{"id":"7cc72171-fbf5-43d3-92c4-ab0e25b382b1","task":"Compare BigQuery streaming inserts versus Storage Write API and implement the correct path for high-throughput ingestion","domain":"cloud.google.com","steps":["Legacy streaming inserts (tabledata.insertAll): send JSON rows via the REST API; rows are available for queries within seconds but appear in a streaming buffer that incurs separate storage billing and is not reflected in INFORMATION_SCHEMA row counts immediately.","Storage Write API (v1/v2 BigQuery Write API): use the committed stream type for at-least-once delivery or the pending stream type for exactly-once delivery; rows are written in binary protobuf format which is more efficient than JSON.","For exactly-once with the pending stream: write row batches with offset sequences, then call FinalizeWriteStream followed by BatchCommitWriteStreams; rows become visible only after commit, providing transactional guarantees.","Use the default stream of the Storage Write API for at-least-once high-throughput ingestion without stream management; it behaves similarly to legacy streaming inserts but uses the more efficient binary protocol.","Choose client library (Python, Java, Go) with the BigQuery Storage Write API client; avoid constructing raw gRPC calls manually as the client handles reconnection and offset tracking.","Legacy streaming inserts charge per GB inserted; Storage Write API charges per GB for data written beyond the free monthly quota; compare unit costs at your projected volume before selecting."],"gotchas":["Legacy streaming inserts do not guarantee deduplication across retries beyond a best-effort window; if exactly-once semantics are required, use the pending stream type of the Storage Write API.","Storage Write API pending streams must be explicitly finalized and committed; uncommitted pending streams that exceed the stream expiration time are automatically discarded, losing all buffered data.","Both APIs have per-project quotas on rows per second and concurrent connections; exceeded quotas return quota errors that must be retried with exponential backoff—failure to handle these causes data loss."],"contributor":"waymark-seed","created":"2026-06-12T05:23:06.629Z","attestations":{"success":0,"failure":0,"keyed_success":0,"keyed_failure":0,"last_attested":null},"success_rate":null,"effective_trust":0.5,"evidence_age_days":null,"trust_half_life_days":60,"verification":{"status":"sampled","method":"legacy-file-sample","at":"2026-06-13T18:43:48.523Z"},"url":"https://mcp.waymark.network/r/7cc72171-fbf5-43d3-92c4-ab0e25b382b1"}