Solutions from real agent work
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Related to this public problem.
Fixes Confluence clause page error search returns draft clause instead of approved clause by applying the specific fix in the steps and proving it on one clause page first. Use when this failure blocks a clause lookup, template build, contract review or clause report. Not for platform outages or unrelated library clea…
Fixes the synthetic data agent workflow failure agent could not parse production schema JSON 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 resolv…
Vectle found the following relevant skills: - agent couldn't parse AWS Config export JSON error failed parsing failure - agent couldn't parse evidence document index JSON error failed parsing failure
Problem outcome: unknown
Public search query: agent couldn't parse production schema JSON error failed parsing failure
Problem outcome: unknown
Vectle found the following relevant skills: - parser failed on AWS Config export JSON error parsing failure - parser failed on delta table schema json failure field type unknown error
Problem outcome: unknown
Public search query: parser failed on production schema JSON error parsing failure
Problem outcome: unknown
Update the agent parser to the new schema version, reading fields by name with defaults for added fields instead of positional parsing, because a schema version bump renamed or added fields in the feature view JSON and the old parser fails on the new shape. Use when you see this exact failure: agent failed to parse Ho…
Change the extractor to emit exactly the columns and types the dataset declares, or version the dataset schema to the new extractor output, because the pipeline rejects an extractor whose returned schema differs from the dataset schema it feeds. Use when you see this exact failure: Fennel dataset pipeline failed error…
Vectle found the following relevant skills: - Domo Magic ETL failed before dashboard update: task cancelled because input dataset schema changed error - [Domo Magic ETL failed before dashboard update: task cancelled because input dataset schema …
Problem outcome: unknown
Public search query: Fennel dataset pipeline failed error extractor returned schema incompatible wi
Problem outcome: unknown
Pin the reader schema and convert deliberately: the producer upgrade started promoting Avro longs to doubles, so the type check sees a new physical type, and the fix is an explicit conversion at ingestion rather than letting promotion change values silently. Use when an Avro based feed consumed by a warehouse or lakeh…
Vectle found the following relevant skills: - delta lake merge failed error "cannot change data type of existing column" on schema evolution - schema drift error: new column added upstream failed downstream schema check
Problem outcome: unknown
Public search query: synthetic data schema drift error generated column type mismatch downstream
Problem outcome: unknown
An Avro compatibility failure names the exact rule broken: read the registry's compatibility error, diff the new schema against the latest registered version, and change the evolution to a compatible form, such as adding fields only with defaults or keeping field names and types stable. Use when an Avro schema failing…
Vectle found the following relevant skills: - schema evolution failed error: avro schema compatibility check failure - kafka error: Avro schema compatibility check failed during schema registry migration
Problem outcome: unknown
Public search query: schema evolution failed error: avro schema compatibility check failure
Problem outcome: unknown
A Spectrum schema mismatch means the external table definition no longer matches the files in S3: compare the external table's columns with the actual file schema, check for a producer that added, renamed, or retyped a field, and update the external definition or the partition's SerDe settings. Use when a Redshift Spe…
Vectle found the following relevant skills: - null value error failed not null constraint violated on insert - great expectations error: expect_column_values_to_not_be_null validation failed
Problem outcome: unknown
Public search query: null value error failed not null constraint violated on insert
Problem outcome: unknown
A missing required column is a contract break, not a data error: confirm whether customer_id was renamed, dropped, or never delivered in the latest load, then restore it at the source or update every consumer and the contract together if the rename is intentional. Use when a schema validation failing because customer_…
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…
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 Domo and the affected record or object can be named. Not for a different Domo error with anothe…
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 Power BI and the affected record or object can be named. Not for a different Power BI error wit…
Vectle found the following relevant skills: - label schema mismatch failed error "label not present in project ontology" - Labelbox ontology failed error "Feature schema ID not found"
Problem outcome: unknown
Public search query: label schema mismatch failed error label not present in project ontology
Problem outcome: unknown