Why does Looker dashboard performance tuning take so long and what are the fastest workarounds to keep my team happy?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why does Looker dashboard performance tuning take so long and what are the fastest workarounds to keep my team happy?
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
Looker dashboard performance best practices query caching dashboard tiles concurrency Looker documentation Google ↗
Google Cloud Looker performance optimization dashboard troubleshooting PDT query performance official documentation Google ↗
- Considerations when building performant Looker dashboards | 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
- Optimize Looker performance | Google Cloud Documentation · docs.cloud.google.com
- Admin settings - System Activity dashboards | 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 |
|---|---|---|---|---|---|---|---|
Looker dashboard performance best practices query caching dashboard tiles concurrency Looker documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Google Cloud Looker performance optimization dashboard troubleshooting PDT query performance official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |