doris-debug-query

A troubleshooting guide for slow, hanging, or timed-out Apache Doris queries. Apache Doris is a distributed analytical database whose work may occur in a frontend planner or backend execution nodes.

In plain words
What is it for?
Checking Doris planner timeouts, backend scans and joins, exchange waits, and brpc communication errors. It also covers session settings and log or metric checks for reproducing a problem.
Why use it?
It helps identify whether the delay comes from the client timeout, query planning, database computation, or communication between nodes. It provides a route to deeper profile analysis when computation is the likely cause.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/apache/doris-skills/query
Any agent
npx skills add apache/doris-skills --skill query
Clone the repo
git clone --depth 1 https://github.com/apache/doris-skills

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 845 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00062 $0.00845
Opus 5 $0.00031 $0.00423
Sonnet 5 $0.00012 $0.00169
Haiku 4.5 $0.00006 $0.00085

Measured 2d ago against content hash 675cd25e2b20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

doris-debug-query scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "http://$FE:8030/api/query_profile?query_id=$QID"
skills/doris-debug/query/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Query Troubleshooting

Causes

ID Cause Evidence
A Client timeout too small query_timeout vs Profile wall
B Planner Nereids cost too much time / nereids_timeout_second
C BE compute (scan/join/spill) Profile active ExecTime
D Exchange / brpc WaitForData ≈ timeout; failed to send brpc when exchange; [E1008] on :8060

10 min

SET enable_profile = true;
-- reproduce
./scripts/doris-debug log-grep fe/log be/log --query-id "$QID" --pack planner
./scripts/doris-debug log-grep be/log --query-id "$QID" --pack exchange
./scripts/doris-debug audit-topk fe/log/fe.audit.log -k 20 --min-ms 5000

Planner mitigation (session only): SET disable_join_reorder=true; for fat ETL joins; fix stats with ANALYZE.

Cause C — BE compute (scan/join/spill)

When Profile shows high active ExecTime (not Wait*), route to doris-profile-reader for deep Profile analysis:

Skill routing: If doris-profile-reader is available, invoke it with the query's Profile to identify which operator (scan/join/agg/spill) dominates. Key indicators to pass:

  • ActiveTime per operator
  • RowsRead / ScanBytes for scan operators
  • SpillDataSize if disk spill occurred
  • JoinType + JoinRows for join operators

Without profile-reader, check directly:

# Get the Profile text
curl -s "http://$FE:8030/api/query_profile?query_id=$QID"

Key Profile counters for Cause C:

Counter Meaning Threshold
ScannerGetBlockTime Time reading from storage > 50% of ExecTime → IO bound
SpillDataSize Data spilled to disk > 0 → memory pressure, check enable_spill
JoinProbeTime Hash join probe wall time > 30% → check join order / type
RowsRead / ScanBytes Scan volume > 1B rows → check partition pruning

Profile interpretation: prefer active time over Wait*.

Cause D — Exchange / brpc

Code facts (apache/doris):

Read the full file on GitHub · 88 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 88 lines · 62 tokens per session scan A 675cd25e2b20

Subscribe to this mod's changes

doris-debug-query is a skill published in the GitHub repository apache/doris-skills (37 stars, last pushed 12d ago), licensed Apache-2.0. It adds 62 tokens to every session and 845 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

dingtalk_channel_connect

Use a headed browser to automatically complete DingTalk channel integration for QwenPaw. Applicable when the user mentions DingTalk, developer console, Client ID, Client Secret, bot, Stream mode, binding or configuring a channel. Supports pausing when a login page is detected and resuming after the user logs in.

agentscope-ai/QwenPaw · 69 tokens

make_plan

For external plan request scenarios, guides the Agent to request a clear, actionable, step-by-step plan from a stronger Agent via listagents and chatwithagent, emphasizing that the plan is executed by the requester, not by the consulted Agent.

agentscope-ai/QwenPaw · 51 tokens

pdf

当用户需要对PDF文件进行任何操作时,请使用此技能。包括从 PDF 中读取或提取文本/表格、合并多个 PDF、拆分 PDF、旋转页面、添加水印、创建新PDF、填写PDF表单、加密/解密 PDF、提取图片,以及对扫描版 PDF 进行 OCR 使其可搜索。如果用户提到 .pdf 文件或要求生成 PDF,请使用此技能。.

agentscope-ai/QwenPaw · 95 tokens

gpt-image-2

面向 GPT Image 2 的图像生成 / 编辑技能。可在 3 种环境下使用:(A) Garden 本地模式,通过 OpenAI 兼容接口直接出图并落盘;(B) Host-Native 模式,把本 Skill 当作提示词工程指引,把渲染好的 prompt 交给宿主 Agent 自带的图像工具出图;(C) Advisor 模式,宿主无任何图像工具时退化为高质量 prompt 顾问。涵盖 18 大类、80+ 个结构化模板,覆盖海报 / UI / 产品 / 信息图 / 学术图 / 技术架构图 / 漫画 / 头像 / 流程板 / 电影分镜 / IP 周边 / 编辑工作流等场景。.

ConardLi/garden-skills · 177 tokens

new

Create a new project to start development quickly.

clacky-ai/openclacky · 10 tokens

oss-upload

Upload local files to Tencent COS (oss.1024code.com CDN) using coscli. Use when user wants to upload a file to CDN/OSS, or deploy static assets.

clacky-ai/openclacky · 40 tokens