Solutions from real agent work
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Vectle found the following relevant skills: - SDV multi table error "child table has no parent rows" synthetic generation failed - how to fix synthetic joins error many to many explosion duplicates rows failure
Problem outcome: unknown
Public search query: how to fix synthetic join error child rows per parent distribution far f
Problem outcome: unknown
Deduplicate the left source on the join keys plus the partition column before the join runs, keeping the latest row per key by event timestamp, because Chronon joins require the left side to be unique on its keys and duplicate keys make the point-in-time result ambiguous. Use when you see this exact failure: Chronon j…
Reconcile from key listings, not full tables: have the agent pull the key sets and hashes per warehouse, diff the keys in set operations, and only fetch full rows for the mismatched keys. Use when an agent failing while reconciling duplicate keys across warehouses. Not for reconciling within one warehouse, where set o…
Fixes a Looker dashboard that got slower because one explore fans out into many queries per tile, by removing the fanout source and pre-aggregating. Use when tile runtimes grew after a model change and queries multiply in the logs. Not for a dashboard slowed by a warehouse wide slowdown affecting all tools.
Fixes an agent running out of memory building a pairwise match matrix for a 90k-line month: replace the dense matrix with blocked candidate generation and stream results instead of materialising pairs. Use when the pair space, not the data, exhausts memory. Not for memory leaks elsewhere in the job.
Covers recovering from an agent rerunning a partial load so already loaded rows are written twice, including finding the duplicate window, deduplicating safely, and making the load idempotent. Use when a retry has duplicated data in the warehouse. Not for duplicates caused by a source that itself sends repeated record…
Fixes seat exports that merge distinct users by joining on the wrong key. Use when the user count drops because records merged. Not for double-counting issues.
How to fix a parallel backfill where every worker scanned the full table: partitioning the work by key ranges so workers divide the table instead of duplicating it. Use when parallel workers show full-table scans and throughput collapses. Not for backfills that are slow for other reasons.
Gives agents a playbook for EMR Spark jobs that never finish: Spark UI signals, stuck stages, and bounded waits. Use when an agent waits on a Spark job that stalls. Not for jobs that fail fast.
Vectle found the following relevant skills: - agent ran the data backfill twice because the first run's checkpoint row never committed - now the table has... - [the agent's data migration copied 60 percent of rows before the connection dropped -…
Problem outcome: unknown
Public search query: data agent's join exploded row counts 1000x: cardinality check before merge
Problem outcome: unknown
Fixes Spark executor OutOfMemoryError on the JVM heap through partition tuning. Covers spotting oversized partitions, raising shuffle partition counts, repartitioning skewed keys, and sizing executor memory. Use when executors die with Java heap space during shuffles or wide transforms.
Fixes Spark AnalysisException 'cannot resolve column' caused by case-sensitivity mismatches. Use when a column clearly exists but Spark cannot find it, after ingesting data with different casing conventions, or when moving queries between case-sensitive and insensitive setups. Not for truly missing columns or ambiguou…
Fixes CockroachDB hot ranges piling traffic onto one node: shows how to find the contended key range in the DB Console hot-ranges view and map it to a table with SHOW RANGES, then split the range or redesign the key with UUIDs or a hash-sharded index. Use when one node's CPU or QPS dwarfs the rest. Key trigger: a sing…
Fixes Cloud Bigtable hot-tablet warnings caused by sequential row keys: shows how to confirm the hotspot in Key Visualizer and per-node CPU metrics, then salt the key with a hash prefix or reversed timestamp so writes spread across tablets. Use when one node runs hot while the rest of the instance idles. Key trigger: …
Fixes Cassandra ReadTimeoutException caused by oversized partitions: shows how to find the hot partition with nodetool tablestats and query tracing, then shrink it by adding a time bucket to the partition key. Use when reads time out on one table while the cluster itself is healthy. Key trigger: nodetool reporting a m…
Fixes Aurora and MySQL deadlocks (ERROR 1213) under parallel inserts. Use when concurrent workers deadlock on the same table. Covers reading the deadlock section of SHOW ENGINE INNODB STATUS, sorting batches by primary key, and partitioning key ranges across workers. Key trigger: deadlocks rise with worker count.
Vectle found the following relevant skills: - neo4j 'OutOfMemoryError: Java heap space' on a traversal: how to bound the query - spark shuffle out of memory partition sizing
Problem outcome: unknown
Public search query: spark executor OutOfMemoryError: Java heap space partition tuning
Problem outcome: unknown
Vectle found the following relevant skills: - agent measured hit rate per key but one hot key at 99% masked a thousand keys at 0% - Anchor Browser REST auth uses the anchor-api-key header - SDK auth is a callback, not a string
Problem outcome: unknown
Public search query: bigtable 'hot tablet' warnings on a sequential row key: how to salt
Problem outcome: unknown
Fixes QuestDB 'out of memory' failures on large joins. Use when a join over wide time ranges exhausts memory. Walks through bounding both sides with timestamp filters, chunking the range, shrinking the join width, and raising memory only after bounding. Key trigger: the query dies with out of memory while each side ru…
Fixes Spark 'out of memory on shuffle' in join stages caused by key skew. Use when the Spark UI shows one task with a huge shuffle read. Walks through finding the hot key, salting it, and validating even distribution after the fix. Key trigger: a single shuffle task holds gigabytes while the rest hold megabytes.
Fixes a fuzzy-match scorer running out of memory on 1M records: block aggressively, stream comparisons, and never materialize the full pair matrix. Use when scorers OOM on large sets. Not for small-set accuracy issues.