv$sysstat ... topnsql=>50 – Number 30..50000; 'DEFAULT', 'MAXIMUM

AWR, ASH - use cases

and 11.2 enhancements

Олег Коротков

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Agenda

- Automatic Workload Repository (AWR)

- Basic ideas

- dba_hist% views

- 11.2 enhancements

- AWR use cases & limitations

- Active Session History (ASH)

- Basic ideas

- 11.2 enhancements

- Typical use cases


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Agenda


- Basic ideas

- dba_hist% views

- 11.2 enhancements



- Basic ideas

- 11.2 enhancements

- Typical use cases


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Automatic Workload Repository

Oracle Database performance diagnostics tools

evolution:

- UTLBSTAT/UTLESTAT

- STATSPACK (starting from Oracle 8i)

- AWR (starting from Oracle 10g)

But the idea is the same…


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Oracle has a lot of operational statistics/metrics

gathered since the instance startup.


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Automatic Workload Repository SQL> select inst_id, name, value from gv$sysstat

where name in ('physical reads','session logical reads','user

commits','user rollbacks')

order by name, inst_id;

INST_ID NAME VALUE

---------- ---------------------- ----------

1 physical reads 219525005

2 physical reads 905189162

1 session logical reads 5925054313

2 session logical reads 1.7457E+10

1 user commits 5294595

2 user commits 28113236

1 user rollbacks 8455066

2 user rollbacks 150792358

-- All stattistics:

select * from v$statname;

10.2.0.4 = 387; 10.2.0.5 = 395

11.2.0.2 = 628


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Automatic Workload Reports SQL> select inst_id, event, total_waits, time_waited, average_wait,

sum(time_waited_micro) over (partition by event) twm_total

from gv$system_event

where wait_class='User I/O'

order by twm_total desc, event, inst_id;

INST_ID EVENT TOTAL_WAITS TIME_WAITED AVERAGE_WAIT TWM_TOTAL

---------- ------------------------- ----------- ----------- ------------ ----------

1 db file sequential read 27577537 40274551 1.46 3.8091E+12

2 db file sequential read 159856155 340633564 2.13 3.8091E+12

1 direct path read temp 44837941 8919281 .2 2.9431E+11

2 direct path read temp 122808964 20511343 .17 2.9431E+11

1 direct path read 1435296 1511142 1.05 9.9823E+10

2 direct path read 12075539 8471152 .7 9.9823E+10

-- All events:

select count(*) from v$event_name;

10.2.0.4 = 889; 10.2.0.5 = 916

11.2.0.2 = 1142


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Automatic Workload Repository SQL> select sql_id, execs, rw, LIOs, PhIOs from (

2 select sql_id, /*sql_text,*/ sum(executions) execs,

3 sum(rows_processed) rw, sum(buffer_gets) LIOs, sum(disk_reads) PhIOs

4 from gv$sql

5 where module='SQL Developer' and rownum>=1

6 group by sql_id/*, sql_text*/

7 order by PhIOs desc)

8 where rownum<=5;

SQL_ID EXECS RW LIOS PHIOS

------------- ---------- ---------- ---------- ----------

3w1fk8r93360m 1 1 8156 348

davt444np8yr7 6 6 3583 289

7b775q3tc69a9 22 22 2899 213

58kz178ugwm87 29 29 2982 96

ayaq4d3bbt7k8 1 3 106 88


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AWR just makes a copy of system views with

scheduled time interval…

… and gives a possibility to make a report (diff) based

on two snapshots.

gv$sysstat

gv$system_event

…

gv$sql

Snap a

t 8 A

M;

done b

y M

MO

N

gv$sysstat

gv$system_event

…

gv$sql

Snap a

t 9 A

M

DB activity [8AM, 9AM]


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AWR configuration.

- Oracle Diagnostic Pack is required (Oracle EE

additional option).

- STATISTICS_LEVEL = TYPICAL or ALL

- (11g) CONTROL_MANAGEMENT_PACK_ACCESS

= DIAGNOSTIC or DIAGNOSTIC+TUNING


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AWR configuration.

SQL> select * from dba_hist_wr_control;

DBID SNAP_INTERVAL RETENTION TOPNSQL

---------- ------------------ ------------------ ----------

1486911308 +00000 01:00:00.0 +00007 00:00:00.0 DEFAULT

To change: dbms_workload_repository.modify_snapshot_settings(

retention=>129600, -- New retention time (in minutes).

