Real ChatGPT answer · index seedzN19l7E6x9wcompleteB2B software · data and analytics platformsinformational
How do I write custom jinja macros in dbt to dynamically generate SQL based on the environment we are deploying to?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I write custom jinja macros in dbt to dynamically generate SQL based on the environment we are deploying to?
1 real search · 1 real-search pass
dbt Jinja custom macros target environment target.name env_var dispatch documentationGoogle ↗
OBSERVEDInstruction
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
dbt Jinja custom macros target environment target.name env_var dispatch documentation Google ↗
- About target variables · docs.getdbt.com
- About env_var function · docs.getdbt.com
- Environment variables · docs.getdbt.com
- About dispatch config · docs.getdbt.com