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Product Overview

The architecture of EZ-Reorg for IDMS comprised three main components: a control process, a reorganization engine, and a data access module. The control process managed the overall workflow, including job scheduling and error handling. The reorganization engine performed the actual data manipulation tasks, such as index rebuilds and data compression.

The data access module handled interactions with the CA IDMS database, ensuring data consistency and integrity. Communication between these components was primarily through internal interfaces and data structures within the z/OS environment. The tool utilized JCL for job submission and configuration files to define reorganization parameters.

Security was integrated with CA IDMS's security features. The tool is not supported; EZ-DB for IDMS is the replacement.

Frequently Asked Questions

What was the primary function of EZ-Reorg for IDMS?

EZ-Reorg for IDMS allowed online reorganization of CA IDMS databases. This enabled continuous availability during database maintenance. The tool provided features for index rebuilds, data compression, and schema modifications without taking the database offline.

How did EZ-Reorg for IDMS minimize downtime?

EZ-Reorg for IDMS was designed to minimize downtime during database maintenance. It allowed for concurrent read and update operations while reorganizing the database. This was achieved through a combination of locking mechanisms and transaction management.

What types of reorganization tasks did EZ-Reorg for IDMS support?

EZ-Reorg for IDMS supported various reorganization tasks, including index rebuilds, data compression, and schema modifications. These tasks could be performed individually or in combination, depending on the specific needs of the database administrator.

How did EZ-Reorg for IDMS integrate with CA IDMS?

EZ-Reorg for IDMS was integrated with CA IDMS. It utilized IDMS's internal APIs and data structures to perform reorganization tasks. The tool interacted directly with the IDMS database engine to ensure data consistency and integrity.

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