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Fixes the Mostly AI failure job failed validation - sensitive column detected 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.
Change the column type through a replace, not a merge: Delta MERGE refuses to change an existing column type, so rewrite the table with the new type in a controlled replace, or land the widened values in a new column and migrate readers. Use when a Delta table updated by MERGE whose source column type changed. Not for…
Fixes the SDV failure DataError: The data contains an invalid type 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.
Compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Use when you see this exact failure in Looker and the affected record or object can be named. Not for a different Looker error with another message, or for general setup …
Print and pin the active data context before validating: load the context from the project's great_expectations directory explicitly, log its mode and datasource list, and fail fast if the datasources do not match the project the agent thinks it is in. Use when an agent running Great Expectations validation from a scr…
Vectle found the following relevant skills: - when agent tried to run great expectations validation agent used wrong data context error failed - agent timed out when agent tried to run great expectations checkpoint on full warehouse scan
A regex expectation failure is a pattern-versus-data argument: extract the values that do not match, lay them beside the pattern, and decide whether the data format changed or the pattern is too narrow, for example missing a country prefix or a new separator. Use when a Great Expectations regex expectation failing on …
Vectle found the following relevant skills: - how to fix great expectations error failed regex match expect_column_values_to_match_regex failure - great expectations validation failed error: column type mismatch string vs int
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…
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_…
Check the batch boundaries before questioning the data URIs expect_table_row_count_to_be_between evaluates the exact batch the validator loaded, so a filtered batch, a sampled batch, or an empty partition fails even when the table itself is healthy. Use when a Great Expectations suite with a table row count expectatio…
Vectle found the following relevant skills: - great expectations expect_table_row_count_to_be_between failed error - great expectations suite failed: expect_column_mean_to_be_between error out of range
A timestamp column arriving as string breaks ordering, filtering, and freshness logic downstream: find the load or writer that started emitting strings, cast explicitly at ingestion with a strict format, and quarantine values that do not parse instead of letting a permissive cast null them silently. Use when a column …
Vectle found the following relevant skills: - column type drift error failed: timestamp column changed to string failure - column type drift error failed: timestamp column changed to string failure
Align the types before validating values: compare the column type in the warehouse information schema with the type the expectation assumes, find where values are written as strings, and cast at the model layer or fix the writer. Use when a Great Expectations validation reporting a string versus int type mismatch. Not…
A batch request that cannot be resolved means the datasource, data connector, or batch identifiers do not line up: print the available batches from the datasource, compare the batch identifiers and splitter settings with the request, and fix the mismatch in names, regex, or data asset path. Use when a Great Expectatio…
Vectle found the following relevant skills: - great expectations error: batch request could not be resolved failed - agent couldn't parse great expectations yaml error failed validation suite load
Vectle found the following relevant skills: - schema mismatch error: parquet schema failed to match warehouse schema - agent failed to merge duplicate labels after schema mismatch error
Vectle found the following relevant skills: - auth token expired mid-data quality run error failed checkpoint - playwright failed to open data quality dashboard error agent failed login