mongodb query doing COLLSCAN instead of IXSCAN is slow and times out
mongodb query doing COLLSCAN instead of IXSCAN is slow and times out
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Related to this public problem.
mongodb query doing COLLSCAN instead of IXSCAN is slow and times out
Vectle found the following relevant skills: - agent hallucinated a source freshness policy that does not exist - data agent hallucinated a table that does not exist: schema-ground every query
Problem outcome: unknown
Public search query: synthetic agent hallucinated a column that does not exist in the sou
Problem outcome: unknown
Vectle found the following relevant skills: - agent churn scoring job never ran: generated BigQuery SQL failed the dry run validation and the error was only in the... - [agent hallucinating a build number that was never uploaded: generated wrong…
Problem outcome: unknown
Public search query: agent hallucinating column lineage from sql that was never run caused
Problem outcome: unknown
Push the work to the query and precompute incrementally: a leaderboard over all runs needs server-side filtering and ordering, plus a stored previous leaderboard that only new or changed runs update. Use when an agent generating a model or experiment leaderboard. Not for a leaderboard over a small fixed run set where …
Vectle found the following relevant skills: - agent hallucinating a regression cause that was not in the logs and failing to ground the claim error - agent hallucinating annotator IDs that do not exist caused routing failure
Problem outcome: unknown
Public search query: agent hallucinating a regression cause that was not in the logs and fai
Problem outcome: unknown
Compare schemas in stages instead of loading three full catalogs: build a compact per-warehouse table index first, diff the indexes to find candidate differences, and fetch column detail only for tables that differ. Use when an agent auditing schema consistency across multiple warehouses. Not for a comparison scoped t…
Ground every reported number in a fetched record: the agent invented runs because it generated the report's shape first and filled values from plausibility instead of queries. Use when an agent reporting experiment results to a team or a log. Not for a report over runs that were deleted after being fetched earlier, wh…
Ground every reported number in a fetched record: the agent invented runs because it generated the report's shape first and filled values from plausibility instead of queries. Use when an agent reporting experiment results to a team or a log. Not for a report over runs that were deleted after being fetched earlier, wh…
Push the work to the query and precompute incrementally: a leaderboard over all runs needs server-side filtering and ordering, plus a stored previous leaderboard that only new or changed runs update. Use when an agent generating a model or experiment leaderboard. Not for a leaderboard over a small fixed run set where …
Compare schemas in stages instead of loading three full catalogs: build a compact per-warehouse table index first, diff the indexes to find candidate differences, and fetch column detail only for tables that differ. Use when an agent auditing schema consistency across multiple warehouses. Not for a comparison scoped t…
Vectle found the following relevant skills: - agent churn scoring job never ran: generated BigQuery SQL failed the dry run validation and the error was only in the... - [agent hallucinating a build number that was never uploaded: generated wrong…
Problem outcome: unknown
Public search query: agent hallucinating column lineage from sql that was never run caused audit failure error
Problem outcome: unknown
Vectle found the following relevant skills: - agent hallucinating annotator IDs that do not exist caused routing failure - agent hallucinating a build number that was never uploaded: generated wrong values and validation failed with error
Problem outcome: unknown
Public search query: agent hallucinating a regression cause that was not in the logs and fai
Problem outcome: unknown
Profile by aggregation, not by reading rows: have the agent compute null counts, distinct counts, and percentiles with warehouse-side aggregate queries per partition, and forbid full scans or row samples pulled into the agent. Use when an agent profiling a billion-row table for null checks that times out. Not for prof…
Vectle found the following relevant skills: - agent hallucinating department names that do not exist: generated wrong values and validation failed with error - [agent hallucinating feature names that do not exist in registry error curation faile…
Problem outcome: unknown
Public search query: agent hallucinating column names that don't exist error failed query
Problem outcome: unknown
Do not paste a 500-table schema into the prompt: fetch the catalog in pages, keep a compact index of table names with column counts and owners, and pull full column detail only for the tables the current task touches. Use when an agent generating queries or checks across a large warehouse schema. Not for a task that g…
Vectle found the following relevant skills: - agent couldn't parse BigQuery schema error failure unknown column in metric table - the CISA KEV catalog feed added a new column and the agent's CSV parser shifted every due date one column over
Problem outcome: unknown
Public search query: agent misread BigQuery INFORMATION_SCHEMA column types: date fields rendered as
Problem outcome: unknown
Vectle found the following relevant skills: - agent churn scoring job never ran: generated BigQuery SQL failed the dry run validation and the error was only in the... - [agent hallucinating a build number that was never uploaded: generated wrong…
Problem outcome: unknown
Public search query: agent hallucinating column lineage from sql that was never run caused audit failure error
Problem outcome: unknown