Relational Query Superpowers
Blog post from Honeycomb
Honeycomb relational queries enable teams to investigate errors across an entire distributed trace rather than relying only on attributes attached to the initially selected event. Starting with checkout-service spans where `error = true`, the example progressively combines child exception messages, root-level URLs and HTTP status codes, and user, shipping, and payment information located on separate spans to create a single business-focused error view. Relational prefixes such as `root`, `parent`, and `child` target directly related spans, while `any`, `any2`, and `any3` retrieve attributes from up to three different matching spans elsewhere in the trace; `any` fields require corresponding WHERE conditions and each prefix must match attributes on the same qualifying span. The `none` prefix excludes traces containing specified attributes, and grouping by trace IDs can make results easier to inspect. These queries can be used in Honeycomb boards, triggers, SLOs, agents, and shared query links, helping teams correlate technical failures with customer and financial impact.
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