Westfield DB2 z/os System Management

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1 Westfield DB2 z/os System Management Managing the Pain with Stats, Charts, Graphs, & REXX NEODBUG Aug 16, 2012 Mike Smith Westfield Insurance

2 Agenda About Westfield DB2 Workload and Environment Tools and resources Building the Infrastructure 5 Examples of pain management

3 About Westfield

4 About Westfield Property and casualty insurance for over 150 years One of the largest non-public companies in Ohio Over 3.4 billion in assets/1.5 billion in written premium Network of more that 1,200 leading independent agencies 2300 employees in 60 offices servicing 31 states

5 Westfield DB2 z/os IBM z196 Hardware Ziip Specialty Engine DB2 V9.1 Two Production DB2 Subsystems

6 DB2 Workloads PeopleSoft Financial PeopleSoft Human Resources (HRMS) Westfield-developed Java Web Applications Westfield-developed Mainframe Applications OLAP PDBS / ADBS

7 PeopleSoft Financial Application Software runs on UNIX and Windows servers General Ledger, Accounts Payable, Asset Management, Purchasing, Financial Reporting OLTP, Batch, and Reporting 550 gb of data in 52K tables 210K connections per day (prime shift) 1-3 Million SQL calls per day Heavy month end reporting

8 PeopleSoft HRMS Application Software runs on UNIX and Windows servers Payroll, Benefits, Human Resources OLTP, Batch, and reporting 40 gig of data in 24K tables 280K connections / day 1-3 Million SQL calls / day

9 Web Applications Westfield-written Web-based applications on Linux servers Policy entry, quoting, services OLTP 250 gig of data in 1K tables 3.7 Million connections / day 22 Million SQL calls / day Peaks of 800+ SQL / second

10 Mainframe Applications Westfield-written COBOL programs Small but growing workload CICS and batch processing

11 OLAP Reporting and some BI Relatively small, but growing volatile 4K connections / day 36K SQL calls / day

12 PDBS / ADBS People Doing Bad Stuff Applications Doing Bad Stuff Many ways for Business and IT users to easily generate and run SQL Unpredictable Disruptive Time consuming

13 Objectives #1 - No phone calls at night #2 - No phone calls during the day

14 Why Calls At Night? Availability Errors Poor Performance

15 Why Calls During the Day? Availability Errors Poor Performance Cost (CPU)

16 How to Meet Objectives Prevent problems from happening Third Party Monitor: Great for real-time monitoring Great for problem diagnosis as it is happening Canned reports and reporting tool lacking Need Tools for: Long-term performance monitoring Resource utilization Trending Capacity planning Measuring the impact of change

17 Requirements are Characteristic of Business Intelligence (BI) Easy flexible reporting Quick turnaround Detail Roll up or drill down Time Slicing (by hr, day, mo, prime time, etc) Trending Correlation Ad-hoc Discovery

18 The Evolution of GI BI for Geeks Data from DB2 Accounting, Performance, Stats Traces, Statement Cache, SMS, and more COGNOS for Reports and Graphs REXX for more complex processing or display

19 Steps for building GI Analyze DB2 Trace Data hundreds of metrics Design DB2 Tables and indexes Build dimension tables and hierarchies Transform & Load Data Monitor software and MXG can help with load 8-9 million rows loaded every day More transformation and summarization Create views to simplify use Build MQT s for performance

20 Steps for Building GI - continued Build Cognos application for standard reports and graphs Build Cognos templates for ad-hoc Build Spufi templates for ad-hoc and discovery Write REXX where programming is needed

21 Example #1 CPU Containment High cost of CPU High use by DB2 can constrain other mainframe workloads High use can indicate DB2 application performance problem

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26 Example #2 Application Performance Distributed Application Response Time Components: DB2 Linux Server Websphere Java Code Service Calls How do we find the root of performance problems? DB2 guilty until proven innocent

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37 Example #3 DASD Utilization Make sure enough available for day-to-day processing Capacity planning

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40 Example #4 DB2 System Constraints DB2 Subsystem Resources Shared internally by all DB2 applications Shared externally with all z/os work CPU Memory I/O Constraint can cause DB2 performance degradation or outages Over allocation can cause mainframe degradation or outages

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45 Example #5 Bad SQL The Monitor-Resistant Strain Symptoms can include: Increase in CPU Increased lock time Increased I/O Performance degradation Monitor detects no long-running SQL Look for (very) frequently executed but fast SQL useful technique for testing SQL before production deployment

46 Remedy Examine Dynamic Statement Cache 1. -STA TRACE(PERFM) CLASS(32) IFCID(318) DEST(GTF) 2. -STO TRACE(PERFM) CLASS(32) 3. EXPLAIN STMTCACHE ALL 4. Query table to find which SQL is using the most resources 5. Run REXX to get the SQL statement and detailed stats 6. Explain the SQL

47 Select to get SQL of interest STMT_ID AUTHID EXEC_CNT GETPG_TOT GETPG_AVG APPWACP APPWPLP APPWACP APPWACP APPWACP APPWACP IMPAISP APPWACP APPWACP APPWCLP APPWACP APPWACP APPWACP APPWPLP APPWACP APPWACP APPWACP

48 Run selected statement id s through REXX to get the details -- ========================================================== -- APPWPLP0 ID: CACHED: 06/11/ :19 AM TIME IN CACHE: 00:23: TOTAL PER EXEC PER MIN PER SEC EXECUTED GET PG ELAP TM CPU TM BUF RD SYNC I/O TM ASYNC I/O TM LOCK TM SORTS IX SCANS TS SCANS EXAM ROWS PROC ROWS SELECT HOM_ID FROM PDB2WPLP.HOM WHERE RCC_REF_NR =? WITH UR

49 Questions? - MichaelSmith@WestfieldGrp.com

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