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We keep getting slow query warnings on our Looker dashboards at my internship. What are the best practices for performance tuning LookML models in 2024?
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We keep getting slow query warnings on our Looker dashboards at my internship. What are the best practices for performance tuning LookML models in 2024?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
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Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
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Looker documentation optimize LookML performance aggregate awareness persistent derived tables symmetric aggregates query performance 2024 Google ↗
Looker best practices dashboard performance tuning SQL Runner System Activity slow queries documentation Google ↗
- Using the Explore query tracker and Performance panel to monitor query performance | Looker | Google Cloud Documentation · docs.cloud.google.com
- Derived tables in Looker | Google Cloud Documentation · docs.cloud.google.com
- Considerations when building performant Looker dashboards | Google Cloud Documentation · docs.cloud.google.com
- Optimize Looker performance | Google Cloud Documentation · docs.cloud.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Looker documentation optimize LookML performance aggregate awareness persistent derived tables symmetric aggregates query performance 2024 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Looker best practices dashboard performance tuning SQL Runner System Activity slow queries documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |