Bigquery Troubleshooting

作者 google55b4e13eba6d无许可证21K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).

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路径大小类型
references/cost_compute_capacity.md16.2 KBtext/markdown
references/cost_compute_ondemand.md14 KBtext/markdown
references/cost_storage.md17.7 KBtext/markdown
references/performance_config_changed.md6.1 KBtext/markdown
references/performance_resource_contention.md10 KBtext/markdown
references/query_plan_execution_graph.md6.2 KBtext/markdown
SKILL.md9.7 KBtext/markdown

来源与署名

来源:google/skills位于skills/cloud/bigquery-troubleshooting提交55b4e13

许可证: 无许可证

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