clickhousectl 是用于本地和云端 ClickHouse 的 CLI。
使用 clickhousectl,您可以:
- 安装和管理本地 ClickHouse 版本
- 启动和管理本地 ClickHouse 服务端
- 对 ClickHouse 服务端执行查询
- 搭建 ClickHouse Cloud 并创建由云托管的 ClickHouse 集群
- 管理 ClickHouse Cloud 资源
- 将官方 ClickHouse agent skills 安装到受支持的代码智能体中
- 将本地 ClickHouse 开发工作推送到云端
clickhousectl 可帮助开发者和 AI 智能体基于 ClickHouse 进行开发。
快速安装
curl https://clickhouse.com/cli | sh
安装脚本会下载适用于您的 OS 的正确版本,并将其安装到 ~/.local/bin/clickhousectl。此外,还会自动创建 chctl 别名,便于使用。
安装和管理 ClickHouse 版本
clickhousectl 会从 GitHub releases 下载 ClickHouse 二进制文件。
# Install a version
clickhousectl local install stable # Latest stable release
clickhousectl local install lts # Latest LTS release
clickhousectl local install 26.3 # Latest 26.3.x.x
clickhousectl local install 26.3.4.3 # Exact version
# List versions
clickhousectl local list # Installed versions
clickhousectl local list --remote # Available for download
# Manage default version
clickhousectl local use stable # Latest stable (installs if needed)
clickhousectl local use lts # Latest LTS (installs if needed)
clickhousectl local use 26.3 # Latest 26.3.x.x (installs if needed)
clickhousectl local use 26.3.4.3 # Exact version
clickhousectl local which # Show current default
# Remove a version
clickhousectl local remove 26.3.4.3
ClickHouse 二进制文件存储
ClickHouse 二进制文件存放在全局代码仓库中,因此可供多个项目共用,无需重复占用存储空间。二进制文件存放在 ~/.clickhousectl/ 中:
~/.clickhousectl/
├── versions/
│ └── 26.3.4.3/
│ └── clickhouse
└── default # tracks the active version
初始化项目
init 会在当前工作目录中为 ClickHouse 项目文件初始化一套标准的文件夹结构。此步骤为可选;如果你愿意,也可以使用自己偏好的文件夹结构。
它会创建以下结构:
clickhouse/
├── tables/ # Table definitions (CREATE TABLE ...)
├── materialized_views/ # Materialized view definitions
├── queries/ # Saved queries
└── seed/ # Seed data / INSERT statements
执行查询
# Connect to a running server with clickhouse-client
clickhousectl local client # Connects to "default" server
clickhousectl local client --name dev # Connects to "dev" server
clickhousectl local client --query "SHOW DATABASES" # Run a query
clickhousectl local client --queries-file schema.sql # Run queries from a file
clickhousectl local client --host remote-host --port 9000 # Connect to a specific host/port
创建和管理 ClickHouse 服务端
启动并管理 ClickHouse 服务端实例。每个服务端实例都有各自隔离的数据目录,位于 .clickhousectl/servers/<name>/data/。
# Start a server (runs in background by default)
clickhousectl local server start # Named "default"
clickhousectl local server start --name dev # Named "dev"
clickhousectl local server start --foreground # Run in foreground (-F / --fg)
clickhousectl local server start --http-port 8124 --tcp-port 9001 # Explicit ports
clickhousectl local server start -- --config-file=/path/to/config.xml
# List all servers (running and stopped)
clickhousectl local server list
# Stop servers
clickhousectl local server stop default # Stop by name
clickhousectl local server stop-all # Stop all running servers
# Remove a stopped server and its data
clickhousectl local server remove test
服务器命名: 如果不使用 --name,第一个服务器名称为 "default"。如果 "default" 已在运行,则会生成一个随机名称 (例如 "bold-crane") 。如需使用可反复启动/停止的稳定标识,请使用 --name。
端口: 默认端口为 HTTP 8123 和 TCP 9000。如果这些端口已被占用,系统会自动分配空闲端口,并在输出中显示。使用 --http-port 和 --tcp-port 设置明确的端口。
项目本地数据目录
所有服务器数据都存放在项目目录下的 .clickhousectl/ 中:
.clickhousectl/
├── .gitignore # auto-created, ignores everything
├── credentials.json # cloud API credentials (if configured)
└── servers/
├── default/
│ └── data/ # ClickHouse data files for "default" server
└── dev/
└── data/ # ClickHouse data files for "dev" server
每个具名服务器都有各自的数据目录,因此服务器之间彼此完全隔离。数据在重启后仍会保留——按名称停止并重新启动服务器,即可从上次离开的地方继续。使用 clickhousectl local server remove <name> 可永久删除服务器的数据。
身份验证
使用 OAuth (基于浏览器) 或 API 密钥向 ClickHouse Cloud 进行身份验证。
OAuth 登录 (推荐)
clickhousectl cloud auth login
这将打开您的浏览器,并通过 OAuth 设备流完成身份验证。令牌将保存在 .clickhousectl/tokens.json 中 (项目本地) 。
API 密钥/密钥值
# Non-interactive (CI-friendly)
clickhousectl cloud auth login --api-key YOUR_KEY --api-secret YOUR_SECRET
# Interactive prompt
clickhousectl cloud auth login --interactive
凭据将保存到 .clickhousectl/credentials.json (项目本地) 。
您也可以使用环境变量:
export CLICKHOUSE_CLOUD_API_KEY=your-key
export CLICKHOUSE_CLOUD_API_SECRET=your-secret
或者直接在任意命令中通过标志传入凭据:
clickhousectl cloud --api-key KEY --api-secret SECRET ...
认证状态与登出
clickhousectl cloud auth status # Show current auth state
clickhousectl cloud auth logout # Clear all saved credentials (credentials.json & tokens.json)
凭据解析顺序:CLI 参数 > OAuth 令牌 > .clickhousectl/credentials.json > 环境变量。
Cloud
通过 API 管理 ClickHouse Cloud 服务。
clickhousectl cloud org list # List organizations
clickhousectl cloud org get <org-id> # Get organization details
clickhousectl cloud org update <org-id> --name "Renamed Org"
clickhousectl cloud org update <org-id> \
--remove-private-endpoint pe-1,cloud-provider=aws,region=us-east-1 \
--enable-core-dumps false
clickhousectl cloud org prometheus <org-id> --filtered-metrics true
clickhousectl cloud org usage <org-id> \
--from-date 2024-01-01 \
--to-date 2024-01-31
# List services
clickhousectl cloud service list
# Get service details
clickhousectl cloud service get <service-id>
# Create a service (minimal)
clickhousectl cloud service create --name my-service
# Create with scaling options
clickhousectl cloud service create --name my-service \
--provider aws \
--region us-east-1 \
--min-replica-memory-gb 8 \
--max-replica-memory-gb 32 \
--num-replicas 2
# Create with specific IP allowlist
clickhousectl cloud service create --name my-service \
--ip-allow 10.0.0.0/8 \
--ip-allow 192.168.1.0/24
# Create from backup
clickhousectl cloud service create --name restored-service --backup-id <backup-uuid>
# Create with release channel
clickhousectl cloud service create --name my-service --release-channel fast
# Start/stop a service
clickhousectl cloud service start <service-id>
clickhousectl cloud service stop <service-id>
# Connect to a cloud service with clickhouse-client
clickhousectl cloud service client --name my-service --password secret
clickhousectl cloud service client --id <service-id> -q "SELECT 1" --password secret
# Use CLICKHOUSE_PASSWORD env var (recommended for scripts/agents)
CLICKHOUSE_PASSWORD=secret clickhousectl cloud service client \
--name my-service -q "SELECT count() FROM system.tables"
# Update service metadata and patches
clickhousectl cloud service update <service-id> \
--name my-renamed-service \
--add-ip-allow 10.0.0.0/8 \
--remove-ip-allow 0.0.0.0/0 \
--release-channel fast
# Update replica scaling
clickhousectl cloud service scale <service-id> \
--min-replica-memory-gb 24 \
--max-replica-memory-gb 48 \
--num-replicas 3 \
--idle-scaling true \
