profiling-transaction-fingerprints

Yes, you can pinpoint problematic queries within high-retry transactions by linking transaction fingerprints to statement statistics. This statement-level drill-down reveals which specific queries drive commit latency and contention hotspots.

You can analyze transaction latency and retries without DB Console access by querying crdb_internal.transaction_statistics directly. This enables historical transaction profiling and root-cause analysis for contention hotspots from your SQL client.

The best way to mitigate commit latency and contention hotspots involves analyzing transaction fingerprints to apply recommended mitigations such as batching, boundary tightening, or index and query optimizations, referencing appropriate documentation for deeper guidance.

Correlate transaction retry and commit latency metrics with network, memory, and disk usage for performance diagnostics. This resource correlation helps identify hot rows and optimize overall transaction execution.

Profiling transaction statistics over a historical window requires no external dependencies. It relies on querying the built-in crdb_internal.transaction_statistics table to surface top transaction fingerprints from your specified historical window.