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Please note
IBM’s statements regarding its plans, directions, and intent are subject to change
or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general
product direction and it should not be relied on in making a purchasing decision.
The information mentioned regarding potential future products is not a
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functionality described for our products remains at our sole discretion.
Performance is based on measurements and projections using standard IBM
benchmarks in a controlled environment. The actual throughput or performance
that any user will experience will vary depending upon many factors, including
considerations such as the amount of multiprogramming in the user’s job stream,
the I/O configuration, the storage configuration, and the workload processed.
Therefore, no assurance can be given that an individual user will achieve results
similar to those stated here.
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Agenda
• Automatic Data Processing, Inc. - Who are we?
• DB2 Query Monitor (QM) – Overview
• Optim Query Workload Tuner (OQWT)- Overview
• How ADP uses these tools to help with both reactive and proactive
performance resolutions.
• ADP Performance Success Stories using these tools.
• QUESTIONS?
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Automatic Data Processing, Inc.
Automatic Data Processing, Inc. (NASDAQ: ADP),
• About $10 billion in revenues
• Approximately 570,000 clients
• Is one of the world's largest providers of business outsourcing solutions.
• Leveraging over 60 years of experience, ADP offers a wide range of human
resource, payroll, tax and benefits administration solutions from a single source.
• ADP's easy-to-use solutions for employers provide superior value to companies of
all types and sizes.
• ADP is also a leading provider of integrated computing solutions to auto, truck,
motorcycle, marine, recreational vehicle, and heavy equipment dealers throughout
the world.
http://www.adp.com
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DB2 Query Monitor v3.1
• SQL Monitoring Tool
o Not Thread or Subsystem monitor
• Low overhead SQL
statement monitor
• Identify problem
SQL activity
• Determine the tables
and indexes
used by
SQL statement
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InfoSphere Optim Query Workload Tuner
Requirements
Benefits
Get expert, actionable advice to
improve SQL workload
performance
Improved performance
Improved productivity
Reduced costs
Reduced risks
Optimize
Performance
Reduce skill
requirements and
increase productivity for
tuning
Analyze entire workloads
rather than query at a
time
Provide expert query
tuning advice that
analyzes tradeoffs
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Streamlined Analysis with expert advisors
• Statistics
o Get recommendations on
the best statistics to
capture to influence
access path selection
• Access Path
o Get recommendations on
how to influence the
access path selection
• Query
o Get recommendations
regarding how to rewrite
the query for better
efficiency
• Index
o Get recommendations on
indexes changes that can
reduce database scans
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How ADP Uses Query Monitor & Query Workload Tuner
• Reactive Performance issues: Top 25 CPU Usage
Report : identifies poor performing jobs with high
CPU usage or support calls for jobs running longer
than expected.
• Proactive performance issues: SQL Reviews
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Top 25 CPU Usage
• ADP runs this report daily to identify our top 25 jobs with the highest
CPU usage. These jobs are reviewed and each one starting with the
worst and working our way down are evaluated using QM and OQWT.
• With QM we are able to quickly drill down and identify the problem
SQL(s) for the specific programs run in the job.
• Using OQWT we are able to run the various advisors to help us
quickly identify possible improvements.
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TOP 25 CPU Users Report
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• We produce these reports daily using data that we store in DB2
in our PM History Database.
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Query Monitor: Identify the “culprit”
• We use Query Monitor to then look up the job that was identified
in the TOP 25 report to identify the query(ies) and their respective
program(s) that utilized the majority of the CPU.
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OQWT: Stats Advisor Recommendation
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At this point we can try running the Stats and redo the advisors
Generates
RUNSTATS
control
statements
Improve Statistics Quality and Collection
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TOP 25 CPU Report Success Stories (1)
• Identified a job that was first on the report for months. Sent summary
report to developers and verified with them the expected performance
improvement for implementing some of the advisor recommendations:
Here are the results of the recommended index change
o DSN_STATEMNT_TABLE ESTIMATED COST CHANGE - OLD EST SVC UNITS 823,974
o DSN_STATEMNT_TABLE ESTIMATED COST CHANGE - OLD EST CPU 18,952
o DSN_STATEMNT_TABLE ESTIMATED COST CHANGE - NEW EST SVC UNITS 163,377
o DSN_STATEMNT_TABLE ESTIMATED COST CHANGE - NEW EST CPU 3,758
• 80% reduction in CPU cost
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TOP 25 CPU Report Success Stories (2)
• We have a job that runs all day Tuesday through Saturday and has peak
processing every Wednesday and Thursday. Its accounting information shows
that it spends almost all of the time in DB2 and all application CPU is same as
DB2 CPU time.
