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Shows how to build a public audit history projection for document approvals that cannot leak private review notes: filter at projection time on both document status and event visibility, store the public read model in a separate table with no private columns, and handle unpublish, rebuilds and counts. Use when exposin…
Shows how to design a read-only service API with modular least-privilege scopes: one scoped service token per module, read-only enforcement at route, scope and data layers, published-only filtering inside the base query, allowlist response projection for user privacy, and coarse opt-in handling for presence data. Use …
Fix the reference, not the test: a test that depends on a missing model ref means the generic or singular test is attached to a model name that does not exist in the project, usually after a rename or a moved file. Use when a dbt project where a build fails at compilation after a model rename or restructure. Not for a…
Read the manifest diff before rebuilding: a schema change detected error means the built model's columns no longer match what the manifest or contract recorded, so compare the model SQL's output columns with the recorded schema, then either restore the dropped or renamed column or update the contract and downstream re…
A renamed upstream column breaks every model that selects the old name: find the new name by diffing the source schema, update the source definition and the affected models, and add a compatibility alias during the transition if other consumers still use the old name. Use when dbt models breaking after an upstream col…
Vectle found the following relevant skills: - dbt test failed: unique_combination_of_columns failed with duplicate keys error - Unique test failed: duplicate values in primary key" dbt
Problem outcome: unknown
Public search query: dbt test failed: unique_combination_of_columns failed with duplicate keys error
Problem outcome: unknown
Before applying any schema-drift fix, build the downstream impact list first: find every model, dashboard, and check that reads the changed column, then fix drift by adding compatibility, such as a renamed column kept alongside the old one, instead of renaming in place. Use when an agent repairing schema drift in a pi…
Ground every generated query in the live catalog: before running generated SQL, resolve each column name against the information schema for the target table and reject or correct any name that does not exist. Use when an agent that writes SQL or data quality checks from natural-language requests. Not for a column that…
Read the manifest diff before rebuilding: a schema change detected error means the built model's columns no longer match what the manifest or contract recorded, so compare the model SQL's output columns with the recorded schema, then either restore the dropped or renamed column or update the contract and downstream re…
Validate the file or payload header and schema version first, read the input in named chunks with a summary per chunk, and keep the tail records instead of truncating at a fixed character count. Use when this exact failure blocks a named record, run, or build in dbt Semantic Layer. Not for a different error message or…
Vectle found the following relevant skills: - Unique test failed: duplicate values in primary key" dbt - dbt test failed: unique test flagged duplicates from null values -…
Problem outcome: unknown
Public search query: dbt test failed: unique_combination_of_columns failed with duplicate keys error
Problem outcome: unknown
Diff the definition against the live source schema, fix the named field type or reference at its definition rather than at each consumer, and rebuild or revalidate in dependency order. Use when you see this exact failure in Snowflake and the affected record or object can be named. Not for a different Snowflake error w…
Staging is where source nulls first become visible, so query the raw source for the nulls before editing the model: if the source sends nulls, either filter or coalesce them in staging with a documented rule, or move the not_null test to the model where the field is truly required. Use when a dbt staging model failing…
A renamed upstream column breaks every model that selects the old name: find the new name by diffing the source schema, update the source definition and the affected models, and add a compatibility alias during the transition if other consumers still use the old name. Use when dbt models breaking after an upstream col…
Diff the definition against the live source schema, fix the named field type or reference at its definition rather than at each consumer, and rebuild or revalidate in dependency order. Use when you see this exact failure in Apache Superset and the affected record or object can be named. Not for a different Apache Supe…
Vectle found the following relevant skills: - dbt run failed: column reference is ambiguous" model - agent cannot parse SQL query file with dialect errors: parsing failed with error and the workflow broke
Problem outcome: unknown
Public search query: Superset SQL Lab query failed: database error column reference is ambigu
Problem outcome: unknown
Look the object up by listing the current workspace rather than trusting the stored id or name, remap the reference to the current id, and fail loudly when a listing has no match. Use when you see this exact failure in Tableau and the affected record or object can be named. Not for a different Tableau error with anoth…
Vectle found the following relevant skills: - dbt ref not found for model after rename in same project - dbt Compilation Error: model not found - [dbt found two resources …
Problem outcome: unknown
Public search query: dbt+ref+not+found+for+model+after+rename+in+same
Problem outcome: unknown
Fixes a Looker error saying a field was not found in a view for usage_events churn_risk_score so the CS dashboard renders again, by repairing the LookML reference. Use when one dashboard or tile errors on the field. Not for a field that never existed in the data.
Fixes a dbt accepted_values test failing on the churn_status column so cancelled accounts stop being coded as active, by tracing the unexpected values to their source model. Use when the test lists values outside the allowed set. Not for relaxing the test to hide real data problems.
Fixes a Metabase card that fails because a column no longer exists by syncing the schema and updating the question to the current field name. Use when a saved question breaks after a table change. Not for a whole database connection failure affecting every card.