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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: TiDB Cloud Serverless Driver Kysely Tutorial | ||
| summary: Learn how to use TiDB Cloud serverless driver with Kysely. | ||
| --- | ||
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| # TiDB Cloud Serverless Driver Kysely Tutorial | ||
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| [Kysely](https://kysely.dev/docs/intro) is a type-safe and autocompletion-friendly TypeScript SQL query builder. TiDB Cloud offers [@tidbcloud/kysely](https://github.com/tidbcloud/kysely), enabling you to use Kysely over HTTPS with [TiDB Cloud serverless driver](/tidb-cloud/serverless-driver.md). Compared with the traditional TCP way, [@tidbcloud/kysely](https://github.com/tidbcloud/kysely) brings the following benefits: | ||
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| - Better performance in serverless environments. | ||
| - Ability to use Kysely in edge environments. | ||
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| This tutorial describes how to use TiDB Cloud serverless driver with Kysely in Node.js environments and edge environments. | ||
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| ## Use TiDB Cloud Kysely dialect in Node.js environments | ||
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| This section describes how to use TiDB Cloud serverless driver with Kysely in Node.js environments. | ||
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| ### Before you begin | ||
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| To complete this tutorial, you need the following: | ||
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| - [Node.js](https://nodejs.org/en) >= 18.0.0. | ||
| - [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) or your preferred package manager. | ||
| - A TiDB Serverless cluster. If you don't have any, you can [create a TiDB Serverless cluster](/develop/dev-guide-build-cluster-in-cloud.md). | ||
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| ### Step 1. Create a project | ||
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| 1. Create a project named `kysely-node-example`: | ||
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| ``` | ||
| mkdir kysely-node-example | ||
| cd kysely-node-example | ||
| ``` | ||
| 2. Install the `kysely`, `@tidbcloud/kysely`, and `@tidbcloud/serverless` packages: | ||
| ``` | ||
| npm install kysely @tidbcloud/kysely @tidbcloud/serverless | ||
| ``` | ||
| 3. In the root directory of your project, locate the `package.json` file, and then specify the ES module by adding `type: "module"` to the file: | ||
| ```json | ||
| { | ||
| "type": "module", | ||
| "dependencies": { | ||
| "@tidbcloud/kysely": "^0.0.4", | ||
| "@tidbcloud/serverless": "^0.0.7", | ||
| "kysely": "^0.26.3", | ||
| } | ||
| } | ||
| ``` | ||
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| 4. In the root directory of your project, add a `tsconfig.json` file to define the TypeScript compiler options. Here is an example file: | ||
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| ```json | ||
| { | ||
| "compilerOptions": { | ||
| "module": "ES2022", | ||
| "target": "ES2022", | ||
| "moduleResolution": "node", | ||
| "strict": false, | ||
| "declaration": true, | ||
| "outDir": "dist", | ||
| "removeComments": true, | ||
| "allowJs": true, | ||
| "esModuleInterop": true, | ||
| "resolveJsonModule": true | ||
| } | ||
| } | ||
| ``` | ||
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| ### Step 2. Set the environment | ||
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| 1. On the overview page of your TiDB Serverless cluster, click **Connect** in the upper-right corner, and then get the connection string for your database from the displayed dialog. The connection string looks like this: | ||
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| ``` | ||
| mysql://[username]:[password]@[host]/[database] | ||
| ``` | ||
| 2. Set the environment variable `DATABASE_URL` in your local environment. For example, in Linux or macOS, you can run the following command: | ||
| ```bash | ||
| export DATABASE_URL='mysql://[username]:[password]@[host]/[database]' | ||
| ``` | ||
| ### Step 3. Use Kysely to query data | ||
| 1. Create a table in your TiDB Serverless cluster and insert some data. | ||
| You can use [Chat2Query in the TiDB Cloud console](/tidb-cloud/explore-data-with-chat2query.md) to execute SQL statements. Here is an example: | ||
| ```sql | ||
| CREATE TABLE `test`.`person` ( | ||
| `id` int(11) NOT NULL AUTO_INCREMENT, | ||
| `name` varchar(255) NULL DEFAULT NULL, | ||
| `gender` enum('male','female') NULL DEFAULT NULL, | ||
| PRIMARY KEY (`id`) USING BTREE | ||
| ); | ||
| insert into test.person values (1,'pingcap','male') | ||
| ``` | ||
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| 2. In the root directory of your project, create a file named `hello-word.ts` and add the following code: | ||
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| ```ts | ||
| import { Kysely,GeneratedAlways,Selectable } from 'kysely' | ||
| import { TiDBServerlessDialect } from '@tidbcloud/kysely' | ||
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| // Types | ||
| interface Database { | ||
| person: PersonTable | ||
| } | ||
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| interface PersonTable { | ||
| id: GeneratedAlways<number> | ||
| name: string | ||
| gender: "male" | "female" | ||
| } | ||
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| // Dialect | ||
| const db = new Kysely<Database>({ | ||
| dialect: new TiDBServerlessDialect({ | ||
| url: process.env.DATABASE_URL | ||
| }), | ||
| }) | ||
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| // Simple Querying | ||
| type Person = Selectable<PersonTable> | ||
| export async function findPeople(criteria: Partial<Person> = {}) { | ||
| let query = db.selectFrom('person') | ||
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| if (criteria.name){ | ||
| query = query.where('name', '=', criteria.name) | ||
| } | ||
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| return await query.selectAll().execute() | ||
| } | ||
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| console.log(await findPeople()) | ||
| ``` | ||
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| ### Step 4. Run the Typescript code | ||
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| 1. Install `ts-node` to transform TypeScript into JavaScript, and then install `@types/node` to provide TypeScript type definitions for Node.js. | ||
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| ``` | ||
| npm install -g ts-node | ||
| npm i --save-dev @types/node | ||
| ``` | ||
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| 2. Run the Typescript code with the following command: | ||
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| ``` | ||
| ts-node --esm hello-world.ts | ||
| ``` | ||
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| ## Use TiDB Cloud Kysely dialect in edge environments | ||
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| This section takes the TiDB Cloud Kysely dialect in Vercel Edge Function as an example. | ||
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| ### Before you begin | ||
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| To complete this tutorial, you need the following: | ||
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| - A [Vercel](https://vercel.com/docs) account that provides edge environment. | ||
| - [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) or your preferred package manager. | ||
| - A TiDB Serverless cluster. If you don't have any, you can [create a TiDB Serverless cluster](/develop/dev-guide-build-cluster-in-cloud.md). | ||
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| ### Step 1. Create a project | ||
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| 1. Install the Vercel CLI: | ||
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| ``` | ||
| npm i -g vercel@latest | ||
| ``` | ||
| 2. Create a [Next.js](https://nextjs.org/) project called `kysely-example` using the following terminal commands: | ||
| ``` | ||
| npx create-next-app@latest kysely-example --ts --no-eslint --tailwind --no-src-dir --app --import-alias "@/*" | ||
| cd kysely-example | ||
| ``` | ||
| 3. Install the `kysely`, `@tidbcloud/kysely`, and `@tidbcloud/serverless` packages: | ||
| ``` | ||
| npm install kysely @tidbcloud/kysely @tidbcloud/serverless | ||
| ``` | ||
| ### Step 2. Set the environment | ||
| On the overview page of your TiDB Serverless cluster, click **Connect** in the upper-right corner, and then get the connection string for your database from the displayed dialog. The connection string looks like this: | ||
| ``` | ||
| mysql://[username]:[password]@[host]/[database] | ||
| ``` | ||
| ### Step 3. Create an edge function | ||
| 1. Create a table in your TiDB Serverless cluster and insert some data. | ||
| You can use [Chat2Query in the TiDB Cloud console](/tidb-cloud/explore-data-with-chat2query.md) to execute SQL statements. Here is an example: | ||
| ```sql | ||
| CREATE TABLE `test`.`person` ( | ||
| `id` int(11) NOT NULL AUTO_INCREMENT, | ||
| `name` varchar(255) NULL DEFAULT NULL, | ||
| `gender` enum('male','female') NULL DEFAULT NULL, | ||
| PRIMARY KEY (`id`) USING BTREE | ||
| ); | ||
| insert into test.person values (1,'pingcap','male') | ||
| ``` | ||
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| 2. In the `app` directory of your project, create a file `/api/edge-function-example/route.ts` and add the following code: | ||
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| ```ts | ||
| import { NextResponse } from 'next/server'; | ||
| import type { NextRequest } from 'next/server'; | ||
| import { Kysely,GeneratedAlways,Selectable } from 'kysely' | ||
| import { TiDBServerlessDialect } from '@tidbcloud/kysely' | ||
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| export const runtime = 'edge'; | ||
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| // Types | ||
| interface Database { | ||
| person: PersonTable | ||
| } | ||
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| interface PersonTable { | ||
| id: GeneratedAlways<number> | ||
| name: string | ||
| gender: "male" | "female" | "other" | ||
| } | ||
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| // Dialect | ||
| const db = new Kysely<Database>({ | ||
| dialect: new TiDBServerlessDialect({ | ||
| url: process.env.DATABASE_URL | ||
| }), | ||
| }) | ||
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| // Query | ||
| type Person = Selectable<PersonTable> | ||
| async function findPeople(criteria: Partial<Person> = {}) { | ||
| let query = db.selectFrom('person') | ||
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| if (criteria.name){ | ||
| query = query.where('name', '=', criteria.name) | ||
| } | ||
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| return await query.selectAll().execute() | ||
| } | ||
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| export async function GET(request: NextRequest) { | ||
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| const searchParams = request.nextUrl.searchParams | ||
| const query = searchParams.get('query') | ||
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| let response = null; | ||
| if (query) { | ||
| response = await findPeople({name: query}) | ||
| } else { | ||
| response = await findPeople() | ||
| } | ||
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| return NextResponse.json(response); | ||
| } | ||
| ``` | ||
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| The preceding code accepts a query parameter `query` and returns the result of the query. If the query parameter is not provided, it returns all records in the `person` table. | ||
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| 3. Test your code locally: | ||
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| ``` | ||
| export DATABASE_URL='mysql://[username]:[password]@[host]/[database]' | ||
| next dev | ||
| ``` | ||
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| 4. Navigate to `http://localhost:3000/api/edge-function-example` to get the response from your route. | ||
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| ### Step 4. Deploy your code to Vercel | ||
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| 1. Deploy your code to Vercel with the `DATABASE_URL` environment variable: | ||
|
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| ``` | ||
| vercel -e DATABASE_URL='mysql://[username]:[password]@[host]/[database]' --prod | ||
| ``` | ||
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| After the deployment is complete, you will get the URL of your project. | ||
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| 2. Navigate to the `${Your-URL}/api/edge-function-example` page to get the response from your route. | ||
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| ## What's next | ||
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| - Learn more about [Kysely](https://kysely.dev/docs/intro) and [@tidbcloud/kysely](https://github.com/tidbcloud/kysely) | ||
| - Learn how to [integrate TiDB Cloud with Vercel](/tidb-cloud/integrate-tidbcloud-with-vercel.md) |
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