• Through QM we quickly identified the most expensive SQL where we verified that
it had a bad access path doing a tablespace scan for some of its query blocks.
• Then we generated OQWT advisor reports for this problem query. We
implemented the recommendation of a new index on the table being scanned and
performance of the query improved by as much as 70% : ( the query is a SELECT
COUNT(*)…… DELETE FROM…….)
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What to do next …SQL Reviews
• At ADP we conduct “DART” (DB2 Application Review Template)
reviews for new and modified SQL for our upcoming application
releases.
• At these reviews Queries are reviewed along with their explain
output. If an access path is not acceptable (TBL or IX scans, IX/MC 1
on a low cardinality column, etc.) then we provide an OQWT summary
report with recommended improvements.
• In most cases the recommendation is a change to the query, in some
cases it was a change or addition of an index.
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SQL Reviews: Example
• This is taken from an OQWT Query Advisor report:
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Highlights relevant
components of the
query
Recommendation
and rationale
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SQL Review: Results
• After running several iterations of the Query with recommended changes,
we put together the cost as shown in the OQWT summary reports to
determine the best choice for the Query:
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We verified that this is the best case by running two DSNTEP2 jobs, one in
the morning and one in the afternoon using the original query and the
modified query for option 2 and the results seen in QM for ET, CPU and
I/O were very close to the results shown in the summary reports for cost.
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Analyze DB2 10 Workload Success Story
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Best practice for getting workload tuning advice
– Improve statistics quality
– Improve query design
– Improve database design (index & access path )
Speed up analysis, optimize design,
and balance resource usage
Workload : Multiple SQL statements defined by user
•The effort for tuning the whole application with good performance by evaluating every statement is
overwhelming . Optimization decisions are based on tradeoffs
•Statistics – CPU costs vs. query savings
•Indexing – query speed vs resource and transaction
•When application data grows, allows you to do proactive application health check periodically to find potential
problems earlier before costly application outages
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Compare current access path with DB2 10
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•Adding ‘OPTIMIZE FOR 1 ROW’ clause to the SQL statement for the DAT
Cursor
•creating a new index to match the predicates and here are the cost results:
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Using QM & OQWT: Big Savings
• One of our DBA’s who is primarily using these tools to
research these poor performing jobs and recommend
improvements stated the following with regard to how
much time on average it takes to find these improvements
(this is as recent as work done on 6/19/2012):
• “Using QM, PM and OQWT took one hour. Testing indices
took 6 hours as the query was complex and took time to
understand which query block is bad performer”.
• So in total, it takes on average less than a day for one
DBA to identify improvements for poor performing queries.
Identifying a solution has been reduced significantly for us.
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Summary
Meet SLAs
Increase
Performance
Lower
Infrastructure
Costs
Minimize slowdowns which impact End User Productivity
Avoid Problems with proactive query tuning
Improved HW and DB Utilization & Cost Savings
Database Administrators do more with Less
Faster Time to Problem Resolution
KEY SOLUTION: "IBM InfoSphere Optim Query Workload Tuner for z/OS“
& "IBM DB2 Query Monitor for z/OS"
Lower
Operational
Costs
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Resources
• Integrated Data Management Community
o http://www.ibm.com/developerworks/spaces/optim
• IBM Optim Query Workload Tuner web page
o https://www-01.ibm.com/software/data/db2imstools/db2tools/opti-expert-zos/
• IBM DB2 Query Monitor for z/OS
o http://www-01.ibm.com/software/data/db2imstools/db2tools/db2querymon.html
• SQL Tuning, Not just for hardcore DBAs anymore
o http://www.ibmdmmagazinedigital.com/dmmagazine/
• Redbooks at www.redbooks.ibm.com
o DB2 9 for z/OS Performance Topics SG24-7473
o IBM DB2 9 for z/OS: New Tools for Query Optimization SG24-7421
Contact
Saghi Amirsoleymani, Optim Enablement Specialist,
amirsole@us.ibm.com
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