The document discusses mining the Automatic Workload Repository (AWR) in Oracle databases for capacity planning, visualization, and other real-world uses. It introduces Karl Arao as a speaker and discusses topics he will cover including AWR, diagnosing performance issues using AWR data, visualization of AWR data, capacity planning, and tools for working with AWR data like scripts and linear regression. References and resources on working with AWR are also provided.

1. Mining the AWR repository for
Capacity Planning, Visualization,
& other real world stuff

2. Who am I?
• Karl Arao, Oracle ACE, OCP-DBA, RHCE
• Currently @ Enkitec - Senior Technical Consultant
• Formerly @ SQL*Wizard - Solutions Architect
• Blog: http://karlarao.wordpress.com
• Wiki: http://karlarao.tiddlyspot.com

3. Who am I?
• Karl Arao, Oracle ACE, OCP-DBA, RHCE
• Currently @ Enkitec - Senior Technical Consultant
• Formerly @ SQL*Wizard - Solutions Architect
• Blog: http://karlarao.wordpress.com
• Wiki: http://karlarao.tiddlyspot.com

4. Who am I?
• Karl Arao, Oracle ACE, OCP-DBA, RHCE
• Currently @ Enkitec - Senior Technical Consultant
• Formerly @ SQL*Wizard - Solutions Architect
• Blog: http://karlarao.wordpress.com
• Wiki: http://karlarao.tiddlyspot.com

5. What will I talk about?

7. Overwhelming

8. AWR HELL

9. DBA_HIST_* views

10. My first close encounter

11. gc block lost – sudden slow down
http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost

12. gc block lost – sudden slow down
http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost

13. gc block lost – sudden slow down
http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost

14. gc block lost – sudden slow down
http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost

15. After gc block lost – normal workload
http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost

16. Utilization = Requirement / Capacity

17. Double Y Axis Graph

18. t1 -------------------------------------> t0
335 – 336 – 337 – 338 – 339

25. delta issue

29. AWR Scripts

30. Visualization

31. Can’t go back in time?

32. AAS – Average Active Sessions
Kyle Hailey: http://www.perfvision.com/ftp/class/02_AAS.ppt
Max CPU
Max CPU

33. AAS – the Golden Metric
AAS & CPU count as a yardstick for a possible performance problem:
if AAS < 1
-- Database is not blocked
AAS ~= 0
-- Database basically idle
-- Problems are in the APP not DB
AAS < # of CPUs
-- CPU available
-- Database is probably not blocked
-- Are any single sessions 100% active?
AAS > # of CPUs
-- Could have performance problems
AAS >> # of CPUS
-- There is a bottleneck

34. AAS from V$ACTIVE_SESSION_HISTORY
AAS = Sample Count / Elapsed Time CPU count = 4
= 19410 / 600
= 32.35

35. AAS from DBA_HIST_ACTIVE_SESS_HISTORY
AAS = (Sample Count * 10) / Elapsed Time CPU count = 4
= (1950 * 10) / 600
= 32.5

36. AAS from AWR Report
AAS = DB Time / Elapsed Time CPU count = 4
= 291.81 / 9.10
= 32.07

37. AAS from AWR Top Events
AAS = DB Time / Elapsed Time CPU count = 4
291.81 / 9.10 = 32.07
AAS = Event Time / Elapsed Time
17410 / 546 = 31.9

38. awr_topevents.sql

39. Textual trends

43. AAS throughout the AWR retention
period!
http://karlarao.wordpress.com/2010/07/25/graphing-the-aas-with-perfsheet-a-la-enterprise-manager

44. Capacity Planning

45. Utilization is the ultimate metric!

46. awr_genwl.sql

47. http://karlarao.wordpress.com/2010/01/31/workload-characterization-using-dba_hist-tables-and-ksar

