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Query limits help control resource usage by restricting the time and size of query execution. They prevent excessive memory consumption and long‑running queries that can impact overall system performance.

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Why use query limits

  • Avoid resource overloads: Large queries can consume significant memory and CPU.
  • Improve stability: Prevents the system from being blocked by expensive queries.
  • Ensure fairness: Keeps dashboards responsive for all users.

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What query limits can be set

You can define limits for:
  • Processing time: Maximum time allowed for a query to run.
  • Result size:
    • Intermediate limit: Maximum number of results per retrieval step.
    • Transient limit: Maximum cumulative results across all steps.
  • Concurrent Mdx queries: Maximum number of Mdx queries that are process at the same time.

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When to use query limits

Query limits are most effective when:
  • Dashboards contain complex widgets that require a high number of queries.
  • Users run queries with large cross‑joins.
  • You need to prevent accidental resource overloads.
  • You need to restrict the resource usage of group of users.
Avoid setting limits too low, as this may cause valid queries to fail.