Skip to main content

doris-debug

Apache Doris production diagnostics router. Use when Apache Doris queries are slow, imports are failing or timing out, compaction is raising -235 errors, nodes are OOM or crashing, materialized views are not rewriting, or tablet/replica health is degraded. Routes to the appropriate doris-debug-* skill. Covers shared-nothing and cloud (storage-compute separation) deployments.

Quellinformationen

Repository
apache/doris-skills
Letzte Quellaktivität
24. Juli 2026 um 23:41
Erkannte Sprache von SKILL.md
Englisch
Sterne
46
Forks
15

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
34 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
doris-debug
description
Apache Doris production diagnostics router. Use when Apache Doris queries are slow, imports are failing or timing out, compaction is raising -235 errors, nodes are OOM or crashing, materialized views are not rewriting, or tablet/replica health is degraded. Routes to the appropriate doris-debug-* skill. Covers shared-nothing and cloud (storage-compute separation) deployments.
version
0.3.0
# Doris Debug Router ## How to use 1. Identify the symptom domain from the table below. 2. Read `shared/references/01-common-commands.md` for diagnostic SQL and API commands. 3. Read `shared/references/02-source-map.md` to map symptoms to Apache Doris source code locations. 4. Open the target skill (`<domain>/SKILL.md`) and follow its cause table and decision tree. 5. Check `shared/references/03-case-index.md` for matching production case patterns. ## Skill routing | Symptom | Skill | |---------|-------| | Slow / timeout / hanging query, Profile analysis, Exchange WaitForData | `query/SKILL.md` | | Stream Load / Broker Load / Routine Load failure, Group Commit WAL pile-up | `import/SKILL.md` | | -235 / too many versions, compaction score high, compaction lag | `compaction/SKILL.md` | | BE/FE OOM, crash, false Alive, memory leak | `node/SKILL.md` | | Sync MV miss, async MTMV refresh/rewrite issues | `materialized-view/SKILL.md` | | Tablet replica missing, clone backlog, disk skew, tablet repair | `tablet/SKILL.md` | | FE/BE startup failure, port conflict, priority_networks misconfig | `deployment/SKILL.md` | | Hive/Iceberg/Paimon/Glue catalog query failure, metadata refresh, S3/HDFS connectivity | `data-lake/SKILL.md` | | Workload Group queue starvation, CPU/memory isolation leaks, spill issues | `resource-isolation/SKILL.md` | | Storage-compute separation, meta-service latency, file cache, warmup | `cloud/SKILL.md` | ## Shared references | Document | Content | |----------|---------| | `shared/references/01-common-commands.md` | Diagnostic SQL, HTTP API, and CLI commands | | `shared/references/02-source-map.md` | Symptom → Doris source code mapping (with version annotations) | | `shared/references/03-case-index.md` | 45 production case summaries across 8 domains | | `shared/references/04-metrics-guide.md` | Per-domain key metrics with thresholds | | `shared/references/05-config-quick-ref.md` | Per-domain key configuration parameters with tuning guidance | | `shared/guides/` | Cross-module cascade troubleshooting | ## Companion skills - `doris-profile-reader`: Deep Profile analysis for query bottlenecks (referenced by `query/SKILL.md` Cause C — BE compute bottleneck). - `doris-best-practices`: Preventive table design and configuration guidance. - `doris-architecture-advisor`: Workload-aware architecture decisions. ## Methodology 1. Client → FE → BE → Disk/Network top-down investigation 2. Logs / Metrics / Profile / `SHOW PROC` evidence first 3. Stop the bleeding (throttle, kill, `reset_rpc_channel`) before root cause 4. Verify hypotheses against Doris source code (`02-source-map.md`) 5. Match known case patterns (`03-case-index.md`) to avoid rediscovery
Auf GitHub ansehen