sqlboiler

Generate a Go ORM tailored to your database schema.

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sqlx

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Simple and Powerful ORM for Go, support mysql,postgres,tidb,sqlite3,mssql,oracle, Moved to https://gitea.com/xorm/xorm

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Data Access Layer (DAL) for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features.

Quick Overview

SQLBoiler is a powerful and flexible ORM (Object-Relational Mapping) tool for Go. It generates type-safe, idiomatic Go code from database schemas, allowing developers to interact with databases using Go structs and methods instead of raw SQL queries.

Pros

Generates type-safe, database-specific code for optimal performance
Supports multiple database engines (PostgreSQL, MySQL, SQLite, and more)
Provides a query builder for complex queries and relationships
Offers hooks and middleware for customizing behavior

Cons

Requires code generation, which can add complexity to the development workflow
May have a steeper learning curve compared to simpler ORMs
Generated code can be verbose and increase codebase size
Limited support for schema migrations (requires separate tools)

Code Examples

Querying all records:

users, err := models.Users().All(ctx, db)
if err != nil {
    log.Fatal(err)
}
for _, user := range users {
    fmt.Println(user.Name)
}

Inserting a new record:

newUser := models.User{
    Name:  "John Doe",
    Email: "john@example.com",
}
err := newUser.Insert(ctx, db, boil.Infer())
if err != nil {
    log.Fatal(err)
}

Updating a record:

user, err := models.FindUser(ctx, db, 1)
if err != nil {
    log.Fatal(err)
}
user.Email = "newemail@example.com"
_, err = user.Update(ctx, db, boil.Infer())
if err != nil {
    log.Fatal(err)
}

Using the query builder:

users, err := models.Users(
    qm.Where("age > ?", 18),
    qm.OrderBy("name ASC"),
    qm.Limit(10),
).All(ctx, db)
if err != nil {
    log.Fatal(err)
}

Getting Started

Install SQLBoiler:

go install github.com/volatiletech/sqlboiler/v4@latest
go install github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-psql@latest

Create a sqlboiler.toml configuration file:

[psql]
dbname = "your_database"
host = "localhost"
port = 5432
user = "your_username"
pass = "your_password"
schema = "public"

Generate models:
```
sqlboiler psql
```

Use the generated models in your Go code:

import (
    "context"
    "database/sql"
    "your_project/models"
    _ "github.com/lib/pq"
)

func main() {
    db, _ := sql.Open("postgres", "your_connection_string")
    ctx := context.Background()
    users, _ := models.Users().All(ctx, db)
    // Use the users...
}

Competitor Comparisons

sqlx

16,124

general purpose extensions to golang's database/sql

Pros of sqlx

Lightweight and simple to use, with a gentle learning curve
Supports both database-specific and database-agnostic queries
Provides a good balance between raw SQL and ORM-like features

Cons of sqlx

Lacks automatic code generation for models and queries
Doesn't provide as many advanced features for complex queries and relationships
May require more manual SQL writing for complex operations

Code Comparison

sqlx:

var users []User
err := db.Select(&users, "SELECT * FROM users WHERE status = ?", "active")

sqlboiler:

users, err := models.Users(
    qm.Where("status = ?", "active"),
).All(ctx, db)

Summary

sqlx is a lightweight SQL package that extends Go's database/sql package, offering a balance between raw SQL and ORM-like features. It's easy to use and provides flexibility for both database-specific and agnostic queries. However, it lacks automatic code generation and some advanced features found in sqlboiler.

sqlboiler, on the other hand, is a more powerful ORM-like tool that generates code based on your database schema. It offers advanced querying capabilities and relationship handling but may have a steeper learning curve compared to sqlx.

Choose sqlx for simpler projects or when you prefer more control over your SQL queries. Opt for sqlboiler when working on larger projects that benefit from code generation and more advanced ORM features.

gorm

36,742

The fantastic ORM library for Golang, aims to be developer friendly

Pros of GORM

More intuitive and easier to learn for beginners
Supports multiple database systems out of the box
Offers a wide range of built-in features like hooks, transactions, and migrations

Cons of GORM

Performance can be slower due to reflection-based approach
Less type-safe compared to code generation methods
May lead to runtime errors that could be caught at compile-time

Code Comparison

GORM example:

db.Where("name = ?", "jinzhu").First(&user)

SQLBoiler example:

user, err := models.Users(qm.Where("name=?", "jinzhu")).One(ctx, db)

Key Differences

SQLBoiler generates type-safe code based on your database schema, offering better performance and compile-time error checking. GORM, on the other hand, uses a reflection-based approach, providing more flexibility but potentially sacrificing some performance.

GORM is more feature-rich out of the box, with built-in support for various database systems and additional functionalities like hooks and migrations. SQLBoiler focuses on generating efficient, type-safe code tailored to your specific database schema.

While GORM might be easier for beginners to pick up, SQLBoiler's generated code can lead to fewer runtime errors and better performance in the long run, especially for larger projects.

sqlc

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Generate type-safe code from SQL

Pros of sqlc

Generates type-safe Go code directly from SQL queries
Supports a wider range of databases, including PostgreSQL, MySQL, and SQLite
Offers better performance due to its static query analysis

Cons of sqlc

Requires writing raw SQL queries, which may be less convenient for some developers
Limited support for complex queries and advanced ORM features
Steeper learning curve for developers not familiar with SQL

Code Comparison

sqlc:

-- name: GetAuthor :one
SELECT * FROM authors
WHERE id = $1 LIMIT 1;

SQLBoiler:

author, err := models.FindAuthor(ctx, db, authorID)
if err != nil {
    return nil, err
}

Summary

sqlc focuses on generating type-safe Go code from SQL queries, offering better performance and wider database support. However, it requires writing raw SQL and has a steeper learning curve. SQLBoiler, on the other hand, provides a more traditional ORM approach with auto-generated models and query builders, which may be more familiar to some developers but potentially less performant for complex queries.

xorm

6,665

Simple and Powerful ORM for Go, support mysql,postgres,tidb,sqlite3,mssql,oracle, Moved to https://gitea.com/xorm/xorm

Pros of xorm

Supports more databases out of the box, including SQLite, MySQL, PostgreSQL, and others
Provides built-in caching mechanisms for improved performance
Offers a more flexible API for complex queries and operations

Cons of xorm

Generally slower performance compared to SQLBoiler's generated code
Less type-safe due to its reliance on reflection
Steeper learning curve for beginners due to its extensive feature set

Code Comparison

SQLBoiler (generated code):

users, err := models.Users().All(ctx, db)
if err != nil {
    return err
}

xorm:

var users []User
err := engine.Find(&users)
if err != nil {
    return err
}

Both SQLBoiler and xorm are popular ORM libraries for Go, but they take different approaches. SQLBoiler generates type-safe code based on your database schema, offering excellent performance and compile-time checks. xorm, on the other hand, provides a more flexible runtime API with support for various databases and features like caching.

SQLBoiler is generally faster and more type-safe, making it a good choice for projects where performance and compile-time safety are crucial. xorm offers more flexibility and built-in features, which can be beneficial for projects requiring support for multiple databases or complex querying capabilities.

The choice between the two depends on your specific project requirements, performance needs, and development preferences.

db

3,535

Data Access Layer (DAL) for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features.

Pros of upper/db

More flexible and supports multiple database backends (MySQL, PostgreSQL, SQLite, MongoDB)
Provides a higher-level abstraction, making it easier to work with databases without writing raw SQL
Offers a simpler API for common database operations

Cons of upper/db

May have a steeper learning curve for developers familiar with raw SQL
Potentially less performant for complex queries compared to hand-optimized SQL
Limited control over generated SQL queries in some cases

Code Comparison

sqlboiler:

users, err := models.Users().All(ctx, db)
if err != nil {
    return err
}

upper/db:

var users []User
err := sess.Collection("users").Find().All(&users)
if err != nil {
    return err
}

Both sqlboiler and upper/db are Go libraries for database operations, but they have different approaches. sqlboiler generates type-safe Go code based on your database schema, providing a more traditional ORM-like experience. upper/db, on the other hand, offers a more flexible and database-agnostic API, allowing developers to work with various database backends using a consistent interface.

While sqlboiler excels in type safety and performance for specific databases, upper/db provides greater flexibility and ease of use across multiple database types. The choice between the two depends on your project requirements, database preferences, and development style.

ent

15,534

An entity framework for Go

Pros of ent

Provides a powerful graph-based ORM with built-in support for complex relationships and traversals
Offers a schema-as-code approach, allowing for type-safe database operations and code generation
Includes built-in support for data validation, hooks, and privacy layers

Cons of ent

Steeper learning curve due to its unique graph-based approach
Less flexible for working with existing database schemas, as it's designed for schema-first development
May have more overhead for simple CRUD operations compared to sqlboiler

Code Comparison

ent:

client := ent.NewClient(ent.Open("sqlite3", "file:ent?mode=memory&cache=shared&_fk=1"))
u, err := client.User.Create().SetName("John").Save(ctx)

sqlboiler:

db, _ := sql.Open("sqlite3", "file:sqlboiler?mode=memory&cache=shared&_fk=1")
u := models.User{Name: "John"}
err := u.Insert(ctx, db, boil.Infer())

Both ent and sqlboiler are powerful Go ORMs, but they take different approaches. ent focuses on graph-based modeling and schema-as-code, while sqlboiler emphasizes database-first development and generates models from existing schemas. ent excels in complex relationship handling, while sqlboiler offers more flexibility with existing databases and simpler CRUD operations.

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README

sqlboiler logo

SQLBoiler is a tool to generate a Go ORM 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 sql-migrate or some other migration tool to manage this part of the database's life-cycle.

Note on versions

v1, v2, and v3 are no longer maintained.

v3 is the last GOPATH-compatible version.

v4 has no real breaking changes between v3 and itself other than Go modules and is the only maintained version. Note this does not work with GOPATH projects.

Why another ORM

While attempting to migrate a legacy Rails database, we realized how much ActiveRecord benefited us in terms of development velocity. Coming over to the Go database/sql package after using ActiveRecord feels extremely repetitive, super long-winded and down-right boring. Being Go veterans we knew the state of ORMs was shaky, and after a quick review we found what our fears confirmed. Most packages out there are code-first, reflect-based and have a very weak story around relationships between models. So with that we set out with these goals:

Work with existing databases: Don't be the tool to define the schema, that's better left to other tools.
ActiveRecord-like productivity: Eliminate all sql boilerplate, have relationships as a first-class concept.
Go-like feel: Work with normal structs, call functions, no hyper-magical struct tags, small interfaces.
Go-like performance: Benchmark and optimize the hot-paths, perform like hand-rolled sql.DB code.

We believe with SQLBoiler and our database-first code-generation approach we've been able to successfully meet all of these goals. On top of that SQLBoiler also confers the following benefits:

The models package is type safe. This means no chance of random panics due to passing in the wrong type. No need for interface{}.
Our types closely correlate to your database column types. This is expanded by our extended null package which supports nearly all Go data types.
A system that is easy to debug. Your ORM is tailored to your schema, the code paths should be easy to trace since it's not all buried in reflect.
Auto-completion provides work-flow efficiency gains.

SQLBoiler
Benchmarks
Third-Party Extensions

About SQL Boiler

Features

Full model generation
Extremely fast code generation
High performance through generation & intelligent caching
Uses boil.Executor (simple interface, sql.DB, sqlx.DB etc. compatible)
Uses context.Context
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
Automatic DeletedAt
Table and column whitelist/blacklist
Relationships/Associations
Eager loading (recursive)
Custom struct tags
Transactions
Raw SQL fallback
Compatibility tests (Run against your own DB schema)
Debug logging
Basic multiple schema support (no cross-schema support)
1d arrays, json, hstore & more
Enum types
Out of band driver support
Support for database views
Supports generated/computed columns

Missing features

Multi-column foreign key support
Materialized view support
- Only postgresql is supported

Supported Databases

Database	Driver Location
PostgreSQL	https://github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-psql
MySQL	https://github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-mysql
MSSQLServer 2012+	https://github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-mssql
SQLite3	https://github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-sqlite3
CockroachDB	https://github.com/glerchundi/sqlboiler-crdb

Note: SQLBoiler supports out of band driver support so you can make your own

We are seeking contributors for other database engines.

A Small Taste

For a comprehensive list of available operations and examples please see Features & Examples.

import (
  // Import this so we don't have to use qm.Limit etc.
  . "github.com/volatiletech/sqlboiler/v4/queries/qm"
)

// Open handle to database like normal
db, err := sql.Open("postgres", "dbname=fun user=abc")
if err != nil {
  return err
}

// If you don't want to pass in db to all generated methods
// you can use boil.SetDB to set it globally, and then use
// the G variant methods like so (--add-global-variants to enable)
boil.SetDB(db)
users, err := models.Users().AllG(ctx)

// Query all users
users, err := models.Users().All(ctx, db)

// Panic-able if you like to code that way (--add-panic-variants to enable)
users := models.Users().AllP(db)

// More complex query
users, err := models.Users(Where("age > ?", 30), Limit(5), Offset(6)).All(ctx, db)

// Ultra complex query
users, err := models.Users(
  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(ctx, db)

// Use any "boil.Executor" implementation (*sql.DB, *sql.Tx, data-dog mock db)
// for any query.
tx, err := db.BeginTx(ctx, nil)
if err != nil {
  return err
}
users, err := models.Users().All(ctx, tx)

// Relationships
user, err := models.Users().One(ctx, db)
if err != nil {
  return err
}
movies, err := user.FavoriteMovies().All(ctx, db)

// Eager loading
users, err := models.Users(Load("FavoriteMovies")).All(ctx, db)
if err != nil {
  return err
}
fmt.Println(len(users.R.FavoriteMovies))

Requirements & Pro Tips

Requirements

Go 1.13, older Go versions are not supported.
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 and no other columns in the table. 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 and there are no other columns on this table.
MySQL 5.6.30 minimum; ssl-mode option is not supported for earlier versions.
For MySQL if using the github.com/go-sql-driver/mysql driver, please activate time.Time parsing when making your MySQL database connection. SQLBoiler uses time.Time and null.Time to represent time in it's models and without this enabled any models with DATE/DATETIME columns will not work.

Pro Tips

SQLBoiler generates type safe identifiers for table names, table column names, a table's relationship names and type-safe where clauses. You should use these instead of strings due to the ability to catch more errors at compile time when your database schema changes. See Constants for details.
It's highly recommended to use transactions where sqlboiler will be doing multiple database calls (relationship setops with insertions for example) for both performance and data integrity.
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

Videos

If you like learning via a video medium, sqlboiler has a number of screencasts available.

NOTE: These videos predate modules (v4), the installation/import paths will be different though everything else should remain similar.

SQLBoiler: Getting Started

SQLBoiler: What's New in v3

SQLBoiler: Advanced Queries and Relationships

Old (v2): SQLBoiler Screencast #1: How to get started

Download

First you have to install the code generator binaries. There's the main binary and then a separate driver binary (select the right one for your database).

Be very careful when installing, there's confusion in the Go ecosystem and knowing what are the right commands to run for which Go version can be tricky. Ensure you don't forget any /v suffixes or you'll end up on an old version.

# Go 1.16 and above:
go install github.com/volatiletech/sqlboiler/v4@latest
go install github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-psql@latest

# Go 1.15 and below:
# Install sqlboiler v4 and the postgresql driver (mysql, mssql, sqlite3 also available)
# NOTE: DO NOT run this inside another Go module (like your project) as it will
# pollute your go.mod with a bunch of stuff you don't want and your binary
# will not get installed.
GO111MODULE=on go get -u -t github.com/volatiletech/sqlboiler/v4
GO111MODULE=on go get github.com/volatiletech/sqlboiler/v4/drivers/sqlboiler-psql

To install sqlboiler as a dependency in your project use the commands below inside of your go module's directory tree. This will install the dependencies into your go.mod file at the correct version.

# Do not forget the trailing /v4 and /v8 in the following commands
go get github.com/volatiletech/sqlboiler/v4
# Assuming you're going to use the null package for its additional null types
go get github.com/volatiletech/null/v8

Configuration

Create a configuration file. Because the project uses viper, TOML, JSON and YAML are all usable but only TOML is supported. Environment variables are also able to be used.

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 will assume TOML for the rest of the documentation.

Database Driver Configuration

The configuration for a specific driver (in these examples we'll use psql) must all be prefixed by the driver name. You must use a configuration file or environment variables for configuring the database driver; there are no command-line options for providing driver-specific configuration.

In the configuration file for postgresql for example you would do:

[psql]
dbname = "your_database_name"

When you use an environment variable it must also be prefixed by the driver name:

PSQL_DBNAME="your_database_name"

The values that exist for the drivers:

Name	Required	Postgres Default	MySQL Default	MSSQL Default
schema	no	"public"	none	"dbo"
dbname	yes	none	none	none
host	yes	none	none	none
port	no	5432	3306	1433
user	yes	none	none	none
pass	no	none	none	none
sslmode	no	"require"	"true"	"true"
whitelist	no	[]	[]	[]
blacklist	no	[]	[]	[]

Example of whitelist/blacklist:

[psql]
# Removes migrations table, the name column from the addresses table, and
# secret_col of any table from being generated. Foreign keys that reference tables
# or columns that are no longer generated because of whitelists or blacklists may
# cause problems.
blacklist = ["migrations", "addresses.name", "*.secret_col"]

Generic config options

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	Defaults
pkgname	"models"
output	"models"
tag	[]
debug	false
add-global-variants	false
add-panic-variants	false
add-enum-types	false
enum-null-prefix	"Null"
no-context	false
no-hooks	false
no-tests	false
no-auto-timestamps	false
no-rows-affected	false
no-driver-templates	false
tag-ignore	[]
strict-verify-mod-version	false

Full Example

output   = "my_models"
wipe     = true
no-tests = true
add-enum-types = true

[psql]
  dbname = "dbname"
  host   = "localhost"
  port   = 5432
  user   = "dbusername"
  pass   = "dbpassword"
  schema = "myschema"
  blacklist = ["migrations", "other"]

[mysql]
  dbname  = "dbname"
  host    = "localhost"
  port    = 3306
  user    = "dbusername"
  pass    = "dbpassword"
  sslmode = "false"
  tinyint_as_int = true

[mssql]
  dbname  = "dbname"
  host    = "localhost"
  port    = 1433
  user    = "dbusername"
  pass    = "dbpassword"
  sslmode = "disable"
  schema  = "notdbo"

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.

SQL Boiler generates a Go ORM from template files, tailored to your database schema.
Complete documentation is available at http://github.com/volatiletech/sqlboiler

Usage:
  sqlboiler [flags] <driver>

Examples:
sqlboiler psql

Flags:
      --add-global-variants        Enable generation for global variants
      --add-panic-variants         Enable generation for panic variants
      --add-soft-deletes           Enable soft deletion by updating deleted_at timestamp
      --add-enum-types             Enable generation of types for enums
      --enum-null-prefix           Name prefix of nullable enum types (default "Null")
  -c, --config string              Filename of config file to override default lookup
  -d, --debug                      Debug mode prints stack traces on error
  -h, --help                       help for sqlboiler
      --no-auto-timestamps         Disable automatic timestamps for created_at/updated_at
      --no-back-referencing        Disable back referencing in the loaded relationship structs
      --no-context                 Disable context.Context usage in the generated code
      --no-driver-templates        Disable parsing of templates defined by the database driver
      --no-hooks                   Disable hooks feature for your models
      --no-rows-affected           Disable rows affected in the generated API
      --no-tests                   Disable generated go test files
  -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")
      --struct-tag-casing string   Decides the casing for go structure tag names. camel, title, alias or snake (default "snake")
  -t, --tag strings                Struct tags to be included on your models in addition to json, yaml, toml
      --tag-ignore strings         List of column names that should have tags values set to '-' (ignored during parsing)
      --templates strings          A templates directory, overrides the embedded template folders in sqlboiler
      --version                    Print the version
      --strict-verify-mod-version  Prevent code generation, if project version of sqlboiler not match with executable
      --wipe                       Delete the output folder (rm -rf) before generation to ensure sanity

Follow the steps below to do some basic model generation. Once you've generated your models, you can run the compatibility tests which will exercise the entirety of the generated code. This way you can ensure that your database is compatible with SQLBoiler. If you find there are some failing tests, please check the Diagnosing Problems section.

# Generate our models and exclude the migrations table
# When passing 'psql' here, it looks for a binary called
# 'sqlboiler-psql' in your CWD and PATH. You can also pass
# an absolute path to a driver if you desire.
sqlboiler psql

# Run the generated tests
go test ./models

Note: No mysqldump or pg_dump equivalent for Microsoft SQL Server, so generated tests must be supplemented by tables_schema.sql with CREATE TABLE ... queries

You can use go generate for SQLBoiler if you want to to make it easy to run the command for your application:

//go:generate sqlboiler --flags-go-here psql

It's important to not modify anything in the output folder, which brings us to the next topic: regeneration.

Regeneration

When regenerating the models it's recommended that you completely delete the generated directory in a build script or use the --wipe flag in SQLBoiler. The reasons for this are that sqlboiler doesn't try to diff your files in any smart way, it simply writes the files it's going to write whether they're there or not and doesn't delete any files that were added by you or previous runs of SQLBoiler. In the best case this can cause compilation errors, in the worst case this may leave extraneous and unusable code that was generated against tables that are no longer in the database.

The bottom line is that this tool should always produce the same result from the same source. And the intention is to always regenerate from a pure state. The only reason the --wipe flag isn't defaulted to on is because we don't like programs that rm -rf things on the filesystem without being asked to.

Controlling Version

When sqlboiler is used on a regular basis, sometimes problems arise on the developers' side that the version they are using does not match the version specified in the project.

Sqlboiler will warn, if version in project and executable mismatch. Sqlboiler can also fail to prevent code generation, when --strict-verify-mod-version flag (or aliased version in toml) is enabled.

Controlling Generation

The templates get executed in a specific way each time. There's a variety of configuration options on the command line/config file that can control what features are turned on or off.

In addition to the command line flags there are a few features that are only available via the config file and can use some explanation.

Aliases

In sqlboiler, names are automatically generated for you. If you name your database entities properly you will likely have descriptive names generated in the end. However in the case where the names in your database are bad AND unchangeable, or sqlboiler's inference doesn't understand the names you do have (even though they are good and correct) you can use aliases to change the name of your tables, columns and relationships in the generated Go code.

Note: It is not required to provide all parts of all names. Anything left out will be inferred as it was in the past.

# Although team_names works fine without configuration, we use it here for illustrative purposes
[aliases.tables.team_names]
up_plural     = "TeamNames"
up_singular   = "TeamName"
down_plural   = "teamNames"
down_singular = "teamName"

  # Columns can also be aliased.
  [aliases.tables.team_names.columns]
  team_name = "OurTeamName"

When creating aliases for relationships, it's important to know how sqlboiler names relationships. For a given table the foreign key name is used as a unique identifier to refer to a given relationship. If you are going to be aliasing relationships it's highly recommended that you name your foreign keys explicitly in your database or the auto-generated names could one day change/break your aliases.

Each relationship has a local and a foreign function name. The function name will be inserted into your generated code as a function to retrieve relationship data as well as refer to the relationship in a few other places. local means "the function name that refers to the table with the foreign key on it" and conversely foreign means "the function that refers to the table the foreign key points to".

For example - let's have a videos -> users many to one relationship that looks like this:

The tables and their columns:

| videos  | users |
|---------|-------|
| user_id | id    |

Our foreign key:
videos_user_id_fkey: videos.user_id -> users.id

In this example local (how we refer to the table with the foreign key) is going to be inferred as Videos. We're going to override that below to be AuthoredVideos.

Conversely foreign (how we refer to the table the foreign key points to) is going to be inferred as User, which we'd like to rename to Author to suit our domain language a bit better.

With the configuration snippet below we can use the following relationship helper functions off of the respective models: video.Author and user.AuthoredVideos which make a bit more sense than the inferred names when we see it in the code for our domain. Note the use of the foreign key name to refer to the relationship in the configuration key.

[aliases.tables.videos.relationships.videos_author_id_fkey]
# The local side would originally be inferred as AuthorVideos, which
# is probably good enough to not want to mess around with this feature, avoid it where possible.
local   = "AuthoredVideos"
# Even if left unspecified, the foreign side would have been inferred correctly
# due to the proper naming of the foreign key column.
foreign = "Author"

In a many-to-many relationship it's a bit more complicated. Let's look at an example relationship between videos <-> tags with a join table in the middle. Imagine if the join table didn't exist, and instead both of the id columns in the join table were slapped on to the tables themselves. You'd have videos.tag_id and tags.video_id. Using a similar method to the above (local is the name with which we refer to the side that has the foreign key) we can rename the relationships. To change Videos.Tags to Videos.Rags we can use the example below.

Keep in mind that naming ONE side of the many-to-many relationship is sufficient as the other side will be automatically mirrored, though you can specify both if you so choose.

[aliases.tables.video_tags.relationships.fk_video_id]
local   = "Rags"
foreign = "Videos"

The above definition will specify Rags as the name of the property with which a given Video entity will be able to access all of it's tags. If we look the other way around - a single Tag entity will refer to all videos that have that specific tag with the Videos property.

There is an alternative syntax available for those who are challenged by the key syntax of toml or challenged by viper lowercasing all of your keys. Instead of using a regular table in toml, use an array of tables, and add a name field to each object. The only one that changes past that is columns, which now has to have a new field called alias.

[[aliases.tables]]
name          = "team_names"
up_plural     = "TeamNames"
up_singular   = "TeamName"
down_plural   = "teamNames"
down_singular = "teamName"

  [[aliases.tables.columns]]
  name  = "team_name"
  alias = "OurTeamName"

  [[aliases.tables.relationships]]
  name    = "fk_video_id"
  local   = "Rags"
  foreign = "Videos"

Custom Struct Tag Case

Sometimes you might want to customize the case style for different purpose, for example, use camel case for json format and use snake case for yaml, You may create a section named [struct-tag-cases] to define these custom case for each different format:

[struct-tag-cases]
toml = "snake"
yaml = "camel"
json = "camel"
boil = "alias"

By default, the snake case will be used, so you can just setup only few formats:

[struct-tag-cases]
json = "camel"

Foreign Keys

You can add foreign keys not defined in the database to your models using the following configuration:

[foreign_keys.jet_pilots_fkey]
table = "jets"
column = "pilot_id"
foreign_table = "pilots"
foreign_column = "id"

[foreign_keys.pilot_language_pilots_fkey]
table = "pilot_languages"
column = "pilot_id"
foreign_table = "pilots"
foreign_column = "id"

[foreign_keys.pilot_language_languages_fkey]
table = "pilot_languages"
column = "language_id"
foreign_table = "languages"
foreign_column = "id"

Inflections

With inflections, you can control the rules sqlboiler uses to generates singular/plural variants. This is useful if a certain word or suffix is used multiple times and you do not want to create aliases for every instance.

[inflections.plural]
# Rules to convert a suffix to its plural form
ium = "ia"

[inflections.plural_exact]
# Rules to convert an exact word to its plural form
stadium = "stadia"

[inflections.singular]
# Rules to convert a suffix to its singular form
ia = "ium"

[inflections.singular_exact]
# Rules to convert an exact word to its singular form
stadia = "stadium"

[inflections.irregular]
# The singular -> plural mapping of an exact word that doen't follow conventional rules
radius = "radii"

Types

There exists the ability to override types that the driver has inferred. The way to accomplish this is through the config file.

[[types]]
  # The match is a drivers.Column struct, and matches on almost all fields.
  # Notable exception for the unique bool. Matches are done
  # with "logical and" meaning it must match all specified matchers.
  # Boolean values are only checked if all the string specifiers match first,
  # and they must always match.
  #
  # Not shown here: db_type is the database type and a very useful matcher
  # We can also whitelist tables for this replace by adding to the types.match:
  # tables = ['users', 'videos']
  #
  # Note there is precedence for types.match, more specific things should appear
  # further down in the config as once a matching rule is found it is executed
  # immediately.
  [types.match]
    type = "null.String"
    nullable = true

  # The replace is what we replace the strings with. You cannot modify any
  # boolean values in here. But we could change the Go type (the most useful thing)
  # or the DBType or FullDBType etc. if for some reason we needed to.
  [types.replace]
    type = "mynull.String"

  # These imports specified here overwrite the definition of the type's "based_on_type"
  # list. The type entry that is replaced is the replaced type's "type" field.
  # In the above example it would add an entry for mynull.String, if we did not
  # change the type in our replacement, it would overwrite the null.String entry.
  [types.imports]
    third_party = ['"github.com/me/mynull"']

Imports

Imports are overridable by the user. This can be used in conjunction with replacing the templates for extreme cases. Typically this should be avoided.

Note that specifying any section of the imports completely overwrites that section. It's also true that the driver can still specify imports and those will be merged in to what is provided here.

[imports.all]
  standard = ['"context"']
  third_party = ['"github.com/my/package"']

# Changes imports for the boil_queries file
[imports.singleton."boil_queries"]
  standard = ['"context"']
  third_party = ['"github.com/my/package"']

# Same syntax as all
[imports.test]

# Same syntax as singleton
[imports.test_singleton]

# Changes imports when a model contains null.Int32
[imports.based_on_type.string]
  standard = ['"context"']
  third_party = ['"github.com/my/package"']

When defining maps it's possible to use an alternative syntax since viper automatically lowercases all configuration keys (same as aliases).

[[imports.singleton]]
  name = "boil_queries"
  third_party = ['"github.com/my/package"']

[[imports.based_on_type]]
  name = "null.Int64"
  third_party = ['"github.com/my/int64"']

Templates

In advanced scenarios it may be desirable to generate additional files that are not go code. You can accomplish this by using the --templates flag to specify all the directories you wish to generate code for. With this flag you specify root directories, that is top-level container directories.

If root directories have a _test suffix in the name, this folder is considered a folder full of templates for testing only and will be omitted when --no-tests is specified and its templates will be generated into files with a _test suffix.

Each root directory is recursively walked. Each template found will be merged into table_name.ext where ext is defined by the shared extension of the templates. The directory structure is preserved with the exception of singletons.

For files that should not be generated for each model, you can use a singleton directory inside the directory where the singleton file should be generated. This will make sure that the file is only generated once.

Here's an example:

templates/
âââ 00_struct.go.tpl               # Merged into output_dir/table_name.go
âââ 00_struct.js.tpl               # Merged into output_dir/table_name.js
âââ singleton
â   âââ boil_queries.go.tpl        # Rendered as output_dir/boil_queries.go
âââ js
 Â   âââ jsmodel.js.tpl             # Merged into output_dir/js/table_name.js
 Â Â  âââ singleton
 Â Â      âââ jssingle.js.tpl        # Merged into output_dir/js/jssingle.js

The output files of which would be:

output_dir/
âââ boil_queries.go
âââ table_name.go
âââ table_name.js
âââ js
 Â Â  âââ table_name.js
 Â Â  âââ jssingle.js

Note: Because the --templates flag overrides the embedded templates of sqlboiler, if you still wish to generate the default templates it's recommended that you include the path to sqlboiler's templates as well.

templates = [
  "/path/to/sqlboiler/templates",
  "/path/to/sqlboiler/templates_test",
  "/path/to/your_project/more_templates"
]

Extending generated models

There will probably come a time when you want to extend the generated models with some kinds of helper functions. A general guideline is to put your extension functions into a separate package so that your functions aren't accidentally deleted when regenerating. Past that there are 3 main ways to extend the models, the first way is the most desirable:

Method 1: Simple Functions

// Package modext is for SQLBoiler helper methods
package modext

// UserFirstTimeSetup is an extension of the user model.
func UserFirstTimeSetup(ctx context.Context, db *sql.DB, u *models.User) error { ... }

Code organization is accomplished by using multiple files, and everything is passed as a parameter so these kinds of methods are very easy to test.

Calling code is also very straightforward:

user, err := Users().One(ctx, db)
// elided error check

err = modext.UserFirstTimeSetup(ctx, db, user)
// elided error check

Method 2: Empty struct methods

The above is the best way to code extensions for SQLBoiler, however there may be times when the number of methods grows too large and code completion is not as helpful anymore. In these cases you may consider structuring the code like this:

// Package modext is for SQLBoiler helper methods
package modext

type users struct {}

var Users = users{}

// FirstTimeSetup is an extension of the user model.
func (users) FirstTimeSetup(ctx context.Context, db *sql.DB, u *models.User) error { ... }

Calling code then looks a little bit different:

user, err := Users().One(ctx, db)
// elided error check

err = modext.Users.FirstTimeSetup(ctx, db, user)
// elided error check

This is almost identical to the method above, but gives slight amounts more organization at virtually no cost at runtime. It is however not as desirable as the first method since it does have some runtime cost and doesn't offer that much benefit over it.

Method 3: Embedding

This pattern is not for the faint of heart, what it provides in benefits it more than makes up for in downsides. It's possible to embed the SQLBoiler structs inside your own to enhance them. However it's subject to easy breakages and a dependency on these additional objects. It can also introduce inconsistencies as some objects may have no extended functionality and therefore have no reason to be embedded so you either have to have a struct for each generated struct even if it's empty, or have inconsistencies, some places where you use the enhanced model, and some where you do not.

user, err := Users().One(ctx, db)
// elided error check

enhUser := modext.User{user}
err = ehnUser.FirstTimeSetup(ctx, db)
// elided error check

I don't recommend this pattern, but included it so that people know it's an option and also know the problems with it.

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 to put foreign key constraints on your columns that reference other tables.
The compatibility tests require privileges to create a database for testing purposes, ensure the user supplied in your sqlboiler.toml 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().
Naming collisions, if the code fails to compile because there are naming collisions, look at the aliasing feature.
Race conditions in tests or when using global variable models and using relationship set helpers in multiple goroutines. Note that Set/Add/Remove relationship helpers modify their input parameters to maintain parity between the .R struct relationships and the database foreign keys but this can produce subtle race conditions. Test for this using the -race flag on the go tool.
A field not being inserted (usually a default true boolean), boil.Infer looks at the zero value of your Go type (it doesn't care what the default value in the database is) to determine if it should insert your field or not. In the case of a default true boolean value, when you want to set it to false; you set that in the struct but that's the zero value for the bool field in Go so sqlboiler assumes you do not want to insert that field and you want the default value from the database. Use a whitelist/greylist to add that field to the list of fields to insert.
decimal library showing errors like: pq: encode: unknown type types.NullDecimal is a result of a too-new and broken version of the github.com/ericlargergren/decimal package, use the following version in your go.mod: github.com/ericlagergren/decimal v0.0.0-20181231230500-73749d4874d5

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

Most examples in this section will be demonstrated using the following Postgres schema, structs and variables:

CREATE TABLE pilots (
  id integer NOT NULL,
  name text NOT NULL
);

ALTER TABLE pilots ADD CONSTRAINT pilot_pkey PRIMARY KEY (id);

CREATE TABLE jets (
  id integer NOT NULL,
  pilot_id integer NOT NULL,
  age integer NOT NULL,
  name text NOT NULL,
  color text NOT NULL
);

ALTER TABLE jets ADD CONSTRAINT jet_pkey PRIMARY KEY (id);
ALTER TABLE jets ADD CONSTRAINT jet_pilots_fkey FOREIGN KEY (pilot_id) REFERENCES pilots(id);

CREATE TABLE languages (
  id integer NOT NULL,
  language text NOT NULL
);

ALTER TABLE languages ADD CONSTRAINT language_pkey PRIMARY KEY (id);

-- Join table
CREATE TABLE pilot_languages (
  pilot_id integer NOT NULL,
  language_id integer NOT NULL
);

-- Composite primary key
ALTER TABLE pilot_languages ADD CONSTRAINT pilot_language_pkey PRIMARY KEY (pilot_id, language_id);
ALTER TABLE pilot_languages ADD CONSTRAINT pilot_language_pilots_fkey FOREIGN KEY (pilot_id) REFERENCES pilots(id);
ALTER TABLE pilot_languages ADD CONSTRAINT pilot_language_languages_fkey FOREIGN KEY (language_id) REFERENCES languages(id);

The generated model structs for this schema look like the following. Note that we've included the relationship structs as well so you can see how it all pieces together:

type Pilot struct {
  ID   int    `boil:"id" json:"id" toml:"id" yaml:"id"`
  Name string `boil:"name" json:"name" toml:"name" yaml:"name"`

  R *pilotR `boil:"-" json:"-" toml:"-" yaml:"-"`
  L pilotR  `boil:"-" json:"-" toml:"-" yaml:"-"`
}

type pilotR struct {
  Languages LanguageSlice
  Jets      JetSlice
}

type Jet struct {
  ID      int    `boil:"id" json:"id" toml:"id" yaml:"id"`
  PilotID int    `boil:"pilot_id" json:"pilot_id" toml:"pilot_id" yaml:"pilot_id"`
  Age     int    `boil:"age" json:"age" toml:"age" yaml:"age"`
  Name    string `boil:"name" json:"name" toml:"name" yaml:"name"`
  Color   string `boil:"color" json:"color" toml:"color" yaml:"color"`

  R *jetR `boil:"-" json:"-" toml:"-" yaml:"-"`
  L jetR  `boil:"-" json:"-" toml:"-" yaml:"-"`
}

type jetR struct {
  Pilot *Pilot
}

type Language struct {
  ID       int    `boil:"id" json:"id" toml:"id" yaml:"id"`
  Language string `boil:"language" json:"language" toml:"language" yaml:"language"`

  R *languageR `boil:"-" json:"-" toml:"-" yaml:"-"`
  L languageR  `boil:"-" json:"-" toml:"-" yaml:"-"`
}

type languageR struct {
  Pilots PilotSlice
}

// Open handle to database like normal
db, err := sql.Open("postgres", "dbname=fun user=abc")
if err != nil {
  return err
}

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()

Customizing the timestamp columns

Set the auto-columns map in your configuration file

[auto-columns]
    created = "createdAt"
    updated = "updatedAt"

Skipping Automatic Timestamps

If for a given query you do not want timestamp columns to be re-computed prior to an insert or update then you can use boil.SkipTimestamps on the context you pass in to the query to prevent them from being updated.

Keep in mind this has no effect on whether or not the column is included in the insert/update, it simply stops them from being set to time.Now() in the struct before being sent to the database (if they were going to be sent).

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: queries.Raw(), 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().

Automatic DeletedAt (Soft Delete)

Soft deletes are a way of deleting records in a database for the average query without actually removing the data. This type of thing is important in certain scenarios where data retention is important. It is typically done by adding a deleted bool or a deleted_at timestamp to each table in the database that can be soft deleted and subsequent queries on that table should always make sure that deleted != true or deleted_at is null to prevent showing "deleted" data.

SQLBoiler uses the deleted_at variant to provide this functionality. If your table has a nullable timestamp field named deleted_at it will be a candidate for soft-deletion.

NOTE: As of writing soft-delete is opt-in via --add-soft-deletes and is liable to change in future versions.

NOTE: There is a query mod to bypass soft delete for a specific query by using qm.WithDeleted, note that there is no way to do this for Exists/Find helpers yet.

NOTE: The Delete helpers will not set updated_at currently. The current philosophy is that deleting the object is simply metadata and since it returns in no queries (other than raw ones) the updated_at will no longer be relevant. This could change in future versions if people disagree with this but it is the current behavior.

Query Building

We generate "Starter" methods for you. These methods are named as the plural versions of your model, for example: models.Jets(). Starter methods are used to build queries using our Query Mod System. They take a slice of Query Mods as parameters, and end with a call to a Finisher method.

Here are a few examples:

// SELECT COUNT(*) FROM pilots;
count, err := models.Pilots().Count(ctx, db)

// SELECT * FROM "pilots" LIMIT 5;
pilots, err := models.Pilots(qm.Limit(5)).All(ctx, db)

// DELETE FROM "pilots" WHERE "id"=$1;
err := models.Pilots(qm.Where("id=?", 1)).DeleteAll(ctx, db)
// type safe version of above
err := models.Pilots(models.PilotWhere.ID.EQ(1)).DeleteAll(ctx, db)

In the event that you would like to build a query and specify the table yourself, you can do so using models.NewQuery():

// Select all rows from the pilots table by using the From query mod.
err := models.NewQuery(db, qm.From("pilots")).All(ctx, db)

As you can see, Query Mods allow you to modify your queries, and Finishers allow you to execute the final action.

We also generate query building helper methods for your relationships as well. Take a look at our Relationships Query Building section for some additional query building information.

Query Mod System

The query mod system allows you to modify queries created with Starter methods when performing query building. See examples below.

NOTE: SQLBoiler generates type-safe identifiers based on your database tables, columns and relationships. Using these is a bit more verbose, but is especially safe since when the names change in the database the generated code will be different causing compilation failures instead of runtime errors. It is highly recommended you use these instead of regular strings. See Constants for more details.

NOTE: You will notice that there is printf used below mixed with SQL statements. This is normally NOT OK if the user is able to supply any of the sql string, but here we always use a ? placeholder and pass arguments so that the only thing that's being printf'd are constants which makes it safe, but be careful!

// Dot import so we can access query mods directly instead of prefixing with "qm."
import . "github.com/volatiletech/sqlboiler/v4/queries/qm"

// Use a raw query against a generated struct (Pilot in this example)
// If this query mod exists in your call, it will override the others.
// "?" placeholders are not supported here, use "$1, $2" etc.
SQL("select * from pilots where id=$1", 10)
models.Pilots(SQL("select * from pilots where id=$1", 10)).All()

Select("id", "name") // Select specific columns.
Select(models.PilotColumns.ID, models.PilotColumns.Name)
From("pilots as p") // Specify the FROM table manually, can be useful for doing complex queries.
From(models.TableNames.Pilots + " as p")

// WHERE clause building
Where("name=?", "John")
models.PilotWhere.Name.EQ("John")
And("age=?", 24)
// No equivalent type safe query yet
Or("height=?", 183)
// No equivalent type safe query yet

Where("(name=? and age=?) or (age=?)", "John", 5, 6)
// Expr allows manual grouping of statements
Where(
  Expr(
    models.PilotWhere.Name.EQ("John"),
    Or2(models.PilotWhere.Age.EQ(5)),
  ),
  Or2(models.PilotAge),
)

// WHERE IN clause building
WhereIn("(name, age) in ?", "John", 24, "Tim", 33) // Generates: WHERE ("name","age") IN (($1,$2),($3,$4))
WhereIn(fmt.Sprintf("(%s, %s) in ?", models.PilotColumns.Name, models.PilotColumns.Age), "John", 24, "Tim", 33)
AndIn("weight in ?", 84)
AndIn(models.PilotColumns.Weight + " in ?", 84)
OrIn("height in ?", 183, 177, 204)
OrIn(models.PilotColumns.Height + " in ?", 183, 177, 204)

InnerJoin("pilots p on jets.pilot_id=?", 10)
InnerJoin(models.TableNames.Pilots + " p on " + models.TableNames.Jets + "." + models.JetColumns.PilotID + "=?", 10)

GroupBy("name")
GroupBy("name like ? DESC, name", "John")
GroupBy(models.PilotColumns.Name)
OrderBy("age, height")
OrderBy(models.PilotColumns.Age, models.PilotColumns.Height)

Having("count(jets) > 2")
Having(fmt.Sprintf("count(%s) > 2", models.TableNames.Jets)

Limit(15)
Offset(5)

// Explicit locking
For("update nowait")

// Common Table Expressions
With("cte_0 AS (SELECT * FROM table_0 WHERE thing=$1 AND stuff=$2)")

// Eager Loading -- Load takes the relationship name, ie the struct field name of the
// Relationship struct field you want to load. Optionally also takes query mods to filter on that query.
Load("Languages", Where(...)) // If it's a ToOne relationship it's in singular form, ToMany is plural.
Load(models.PilotRels.Languages, Where(...))

Note: We don't force you to break queries apart like this if you don't want to, the following is also valid and supported by query mods that take a clause:

Where("(name=? OR age=?) AND height=?", "John", 24, 183)

Function Variations

Functions can have variations generated for them by using the flags --add-global-variants and --add-panic-variants. Once you've used these flags or set the appropriate values in your configuration file extra method overloads will be generated. We've used the Delete method to demonstrate:

// Set the global db handle for G method variants.
boil.SetDB(db)

pilot, _ := models.FindPilot(ctx, db, 1)

err := pilot.Delete(ctx, db) // Regular variant, takes a db handle (boil.Executor interface).
pilot.DeleteP(ctx, db)       // Panic variant, takes a db handle and panics on error.
err := pilot.DeleteG(ctx)    // Global variant, uses the globally set db handle (boil.SetDB()).
pilot.DeleteGP(ctx)          // Global&Panic variant, combines the global db handle and panic on error.

db.Begin()                   // Normal sql package way of creating a transaction
boil.BeginTx(ctx, nil)       // Uses the global database handle set by boil.SetDB() (doesn't require flag)

Note that it's slightly different for query building.

Finishers

Here are a list of all of the finishers that can be used in combination with Query Building.

Finishers all have P (panic) method variations. To specify your db handle use the G or regular variation of the Starter method.

// These are called like the following:
models.Pilots().All(ctx, db)

One() // Retrieve one row as object (same as LIMIT(1))
All() // Retrieve all rows as objects (same as SELECT * FROM)
Count() // Number of rows (same as COUNT(*))
UpdateAll(models.M{"name": "John", "age": 23}) // Update all rows matching the built query.
DeleteAll() // Delete all rows matching the built query.
Exists() // Returns a bool indicating whether the row(s) for the built query exists.
Bind(&myObj) // Bind the results of a query to your own struct object.
Exec() // Execute an SQL query that does not require any rows returned.
QueryRow() // Execute an SQL query expected to return only a single row.
Query() // Execute an SQL query expected to return multiple rows.

Raw Query

We provide queries.Raw() for executing raw queries. Generally you will want to use Bind() with this, like the following:

err := queries.Raw("select * from pilots where id=$1", 5).Bind(ctx, db, &obj)

You can use your own structs or a generated struct as a parameter to Bind. Bind supports both a single object for single row queries and a slice of objects for multiple row queries.

queries.Raw() also has a method that can execute a query without binding to an object, if required.

You also have models.NewQuery() at your disposal if you would still like to use Query Building in combination with your own custom, non-generated model.

Binding

For a comprehensive ruleset for Bind() you can refer to our pkg.go.dev.

The Bind() Finisher allows the results of a query built with the Raw SQL method or the Query Builder methods to be bound to your generated struct objects, or your own custom struct objects.

This can be useful for complex queries, queries that only require a small subset of data and have no need for the rest of the object variables, or custom join struct objects like the following:

// Custom struct using two generated structs
type PilotAndJet struct {
  models.Pilot `boil:",bind"`
  models.Jet   `boil:",bind"`
}

var paj PilotAndJet
// Use a raw query
err := queries.Raw(`
  select pilots.id as "pilots.id", pilots.name as "pilots.name",
  jets.id as "jets.id", jets.pilot_id as "jets.pilot_id",
  jets.age as "jets.age", jets.name as "jets.name", jets.color as "jets.color"
  from pilots inner join jets on jets.pilot_id=?`, 23,
).Bind(ctx, db, &paj)

// Use query building
err := models.NewQuery(
  Select("pilots.id", "pilots.name", "jets.id", "jets.pilot_id", "jets.age", "jets.name", "jets.color"),
  From("pilots"),
  InnerJoin("jets on jets.pilot_id = pilots.id"),
).Bind(ctx, db, &paj)

// Custom struct for selecting a subset of data
type JetInfo struct {
  AgeSum int `boil:"age_sum"`
  Count int `boil:"juicy_count"`
}

var info JetInfo

// Use query building
err := models.NewQuery(Select("sum(age) as age_sum", "count(*) as juicy_count", From("jets"))).Bind(ctx, db, &info)

// Use a raw query
err := queries.Raw(`select sum(age) as "age_sum", count(*) as "juicy_count" from jets`).Bind(ctx, db, &info)

We support the following struct tag modes for Bind() control:

type CoolObject struct {
  // Don't specify a name, Bind will TitleCase the column
  // name, and try to match against this.
  Frog int

  // Specify an alternative name for the column, it will
  // be titlecased for matching, can be whatever you like.
  Cat int  `boil:"kitten"`

  // Ignore this struct field, do not attempt to bind it.
  Pig int  `boil:"-"`

  // Instead of binding to this as a regular struct field
  // (like other sql-able structs eg. time.Time)
  // Recursively search inside the Dog struct for field names from the query.
  Dog      `boil:",bind"`

  // Same as the above, except specify a different table name
  Mouse    `boil:"rodent,bind"`

  // Ignore this struct field, do not attempt to bind it.
  Bird     `boil:"-"`
}

Relationships

Helper methods will be generated for every to one and to many relationship structure you have defined in your database by using foreign keys.

We attach these helpers directly to your model struct, for example:

jet, _ := models.FindJet(ctx, db, 1)

// "to one" relationship helper method.
// This will retrieve the pilot for the jet.
pilot, err := jet.Pilot().One(ctx, db)

// "to many" relationship helper method.
// This will retrieve all languages for the pilot.
languages, err := pilot.Languages().All(ctx, db)

If your relationship involves a join table SQLBoiler will figure it out for you transparently.

It is important to note that you should use Eager Loading if you plan on loading large collections of rows, to avoid N+1 performance problems.

For example, take the following:

// Avoid this loop query pattern, it is slow.
jets, _ := models.Jets().All(ctx, db)
pilots := make([]models.Pilot, len(jets))
for i := 0; i < len(jets); i++ {
  pilots[i] = jets[i].Pilot().OneP(ctx, db)
}

// Instead, use Eager Loading!
jets, _ := models.Jets(Load("Pilot")).All(ctx, db)
// Type safe relationship names exist too:
jets, _ := models.Jets(Load(models.JetRels.Pilot)).All(ctx, db)

// Then access the loaded structs using the special Relation field
for _, j := range jets {
  _ = j.R.Pilot
}

Eager loading can be combined with other query mods, and it can also eager load recursively.

// Example of a nested load.
// Each jet will have its pilot loaded, and each pilot will have its languages loaded.
jets, _ := models.Jets(Load("Pilot.Languages")).All(ctx, db)
// Note that each level of a nested Load call will be loaded. No need to call Load() multiple times.

// Type safe queries exist for this too!
jets, _ := models.Jets(Load(Rels(models.JetRels.Pilot, models.PilotRels.Languages))).All(ctx, db)

// A larger example. In the below scenario, Pets will only be queried one time, despite
// showing up twice because they're the same query (the user's pets)
users, _ := models.Users(
  Load("Pets.Vets"),
  // the query mods passed in below only affect the query for Toys
  // to use query mods against Pets itself, you must declare it separately
  Load("Pets.Toys", Where("toys.deleted = ?", isDeleted)),
  Load("Property"),
  Where("age > ?", 23),
).All(ctx, db)

We provide the following methods for managing relationships on objects:

To One

SetX(): Set the foreign key to point to something else: jet.SetPilot(...)
RemoveX(): Null out the foreign key, effectively removing the relationship between these two objects: jet.RemovePilot(...)

To Many

AddX(): Add more relationships to the existing set of related Xs: pilot.AddLanguages(...)
SetX(): Remove all existing relationships, and replace them with the provided set: pilot.SetLanguages(...)
RemoveX(): Remove all provided relationships: pilot.RemoveLanguages(...)

Important: Remember to use transactions around these set helpers for performance and data integrity. SQLBoiler does not do this automatically due to it's transparent API which allows you to batch any number of calls in a transaction without spawning subtransactions you don't know about or are not supported by your database.

To One code examples:

  jet, _ := models.FindJet(ctx, db, 1)
  pilot, _ := models.FindPilot(ctx, db, 1)

  // Set the pilot to an existing jet
  err := jet.SetPilot(ctx, db, false, &pilot)

  pilot = models.Pilot{
    Name: "Erlich",
  }

  // Insert the pilot into the database and assign it to a jet
  err := jet.SetPilot(ctx, db, true, &pilot)

  // Remove a relationship. This method only exists for foreign keys that can be NULL.
  err := jet.RemovePilot(ctx, db, &pilot)

To Many code examples:

  pilots, _ := models.Pilots().All(ctx, db)
  languages, _ := models.Languages().All(ctx, db)

  // Set a group of language relationships
  err := pilots.SetLanguages(db, false, &languages)

  languages := []*models.Language{
    {Language: "Strayan"},
    {Language: "Yupik"},
    {Language: "Pawnee"},
  }

  // Insert new a group of languages and assign them to a pilot
  err := pilots.SetLanguages(ctx, db, true, languages...)

  // Add another language relationship to the existing set of relationships
  err := pilots.AddLanguages(ctx, db, false, &someOtherLanguage)

  anotherLanguage := models.Language{Language: "Archi"}

  // Insert and then add another language relationship
  err := pilots.AddLanguages(ctx, db, true, &anotherLanguage)

  // Remove a group of relationships
  err := pilots.RemoveLanguages(ctx, db, languages...)

Hooks

Before and After hooks are available for most operations. If you don't need them you can shrink the size of the generated code by disabling them with the --no-hooks flag.

Every generated package that includes hooks has the following HookPoints defined:

const (
  BeforeInsertHook HookPoint = iota + 1
  BeforeUpdateHook
  BeforeDeleteHook
  BeforeUpsertHook
  AfterInsertHook
  AfterSelectHook
  AfterUpdateHook
  AfterDeleteHook
  AfterUpsertHook
)

To register a hook for your model you will need to create the hook function, and attach it with the AddModelHook method. Here is an example of a before insert hook:

// Define my hook function
func myHook(ctx context.Context, exec boil.ContextExecutor, p *Pilot) error {
  // Do stuff
  return nil
}

// Register my before insert hook for pilots
models.AddPilotHook(boil.BeforeInsertHook, myHook)

Your ModelHook will always be defined as func(context.Context, boil.ContextExecutor, *Model) error if context is not turned off.

Skipping Hooks

You can skip hooks by using the boil.SkipHooks on the context you pass in to a given query.

Transactions

The boil.Executor and boil.ContextExecutor interface powers all of SQLBoiler. This means anything that conforms to the three Exec/Query/QueryRow methods (and their context-aware variants) can be used to execute queries. sql.DB, sql.Tx as well as other libraries (sqlx) conform to this interface, and therefore any of these things may be used as an executor for any query in the system. This makes using transactions very simple:

tx, err := db.BeginTx(ctx, nil)
if err != nil {
  return err
}

users, _ := models.Pilots().All(ctx, tx)
users.DeleteAll(ctx, tx)

// Rollback or commit
tx.Commit()
tx.Rollback()

It's also worth noting that there's a way to take advantage of boil.SetDB() by using the boil.BeginTx() function. This opens a transaction using the globally stored database.

Debug Logging

Debug logging will print your generated SQL statement and the arguments it is using. Debug logging can be toggled on globally by setting the following global variable to true:

boil.DebugMode = true

// Optionally set the writer as well. Defaults to os.Stdout
fh, _ := os.Open("debug.txt")
boil.DebugWriter = fh

Note: Debug output is messy at the moment. This is something we would like addressed.

Select

Select is done through Query Building and Find. Here's a short example:

// Select one pilot
pilot, err := models.Pilots(qm.Where("name=?", "Tim")).One(ctx, db)
// Type safe variant
pilot, err := models.Pilots(models.PilotWhere.Name.EQ("Tim")).One(ctx, db)

// Select specific columns of many jets
jets, err := models.Jets(qm.Select("age", "name")).All(ctx, db)
// Type safe variant
jets, err := models.Jets(qm.Select(models.JetColumns.Age, models.JetColumns.Name)).All(ctx, db)

Find

Find is used to find a single row by primary key:

// Retrieve pilot with all columns filled
pilot, err := models.FindPilot(ctx, db, 1)

// Retrieve a subset of column values
jet, err := models.FindJet(ctx, db, 1, "name", "color")

Insert

The main thing to be aware of with Insert is how the columns argument operates. You can supply one of the following column lists: boil.Infer, boil.Whitelist, boil.Blacklist, or boil.Greylist.

These lists control what fields are inserted into the database, and what values are returned to your struct from the database (default, auto incrementing, trigger-based columns are candidates for this). Your struct will have those values after the insert is complete.

When you use inference sqlboiler looks at your Go struct field values and if the field value is the Go zero value and that field has a default value in the database it will not insert that field, instead it will get the value from the database. Keep in mind sqlboiler cannot read or understand your default values set in the database, so the Go zero value is what's important here (this can be especially troubling for default true bool fields). Use a whitelist or greylist in cases where you want to insert a Go zero value.

Column List	Behavior
Infer	Infer the column list using "smart" rules
Whitelist	Insert only the columns specified in this list
Blacklist	Infer the column list, but ensure these columns are not inserted
Greylist	Infer the column list, but ensure these columns are inserted

NOTE: CreatedAt/UpdatedAt are not included in Whitelist automatically.

See the documentation for boil.Columns.InsertColumnSet for more details.

var p1 models.Pilot
p1.Name = "Larry"
err := p1.Insert(ctx, db, boil.Infer()) // Insert the first pilot with name "Larry"
// p1 now has an ID field set to 1

var p2 models.Pilot
p2.Name = "Boris"
err := p2.Insert(ctx, db, boil.Infer()) // Insert the second pilot with name "Boris"
// p2 now has an ID field set to 2

var p3 models.Pilot
p3.ID = 25
p3.Name = "Rupert"
err := p3.Insert(ctx, db, boil.Infer()) // Insert the third pilot with a specific ID
// The id for this row was inserted as 25 in the database.

var p4 models.Pilot
p4.ID = 0
p4.Name = "Nigel"
err := p4.Insert(ctx, db, boil.Whitelist("id", "name")) // Insert the fourth pilot with a zero value ID
// The id for this row was inserted as 0 in the database.
// Note: We had to use the whitelist for this, otherwise
// SQLBoiler would presume you wanted to auto-increment

Update

Update can be performed on a single object, a slice of objects or as a Finisher for a collection of rows.

Update on a single object optionally takes a whitelist. The purpose of the whitelist is to specify which columns in your object should be updated in the database.

Like Insert, this method also takes a Columns type, but the behavior is slightly different. Although the descriptions below look similar the full documentation reveals the differences. Note that all inference is based on the Go types zero value and not the database default value, read the Insert documentation above for more details.

Column List	Behavior
Infer	Infer the column list using "smart" rules
Whitelist	Update only the columns specified in this list
Blacklist	Infer the column list for updating, but ensure these columns are not updated
Greylist	Infer the column list, but ensure these columns are updated

NOTE: CreatedAt/UpdatedAt are not included in Whitelist automatically.

See the documentation for boil.Columns.UpdateColumnSet for more details.

// Find a pilot and update his name
pilot, _ := models.FindPilot(ctx, db, 1)
pilot.Name = "Neo"
rowsAff, err := pilot.Update(ctx, db, boil.Infer())

// Update a slice of pilots to have the name "Smith"
pilots, _ := models.Pilots().All(ctx, db)
rowsAff, err := pilots.UpdateAll(ctx, db, models.M{"name": "Smith"})

// Update all pilots in the database to to have the name "Smith"
rowsAff, err := models.Pilots().UpdateAll(ctx, db, models.M{"name": "Smith"})

Delete

Delete a single object, a slice of objects or specific objects through Query Building.

pilot, _ := models.FindPilot(db, 1)
// Delete the pilot from the database
rowsAff, err := pilot.Delete(ctx, db)

// Delete all pilots from the database
rowsAff, err := models.Pilots().DeleteAll(ctx, db)

// Delete a slice of pilots from the database
pilots, _ := models.Pilots().All(ctx, db)
rowsAff, err := pilots.DeleteAll(ctx, db)

Upsert

Upsert allows you to perform an insert that optionally performs an update when a conflict is found against existing row values.

The updateColumns and insertColumns operates in the same fashion that it does for Update and Insert.

If an insert is performed, your object will be updated with any missing default values from the database, such as auto-incrementing column values.

var p1 models.Pilot
p1.ID = 5
p1.Name = "Gaben"

// INSERT INTO pilots ("id", "name") VALUES($1, $2)
// ON CONFLICT DO NOTHING
err := p1.Upsert(ctx, db, false, nil, boil.Infer())

// INSERT INTO pilots ("id", "name") VALUES ($1, $2)
// ON CONFLICT ("id") DO UPDATE SET "name" = EXCLUDED."name"
err := p1.Upsert(ctx, db, true, []string{"id"}, boil.Whitelist("name"), boil.Infer())

// Set p1.ID to a zero value. We will have to use the whitelist now.
p1.ID = 0
p1.Name = "Hogan"

// INSERT INTO pilots ("id", "name") VALUES ($1, $2)
// ON CONFLICT ("id") DO UPDATE SET "name" = EXCLUDED."name"
err := p1.Upsert(ctx, db, true, []string{"id"}, boil.Whitelist("name"), boil.Whitelist("id", "name"))

// Custom conflict_target expression:
// INSERT INTO pilots ("id", "name") VALUES (9, 'Antwerp Design')
// ON CONFLICT ON CONSTRAINT pilots_pkey DO NOTHING;
conflictTarget := models.UpsertConflictTarget
err := p1.Upsert(ctx, db, false, nil, boil.Whitelist("id", "name"), boil.None(), conflictTarget("ON CONSTRAINT pilots_pkey"))

// Custom UPDATE SET expression:
// INSERT INTO pilots ("id", "name") VALUES (9, 'Antwerp Design')
// ON CONFLICT ("id") DO UPDATE SET (id, name) = (sub-SELECT)
updateSet := models.UpsertUpdateSet
err := p1.Upsert(ctx, db, true, []string{"id"}, boil.Whitelist("id", "name"), boil.None(), updateSet("(id, name) = (sub-SELECT)"))

Postgres
- The updateOnConflict argument allows you to specify whether you would like Postgres to perform a DO NOTHING on conflict, opposed to a DO UPDATE. For MySQL and MSSQL, this param will not be generated.
- The conflictColumns argument allows you to specify the ON CONFLICT columns for Postgres. For MySQL and MSSQL, this param will not be generated.
MySQL and MSSQL
- Passing boil.None() for updateColumns allows to perform a DO NOTHING on conflict similar to Postgres.

Note: Passing a different set of column values to the update component is not currently supported.

Note: Upsert is now not guaranteed to be provided by SQLBoiler and it's now up to each driver individually to support it since it's a bit outside of the reach of the sql standard.

Reload

In the event that your objects get out of sync with the database for whatever reason, you can use Reload and ReloadAll to reload the objects using the primary key values attached to the objects.

pilot, _ := models.FindPilot(ctx, db, 1)

// > Object becomes out of sync for some reason, perhaps async processing

// Refresh the object with the latest data from the db
err := pilot.Reload(ctx, db)

// Reload all objects in a slice
pilots, _ := models.Pilots().All(ctx, db)
err := pilots.ReloadAll(ctx, db)

Note: Reload and ReloadAll are not recursive, if you need your relationships reloaded you will need to call the Reload methods on those yourself.

Exists

jet, err := models.FindJet(ctx, db, 1)

// Check if the pilot assigned to this jet exists.
exists, err := jet.Pilot().Exists(ctx, db)

// Check if the pilot with ID 5 exists
exists, err := models.Pilots(Where("id=?", 5)).Exists(ctx, db)

Enums

If your MySQL or Postgres tables use enums we will generate constants that hold their values that you can use in your queries. For example:

CREATE TYPE workday AS ENUM('monday', 'tuesday', 'wednesday', 'thursday', 'friday');

CREATE TABLE event_one (
  id     serial PRIMARY KEY NOT NULL,
  name   VARCHAR(255),
  day    workday NOT NULL
);

An enum type defined like the above, being used by a table, will generate the following enums:

const (
  WorkdayMonday    = "monday"
  WorkdayTuesday   = "tuesday"
  WorkdayWednesday = "wednesday"
  WorkdayThursday  = "thursday"
  WorkdayFriday    = "friday"
)

For Postgres we use enum type name + title cased value to generate the const variable name. For MySQL we use table name + column name + title cased value to generate the const variable name.

Note: If your enum holds a value we cannot parse correctly due, to non-alphabet characters for example, it may not be generated. In this event, you will receive errors in your generated tests because the value randomizer in the test suite does not know how to generate valid enum values. You will still be able to use your generated library, and it will still work as expected, but the only way to get the tests to pass in this event is to either use a parsable enum value or use a regular column instead of an enum.

Constants

The models package will also contain some structs that contain all table, column, relationship names harvested from the database at generation time. Type safe where query mods are also generated.

