Real ChatGPT answer · index seedOgGNhKSfy5UcompleteB2B software · data and analytics platformscommercial
How do companies usually audit their Snowflake or Databricks usage to find which team members are writing the most expensive unoptimized SQL queries?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do companies usually audit their Snowflake or Databricks usage to find which team members are writing the most expensive unoptimized SQL queries?
1 real search · 1 real-search pass
Snowflake QUERY_ATTRIBUTION_HISTORY ACCOUNT_USAGE documentation Databricks system.query.history system.billing.usage query cost attributionGoogle ↗
OBSERVED
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 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
Snowflake QUERY_ATTRIBUTION_HISTORY ACCOUNT_USAGE documentation Databricks system.query.history system.billing.usage query cost attribution Google ↗
- Monitor costs using system tables · docs.databricks.com
- Cost Attribution · community.databricks.com
- QUERY_ATTRIBUTION_HISTORY view · docs.snowflake.com
- Attributing cost · docs.snowflake.com
- Website · selectstar.com
- Website · metaplane.dev
- Website · finout.io
- Website · datadoghq.com