The amount of time to cover with all logs (Time 1 up to Current Time)

The amount of time to cover with active logs (Time 2 up to Current Time)

Start

Time

Time

Current

Time

1

2

Time

 

 

DB2 LOG

 

 

 

 

ACTIVE LOG

 

 

ARCHIVE + ACTIVE LOG

Figure 5. DB2 Log and Its Data Sets

3.6.3 Archive Logs

Archive log data sets are DB2 managed backups of the active log data sets. Archive log data sets are created automatically by DB2 whenever an active log is filled. They may also be created with the -ARCHIVE command for operational requirements. Additional circumstances may trigger the archiving process. The DB2 for OS/390 Administration Guide, SC26-8957,describes these in detail.

DB2 supports dual archive logs and it is recommended to use dual archive log data sets for all production environments. When dual archive log is specified, during the archiving, the primary active log is read and two archive log data sets are written in parallel. For better archive log availability, customers should define both copies on different devices (or SMS classes) to physically separate the dual data sets.

Archive log data sets are required for any recovery that spans a period of time in excess of the time covered by the active logs. Archive log data sets are sequential data sets that can be:

Defined on disk or on tape

Migrated

Deleted with standard procedures

Archive log data sets are required for data integrity. Procedures are required to ensure that archive log data sets are only deleted when they are not going to be required anymore.

This book contains references related to archive log deletes, in the following sections:

“Deleting Image Copies and Archive Logs” on page 21.

“Impact of Log Size on Backup and Recovery Strategy” on page 18.

DB2 Storage Objects 19

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IBM 5695-DF1, 5655-DB2 manual DB2 LOG Active LOG Archive + Active LOG, Archive Logs

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.