60*24*90=129600

interval=>30, -- New interval setting between each snapshot, in

units of minutes

topnsql=>50 – Number 30..50000; 'DEFAULT', 'MAXIMUM'

)


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Create (additional) snapshot: dbms_workload_repository.create_snapshot('ALL') -- flush_level

= 'TYPICAL' or 'ALL‘

SQL> select dbms_workload_repository.create_snapshot from dual;

CREATE_SNAPSHOT

---------------

7762

SQL> select dbms_workload_repository.create_snapshot('ALL') from dual;

DBMS_WORKLOAD_REPOSITORY.CREATE_SNAPSHOT('ALL')

-----------------------------------------------

7763

SQL> select snap_id, count(*) from dba_hist_sqlstat where snap_id in (7762,7763)

group by snap_id;

SNAP_ID COUNT(*)

---------- ----------

7763 103

7762 59


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Generate report across two snapshots: select * from table(

dbms_workload_repository.awr_report_text(

2334238573, -- DBID

1, -- instance number

38392, -- ‘Begin Snapshot’ ID

38393, -- ‘End Snapshot’ ID

0) -- flag = 0 or 8 (display ADDM specific parts)

);

-- ADDM sections: Buffer Cache Advisory (for ADDM); SGA Target

Advisory (for ADDM); Shared Pool Advisory (for ADDM); Streams Pool

Advisory (for ADDM); PGA Target Advisory (for ADDM)

There is a similar awr_report_html() function.


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AWR report (fragments) 1/8: WORKLOAD REPOSITORY report for

DB Name DB Id Instance Inst Num Startup Time Release RAC

------------ ----------- ------------ -------- --------------- ----------- ---

XXXXX 207063651 ###### 1 09-Oct-11 20:43 11.2.0.2.0 YES

Host Name Platform CPUs Cores Sockets Memory(GB)

---------------- -------------------------------- ---- ----- ------- ----------

###### Linux x86 64-bit 8 8 4 31.38

Snap Id Snap Time Sessions Curs/Sess

--------- ------------------- -------- ---------

Begin Snap: 46095 03-Feb-12 08:00:02 248 5.0

End Snap: 46096 03-Feb-12 09:00:12 249 5.0

Elapsed: 60.17 (mins)

DB Time: 183.68 (mins)

11.2 new data/format


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Automatic Workload Reports

AWR reports 2/8: Load Profile Per Second Per Transaction Per Exec Per Call

~~~~~~~~~~~~ --------------- --------------- ---------- ----------

DB Time(s): 3.1 0.4 0.05 0.02

DB CPU(s): 1.1 0.1 0.02 0.01

Redo size: 167,379.4 20,585.9

Logical reads: 70,689.2 8,694.0

Block changes: 769.8 94.7

Physical reads: 3,480.6 428.1

Physical writes: 126.5 15.6

User calls: 138.9 17.1

Parses: 46.4 5.7

Hard parses: 0.1 0.0

W/A MB processed: 4.9 0.6

Logons: 0.1 0.0

Executes: 63.2 7.8

Rollbacks: 0.3 0.0

Transactions: 8.1


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AWR report 3/8: Top 5 Timed Foreground Events

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Avg

wait % DB

Event Waits Time(s) (ms) time Wait Class

------------------------------ ------------ ----------- ------ ------ ----------

db file sequential read 618,214 4,667 8 42.3 User I/O

DB CPU 4,085 37.1

direct path read temp 810,891 1,726 2 15.7 User I/O

enq: TX - row lock contention 693 208 300 1.9 Applicatio

log file sync 29,137 104 4 .9 Commit

Host CPU (CPUs: 8 Cores: 8 Sockets: 4)