48. U=R/C

49. where aas > 1

50. Filter the data points
• AAS range
aas > 1
• Per SNAP_ID or range of SNAP_IDs
id in (336)
where id >= 336 and id <= 340
• Oracle CPU Utilization
oracpupct > 50
• OS CPU Utilization
oscpupct > 50
• Workload periods
AND TO_CHAR(s0.END_INTERVAL_TIME,'D') >= 1 -- Day of week: 1=Sunday 7=Saturday
AND TO_CHAR(s0.END_INTERVAL_TIME,'D') <= 7
AND TO_CHAR(s0.END_INTERVAL_TIME,'HH24MI') >= 0900 -- Hour
AND TO_CHAR(s0.END_INTERVAL_TIME,'HH24MI') <= 1800
AND s0.END_INTERVAL_TIME >= TO_DATE('2010-jan-17 00:00:00','yyyy-mon-dd hh24:mi:ss') -- Data range
AND s0.END_INTERVAL_TIME <= TO_DATE('2010-aug-22 23:59:59','yyyy-mon-dd hh24:mi:ss‘)

52. core need = # of cores * utilization * 1.25
Database Consolidation Best Practices
http://husnusensoy.files.wordpress.com/2010/05/database-consolidation-best-practices.pdf

55. Total disk IOPS = (IOPS * Read Ratio) + (IOPS * Write Ratio * RAID penalty)
Number of disk = Total disk IOPS / IOPS per disk

57. awr_iowl.sql

58. Average latency issue
60 minutes interval 10 minutes interval

59. latency (ms) = (readtim / phy reads) * 10

60. Linear Regression

65. x data (CPU) = is the "independent value", used to predict the value of y
y data (AAS) = is the "dependent value", variable whose value is to be predicted

71. r2toolkit
Uses the following
inbuilt Oracle functions:
•regr_count
•regr_r2
•regr_intercept
•regr_slope

72. r2toolkit
The toolkit systematically
gets the statistic with
highest correlation
coefficient (relationship)
No guess work!

73. Linear Regression – what’s the value?
Lets you do forecast that can
guide you with targeted response
time optimizations and workload
reduction.
• Drill down on SNAP_IDs (data
samples) with high AAS
• Know what’s causing the high AAS
on those SNAP_IDs
• Tune the bottleneck - results to
huge savings on system resources!

74. Linear Regression on 2 node RAC
http://karlarao.tiddlyspot.com/#r2project
racnode1 racnode2

75. Drilling down on the peak workload...
with AAS of 10

76. Drilling down on the peak workload...
with AAS of 10

81. Now on the low workload period...
with AAS of 2.2

82. Now on the low workload period...
with AAS of 2.2

86. Recap
• Mine the beautiful data set
• Visualization tell a story immediately
• Statistics to make sense of data

87. Let the
AWR data set
change your mind set!

88. Thank you!

89. References and Tools
• http://karlarao.wordpress.com
– http://karlarao.tiddlyspot.com/#%5B%5BStorage%20IOPS%2Ccapacity%2Cperformance
%2Ccost%5D%5D
– http://karlarao.tiddlyspot.com/#Statistics
– http://karlarao.tiddlyspot.com/#OraclePerformance
• Tanel Poder @ http://blog.tanelpoder.com
– http://www.tanelpoder.com/files/TPT_public.zip
– http://www.tanelpoder.com/files/PerfSheet.zip
– Neil Gunther & Tanel Poder - Multidimensional Visualization of Oracle Performance
using Barry007 http://arxiv.org/pdf/0809.2532
• Kyle Hailey @ http://ashmasters.com , http://www.perfvision.com
• Craig Shallahamer @ orapub.com
– Introduction To Oracle Server Consolidation
http://resources.orapub.com/product_p/server_consolidation_ppt.htm
• Husnu Sensoy @ husnusensoy.wordpress.com
– Database Consolidation Best Practices
http://husnusensoy.files.wordpress.com/2010/05/database-consolidation-best-
practices.pdf
• Andy Rivenes @ http://www.appsdba.com/pubs.htm
• Neeraj Bhatia @ www.nioug.org/files/Linear_Regression.pdf

90. Contact me through:
karl.arao@enkitec.com