51. I/O Queuing Activity Report. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131

52. Channel Path Activity Report: LPAR Mode. . . . . . . . . . . . . . . . . . . . . . . . . . . 132

53. DB2 I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135

54. IXFP Device Performance Subsystem Summary Report . . . . . . . . . . . . . . . . 137

55. IXFP Cache Effectiveness Subsystem Summary Report . . . . . . . . . . . . . . . . 138

56. IXFP Space Utilization Subsystem Report . . . . . . . . . . . . . . . . . . . . . . . . . . . 139

57. DB2 PM Accounting, Class 1 and Class 2 Sections . . . . . . . . . . . . . . . . . . . . 142

58. DB2 PM Accounting, SQL DML Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142

59. DB2 PM Accounting, SQL DCL Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

60. DB2 PM Accounting, Parallel Query Section . . . . . . . . . . . . . . . . . . . . . . . . . 143

61. DB2 PM Statistics, Global DDF Activity Section . . . . . . . . . . . . . . . . . . . . . . . 144

62. DB2 PM Accounting, BP2 Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144

63. DB2 PM Accounting, BP4 Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

64. DB2 PM Accounting Class 3 Times . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

65. DB2 PM Accounting Highlights . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146

66. DB2 PM Accounting Buffer Pool Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . 147

67. Reducing the RMF Data to Analyze . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148

68. Case Study RMF Direct Access Device Activity Report Extract . . . . . . . . . . . 149

69. Case Study RMF I/O Queuing Activity Extract . . . . . . . . . . . . . . . . . . . . . . . . 150

70. Case Study RMF Channel Path Activity Extract . . . . . . . . . . . . . . . . . . . . . . . 150

71. Case Study RMF Cache Subsystem Activity Extracts . . . . . . . . . . . . . . . . . . 151

72. Case Study IXFP Device Performance Case Summary Extract . . . . . . . . . . . 152

73. Case Study IXFP Cache Effectiveness Overall Extract . . . . . . . . . . . . . . . . . 153

74. Case Study IXFP Space Utilization Summary Extract . . . . . . . . . . . . . . . . . . 154

75. DB2PM I/O Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155

76. Device Activity Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155

77. Cache Activity Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156

78. IXFP Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156

79. Case Study I/O Flows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157

80. Disk Volume Configuration Used in the Test Environment . . . . . . . . . . . . . . . 161

81. Test Case 1 - CREATE STOGROUP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162

82. Test Case 1 - CREATE DATABASE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .162

83. Test Case 1 - CREATE TABLESPACE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163

84. Test Case 1 - Display of Volume RV1CU0 . . . . . . . . . . . . . . . . . . . . . . . . . . . 163

85. Test Case 2 - DEFINE CLUSTER. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164

86. Test Case 2 - CREATE STOGROUP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164

87. Test Case 2 - CREATE TABLESPACE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165

88. Test Case 2 - Display of Volume RV2CU1 . . . . . . . . . . . . . . . . . . . . . . . . . . . 165

89. Test Case 3 - ISMF Storage Class Definition . . . . . . . . . . . . . . . . . . . . . . . . .166

90. Test Case 3 - Storage Class Routine Extract . . . . . . . . . . . . . . . . . . . . . . . . .167

91. Test Case 3 - ISMF Management Class Definition . . . . . . . . . . . . . . . . . . . . . 168

92. Test Case 3 - Management Class Routine Extract . . . . . . . . . . . . . . . . . . . . . 168

93. Test Case 3 - ISMF Pool Storage Group Definition . . . . . . . . . . . . . . . . . . . . 169

94. Test Case 3 - Storage Group Routine Extract . . . . . . . . . . . . . . . . . . . . . . . . 169

95. Test Case 3 - ISMF Storage Group Volume Definition . . . . . . . . . . . . . . . . . . 170

96. Test Case 3 - DFSMSdss CONVERTV JCL . . . . . . . . . . . . . . . . . . . . . . . . . . 170

97. Test Case 3 - DFSMSdss CONVERTV Output. . . . . . . . . . . . . . . . . . . . . . . . 171

98. Test Case 3 - ISMF Test against the ACDS . . . . . . . . . . . . . . . . . . . . . . . . . . 171

99. Test Case 3 - ISMF Test against the Updated SCDS . . . . . . . . . . . . . . . . . . .172 100.Test Case 3 - CREATE STOGROUP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 101.Test Case 3 - CREATE DATABASE Extract . . . . . . . . . . . . . . . . . . . . . . . . . 173 102.Test Case 3 - CREATE TABLESPACE Extract . . . . . . . . . . . . . . . . . . . . . . . 173 103.Test Case 3 - ISPF Data Set List Display. . . . . . . . . . . . . . . . . . . . . . . . . . . . 173

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IBM 5655-DB2, 5695-DF1 manual Xii Storage Management with DB2 for OS/390

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.