~~~~~~~~ Load Average

Begin End %User %System %WIO %Idle

--------- --------- --------- --------- --------- ---------

4.45 4.17 27.9 1.1 14.1 70.7

Instance CPU

~~~~~~~~~~~~

% of total CPU for Instance: 15.0

% of busy CPU for Instance: 51.3


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Automatic Workload Reports

AWR reports 4/8: Wait Event Histogram DB/Inst: ######/###### Snaps: 46095-46096

<…>

% of Waits

-----------------------------------------------

Total

Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s

-------------------------- ----- ----- ----- ----- ----- ----- ----- ----- -----

db file sequential read 619.1 22.0 1.8 9.4 37.0 25.0 3.5 1.5 .0

<…>

Waits 64ms

Event to 2s <32ms <64ms <1/8s <1/4s <1/2s <1s <2s >=2s

-------------------------- ----- ----- ----- ----- ----- ----- ----- ----- -----

db file sequential read 9020 98.5 1.0 .3 .1 .1 .0 .0 .0

<…>

Waits 4s

Event to 2m <2s <4s <8s <16s <32s < 1m < 2m >=2m

-------------------------- ----- ----- ----- ----- ----- ----- ----- ----- -----

db file sequential read 1 100.0 .0


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AWR report 5/8: SQL ordered by Elapsed Time DB/Inst: ######/##### Snaps: 46095-46096

<…>

Elapsed Elapsed Time

Time (s) Executions per Exec (s) %Total %CPU %IO SQL Id

---------------- -------------- ------------- ------ ------ ------ -------------

3,610.8 4 902.69 32.8 3.8 96.6 3c8sz91kt214t

Module: JDBC Thin Client

MERGE INTO …

3,609.9 0 N/A 32.8 52.0 47.8 0q694rv7gzkzs

Module: SQL*Plus

SELECT count(*) FROM …


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AWR report 6/8: SQL ordered by Elapsed Time

SQL ordered by CPU Time

SQL ordered by User I/O Wait Time

SQL ordered by Gets

SQL ordered by Reads

SQL ordered by Physical Reads (UnOptimized)

-> UnOptimized Read Reqs = Physical Read Reqts - Optimized Read Reqs

SQL ordered by Executions

SQL ordered by Parse Calls

SQL ordered by Sharable Memory

SQL ordered by Version Count

SQL ordered by Cluster Wait Time


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AWR report 7/8: IOStat by Function summary DB/Inst: #####/##### Snaps: 46095-46096

Reads: Reqs Data Writes: Reqs Data Waits: Avg

Function Name Data per sec per sec Data per sec per sec Count Tm(ms)

--------------- ------- ------- ------- ------- ------- ------- ------- -------

Direct Reads 45.5G 228.3 12.9145 0M 0.0 0M 0 N/A

Buffer Cache Re 2.4G 171.7 .681144 0M 0.0 0M 619.1K 7.1

DBWR 0M 0.0 0M 1.7G 71.4 .493891 0 N/A

<…>

TOTAL: 48.9G 409.7 13.8572 2.8G 89.3 .800808 716.7K 6.3

IOStat by Filetype summary DB/Inst: #####/##### Snaps: 46095-46096

Reads: Reqs Data Writes: Reqs Data Small Large

Filetype Name Data per sec per sec Data per sec per sec Read Read

--------------- ------- ------- ------- ------- ------- ------- ------- -------

Temp File 39.6G 224.9 11.2232 0M 0.0 0M 1.6 N/A

Data File 8.4G 175.2 2.37223 1.7G 71.4 .493060 7.1 29.1

<…>

TOTAL: 48.9G 409.7 13.8569 2.8G 89.3 .799977 3.9 31.7

IOStat by Function/Filetype summary


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AWR report 8/8: Segments by Physical Reads

Segments by Physical Read Requests

Segments by UnOptimized Reads

Segments by Optimized Reads

Segments by Direct Physical Reads

Segments by Physical Writes

Segments by Physical Write Requests

Segments by Direct Physical Writes

Segments by Table Scans

Segments by DB Blocks Changes

+ enhanced RAC (interconnect, DRM) statistics


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Other AWR reports/procedures:

Dbms_workload_repository package:

ASH_report_text (ASH_report_html)

ASH_global_report_text

AWR_diff_report_text

AWR_global_diff_report_text

AWR_global_report_text

AWR_SQL_report_text

Dbms_xplan.display_awr


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AWR baselines.

Baseline is a pair of snapshots…

Oracle10g: fixed baselines only: DBMS_WORKLOAD_REPOSITORY.CREATE_BASELINE(

start_snap_id,

end_snap_id,

baseline_name...

);

Oracle 11g: baseline templates for fixed date or for repeated

timeframe.


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AWR tables and views.

