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docs/tutorials/getting-started-mysql.md
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docs/tutorials/getting-started-mysql.md
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# Getting started with MySQL
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This tutorial assumes that the latest version of sqlc is
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[installed](../overview/install.md) and ready to use.
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We'll generate Go code here, but other
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[language plugins](../reference/language-support.md) are available. You'll
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naturally need the Go toolchain if you want to build and run a program with the
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code sqlc generates, but sqlc itself has no dependencies.
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At the end, you'll push your SQL queries to [sqlc Cloud](https://dashboard.sqlc.dev/) for further insights and analysis.
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## Setting up
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Create a new directory called `sqlc-tutorial` and open it up.
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Initialize a new Go module named `tutorial.sqlc.dev/app`
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```shell
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go mod init tutorial.sqlc.dev/app
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```
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sqlc looks for either a `sqlc.(yaml|yml)` or `sqlc.json` file in the current
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directory. In our new directory, create a file named `sqlc.yaml` with the
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following contents:
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```yaml
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version: "2"
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sql:
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- engine: "mysql"
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queries: "query.sql"
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schema: "schema.sql"
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gen:
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go:
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package: "tutorial"
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out: "tutorial"
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```
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## Schema and queries
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sqlc needs to know your database schema and queries in order to generate code.
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In the same directory, create a file named `schema.sql` with the following
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content:
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```sql
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CREATE TABLE authors (
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id BIGINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
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name text NOT NULL,
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bio text
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);
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```
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Next, create a `query.sql` file with the following four queries:
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```sql
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-- name: GetAuthor :one
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SELECT * FROM authors
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WHERE id = ? LIMIT 1;
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-- name: ListAuthors :many
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SELECT * FROM authors
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ORDER BY name;
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-- name: CreateAuthor :execresult
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INSERT INTO authors (
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name, bio
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) VALUES (
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?, ?
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);
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-- name: DeleteAuthor :exec
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DELETE FROM authors
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WHERE id = ?;
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```
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## Generating code
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You are now ready to generate code. You shouldn't see any output when you run
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the `generate` subcommand, unless something goes wrong:
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```shell
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sqlc generate
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```
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You should now have a `tutorial` subdirectory with three files containing Go
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source code. These files comprise a Go package named `tutorial`:
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```
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├── go.mod
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├── query.sql
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├── schema.sql
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├── sqlc.yaml
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└── tutorial
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├── db.go
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├── models.go
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└── query.sql.go
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```
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## Using generated code
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You can use your newly-generated `tutorial` package from any Go program.
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Create a file named `tutorial.go` and add the following contents:
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```go
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package main
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import (
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"context"
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"database/sql"
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"log"
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"reflect"
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_ "github.com/go-sql-driver/mysql"
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"tutorial.sqlc.dev/app/tutorial"
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)
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func run() error {
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ctx := context.Background()
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db, err := sql.Open("mysql", "user:password@/dbname?parseTime=true")
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if err != nil {
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return err
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}
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queries := tutorial.New(db)
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// list all authors
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authors, err := queries.ListAuthors(ctx)
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if err != nil {
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return err
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}
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log.Println(authors)
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// create an author
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result, err := queries.CreateAuthor(ctx, tutorial.CreateAuthorParams{
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Name: "Brian Kernighan",
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Bio: sql.NullString{String: "Co-author of The C Programming Language and The Go Programming Language", Valid: true},
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})
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if err != nil {
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return err
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}
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insertedAuthorID, err := result.LastInsertId()
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if err != nil {
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return err
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}
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log.Println(insertedAuthorID)
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// get the author we just inserted
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fetchedAuthor, err := queries.GetAuthor(ctx, insertedAuthorID)
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if err != nil {
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return err
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}
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// prints true
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log.Println(reflect.DeepEqual(insertedAuthorID, fetchedAuthor.ID))
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return nil
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}
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func main() {
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if err := run(); err != nil {
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log.Fatal(err)
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}
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}
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```
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Before this code will compile you'll need to fetch the relevant MySQL driver:
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```shell
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go get github.com/go-sql-driver/mysql
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go build .
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```
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The program should compile without errors. To make that possible, sqlc generates
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readable, **idiomatic** Go code that you otherwise would've had to write
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yourself. Take a look in `tutorial/query.sql.go`.
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Of course for this program to run successfully you'll need
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to compile after replacing the database connection parameters in the call to
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`sql.Open()` with the correct parameters for your database. And your
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database must have the `authors` table as defined in `schema.sql`.
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You should now have a working program using sqlc's generated Go source code,
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and hopefully can see how you'd use sqlc in your own real-world applications.
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## Query verification
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[sqlc Cloud](https://dashboard.sqlc.dev) provides additional verification, catching subtle bugs. To get started, create a
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[dashboard account](https://dashboard.sqlc.dev). Once you've signed in, create a
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project and generate an auth token. Add your project's ID to the `cloud` block
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to your sqlc.yaml.
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```yaml
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version: "2"
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cloud:
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# Replace <PROJECT_ID> with your project ID from the sqlc Cloud dashboard
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project: "<PROJECT_ID>"
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sql:
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- engine: "mysql"
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queries: "query.sql"
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schema: "schema.sql"
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gen:
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go:
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package: "tutorial"
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out: "tutorial"
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```
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Replace `<PROJECT_ID>` with your project ID from the sqlc Cloud dashboard. It
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will look something like `01HA8SZH31HKYE9RR3N3N3TSJM`.
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And finally, set the `SQLC_AUTH_TOKEN` environment variable:
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```shell
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export SQLC_AUTH_TOKEN="<your sqlc auth token>"
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```
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```shell
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$ sqlc push --tag tutorial
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```
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