--idle-timeout-minutes 10
# Reset password with generated credentials
clickhousectl cloud service reset-password <service-id>
# Delete a service (must be stopped first)
clickhousectl cloud service delete <service-id>
# Force delete: stops a running service then deletes
clickhousectl cloud service delete <service-id> --force
服务创建选项
| 选项 | 说明 |
|---|
--name | 服务名称 (必填) |
--provider | 云服务商:aws、gcp、azure (默认:aws) |
--region | 区域 (默认:us-east-1) |
--min-replica-memory-gb | 每个副本的最小内存 (GB) (8-356,且必须为 4 的倍数) |
--max-replica-memory-gb | 每个副本的最大内存 (GB) (8-356,且必须为 4 的倍数) |
--num-replicas | 副本数量 (1-20) |
--idle-scaling | 允许缩容到零 (默认:true) |
--idle-timeout-minutes | 最短空闲超时时间 (分钟) (>= 5) |
--ip-allow | 允许的 IP CIDR (可重复指定,默认:0.0.0.0/0) |
--backup-id | 要从中恢复的备份 ID |
--release-channel | 发布渠道:slow、default、fast |
查询端点管理
clickhousectl cloud service query-endpoint get <service-id>
clickhousectl cloud service query-endpoint create <service-id> \
--role admin \
--open-api-key key-1 \
--allowed-origins https://app.example.com
clickhousectl cloud service query-endpoint delete <service-id>
私有端点管理
clickhousectl cloud service private-endpoint create <service-id> --endpoint-id vpce-123
clickhousectl cloud service private-endpoint get-config <service-id>
备份配置
clickhousectl cloud service backup-config get <service-id>
clickhousectl cloud service backup-config update <service-id> \
--backup-period-hours 24 \
--backup-retention-period-hours 720 \
--backup-start-time 02:00
clickhousectl cloud backup list <service-id>
clickhousectl cloud backup get <service-id> <backup-id>
clickhousectl cloud member list
clickhousectl cloud member get <user-id>
clickhousectl cloud member update <user-id> --role-id <role-id>
clickhousectl cloud member remove <user-id>
clickhousectl cloud invitation list
clickhousectl cloud invitation create --email dev@example.com --role-id <role-id>
clickhousectl cloud invitation get <invitation-id>
clickhousectl cloud invitation delete <invitation-id>
clickhousectl cloud key list
clickhousectl cloud key get <key-id>
clickhousectl cloud key create --name ci-key --role-id <role-id> --ip-allow 10.0.0.0/8
clickhousectl cloud key update <key-id> \
--name renamed-key \
--expires-at 2025-12-31T00:00:00Z \
--state disabled \
--ip-allow 0.0.0.0/0
clickhousectl cloud key delete <key-id>
活动记录
clickhousectl cloud activity list --from-date 2024-01-01 --to-date 2024-12-31
clickhousectl cloud activity get <activity-id>
JSON 输出
使用 --json 标志可输出 JSON 格式的响应。
clickhousectl cloud --json service list
clickhousectl cloud --json service get <service-id>
从 ClickHouse/agent-skills 安装官方 ClickHouse Agent Skills。
# Default: interactive mode for humans, choose scope, then choose agents
clickhousectl skills
# Non-interactive: install into every supported project-local agent folder
clickhousectl skills --all
# Non-interactive: install only into detected agents
clickhousectl skills --detected-only
# Non-interactive: install into every supported global agent folder
clickhousectl skills --global --all
# Non-interactive: install into specific project-local agents
clickhousectl skills --agent claude --agent codex
非交互式参数
| 参数 | 说明 |
|---|
--agent <name> | 为特定智能体安装 技能 (可多次指定) |
--global | 使用全局作用域;若省略,则使用项目作用域 |
--all | 为所有受支持的智能体安装 技能 |
--detected-only | 为系统中检测到的受支持智能体安装 技能 |