Real ChatGPT answer · index seedcxObtIs1ohMcompleteB2B software · data and analytics platformscomparison
Is implementing row level security natively in Snowflake cheaper than handling it upstream in our Looker semantic layer?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is implementing row level security natively in Snowflake cheaper than handling it upstream in our Looker semantic layer?
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
Snowflake row access policies cost performance overhead documentation row access policy evaluation cost Google ↗
Looker access_filter user attributes access grants row level security documentation Google ↗
- Understanding row access policies · docs.snowflake.com
- Access control and permission management | Looker | Google Cloud Documentation · docs.cloud.google.com
- Understanding row access policies · docs.snowflake.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Snowflake row access policies cost performance overhead documentation row access policy evaluation cost OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Looker access_filter user attributes access grants row level security documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |