ClickHouse incident response — triage, diagnose, and remediate server issues using system tables, kill stuck queries, and execute recovery procedures. Use when ClickHouse is slow, unresponsive, OOM-killed, out of disk, backing up merges, or producing errors in production and you need an on-call playbook. Trigger with "clickhouse incident", "clickhouse outage", "clickhouse down", "clickhouse emergency", "clickhouse on-call", "clickhouse broken".
Scanned 9/2/2026
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---
name: clickhouse-incident-runbook
description: |
ClickHouse incident response — triage, diagnose, and remediate server issues
using system tables, kill stuck queries, and execute recovery procedures.
Use when ClickHouse is slow, unresponsive, OOM-killed, out of disk, backing up
merges, or producing errors in production and you need an on-call playbook.
Trigger with "clickhouse incident", "clickhouse outage", "clickhouse down",
"clickhouse emergency", "clickhouse on-call", "clickhouse broken".
allowed-tools: Read, Bash(kubectl:*), Bash(curl:*)
version: 1.7.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- database
- analytics
- clickhouse
- olap
compatibility: Designed for Claude Code
---
# ClickHouse Incident Runbook
## Overview
Step-by-step procedures for triaging and resolving ClickHouse incidents using
built-in system tables and SQL commands. Start here: assess severity, run quick
triage, walk the decision tree, then jump to the matching remediation procedure.
## Prerequisites
- Network access to the ClickHouse HTTP interface (default port `8123`) or a
working `clickhouse-client`.
- A user with rights to read `system.*` tables and issue `KILL QUERY` / `ALTER`.
- Shell access to the host or container for P1 restarts (`systemctl`, `docker`,
or `kubectl`).
## Severity Levels
| Level | Definition | Response | Examples |
|-------|------------|----------|----------|
| P1 | ClickHouse unreachable / all queries failing | < 15 min | Server down, OOM, disk full |
| P2 | Degraded performance / partial failures | < 1 hour | Slow queries, merge backlog |
| P3 | Minor impact / non-critical errors | < 4 hours | Single table issue, warnings |
| P4 | No user impact | Next business day | Monitoring gaps, optimization |
## Instructions
Work the incident top to bottom: triage, classify with the decision tree, then
apply the matching procedure.
### 1. Quick triage (run first)
```bash
# 1. Is ClickHouse alive? (8123 is the default ClickHouse HTTP interface port)
curl -sf 'http://localhost:8123/ping' && echo "UP" || echo "DOWN"
# 2. Can it answer a query?
curl -sf 'http://localhost:8123/?query=SELECT+1' && echo "OK" || echo "QUERY FAILED"
# 3. Check ClickHouse Cloud status
curl -sf 'https://status.clickhouse.cloud' | head -5
```
```sql
-- 4. Server health snapshot (run if server responds)
SELECT
version() AS version,
formatReadableTimeDelta(uptime()) AS uptime,
(SELECT count() FROM system.processes) AS running_queries,
(SELECT value FROM system.metrics WHERE metric = 'MemoryTracking')
AS memory_bytes,
(SELECT count() FROM system.merges) AS active_merges;
-- 5. Recent errors
SELECT event_time, exception_code, exception, substring(query, 1, 200) AS q
FROM system.query_log
WHERE type = 'ExceptionWhileProcessing'
AND event_time >= now() - INTERVAL 10 MINUTE
ORDER BY event_time DESC
LIMIT 10;
```
### 2. Decision tree — classify the failure
```
Server responds to ping?
├─ NO → Check process/container status, disk space, OOM killer logs
│ └─ Container/process dead → Restart, check logs
│ └─ Disk full → Emergency: drop old partitions, expand disk
│ └─ OOM killed → Reduce max_memory_usage, add RAM
└─ YES → Queries succeeding?
├─ NO → Check error codes below
│ └─ Auth errors (516) → Verify credentials, check user exists
│ └─ Too many queries (202) → Kill stuck queries, reduce concurrency
│ └─ Memory exceeded (241) → Kill large queries, reduce max_threads
└─ YES but slow → Performance triage below
```
### 3. Apply the matching remediation
Each branch maps to a full procedure (SQL + shell, copy-paste ready) in
[references/remediation-procedures.md](references/remediation-procedures.md):
- **P1: Server down / OOM** — inspect `dmesg`/`journalctl`, restart, verify.
- **P1: Disk full** — find largest tables, drop old partitions, check `system.disks`.
- **P2: Stuck queries** — inspect `system.processes`, `KILL QUERY` by id/user/elapsed.
- **P2: Too many parts** — check part counts, raise `parts_to_throw_insert`, batch inserts.
- **P2: Memory pressure** — rank by `memory_usage`, kill the largest, cap `max_memory_usage`.
- **P3: Replication lag** — inspect `system.replicas` for queue and replica gaps.
### 4. Collect evidence and communicate
Once mitigated, export the error window and post status updates. Templates and
`INTO OUTFILE` exports are in
[references/evidence-and-comms.md](references/evidence-and-comms.md).
## Output
Working through this runbook produces:
- A **severity classification** (P1–P4) and the identified failure class.
- **Remediation actions applied** — killed query ids, dropped partitions,
restarted service, or adjusted settings.
- A **recovery confirmation** (`SELECT version()` / `SELECT 1` succeeds again).
- **Forensic artifacts** for the postmortem: `/tmp/incident-queries.json` and
`/tmp/incident-metrics.tsv`, plus a filled-in postmortem document.
## Error Handling
| Symptom | Likely Cause | First Action |
|---------|-------------|--------------|
| All queries fail | Server down | Check process, restart |
| Inserts fail | Too many parts | `KILL QUERY` long merges, raise limit |
| Selects slow | Memory pressure | Kill large queries, add filters |
| Disk alerts | No TTL / no cleanup | Drop old partitions |
| Replication lag | Network / merge backlog | Check `system.replicas` |
If the server does not respond to `ping` at all, do not keep issuing SQL — move
straight to the P1 host-level checks (process, disk, OOM logs) before anything else.
## Examples
**Kill a runaway query (P2).** Triage shows one query pinning memory; classify as
"queries succeeding but slow", then from the stuck-query procedure:
```sql
KILL QUERY WHERE query_id = 'abc-123-def';
```
**Emergency disk reclaim (P1).** Ping fails and the host is out of disk; the
disk-full procedure drops the oldest partition to restore writes:
```sql
ALTER TABLE analytics.events DROP PARTITION '202301';
```
Full multi-step walkthroughs for every severity live in
[references/remediation-procedures.md](references/remediation-procedures.md); the
post-incident export and comms templates live in
[references/evidence-and-comms.md](references/evidence-and-comms.md).
## Resources
- [ClickHouse Cloud Status](https://status.clickhouse.cloud)
- [System Tables Reference](https://clickhouse.com/docs/operations/system-tables)
- [KILL QUERY](https://clickhouse.com/docs/sql-reference/statements/kill)
- Related skill: `clickhouse-data-handling` for data-compliance follow-up.
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