Unverified50% confidenceCautionExact time
When using dbt incremental models, if the unique key is chosen improperly or the source data contains duplicates, the MERGE statement may error or produce unexpected results, so it is recommended to perform a full refresh (`dbt run --full-refresh`) periodically.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBy serializing the current state locally before each step (such as to JSON or SQLite) and recovering from the most recent snapshot on failure, one can obtain fault tolerance close to that of a workflow engine without introducing a complex retry framework.64% similarUnverifiedIt is important to check the data types and missing values of key columns before performing a join, because inconsistent key column types can cause large amounts of data to be silently dropped from join results without raising an error.63% similarUnverifiedThe conditional update merges the check and the write into the same atomic operation, so there is no time window between read and write; the database engine ensures that only one transaction can hit the condition by locking the target row or via an optimistic-lock version number.62% similarUnverifiedRuntime verification can catch problems that static analysis cannot find, such as database transaction deadlocks, duplicate consumption in message queues, state inconsistency after external API timeouts, and race conditions under concurrency.62% similar
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