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Data Archiving for Adabas

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Product Overview

The architecture of Data Archiving for Adabas comprises several key components: the Archive Manager, the Data Extractor, and the Archive File Handler. The Archive Manager is the central control component, responsible for scheduling and managing archive jobs. It interacts with the mainframe job scheduler to execute archiving tasks.

The Data Extractor retrieves data from the Adabas database based on the criteria defined in the configuration files. It uses Adabas APIs to access and extract the data. The Archive File Handler writes the extracted data to archive files, typically flat files stored on the mainframe.

Communication between these components occurs through JCL and configuration files. The system uses Adabas databases for active data and flat files for archived data. The ARCHIVE command initiates the archiving process, using parameters to specify the Adabas file, selection criteria, and archive destination.

The RETRIEVE command accesses archived data, and the VERIFY command ensures data integrity. The system integrates with the mainframe security system for authentication and access control, using security profiles for user permissions. Audit logging tracks archive and retrieval operations.

The system does not expose REST or SOAP APIs, relying on native interfaces for integration with Adabas and other mainframe components. The configuration files define archive parameters, data mapping, and security settings. The system supports various Adabas versions and is designed to minimize disruption to online operations.

Frequently Asked Questions

What is the primary function of Data Archiving for Adabas?

Data Archiving for Adabas facilitates the movement of inactive data from online Adabas databases to archive files. This process reduces the size of active databases, improving performance and storage costs. Archived data remains accessible for retrieval and reporting.

What criteria can be used to select data for archiving?

Data Archiving for Adabas supports archiving data based on various criteria, including date, data content, and database structure. Users can define custom archive strategies to meet specific business requirements. The system provides flexibility in selecting data for archiving.

How is archived data accessed?

Archived data can be retrieved using the Adabas query language or through custom applications. The system provides tools to search and access archived data. Data integrity is maintained during the retrieval process.

How does Data Archiving for Adabas integrate with existing systems?

Data Archiving for Adabas integrates with existing Adabas environments, minimizing disruption. The archiving process is designed to be non-intrusive, ensuring minimal impact on online operations. The system supports various Adabas versions.

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