clickhouse-enterprise-rbac
Configure ClickHouse enterprise RBAC — SQL-based users, roles, row policies, column-level grants, and quota management. Use when setting up multi-user access control, implementing tenant isolation, or configuring enterprise security for ClickHouse. Trigger: "clickhouse RBAC", "clickhouse roles", "clickhouse permissions", "clickhouse row policy", "clickhouse enterprise access", "clickhouse GRANT".
Best use case
clickhouse-enterprise-rbac is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure ClickHouse enterprise RBAC — SQL-based users, roles, row policies, column-level grants, and quota management. Use when setting up multi-user access control, implementing tenant isolation, or configuring enterprise security for ClickHouse. Trigger: "clickhouse RBAC", "clickhouse roles", "clickhouse permissions", "clickhouse row policy", "clickhouse enterprise access", "clickhouse GRANT".
Teams using clickhouse-enterprise-rbac should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/clickhouse-enterprise-rbac/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clickhouse-enterprise-rbac Compares
| Feature / Agent | clickhouse-enterprise-rbac | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Configure ClickHouse enterprise RBAC — SQL-based users, roles, row policies, column-level grants, and quota management. Use when setting up multi-user access control, implementing tenant isolation, or configuring enterprise security for ClickHouse. Trigger: "clickhouse RBAC", "clickhouse roles", "clickhouse permissions", "clickhouse row policy", "clickhouse enterprise access", "clickhouse GRANT".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# ClickHouse Enterprise RBAC
## Overview
Implement enterprise-grade role-based access control in ClickHouse using SQL-based
user management, hierarchical roles, row-level policies, and quotas.
## Prerequisites
- ClickHouse with `access_management = 1` enabled (default in Cloud)
- Admin user with `GRANT OPTION`
## Instructions
### Step 1: Create Users with Authentication
```sql
-- SHA256 password (standard)
CREATE USER app_backend
IDENTIFIED WITH sha256_password BY 'strong-password-here'
DEFAULT DATABASE analytics
HOST IP '10.0.0.0/8' -- Restrict to VPC
SETTINGS max_memory_usage = 10000000000, -- 10GB per query
max_execution_time = 60; -- 60s timeout
-- Double SHA1 (MySQL wire protocol compatible)
CREATE USER legacy_app
IDENTIFIED WITH double_sha1_password BY 'password'
DEFAULT DATABASE analytics;
-- bcrypt (strongest, slowest — use for admin accounts)
CREATE USER admin_user
IDENTIFIED WITH bcrypt_password BY 'admin-password';
-- Verify user was created
SHOW CREATE USER app_backend;
SELECT name, host_ip, default_database FROM system.users;
```
### Step 2: Create Role Hierarchy
```sql
-- Base roles (leaf-level permissions)
CREATE ROLE data_reader;
GRANT SELECT ON analytics.* TO data_reader;
CREATE ROLE data_writer;
GRANT INSERT ON analytics.* TO data_writer;
CREATE ROLE schema_manager;
GRANT CREATE TABLE, ALTER TABLE, DROP TABLE ON analytics.* TO schema_manager;
-- Composite roles (inherit from base roles)
CREATE ROLE analyst;
GRANT data_reader TO analyst;
-- Analysts can also create temporary tables for ad-hoc work
GRANT CREATE TEMPORARY TABLE ON *.* TO analyst;
CREATE ROLE developer;
GRANT data_reader, data_writer TO developer;
CREATE ROLE platform_admin;
GRANT data_reader, data_writer, schema_manager TO platform_admin;
GRANT SYSTEM RELOAD, SYSTEM FLUSH LOGS ON *.* TO platform_admin;
-- Assign roles to users
GRANT analyst TO app_backend; -- Read-only
GRANT developer TO app_backend; -- Read + write
GRANT platform_admin TO admin_user; -- Full access
-- Set default role (active when user connects)
SET DEFAULT ROLE developer TO app_backend;
-- Verify the full permission chain
SHOW GRANTS FOR app_backend;
SHOW ACCESS; -- All users, roles, policies
```
### Step 3: Row-Level Security
```sql
-- Multi-tenant isolation: each user sees only their tenant's data
CREATE USER tenant_acme
IDENTIFIED WITH sha256_password BY 'pass'
DEFAULT DATABASE analytics;
CREATE USER tenant_globex
IDENTIFIED WITH sha256_password BY 'pass'
DEFAULT DATABASE analytics;
-- Row policy: restrict by tenant_id
CREATE ROW POLICY acme_isolation ON analytics.events
FOR SELECT
USING tenant_id = 1
TO tenant_acme;
CREATE ROW POLICY globex_isolation ON analytics.events
FOR SELECT
USING tenant_id = 2
TO tenant_globex;
-- Admin sees all rows (permissive policy)
CREATE ROW POLICY admin_all ON analytics.events
FOR SELECT
USING 1 = 1 -- No filter
TO platform_admin;
-- Verify: this user only sees tenant_id = 1
-- (connect as tenant_acme)
