query-patterns
Constructing and interpreting Honeycomb queries on trace, log and event datasets: operation selection (percentiles not AVG, HEATMAP for distributions), relational fields (root., parent., any., none.), calculated fields, query math, and reading results (P99/P50 ratios, heatmap bands, TOTAL/OTHER rows, raw JSON via query_result_json). Trigger phrases: "show me latency", "error rate", "find slow requests", "find outliers", "interpret results", "relational fields", "calculated fields", "download raw results". For metrics datasets (dataset_type=metrics) use metrics-queries.
- Version
- 1.1.0
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/query-patterns/SKILL.md
- skills/query-patterns/LICENSE
- skills/query-patterns/references/calculated-fields.md
- skills/query-patterns/references/query-examples.md
- skills/query-patterns/references/relational-fields.md
- skills/query-patterns/references/result-interpretation.md
- skills/query-patterns/references/visualize-operations.md
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