# SQLBoiler [![License](https://img.shields.io/badge/license-BSD-blue.svg)](https://github.com/vattle/sqlboiler/blob/master/LICENSE) [![GoDoc](https://godoc.org/github.com/vattle/sqlboiler?status.svg)](https://godoc.org/github.com/vattle/sqlboiler) [![CircleCI](https://circleci.com/gh/vattle/sqlboiler.svg?style=shield)](https://circleci.com/gh/vattle/sqlboiler) [![Go Report Card](https://goreportcard.com/badge/vattle/sqlboiler)](http://goreportcard.com/report/vattle/sqlboiler) SQLBoiler is a tool to generate a Go data model tailored to your database schema. It is a "database-first" ORM as opposed to "code-first" (like gorm/gorp). That means you must first create your database schema. Please use something like goose or some other migration tool to manage this part of the database's lifecycle. ## Why? Well... ## About SQL Boiler ### Features - Full model generation - High performance through generation - Extremely fast code generation - Uses boil.Executor (simple interface, sql.DB, sqlx.DB etc. compatible) - Easy workflow (models can always be regenerated, full auto-complete) - Strongly typed querying (usually no converting or binding to pointers) - Hooks (Before/After Create/Select/Update/Delete/Upsert) - Automatic CreatedAt/UpdatedAt - Relationships/Associations - Eager loading (recursive) - Transactions - Raw SQL fallbacks - Compatibility tests (Run against your own DB schema) - Debug logging ### Supported Databases - PostgreSQL *Note: Seeking contributors for other database engines.* ### A Small Taste For a comprehensive list of available operations and examples please see [Features & Examples](#features--examples). ```go import ( // Import this so we don't have to use qm.Limit etc. . "github.com/vattle/sqlboiler/boil/qm" ) // Open handle to database like normal db, err := sql.Open("postgres", "dbname=fun user=abc") if err != nil { return err } // Query all users users, err := models.Users(db).All() // Panic-able if you like to code that way users := models.Users(db).AllP() // More complex query users, err := models.Users(db, Where("age > ?", 30), Limit(5), Offset(6)).All() // Ultra complex query users, err := models.Users(db, Select("id", "name"), InnerJoin("credit_cards c on c.user_id = users.id"), Where("age > ?", 30), AndIn("c.kind in ?", "visa", "mastercard"), Or("email like ?", "%aol.com%"), GroupBy("id", "name"), Having("count(c.id) > ?", 2), Limit(5), Offset(6), ).All() // Use any "boil.Executor" implementation (*sql.DB, *sql.Tx, data-dog mock db) // for any query. tx, err := db.Begin() if err != nil { return err } users, err := models.Users(tx).All() // Relationships user, err := models.Users(db).One() if err != nil { return err } movies, err := user.FavoriteMovies(db).All() // Eager loading users, err := models.Users(db, Load("FavoriteMovies")).All() if err != nil { return err } fmt.Println(len(users.R.FavoriteMovies)) ``` ## Requirements & Pro Tips ### Requirements * Table names and column names should use `snake_case` format. * At the moment we require `snake_case` table names and column names. This is a recommended default in Postgres. We can reassess this for future database drivers. * Join tables should use a *composite primary key*. * For join tables to be used transparently for relationships your join table must have a *composite primary key* that encompasses both foreign table foreign keys. For example, on a join table named `user_videos` you should have: `primary key(user_id, video_id)`, with both `user_id` and `video_id` being foreign key columns to the users and videos tables respectively. ### Pro Tips * Foreign key column names should end with `_id`. * Foreign key column names in the format `x_id` will generate clearer method names. It is advisable to use this naming convention whenever it makes sense for your database schema. * If you never plan on using the hooks functionality you can disable generation of this feature using the `--no-hooks` flag. This will save you some binary size. ## Getting started #### Download ```shell go get -u -t github.com/vattle/sqlboiler ``` #### Configuration Create a configuration file. Because the project uses [viper](github.com/spf13/viper), TOML, JSON and YAML are all supported. Environment variables are also able to be used. We will assume TOML for the rest of the documentation. The configuration file should be named `sqlboiler.toml` and is searched for in the following directories in this order: - `./` - `$XDG_CONFIG_HOME/sqlboiler/` - `$HOME/.config/sqlboiler/` We require you pass in the `postgres` configuration via the configuration file rather than env vars. There is no command line argument support for database configuration. Values given under the `postgres` block are passed directly to the [pq](github.com/lib/pq) driver. Here is a rundown of all the different values that can go in that section: | Name | Required | Default | | --- | --- | --- | | dbname | yes | none | | host | yes | none | | port | no | 5432 | | user | yes | none | | pass | no | none | | sslmode | no | "require" | You can also pass in these top level configuration values if you would prefer not to pass them through the command line or environment variables: | Name | Default | | --- | --- | | base_dir | none | | pkg_name | "models" | | out_folder| "models" | | exclude | [ ] | Example: ```toml [postgres] dbname="dbname" host="localhost" port=5432 user="dbusername" pass="dbpassword" ``` #### Initial Generation After creating a configuration file that points at the database we want to generate models for, we can invoke the sqlboiler command line utility. ```text SQL Boiler generates a Go ORM from template files, tailored to your database schema. Complete documentation is available at http://github.com/vattle/sqlboiler Usage: sqlboiler [flags] Examples: sqlboiler postgres Flags: -b, --basedir string The base directory templates and templates_test folders are -d, --debug Debug mode prints stack traces on error -x, --exclude stringSlice Tables to be excluded from the generated package (default []) --no-auto-timestamps Disable automatic timestamps for created_at/updated_at --no-hooks Disable hooks feature for your models -o, --output string The name of the folder to output to (default "models") -p, --pkgname string The name you wish to assign to your generated package (default "models") ``` Follow the steps below to do some basic model generation. Once we've generated our models, we can run the compatibility tests which will exercise the entirety of the generated code. This way we can ensure that our database is compatible with sqlboiler. If you find there are some failing tests, please check the [Diagnosing Problems](#diagnosing-problems) section. ```shell # Generate our models and exclude the migrations table sqlboiler -x goose_migrations postgres # Run the generated tests go test ./models # This requires an administrator postgres user because of some # voodoo we do to disable triggers for the generated test db ``` ## Diagnosing Problems The most common causes of problems and panics are: - Forgetting to exclude tables you do not want included in your generation, like migration tables. - Tables without a primary key. All tables require one. - Forgetting foreign key constraints on your columns that reference other tables. - The compatibility tests that run against your own DB schema require a superuser, ensure the user supplied in your config has adequate privileges. - A nil or closed database handle. Ensure your passed in `boil.Executor` is not nil. - If you decide to use the `G` variant of functions instead, make sure you've initialized your global database handle using `boil.SetDB()`. For errors with other causes, it may be simple to debug yourself by looking at the generated code. Setting `boil.DebugMode` to `true` can help with this. You can change the output using `boil.DebugWriter` (defaults to `os.Stdout`). If you're still stuck and/or you think you've found a bug, feel free to leave an issue and we'll do our best to help you. ## Features & Examples ### Function Variations ### Automatic CreatedAt/UpdatedAt If your generated SQLBoiler models package can find columns with the names `created_at` or `updated_at` it will automatically set them to `time.Now()` in your database, and update your object appropriately. To disable this feature use `--no-auto-timestamps`. Note: You can set the timezone for this feature by calling `boil.SetLocation()` #### Overriding Automatic Timestamps * **Insert** * Timestamps for both `updated_at` and `created_at` that are zero values will be set automatically. * To set the timestamp to null, set `Valid` to false and `Time` to a non-zero value. This is somewhat of a work around until we can devise a better solution in a later version. * **Update** * The `updated_at` column will always be set to `time.Now()`. If you need to override this value you will need to fall back to another method in the meantime: `boil.SQL()`, overriding `updated_at` in all of your objects using a hook, or create your own wrapper. * **Upsert** * `created_at` will be set automatically if it is a zero value, otherwise your supplied value will be used. To set `created_at` to `null`, set `Valid` to false and `Time` to a non-zero value. * The `updated_at` column will always be set to `time.Now()`. ### Hooks ### Query Mod System ### Finishers ### Raw Query ### Binding ### Transactions ### Debug Logging ### Select ### Find ### Insert ### Update updateall slice and query ### Delete deleteall slice and query ### Upsert ### Reload reloadall slice ### Relationships relationships to one and to many relationship set ops (to one: set, remove, tomany: add, set, remove) eager loading (nested and flat) ## Benchmarks ## FAQ ### Won't compiling models for a huge database be very slow? No, because Go's toolchain - unlike traditional toolchains - makes the compiler do most of the work instead of the linker. This means that when the first `go install` is done it can take a little bit of time because there is a lot of code that is generated. However, because of this work balance between the compiler and linker in Go, linking to that code afterwards in the subsequent compiles is extremely fast.