clickhousectl-cloud-deploy

作成者: clickhouse

ユーザーがClickHouseをクラウドにデプロイしたい、本番環境に移行したい、ClickHouse Cloudを使用したい、マネージドClickHouseサービスをホストしたい、またはローカルから移行したい場合に使用します。

npx skills add https://github.com/clickhouse/agent-skills --skill clickhousectl-cloud-deploy

Deploy to ClickHouse Cloud

This skill walks through deploying to ClickHouse Cloud using clickhousectl. It covers account setup, CLI authentication, service creation, schema migration, and connecting your application. Follow these steps in order.

When to Apply

Use this skill when the user wants to:

  • Deploy their ClickHouse application to production
  • Host ClickHouse as a managed cloud service
  • Migrate from a local ClickHouse setup to ClickHouse Cloud
  • Create a ClickHouse Cloud service
  • Set up ClickHouse Cloud for the first time

Step 1: Sign up for ClickHouse Cloud

Before using any cloud commands, the user needs a ClickHouse Cloud account.

Ask the user: "Do you already have a ClickHouse Cloud account?"

If they do not have an account, explain:

ClickHouse Cloud is a fully managed service that runs ClickHouse for you — no infrastructure to maintain, automatic scaling, backups, and upgrades included. There's a free trial so you can get started without a credit card.

To create an account, go to: https://clickhouse.cloud

Sign up with your email, Google, or GitHub account. Once you're in the console, let me know and we'll continue with the next step.

Wait for the user to confirm they have signed up or already have an account before proceeding.


Step 2: Authenticate the CLI

First, ensure clickhousectl is installed. Check with:

which clickhousectl

If not found, install it:

curl -fsSL https://clickhouse.com/cli | sh

Authenticate clickhousectl with a ClickHouse Cloud API key.

Create an API key

Guide the user through creating one in the ClickHouse Cloud console:

  1. Click the gear icon (Settings) in the left sidebar
  2. Go to API Keys
  3. Click Create API Key
  4. Give it a name (e.g., "clickhousectl")
  5. Select the Admin role for the key. Admin is needed because cloud service query auto-provisions a per-service query endpoint API key on first use, which requires permission to create keys. Developer-scoped keys can manage services but may not be able to complete the auto-provisioning step.
  6. Click Generate API Key
  7. Copy both the Key ID and the Key Secret — the secret is only shown once

Authenticate clickhousectl with the key

Ask the user to open a new terminal tab in the same working directory and run the login command there with their Key ID and Secret — this keeps the secret out of the chat session. Tell them to come back and let you know once it's done.

clickhousectl cloud login --api-key <key> --api-secret <secret>

Both --api-key and --api-secret are required — if the user only has one, tell them both are needed.


To verify authentication works:

clickhousectl cloud org list

This should return the user's organization.


Step 3: Create a cloud service

Create a new ClickHouse Cloud service:

clickhousectl cloud service create --name <service-name>

From the output, add the HTTPS host and port to .env as CLICKHOUSE_HOST and CLICKHOUSE_PORT. Make sure .env is gitignored.

Then poll until the service state is running:

clickhousectl cloud service get <service-id>

Step 4: Migrate schemas

If the user has local table definitions (e.g., from using the clickhousectl-local-dev skill), migrate them to the cloud service.

Use cloud service query to run SQL against the cloud service over HTTP. Just pass the service name (or --id).

Read the local schema files from clickhouse/tables/ and apply each one to the cloud service:

clickhousectl cloud service query --name <service-name> \
  --queries-file clickhouse/tables/<table>.sql

Apply them in dependency order — tables referenced by materialized views should be created first.

Also apply materialized views if they exist:

clickhousectl cloud service query --name <service-name> \
  --queries-file clickhouse/materialized_views/<view>.sql

To target a specific database, pass --database <name>.


Step 5: Verify the deployment

Connect to the cloud service and confirm tables exist:

clickhousectl cloud service query --name <service-name> --query "SHOW TABLES"

Run a test query to confirm the schema is correct:

clickhousectl cloud service query --name <service-name> --query "DESCRIBE TABLE <table-name>"

Step 6: Create a dedicated user for the application

The default user has full admin rights and should not be used by the application. Create a dedicated user scoped to the schema deployed in Step 4.

Generate a strong random password and append the credentials to .env before creating the user, so the password is persisted even if a subsequent step fails:

PASSWORD=$(openssl rand -base64 32)
echo "CLICKHOUSE_USER=app_user" >> .env
echo "CLICKHOUSE_PASSWORD=$PASSWORD" >> .env

Then create the user and grant the minimum permissions the app needs. Replace <database> with the database the schema lives in (often default):

clickhousectl cloud service query --name <service-name> --query \
  "CREATE USER app_user IDENTIFIED BY '$PASSWORD'"

clickhousectl cloud service query --name <service-name> --query \
  "GRANT SELECT, INSERT ON <database>.* TO app_user"

Adjust the grants to fit the app:

  • Read-only app → drop INSERT
  • Needs to create/drop its own tables → also grant CREATE TABLE, DROP TABLE on the database (but prefer running migrations as the admin user instead)
  • Multiple databases → repeat the GRANT per database, or scope per table with ON <database>.<table>

Verify the user exists and has the expected grants:

clickhousectl cloud service query --name <service-name> --query "SHOW GRANTS FOR app_user"

ClickHouse cannot reveal the password later, so if .env is lost, the user must reset the password via ALTER USER app_user IDENTIFIED BY '<new>'.


The application can now use the credentials in .env to connect to ClickHouse Cloud.

clickhouseのその他のスキル

chdb-sql
clickhouse
PythonでClickHouse SQLを直接実行 — サーバー不要。ローカルファイル、リモートデータベース、クラウドストレージをフルパワーのClickHouse SQLでクエリ可能。
official
chdb-datastore
clickhouse
DataStoreは遅延評価型の、ClickHouseをバックエンドとするpandasの代替品です。既存のpandasコードはそのまま動作しますが、操作は最適化されたSQLにコンパイルされ、結果が必要になったとき(例:print()、len()、イテレーション)にのみ実行されます。
official
clickhouse-architecture-advisor
clickhouse
ClickHouseアーキテクチャの設計、取り込みまたはモデリングパターンの選択、ベストプラクティスをワークロード固有のシステムに変換する際に必ず使用してください…
official
clickhouse-best-practices
clickhouse
ClickHouseのベストプラクティス28ルールを、スキーマ設計、クエリ最適化、データ取り込み戦略に分類。プライマリキーとデータ型の選択(不変の設計判断)、JOINとクエリの最適化、挿入のバッチ処理とミューテーション回避の3つの重要領域をカバー。影響度で優先順位付けされた28ルールを含み、ClickHouseのカラムナストレージとスパースインデックスの仕組みにより、スキーマ設計とクエリ最適化のルールはCRITICALとマーク。構造化されたレビュー手順を提供...
official
clickhousectl-local-dev
clickhouse
ClickHouseでアプリケーションを構築したい場合、ローカルのClickHouse開発環境をセットアップする、ClickHouseをインストールする、ローカルサーバーを作成する、…
official
setup
clickhouse
このプラグインにバンドルされているClickHouse MCPサーバー接続のセットアップをユーザーに案内します。ユーザーが初めてプラグインをインストールしたときや、問題が発生したときに使用します…
official
clickhouse-js-node-coding
clickhouse
参照: https://clickhouse.com/docs/integrations/javascript
official
clickhouse-js-node-troubleshooting
clickhouse
参照: https://clickhouse.com/docs/integrations/javascript
official