Answer:
In the context of DB2, DBD stands for Database Descriptor. It is an internal object that contains information about a specific database in the DB2 subsystem.
Think of it as a blueprint or a map of the database. It stores details about the database's structure and objects, including:
- Tablespaces: Storage areas where the database's data resides.
- Tables: The actual tables within the database and their columns.
- Indexes: Structures that speed up data retrieval.
- Table Check Constraints: Rules that ensure data integrity.
- Referential Integrity Constraints: Rules that define relationships between tables.
Key points about DBDs:
- Unique per database: Each database within the DB2 system has exactly one corresponding DBD.
- Internal object: DBDs are not directly accessible to users; DB2 manages them internally.
- Critical for operations: DB2 uses DBDs for various operations, including data access, query optimization, and utilities.
- Dynamic updates: DB2 automatically updates the DBD whenever the corresponding database is created or modified.
Why are DBDs important?DBDs play a crucial role in DB2's operation:
- Efficiency: They help DB2 quickly locate and access database objects, improving performance.
- Data integrity: They store information about constraints, ensuring that data remains consistent and valid.
- Concurrency: They help manage concurrent access to the database, preventing conflicts between different users or applications.
Managing DBDs:
While users don't directly interact with DBDs, it's important to be aware of them, especially for large databases. Large DBDs can potentially impact performance. DB2 provides utilities to monitor and manage DBD size, such as the `MODIFY RECOVERY` utility, which can reclaim storage in the DBD.
In summary, the DBD is a fundamental component of DB2 that stores essential information about a database's structure and objects. It plays a vital role in ensuring efficient data access, maintaining data integrity, and managing concurrency.