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Product Overview

The architecture of Eclipse iCheck is centered around its batch processing nature on the z/OS platform. The main components include the iCheck program, the JCL job, and the control cards. The iCheck program is the core executable that performs the database analysis.

The JCL (Job Control Language) defines the execution environment, including the input datasets, the program to be executed, and the output report destinations. The control cards provide the configuration parameters, specifying the IMS databases to be checked and the types of errors to be reported. These components communicate through the z/OS operating system.

The iCheck program uses IMS APIs to access and analyze the database structures. The tool reads database blocks, examines segment pointers, and validates data relationships. The primary storage mechanism is the IMS database itself.

There are no specific network requirements or ports. Security relies on z/OS security features, such as RACF, for access control. The tool is not supported; consider alternatives like BMC AMI Database Repair for IMS, which offers similar capabilities.

Frequently Asked Questions

What is Eclipse iCheck used for?

Eclipse iCheck is a tool designed to identify and report errors within IMS database blocks, segments, and pointers. It is part of the Eclipse Reorganization Utilities suite. The tool helps in maintaining data integrity by detecting inconsistencies.

What types of errors does iCheck identify?

iCheck analyzes IMS databases to identify issues such as invalid pointers, orphaned segments, and data inconsistencies. It provides reports detailing the location and nature of these errors, which aids in database maintenance and repair.

What is the main use case for Eclipse iCheck?

The primary use case is to ensure data integrity within IMS databases. By identifying and reporting errors, iCheck helps prevent data corruption and ensures the reliability of applications that rely on the IMS data.

When should iCheck be used?

iCheck is typically used as part of a broader database maintenance strategy. It can be run periodically to proactively identify and address potential issues before they impact application performance or data integrity. It is often used before or after database reorganizations.

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