The SAP-recommended strategy is a combination of regular full data backups (daily is common for critical systems) and frequent log backups. This ensures you can recover to any point in time, minimizing data loss, while balancing backup storage requirements and performance impact. Other options leave significant recovery gaps or rely on incomplete methods.

Outdated statistics are a common cause of poor query performance because the SQL optimizer cannot create an efficient execution plan. Updating statistics with a full scan provides the optimizer with current data distribution information, which is a targeted and standard first step. Restarting is disruptive, indiscriminate indexing can hurt write performance, and increasing memory doesn’t address the root cause of a bad plan.

The Row Store in SAP HANA holds row-oriented tables (like system tables, dictionary tables, and some application tables). Consistently high usage suggests this specific memory region is under pressure. A standard administrative response is to consider unloading (paging to disk) less frequently accessed row tables to free up memory, which is managed via table properties or profiles. It is not directly related to disk space, column store, or always normal.

SAP HANA System Replication is the primary high-availability and disaster recovery feature that can be leveraged for a near-zero-dowtime hardware migration. You set up replication from the old system (primary) to the new system (secondary), synchronize them, and then perform a planned takeover at the final cutover window. This keeps the source system operational until the moment of switchover.

The log volume is critical for database operation. If it becomes full, HANA cannot persist new log entries (redo logs). To guarantee data durability and consistency, the database will stop accepting transactions and ultimately shut down to prevent data loss or corruption. This is a severe operational outage, making freeing up space on the log volume a top-priority incident.

The _SYS_REPO technical user role provides the specific privileges needed to work with objects in the HANA repository (like Calculation Views, Procedures, etc.), including activating and modifying them. It is the standard, secure role for development tasks without granting excessive system-wide privileges like SYSTEM or the broader MODELING role, which includes access to data.

The most efficient first step is to consult the SAP Notes for the specific SPS update. These notes document new features, fixed bugs, and crucially, any known breaking changes or required manual adjustments. This provides direct, targeted insight. While checking runtime errors is useful, the note may explain the *why* behind a syntax change. Reverting is a last resort, and the revision history tracks object changes by users, not by the update itself.

The Audit Retention Policy is the specific SAP HANA feature designed for lifecycle management of audit records. It allows administrators to define rules to automatically move audit entries from the active audit trail to archive files (e.g., based on age) and to delete very old entries, preventing uncontrolled growth while maintaining compliance.

The SQL history, accessible via system views like M_SQL_PLAN_CACHE or dedicated history views, is designed to retain a history of executed SQL statements along with performance metrics. It is the primary source for reviewing past SQL activity. The plan cache only holds currently cached plans, the alert log is for system alerts, and expensive statements trace requires specific prior configuration.

The SAP-recommended strategy is a combination of regular full data backups (daily is common for critical systems) and frequent log backups. This ensures you can recover to any point in time, minimizing data loss, while balancing backup storage requirements and performance impact. Other options leave significant recovery gaps or rely on incomplete methods.0