Real ChatGPT answer · index seedjiQRP8FKdZIcompleteB2B software · data and analytics platformsinformational
Can you explain how to use Looker system activity explores to find which specific users are running unoptimized queries that are locking up our database right now?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you explain how to use Looker system activity explores to find which specific users are running unoptimized queries that are locking up our database right now?
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Looker documentation System Activity History Explore fields runtime user SQL query status Google ↗
Looker System Activity Explores History query performance dashboard documentation Google ↗
- Monitoring Looker usage with System Activity Explores | Google Cloud Documentation · docs.cloud.google.com
- Monitoring Looker usage with System Activity Explores | 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 System Activity History Explore fields runtime user SQL query status OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Looker System Activity Explores History query performance dashboard documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |