Real ChatGPT answer · index seedxrQS0RdWvLccompleteB2B software · data and analytics platformsinformational
How does query result caching actually work in Snowflake, and why are some of my identical repeat queries still spinning up new compute resources?
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Fan-out diagram
The searches the AI actually ran for this prompt.
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How does query result caching actually work in Snowflake, and why are some of my identical repeat queries still spinning up new compute resources?
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
Snowflake documentation persisted query results cache conditions reuse query result cache warehouse suspend identical query Google ↗
Snowflake documentation query result reuse conditions 24 hours USE_CACHED_RESULT Google ↗
- Using Persisted Query Results · docs.snowflake.com
- Using Persisted Query Results · docs.snowflake.com
- Optimizing the warehouse cache · docs.snowflake.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Snowflake documentation persisted query results cache conditions reuse query result cache warehouse suspend identical query OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Snowflake documentation query result reuse conditions 24 hours USE_CACHED_RESULT OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |