Secondary Index Builder for IMS Modernization Guide

Secondary Index Builder for IMS automates the process of building and maintaining secondary indexes for IMS databases. It reduces the manual effort and time required for index maintenance, especially after database reorganizations or backups.

The tool uses high-speed processing techniques to build indexes efficiently. It analyzes the database and generates the necessary index entries, optimizing performance and reducing the impact on system resources.

Yes, the tool supports both IMS full function databases and HALDB databases, providing a consistent approach to index management across different database types.

The tool can be integrated into existing database maintenance processes, such as database reorganizations and backup/restore procedures, to automatically rebuild indexes as part of these operations.

The tool typically uses JCL (Job Control Language) to define and execute index building jobs. Configuration files specify parameters such as database names, index names, and processing options.

While specific APIs are not typically exposed for direct programmatic access, the tool can be invoked from other applications or scripts using standard z/OS batch processing techniques.

The main system components include the index builder engine, the database access modules, and the control file processor. These components communicate through internal program calls and data transfer mechanisms.

The tool directly accesses IMS databases using standard IMS interfaces. It reads database records and writes index entries to the appropriate index datasets.

The tool uses standard z/OS security mechanisms for authentication and authorization. It relies on RACF or similar security products to control access to databases and datasets.

By automating index maintenance, the tool reduces the need for manual intervention, saving time and resources. It also improves database performance by ensuring that indexes are always up-to-date and optimized.

The tool minimizes the impact of index building on system resources by using efficient processing techniques and optimizing I/O operations. This allows index maintenance to be performed more frequently without disrupting other applications.

The tool helps to reduce the risk of data inconsistencies by ensuring that indexes are always synchronized with the database. This improves data quality and reduces the likelihood of application errors.

The tool leverages z/OS security features, such as RACF, to control access to databases and datasets. It supports authentication methods provided by z/OS, including user IDs and passwords, as well as multi-factor authentication.

The tool uses an access control model based on z/OS security profiles. Access to databases and datasets is controlled by defining appropriate security rules in RACF or similar security products.

The tool does not typically encrypt data at rest or in transit. However, it can be configured to use encryption features provided by IMS or z/OS to protect sensitive data.

The tool provides audit logging capabilities to track index building activities. Audit logs record information such as user IDs, timestamps, and database names, which can be used for security monitoring and compliance purposes.

The tool is typically administered through JCL and control files. Configuration parameters are specified in these files, which are then submitted to z/OS for processing.

User management is handled by z/OS security products such as RACF. The tool relies on these products to authenticate users and control access to databases and datasets.

Key configuration parameters include database names, index names, processing options, and dataset names. These parameters are specified in the control files used to invoke the tool.

The tool provides monitoring and logging capabilities through z/OS system logs and audit logs. These logs can be used to track index building activities and identify potential problems.