My team is struggling to set up incremental refreshes in dbt Cloud using our Postgres source. What is the standard workaround?
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The searches the AI actually ran for this prompt.
SEED QUERY
My team is struggling to set up incremental refreshes in dbt Cloud using our Postgres source. What is the standard workaround?
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
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
dbt-postgres incremental_strategy support merge delete+insert current documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
dbt Postgres incremental models standard workaround incremental refresh dbt Cloud Postgres adapter OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |