Figures

1. Creating a STOGROUP Defined Table Space . . . . . . . . . . . . . . . . . . . . . . . . 14

2. User Defined Table Space: Step 1—Define the Cluster . . . . . . . . . . . . . . . . . 14

3. User Defined Table Space: Step 2— Define the Table Space . . . . . . . . . . . . 15

4. Installation Panel for Sizing DB2 System Objects . . . . . . . . . . . . . . . . . . . . . . 16

5. DB2 Log and Its Data Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

6. Image Copy SHRLEVEL REFERENCE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

7. Image Copy SHRLEVEL CHANGE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

8. ISMF Primary Option Menu for End Users. . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

9. ISMF Primary Option Menu for Storage Administrators . . . . . . . . . . . . . . . . . . 27 10. DFSMShsm Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

11. Implementing an SMS Configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

12. ACS Routine Execution Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

13. SMS Construct Relationship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

14. Display a Data Class . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 15. Data Class DCDB2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 16. Display of Storage Group SGDB20 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

17. Volumes in Storage Group SGDB20 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

18. ACS Routine Extract Using Table and Index Name Filter List . . . . . . . . . . . . . 55

19. Example VSAM Definition of one BSDS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

20. Example VSAM Definition of One Active Log . . . . . . . . . . . . . . . . . . . . . . . . . 69

21. Archive Log Installation Panel DSNTIPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

22. RAMAC3 Drawer Logical Volume Mapping . . . . . . . . . . . . . . . . . . . . . . . . . . . 86

23. LSF Concept 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

24. LSF Concept 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

25. Snapshot Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88

26. Schema of a Backup with Concurrent Copy . . . . . . . . . . . . . . . . . . . . . . . . . . 94

27. Virtual Concurrent Copy Operation Steps . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

28. Profile of a PPRC Write . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96

29. Time Sequenced I/Os . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97

30. GDPS Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98

31. XRC Data Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100

32. Storage Hierarchy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104

33. DB2PM Accounting Trace Buffer Pool Report Extract . . . . . . . . . . . . . . . . . . 109

34. DB2 PM Statistic Report Buffer Pool Reads . . . . . . . . . . . . . . . . . . . . . . . . . 110

35. DB2 PM Statistic Report Buffer Pool Writes . . . . . . . . . . . . . . . . . . . . . . . . . 110

36. Display Buffer Pool Data Set Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111

37. Log Record Path to Disk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113

38. Two-Phase Commit with Dual Active Logs . . . . . . . . . . . . . . . . . . . . . . . . . . 113

39. Minimum Active Log Data Set Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . 115

40. Installation Panel DSNTIPL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115

41. Log Statistics in a Sample DB2 PM Statistics Report . . . . . . . . . . . . . . . . . . 118

42. Scope of Performance Analysis Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119

43. Installation Panel DSNTIPN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120

44. DB2 PM Accounting, Buffer Pool Section . . . . . . . . . . . . . . . . . . . . . . . . . . . 121

45. DB2 PM Statistics, Buffer Pool Read Operations Section . . . . . . . . . . . . . . . 122

46. DB2 PM Statistics, Log Activity Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123

47. Buffer Pool Section from I/O Activity Summary Report . . . . . . . . . . . . . . . . . 124

48. Cache Subsystem Activity Status and Overview Reports . . . . . . . . . . . . . . . 127

49. Cache Subsystem Activity Device Overview Report . . . . . . . . . . . . . . . . . . . 127

50. Direct Access Device Activity Report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

© Copyright IBM Corp. 1999

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IBM 5695-DF1, 5655-DB2 manual Figures
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5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.
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