•The naming standard for the data sets is shown in 3.8.5, “Image Copy Names” on page 24, using as a high level qualifier the subsystem identifier, followed by IC. This name includes three codes in the second qualifier:

Col 1 P or S to indicate primary or secondary copy

Col 2 S or H to indicate standard or critical copy

Col 3 D, W or M to indicate daily, weekly or monthly copy

•Storage Class, Management Class and Storage Group constructs are defined for all image copies on all subsystems as specified in 7.5, “Image Copies” on page 71.

•Primary image copies are placed on SGDBIC or SGDBICH

•Secondary image copies are placed on SGDBARCH

•The ACS routines from the example in B.2, “Archive Logs” on page 191 will be extended to support the image copy data sets.

B.3.1 Storage Class

Two additional Storage Classes were defined:

•SCDBIC for data sets with standard performance requirements

•SCDBICH for data sets with high performance requirements

Figure 128 on page 192 shows an extract of the Storage Class ACS routine used in the previous tests, now including the separation of image copies to provide different levels of performance, depending upon the naming convention:

/************************************************/

/* STORAGE CLASS

*/

/* FILTLIST DEFINITIONS

*/

/************************************************/

FILTLIST DBSYS

INCLUDE(DB2*.BSDS*.**,

 

DB2*.LOGCOPY*.DS*)

FILTLIST DBARCH

INCLUDE(DB2*.ARCHLOG*.**)

FILTLIST ICHIGH

INCLUDE(DB2%IC.PH*.T*.*.A*)

FILTLIST ICSTD

INCLUDE(DB2%IC.S*.T*.*.A*,

 

DB2%IC.%S*.T*.*.A*)

/************************************************/

/* SELECTION ROUTINE FOR DB2 RECOVERY DATA SETS */ /************************************************/

SELECT

WHEN (&DSN = &DBSYS)

SET &STORCLAS = 'SCDBACTL' WHEN (&DSN = &DBARCH)

SET &STORCLAS = 'SCDBARCH' WHEN (&DSN = &ICSTD)

SET &STORCLAS = 'SCDBIC' WHEN (&DSN = &ICHIGH)

SET &STORCLAS = 'SCDBICH' OTHERWISE SET &STORCLAS = ''

END

Figure 134. Storage Class Routine Extract Incorporating Image Copies

Test Cases for DB2 Recovery Data Sets 195

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IBM 5695-DF1, 5655-DB2 manual Filtlist Ichigh, Filtlist Icstd
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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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