AWR data is stored in SYS schema in SYSAUX tablespace.

Looks like there are WRH$% and WRM$% tables.

DBA_HIST% views are created above the tables.

10.2.0.4 – 78 views; 11.2.0.2 – 111 views


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select <...>

from dba_hist_snapshot, dba_hist_sys_time_model

<...>

Date min_snap_id max_id DB time DB CPU

31.01.2012 121851 121955 3582,46 1899,31

30.01.2012 121747 121850 3942,73 1787,58

29.01.2012 121643 121746 3225,62 1587,83

28.01.2012 121538 121642 2626,14 1410,22

27.01.2012 121435 121537 -705799,94 -284112,92

26.01.2012 121329 121434 3524,76 1934,44

25.01.2012 121226 121328 3935,66 2004,01


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select <...>

from dba_hist_snapshot, dba_hist_system_event

<...>

Event_name waits_1 duration_1 waits_2 duration_2

gc buffer busy 1378135 1,9 16189 0,4

gc cr grant 2-way 5830652 0,2 97805 0,2

gc current block 2-way 2783997 0,3 365330 0,3

gc cr multi block request 1339350 0,2 1850738 0,2

gc cr block 2-way 39967 0,3 948740 0,3

gc current grant busy 298901 0,7 20273 0,3

gc current grant 2-way 1027710 0,2 1164 0,3


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Example 1. Average and Skew.

So four executions took 278 seconds (69,5*4).

How long did each take?

69,5 in average.


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select <...>

from dba_hist_snapshot, dba_hist_sqlstat

<...>

SNAP_ID EXECS ELA GETS READS IOWAIT PLAN_HASH_VALUE

---------- ---------- ---------- ---------- ---------- ---------- ---------------

4918 1 178966 45213 0 0 4196013364

4876 1 1145258 151525 34 599518 4196013364

4854 1 1775405 114964 127 1277256 4196013364

4770 1 274975901 3775568 21750 260995652 4196013364

69,5 in average. But no any execution even close to this time.


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Example 2. TOPNSQL. A query is the same (9g7dr4k9qj1r1). Usage pattern is the same.

“Heavy” executions: DD EXECS ELA_PER_EXEC GETS_PER_EXEC

-------------------- ---------- ------------ -------------

28.12.2011 14 1053 379809 21161

28.12.2011 13 12336 9043237 21148

28.12.2011 12 942 379609 21296

28.12.2011 11 1097 378855 21060

28.12.2011 10 1505 382856 21168

28.12.2011 09 6102 7229608 21604

“Light” executions: -------------------- ---------- ------------ -------------

29.12.2011 14 5860 2003 89

29.12.2011 13 6723 2016 91

29.12.2011 10 6435 2008 86

There were no executions in some snaps.

ADD_COLORED_SQL/REMOVE_COLORED_SQL to mark sql_id.


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A kind of conclusion about AWR.

- It’s very useful tool for analyzing performance in past periods.

- Oracle11g AWR is better (more comprehensive and more

convenient) than 10g.

- Selecting from AWR views gives even more powerful and

flexible reports.

But…

AWR requires addition licensing.

It gives you only aggregated information.

Some data can be ‘omitted’.


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Agenda


- Basic ideas

- dba_hist% views

- 11.2 enhancements



- Basic ideas

- 11.2 enhancements

- Typical use cases


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Active Session History

Active Session History (ASH) is a new tool introduced

in Oracle10g.

Once a second it makes snapshot of active sessions

(on CPU or in non-Idle events). Something close to… select ... from gv$session

where wait_class<>'Idle';

ASH data is not complete but..

It is not aggregated (like other AWR data).


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dba_hist_active_sess_history 10.2.0.5 – 52 columns; 11.2.0.2 – 97 columns.

Some of the columns: SNAP_ID, DBID, INSTANCE_NUMBER, SAMPLE_ID, SAMPLE_TIME – sample identification;

SESSION_ID, SESSION_SERIAL#, USER_ID, PROGRAM, MODULE, MACHINE, PORT – session

identification;

SQL_ID, SQL_PLAN_HASH_VALUE, SQL_PLAN_LINE_ID, SQL_EXEC_ID – SQL information;

EVENT, P1, P2, P3, TIME_WAITED – wait event information;

BLOCKING_SESSION, BLOCKING_SESSION_SERIAL#, BLOCKING_INST_ID – locking information;

TM_DELTA_CPU_TIME, TM_DELTA_DB_TIME, DELTA_READ_IO_REQUESTS.

DELTA_WRITE_IO_REQUESTS, DELTA_READ_IO_BYTES, DELTA_WRITE_IO_BYTES,

