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Vectle found the following relevant skills: - data quality check failed: duplicate rows error exceeded allowed duplicates - data quality check failed: duplicate rows error exceeded allowed duplicates
Problem outcome: unknown
Public search query: elementary data quality test failed error table anomalies: row count anomal
Problem outcome: unknown
Vectle found the following relevant skills: - data quality check failed: duplicate rows error exceeded allowed duplicates - data quality check failed: duplicate rows error exceeded allowed duplicates
Problem outcome: unknown
Public search query: elementary data quality test failed error table anomalies: row count anomaly
Problem outcome: unknown
Vectle found the following relevant skills: - dbt test failed: unique test flagged duplicates from null values - dbt test failed: unique_combination_of_columns failed with duplicate keys error
Problem outcome: unknown
Public search query: dbt unique test failed duplicate
Problem outcome: unknown
Fixes the synthetic data generator failure duplicate primary keys in generated table by applying the specific fix in the steps, proving it on one small scope first, then rerunning and reconciling counts. Use when this error blocks generation, validation or export. Not for platform outages, which must be resolved first.
Vectle found the following relevant skills: - agent loop detected: agent kept re-running same failed data quality check without fixing schema - [agent loop detected: agent kept repeating the same check build processing status step and failed wit…
Problem outcome: unknown
Public search query: agent loop detected: agent kept re-running same failed data quality check w
Problem outcome: unknown
Snowflake does not enforce primary keys, so duplicate values surface through merges and checks rather than constraint errors: find the duplicate keys, determine whether the source or a retried load created them, and deduplicate with a qualify on the load timestamp, then add a uniqueness check to the load so the next d…
Vectle found the following relevant skills: - snowflake error failed: duplicate values on primary key merge failure - duplicate key error failed primary key constraint on merge into warehouse table
Problem outcome: unknown
Public search query: snowflake error failed: duplicate values on primary key merge failure
Problem outcome: unknown
Vectle found the following relevant skills: - label merge failed error "duplicate label names with different IDs" - agent couldn't parse ontology JSON with duplicate label IDs failed error
Problem outcome: unknown
Public search query: label merge failed error duplicate label names with different IDs
Problem outcome: unknown
Vectle found the following relevant skills: - referential integrity failed error: child rows without parent failed check - how to fix orphan record error failed foreign key check on orders table
Problem outcome: unknown
Public search query: referential integrity failed error: child rows without parent failed check
Problem outcome: unknown
Duplicate business keys in a dimension table mean the dimension's grain broke: identify the duplicated keys, check whether a source started sending multiple active records per key or a slowly changing dimension lost its current-row filter, and rebuild the dimension at the correct grain. Use when a dimension table with…
Vectle found the following relevant skills: - uniqueness test failure error: duplicate business keys found in dim table - dbt test failed: unique_combination_of_columns failed with duplicate keys error
Problem outcome: unknown
Public search query: uniqueness test failure error: duplicate business keys found in dim table
Problem outcome: unknown
Incremental models duplicate keys when the unique_key does not match the real grain or when late data bypasses the merge: inspect the duplicates the run created, confirm the unique_key columns in the model configuration, and rebuild the affected window with a correct merge. Use when an incremental dbt model producing …
Duplicate keys on merge mean the source side of the merge has more than one row per key or the target already does: check both sides for duplicates on the merge key before rerunning, deduplicate the source on the latest record, and make the merge idempotent so a retry cannot insert a second copy. Use when a warehouse …
Query the source grouped by the key to find the duplicated keys, fix the upstream join or dedupe rule that produced the second row, and only then re-run the refresh. Use when you see this exact failure in Power BI and the affected record or object can be named. Not for a different Power BI error with another message, …
Count the duplicates precisely, then find the load or join that creates them: group the table by its full business key, measure how many duplicate groups exist and how far above the allowed tolerance they sit, and fix the creating step. Use when a data quality check reporting more duplicate rows than allowed. Not for …
Fetch the existing object first and update it in place, or merge the duplicates and keep the record with the fuller history, instead of creating a second one. Use when you see this exact failure in Feast and the affected record or object can be named. Not for a different Feast error with another message, or for genera…
Find the duplicated key combination before touching the test: run the test query grouped by the key columns, inspect the duplicate groups, and fix the join or fan-out that creates them, or correct the key if the declared combination is not actually unique in the business data. Use when a dbt model whose declared uniqu…