Modernization Hub

Indexs

Enhanced Definition

An index in mainframe systems is an ordered lookup structure that allows for rapid direct access to records within a dataset or rows within a database table, significantly improving retrieval performance compared to sequential scanning. It acts as a roadmap, pointing directly to the physical location of data based on specific key values.

Key Characteristics

    • Structure: Often implemented as a B-tree or B+-tree structure, particularly for database systems like DB2 and file systems like VSAM Key-Sequenced Data Sets (KSDS), enabling efficient traversal and range searches.
    • Separate Storage: Indexes are typically stored separately from the actual data records or rows, allowing for independent management, backup, and optimization.
    • Types: Can be primary (based on the primary key, often enforcing uniqueness and ordering), secondary (based on non-primary key columns), unique (enforcing uniqueness of values), or non-unique.
    • Automatic Maintenance: For systems like DB2 and VSAM, indexes are automatically maintained (updated, inserted, deleted) by the system whenever the underlying data is modified, ensuring consistency.
    • Overhead: While improving read performance, indexes introduce overhead for write operations (inserts, updates, deletes) as the index structure must also be updated to reflect data changes.

Use Cases

    • DB2 Query Optimization: Essential for accelerating SQL SELECT statements, especially those with WHERE clauses, JOIN conditions, ORDER BY, or GROUP BY clauses, by providing a faster path to relevant data rows.
    • VSAM KSDS Access: The primary index component of a VSAM KSDS enables direct access to records by their key value, making it suitable for online transaction processing (OLTP) applications requiring fast record retrieval.
    • VSAM Alternate Index (AIX): Allows access to records in a VSAM base cluster using a key other than the primary key, supporting multiple logical views or access paths to the same physical data without duplicating the base data.
    • IMS Secondary Indexing: Provides alternative access paths to segments within an IMS database, enabling faster retrieval based on segment fields other than the primary key or facilitating complex logical relationships.

Related Concepts

Indexes are fundamental to the performance of DB2 Tables, VSAM Key-Sequenced Data Sets (KSDS), and IMS Databases. In DB2, the Query Optimizer heavily relies on available indexes to determine the most efficient access path for SQL queries, directly impacting application response times. For VSAM, the index component is integral to the KSDS structure, while Alternate Indexes (AIX) provide additional access flexibility. They are critical for achieving acceptable response times in online transaction processing (OLTP) and batch applications, but require additional DASD storage and introduce write overhead.

Best Practices:
  • Strategic Design: Create indexes judiciously; too many indexes can degrade write performance, while too few can cripple read performance. Index columns frequently used in WHERE, JOIN, ORDER BY, and GROUP BY clauses.
  • Monitor and Tune: Regularly monitor index usage, fragmentation, and performance statistics using tools like DB2 utilities (e.g., RUNSTATS, REORG INDEX) or VSAM LISTCAT. Reorganize indexes to maintain efficiency and reclaim space.
  • Consider Uniqueness: Use UNIQUE indexes to enforce data integrity (e.g., primary keys) and provide the fastest access

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