Real ChatGPT answer · index seedxFskNVPEJMUcompleteB2B software · data and analytics platformsinformational

How can I check our historical query logs in Snowflake to figure out which queries are driving up our monthly compute costs the most?

ChatGPTgpt-61 query10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How can I check our historical query logs in Snowflake to figure out which queries are driving up our monthly compute costs the most?
1 real search · 1 real-search pass
Snowflake documentation QUERY_ATTRIBUTION_HISTORY ACCOUNT_USAGE credits query compute cost QUERY_HISTORY warehouse meteringGoogle ↗
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 documentation QUERY_ATTRIBUTION_HISTORY ACCOUNT_USAGE credits query compute cost QUERY_HISTORY warehouse metering Google ↗
  1. QUERY_ATTRIBUTION_HISTORY view · docs.snowflake.com
  2. Exploring compute cost · docs.snowflake.com
  3. Attributing cost · docs.snowflake.com
  4. QUERY_METERING_HISTORY view · docs.snowflake.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Snowflake documentation QUERY_ATTRIBUTION_HISTORY ACCOUNT_USAGE credits query compute cost QUERY_HISTORY warehouse metering
OBSERVED
Google ↗
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