DELTA_INTERCONNECT_IO_BYTES – session activity info.


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Agenda

ASH architecture (John Beresniewicz. Practical Active Session

History)

Circular buffer in SGA

(2MB per CPU)

Session state

objects

V$SESSION V$SESSION_WAIT

MMON Lite (MMNL)

V$ACTIVE_SESSION_HISTORY DBA_HIST_ACTIVE_SESS_HISTORY

AWR

Direct-

path

INSERTS

Every

hour

Write 1 out of 10

samples

Every second

(or flush)

Indexed

on time

Readers go

unlatched

Writer goes one

direction

Readers go the

opposite way


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ASH in memory – fixed memory consumption, variable time

range. SQL> select inst_id, bytes/(1024*1024) MB from gv$sgastat where name='ASH buffers';

INST_ID MB

---------- ----------

1 16

3 16

2 16

SQL> select inst_id, (max(sample_time)-min(sample_time)) ASH_window

from gv$active_session_history group by inst_id;

INST_ID ASH_WINDOW

---------- -------------------------------

1 +000000000 07:18:12.038

2 +000000000 07:01:26.268

3 +000000000 10:15:25.558

Samples for every second.


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ASH on disk – fixed time range controlled by AWR retention. SQL> select instance_number, (max(sample_time)-min(sample_time)) ASH_window

from dba_hist_active_sess_history group by instance_number;

INSTANCE_NUMBER ASH_WINDOW

--------------- ----------------------------------

1 +000000032 04:59:50.479

2 +000000032 04:59:45.743

3 +000000032 04:59:40.818

SQL> select 'ASH in memory' what, count(distinct sample_id) samples_per_hour

2 from v$active_session_history

3 where sample_time>=trunc(sysdate) and sample_time<trunc(sysdate)+1/24

4 union all

5 select 'ASH on disk', count(distinct sample_id) sample_id

6 from dba_hist_active_sess_history

7 where instance_number=1 and sample_time>=trunc(sysdate) and sample_time<trunc(sysdate)+1/24;

WHAT SAMPLES_PER_HOUR

------------- ----------------

ASH in memory 3592

ASH on disk 359

1/10 of samples from ‘ASH in memory’.


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Each sample in ASH data represents a second of database

activity.

Theoretically:

- Count of rows for one sample is DB Time.

- Count of rows with session_state=‘ON CPU’ is DB CPU.

In my experience the accuracy of the calculation hardly ever

better than 15-20% on production systems with significant load.


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Example 1. AWR report: Snap Id Snap Time Sessions Curs/Sess

--------- ------------------- -------- ---------

Begin Snap: 118264 27-Dec-11 13:30:23 1,410 49.8

Elapsed: 15.06 (mins)

DB Time: 2,438.18 (mins)

<…>

Event Waits Time (s) (ms) Time Wait Class

------------------------------ ------------ ----------- ------ ------ ----------

latch: cache buffers chains 409,488 51,930 127 35.5 Concurrenc

CPU time 6,341 4.3

db file sequential read 164,900 1,113 7 0.8 User I/O

<…>

Elapsed CPU Elap per % Total

Time (s) Time (s) Executions Exec (s) DB Time SQL Id

---------- ---------- ------------ ---------- ------- -------------

139,282 4,307 11,574 12.0 95.2 9g7dr4k9qj1r1

140 000 (ela for the query) / 900 (15 minutes) =

= 155 concurrently executed queries.


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Example 1. ASH content (1/3): SQL> select to_char(trunc(sample_time,'mi'),'hh24:mi') dd, count(*) c,

2 count(distinct h.session_id||':'||h.session_serial#) s

3 from dba_hist_active_sess_history h

4 where h.instance_number=1 and h.snap_id between 118265 and 118265

5 and h.sample_time>=to_date('27.12.2011 13:30','dd.mm.yyyy hh24:mi')

6 and h.sample_time <to_date('27.12.2011 13:45','dd.mm.yyyy hh24:mi')

7 group by trunc(sample_time,'mi') order by trunc(sample_time,'mi');

DD C S

--------------- ---------- ----------

13:30 33 24

13:31 3134 1044

13:32 4846 914

13:33 55 48

13:34 37 24

13:35 28 17

13:36 25 17

13:37 239 230

13:38 5242 1016

13:39 1188 873

13:40 28 26

13:41 19 19

<…>


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Example 1. ASH content (2/3): SQL> select sample_time, count(*) c,

2 sum(case when sql_id='9g7dr4k9qj1r1' then 1 else 0 end) s

3 from dba_hist_active_sess_history h

4 where h.instance_number=1 and h.snap_id between 118265 and 118265

5 and h.sample_time>=to_date('27.12.2011 13:30','dd.mm.yyyy hh24:mi')

6 and h.sample_time <to_date('27.12.2011 13:45','dd.mm.yyyy hh24:mi')

7 group by sample_time order by sample_time;

…


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Example 1. ASH content (3/3): SAMPLE_TIME C S

------------------------------ ---------- ----------

27-DEC-11 01.30.05.551 PM 6 0

27-DEC-11 01.30.15.591 PM 5 0

<…>

27-DEC-11 01.31.15.850 PM 4 0

27-DEC-11 01.31.25.959 PM 410 395

27-DEC-11 01.31.36.069 PM 980 963

27-DEC-11 01.31.46.652 PM 887 857

27-DEC-11 01.31.56.951 PM 848 822

27-DEC-11 01.32.06.994 PM 862 844

27-DEC-11 01.32.17.056 PM 852 831

27-DEC-11 01.32.27.118 PM 869 842

27-DEC-11 01.32.37.165 PM 855 840

27-DEC-11 01.32.47.225 PM 800 776

27-DEC-11 01.32.57.516 PM 608 570

27-DEC-11 01.33.07.566 PM 25 10

27-DEC-11 01.33.17.613 PM 8 1

27-DEC-11 01.33.27.658 PM 5 1

27-DEC-11 01.33.37.690 PM 4 0

<…>


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Example 2. sql_exec_id (Oracle 11g) (1/2).

SQL_EXEC_ID is counter of SQL executions on a given instance. (See Tanel Poder blog entry.)

SQL> declare j number;

begin

dbms_job.submit(job=>j,

what=>'declare p number; begin for i in 1..3 loop select count(*) into p from

positions e_test where mrp=1; end loop; end;',

instance=>1);

end;

/

PL/SQL procedure successfully completed.

SQL> declare j number;

begin

dbms_job.submit(job=>j,

what=>'declare p number; begin for i in 1..2 loop select count(*) into p from

positions e_test where mrp=1; end loop; end;',

instance=>2);

end;

/


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Example 2. sql_exec_id (Oracle 11g) (2/2).

SQL> select sql_id, sql_text from v$sql where sql_id='2dxypmkd8p3qk';

-------------

2dxypmkd8p3qk

SELECT COUNT(*) FROM POSITIONS E_TEST WHERE MRP=1

SQL> select inst_id, sql_exec_id, to_char(sql_exec_id,'XXXXXXXX') sql_exec_id_h,

count(*) s

from gv$active_session_history

where sql_id='2dxypmkd8p3qk'

group by inst_id, sql_exec_id

order by 1,2;

INST_ID SQL_EXEC_ID SQL_EXEC_ S

---------- ----------- --------- ----------

1 16777216 1000000 4

1 16777217 1000001 4

1 16777218 1000002 5

2 33554432 2000000 5

2 33554433 2000001 4


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ASH is great tool for: - Investigate load spikes within an AWR snapshot.

- Analyze ‘long’ queries executions (especially in 11g).

- Investigate locking/blocking issues (if locking time not too short).

Limitations: - The information is not complete. ASH on disk is more incomplete.

- DB activity spikes makes ‘retention window’ of ASH in memory shorter

(sometimes dramatically).

- Tends to sample ‘long’ events.

- Licensing as part of AWR.


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References

Oracle® Database Documentation, 11g Release 2 (11.2)

Oracle® Database Performance Tuning Guide

5 Automatic Performance Statistics http://docs.oracle.com/cd/E11882_01/server.112/e16638/autostat.htm

Oracle® Database PL/SQL Packages and Types Reference

161 DBMS_WORKLOAD_REPOSITORY http://docs.oracle.com/cd/E11882_01/appdev.112/e25788/d_workload_repos.htm

Mike Ault. AWR Report Detailed Analysis. http://www.nyoug.org/Presentations/2008/Sep/Ault_AWR.pdf

John Beresniewicz. Practical Active Session History

Tanel Poder. What the heck is the SQL Execution ID – SQL_EXEC_ID? http://blog.tanelpoder.com/2011/10/24/what-the-heck-is-the-sql-execution-id-sql_exec_id/

http://docs.oracle.com/cd/E11882_01/server.112/e16638/autostat.htm

http://docs.oracle.com/cd/E11882_01/appdev.112/e25788/d_workload_repos.htm

http://www.nyoug.org/Presentations/2008/Sep/Ault_AWR.pdf

http://blog.tanelpoder.com/2011/10/24/what-the-heck-is-the-sql-execution-id-sql_exec_id/


















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Thank you for coming!

Questions?

Documents

AWR, ASH - use cases and 11.2 enhancements · PDF file- Automatic Workload Repository (AWR) ... name, value from gv$sysstat ... topnsql=>50 – Number 30..50000; 'DEFAULT', 'MAXIMUM