Real ChatGPT answer · index seedfeDGK5LtflAcompleteB2B software · data and analytics platformscommercial
Our Looker dashboards are running terribly slow lately and I need proven performance tuning tips that a part-time data engineer can easily apply this weekend.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Our Looker dashboards are running terribly slow lately and I need proven performance tuning tips that a part-time data engineer can easily apply this weekend.
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.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Google Cloud Looker documentation dashboard performance best practices caching aggregate tables SQL Runner system activity query performance Google ↗
Looker documentation aggregate awareness datagroups persist_for caching dashboard performance optimization Google ↗
- Considerations when building performant Looker dashboards | Google Cloud Documentation · docs.cloud.google.com
- Optimize Looker performance | Google Cloud Documentation · docs.cloud.google.com
- Using the Explore query tracker and Performance panel to monitor query performance | Looker | 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 |
|---|---|---|---|---|---|---|---|
Google Cloud Looker documentation dashboard performance best practices caching aggregate tables SQL Runner system activity query performance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Looker documentation aggregate awareness datagroups persist_for caching dashboard performance optimization OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |