Real ChatGPT answer · index seedQPYzApxi0q4completeB2B software · data and analytics platformsinformational
My professor mentioned optimizing Snowflake warehouse sizes, but how do I actually know when to scale up versus scaling out based on query history?
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The searches the AI actually ran for this prompt.
SEED QUERY
My professor mentioned optimizing Snowflake warehouse sizes, but how do I actually know when to scale up versus scaling out based on query history?
1 real search · 1 real-search pass
Snowflake documentation warehouse sizing scale up scale out query history queued overload bytes spilled multi-cluster warehouseGoogle ↗
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.
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ChatGPT1 real searches · gpt-6
Snowflake documentation warehouse sizing scale up scale out query history queued overload bytes spilled multi-cluster warehouse Google ↗
- Warehouse considerations · docs.snowflake.com
- Monitoring warehouse load · docs.snowflake.cn
- Multi-cluster warehouses · docs.snowflake.com