Oracle Memory


Oracle Memory shows memory-related information for a monitored Oracle server. Use it to investigate memory pressure, workload behavior, and configuration symptoms.

Mini DBA Oracle memory

Workflow

  1. Open Memory.
  2. Review current and recent memory metrics.
  3. Compare with Activity, Queries, and Waits.
  4. Use Health Checks for broader configuration review.

How To Review Oracle Memory

Oracle memory evidence helps explain cache behavior, workload pressure, and configuration symptoms. Use the Memory page when performance changes are broad, many sessions are affected, or wait evidence suggests memory-related pressure. Memory data is most useful when compared with query, wait, and activity evidence from the same time window.

Start by checking whether the symptom affects one SQL statement or the whole instance. A single expensive statement may need SQL tuning, statistics review, or indexing work. Broad pressure across many sessions may point to memory configuration, workload growth, connection count, or competing host processes.

Do not change Oracle memory settings based on one snapshot. Capture the workload context, compare with Oracle Waits, and review Oracle Health Checks before planning a change. On systems with strict licensing or operational controls, confirm which Oracle features and views your organization is allowed to use.

Oracle Memory FAQ

Does high memory use always mean a problem?

No. Database engines are designed to use memory for caching. The concern is pressure, paging, poor cache behavior, or user-visible waits.

Should I increase memory first?

Not automatically. A query or workload issue can cause memory pressure, and increasing memory may hide rather than fix the cause.

Why do host metrics matter?

Operating system memory, paging, and process metrics can reveal pressure outside the database. See Host OS Login.

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