SELECT tenant_id, count() FROM analytics.events GROUP BY tenant_id;
-- Returns only rows where tenant_id = 1
-- List all row policies
SELECT * FROM system.row_policies;
```
### Step 4: Column-Level Grants
```sql
-- Grant SELECT on specific columns only (hide PII)
GRANT SELECT(event_id, event_type, created_at) ON analytics.events TO analyst;
-- Analyst cannot SELECT email, user_id, ip_address
-- Grant INSERT on specific columns (prevent metadata injection)
GRANT INSERT(event_type, user_id, properties) ON analytics.events TO data_writer;
-- Verify column-level grants
SHOW GRANTS FOR analyst;
```
### Step 5: Quotas (Resource Limits per User)
```sql
-- Limit query resources per time interval
CREATE QUOTA analyst_quota
FOR INTERVAL 1 HOUR
MAX queries = 1000,
MAX result_rows = 10000000, -- 10M result rows
MAX read_rows = 1000000000, -- 1B rows read
MAX execution_time = 1800 -- 30 minutes total
FOR INTERVAL 1 DAY
MAX queries = 10000,
MAX read_rows = 10000000000
TO analyst;
-- Check quota usage
SELECT
quota_name, quota_key,
interval_duration,
queries, max_queries,
result_rows, max_result_rows,
round(queries / max_queries * 100, 1) AS usage_pct
FROM system.quota_usage;
-- Override quota for specific user
CREATE QUOTA power_user_quota
FOR INTERVAL 1 HOUR MAX queries = 10000
TO developer;
```
### Step 6: Settings Profiles
```sql
-- Create a restrictive profile for external analysts
CREATE SETTINGS PROFILE analyst_profile
SETTINGS
readonly = 1, -- Read-only mode
max_memory_usage = 5000000000 MIN 0 MAX 10000000000, -- 5GB, can request up to 10GB
max_execution_time = 120, -- 2 min timeout
max_threads = 4, -- 4 threads per query
max_result_rows = 1000000, -- 1M result rows
max_concurrent_queries_for_user = 5, -- 5 parallel queries
use_uncompressed_cache = 0 -- Don't pollute cache
TO analyst;
-- Create a profile for ETL / ingestion users
CREATE SETTINGS PROFILE writer_profile
SETTINGS
max_memory_usage = 10000000000,
max_execution_time = 300,
max_insert_block_size = 1000000,
async_insert = 1,
async_insert_busy_timeout_ms = 5000
TO developer;
```
### Step 7: Application-Level RBAC Wrapper
```typescript
import { createClient } from '@clickhouse/client';
// Create per-role clients
function createRoleClient(role: 'reader' | 'writer' | 'admin') {
const credentials = {
reader: { user: 'app_reader', pass: process.env.CH_READER_PASS! },
writer: { user: 'app_writer', pass: process.env.CH_WRITER_PASS! },
admin: { user: 'app_admin', pass: process.env.CH_ADMIN_PASS! },
};
const cred = credentials[role];
return createClient({
url: process.env.CLICKHOUSE_HOST!,
username: cred.user,
password: cred.pass,
});
}
// Use the appropriate client for each operation
const readerClient = createRoleClient('reader');
const writerClient = createRoleClient('writer');
// Read operations use the reader client
async function queryEvents() {
return readerClient.query({ query: 'SELECT * FROM events LIMIT 100', format: 'JSONEachRow' });
}
// Write operations use the writer client
async function insertEvents(events: Record<string, unknown>[]) {
return writerClient.insert({ table: 'events', values: events, format: 'JSONEachRow' });
}
```
## Access Control Audit
```sql
-- Who has access to what?
SELECT
user_name, role_name, granted_role_name,
access_type, database, table, column
FROM system.grants
ORDER BY user_name, role_name;
-- Track authentication failures
SELECT event_time, user, client_hostname, exception
FROM system.query_log
WHERE exception_code = 516 -- AUTHENTICATION_FAILED
ORDER BY event_time DESC
LIMIT 20;
-- Track privilege denials
SELECT event_time, user, exception, substring(query, 1, 200)
FROM system.query_log
WHERE exception_code = 497 -- ACCESS_DENIED
ORDER BY event_time DESC
LIMIT 20;
```
## Error Handling
| Error Code | Name | Solution |
|------------|------|----------|
| 497 | ACCESS_DENIED | `SHOW GRANTS FOR user`, add missing GRANT |
| 516 | AUTHENTICATION_FAILED | Verify password, check HOST restriction |
| 164 | READONLY | User has `readonly=1`, grant write if needed |
| 497 | Not enough privileges to execute GRANT | Use admin user with GRANT OPTION |
## Resources
- [Access Control Docs](https://clickhouse.com/docs/operations/access-rights)
- [CREATE USER](https://clickhouse.com/docs/sql-reference/statements/create/user)
- [GRANT Statement](https://clickhouse.com/docs/sql-reference/statements/grant)
- [Row Policies](https://clickhouse.com/docs/knowledgebase/row-column-policy)
- [Quotas](https://clickhouse.com/docs/operations/quotas)
## Next Steps
For schema migrations, see `clickhouse-migration-deep-dive`.Related Skills
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