There are type safe identifiers at:

models.TableNames.TableName
models.ModelColumns.ColumnName
models.ModelWhere.ColumnName.Operator
models.ModelRels.ForeignTableName

For table names they're generated under models.TableNames:

// Generated code from models package
var TableNames = struct {
  Messages  string
  Purchases string
}{
  Messages:  "messages",
  Purchases: "purchases",
}

// Usage example:
fmt.Println(models.TableNames.Messages)

For column names they're generated under models.{Model}Columns:

// Generated code from models package
var MessageColumns = struct {
  ID         string
  PurchaseID string
}{
  ID:         "id",
  PurchaseID: "purchase_id",
}

// Usage example:
fmt.Println(models.MessageColumns.ID)

For where clauses they're generated under models.{Model}Where.{Column}.{Operator}:

var MessageWhere = struct {
  ID       whereHelperint
  Text     whereHelperstring
}{
  ID:         whereHelperint{field: `id`},
  PurchaseID: whereHelperstring{field: `purchase_id`},
}

// Usage example:
models.Messages(models.MessageWhere.PurchaseID.EQ("hello"))

For eager loading relationships ther're generated under models.{Model}Rels:

// Generated code from models package
var MessageRels = struct {
  Purchase string
}{
  Purchase: "Purchase",
}

// Usage example:
fmt.Println(models.MessageRels.Purchase)

NOTE: You can also assign the ModelWhere or ColumnNames to a variable and although you probably pay some performance penalty with it sometimes the readability increase is worth it:

cols := &models.UserColumns
where := &models.UserWhere

u, err := models.Users(where.Name.EQ("hello"), qm.Or(cols.Age + "=?", 5))

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.

Missing imports for generated package

The generated models might import a couple of packages that are not on your system already, so cd into your generated models directory and type go get -u -t to fetch them. You will only need to run this command once, not per generation.

How should I handle multiple schemas?

If your database uses multiple schemas you should generate a new package for each of your schemas. Note that this only applies to databases that use real, SQL standard schemas (like PostgreSQL), not fake schemas (like MySQL).

How do I use types.BytesArray for Postgres bytea arrays?

Only "escaped format" is supported for types.BytesArray. This means that your byte slice needs to have a format of "\x00" (4 bytes per byte) opposed to "\x00" (1 byte per byte). This is to maintain compatibility with all Postgres drivers. Example:

x := types.BytesArray{0: []byte("\\x68\\x69")}

Please note that multi-dimensional Postgres ARRAY types are not supported at this time.

Why aren't my time.Time or null.Time fields working in MySQL?

You must use a DSN flag in MySQL connections, see: Requirements

Where is the homepage?

The homepage for the SQLBoiler Golang ORM generator is located at: https://github.com/volatiletech/sqlboiler

Why are the auto-generated tests failing?

The tests generated for your models package with sqlboiler are fairly error-prone. They are usually broken by constraints in the database that sqlboiler can't hope to understand.

During regular run-time this isn't an issue because your code will throw errors and you will fix it however the auto-generated tests can only report those errors and it seems like something is wrong when in reality the only issue is that the auto generated tests can't understand that your text column is validated by a regex that says it must be composed solely of the 'b' character repeated 342 times.

These tests are broken especially by foreign key constraints because of the parallelism we use. There's also no understanding in the tests of dependencies based on these foreign keys. As such there is a process that removes the foreign keys from your schema when they are run, if this process messes up you will get errors relating to foreign key constraints.

Benchmarks

If you'd like to run the benchmarks yourself check out our boilbench repo.

go test -bench . -benchmem

Results (lower is better)

Test machine:

OS:  Ubuntu 16.04
CPU: Intel(R) Core(TM) i7-4771 CPU @ 3.50GHz
Mem: 16GB
Go:  go version go1.8.1 linux/amd64

The graphs below have many runs like this as input to calculate errors. Here is a sample run:

BenchmarkGORMSelectAll/gorm-8         20000   66500 ns/op   28998 B/op    455 allocs/op
BenchmarkGORPSelectAll/gorp-8         50000   31305 ns/op    9141 B/op    318 allocs/op
BenchmarkXORMSelectAll/xorm-8         20000   66074 ns/op   16317 B/op    417 allocs/op
BenchmarkKallaxSelectAll/kallax-8    100000   18278 ns/op    7428 B/op    145 allocs/op
BenchmarkBoilSelectAll/boil-8        100000   12759 ns/op    3145 B/op     67 allocs/op

BenchmarkGORMSelectSubset/gorm-8      20000    69469 ns/op   30008 B/op   462 allocs/op
BenchmarkGORPSelectSubset/gorp-8      50000    31102 ns/op    9141 B/op   318 allocs/op
BenchmarkXORMSelectSubset/xorm-8      20000    64151 ns/op   15933 B/op   414 allocs/op
BenchmarkKallaxSelectSubset/kallax-8 100000    16996 ns/op    6499 B/op   132 allocs/op
BenchmarkBoilSelectSubset/boil-8     100000    13579 ns/op    3281 B/op    71 allocs/op

BenchmarkGORMSelectComplex/gorm-8     20000    76284 ns/op   34566 B/op   521 allocs/op
BenchmarkGORPSelectComplex/gorp-8     50000    31886 ns/op    9501 B/op   328 allocs/op
BenchmarkXORMSelectComplex/xorm-8     20000    68430 ns/op   17694 B/op   464 allocs/op
BenchmarkKallaxSelectComplex/kallax-8 50000    26095 ns/op   10293 B/op   212 allocs/op
BenchmarkBoilSelectComplex/boil-8    100000    16403 ns/op    4205 B/op   102 allocs/op

BenchmarkGORMDelete/gorm-8           200000    10356 ns/op    5059 B/op    98 allocs/op
BenchmarkGORPDelete/gorp-8          1000000     1335 ns/op     352 B/op    13 allocs/op
BenchmarkXORMDelete/xorm-8           200000    10796 ns/op    4146 B/op   122 allocs/op
BenchmarkKallaxDelete/kallax-8       300000     5141 ns/op    2241 B/op    48 allocs/op
BenchmarkBoilDelete/boil-8          2000000      796 ns/op     168 B/op     8 allocs/op

BenchmarkGORMInsert/gorm-8           100000    15238 ns/op    8278 B/op   150 allocs/op
BenchmarkGORPInsert/gorp-8           300000     4648 ns/op    1616 B/op    38 allocs/op
BenchmarkXORMInsert/xorm-8           100000    12600 ns/op    6092 B/op   138 allocs/op
BenchmarkKallaxInsert/kallax-8       100000    15115 ns/op    6003 B/op   126 allocs/op
BenchmarkBoilInsert/boil-8          1000000     2249 ns/op     984 B/op    23 allocs/op

BenchmarkGORMUpdate/gorm-8           100000    18609 ns/op    9389 B/op   174 allocs/op
BenchmarkGORPUpdate/gorp-8           500000     3180 ns/op    1536 B/op    35 allocs/op
BenchmarkXORMUpdate/xorm-8           100000    13149 ns/op    5098 B/op   149 allocs/op
BenchmarkKallaxUpdate/kallax-8       100000    22880 ns/op   11366 B/op   219 allocs/op
BenchmarkBoilUpdate/boil-8          1000000     1810 ns/op     936 B/op    18 allocs/op

BenchmarkGORMRawBind/gorm-8           20000    65821 ns/op   30502 B/op   444 allocs/op
BenchmarkGORPRawBind/gorp-8           50000    31300 ns/op    9141 B/op   318 allocs/op
BenchmarkXORMRawBind/xorm-8           20000    62024 ns/op   15588 B/op   403 allocs/op
BenchmarkKallaxRawBind/kallax-8      200000     7843 ns/op    4380 B/op    46 allocs/op
BenchmarkSQLXRawBind/sqlx-8          100000    13056 ns/op    4572 B/op    55 allocs/op
BenchmarkBoilRawBind/boil-8          200000    11519 ns/op    4638 B/op    55 allocs/op

Third-Party Extensions

Below are extensions for SQL Boiler developed by community, use them at your own risk.

sqlboiler-extensions: Generates additional methods for models, particlarly for bulk operations.
boilingseed: Generates helpers to seed the database with data.
boilingfactory: Generates helpers to create and insert test models on the fly.

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Quick Overview

Pros

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Getting Started

Competitor Comparisons

Pros of sqlx

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Pros of sqlc

Cons of sqlc

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Code Comparison

Pros of upper/db

Cons of upper/db

Code Comparison

Pros of ent

Cons of ent

Code Comparison

Convert designs to code with AI

README

Note on versions

Why another ORM

Table of Contents

About SQL Boiler

Features

Missing features

Supported Databases

A Small Taste

Requirements & Pro Tips

Requirements

Pro Tips

Getting started

Videos

Download

Configuration

Database Driver Configuration

Generic config options

Full Example

Initial Generation

Regeneration

Controlling Version

Controlling Generation

Aliases

Custom Struct Tag Case

Foreign Keys

Inflections

Types

Imports

Templates

Extending generated models

Diagnosing Problems

Features & Examples

Automatic CreatedAt/UpdatedAt

Customizing the timestamp columns

Skipping Automatic Timestamps

Overriding Automatic Timestamps

Automatic DeletedAt (Soft Delete)

Query Building

Query Mod System

Function Variations

Finishers

Raw Query

Binding

Relationships

Hooks

Skipping Hooks

Transactions

Debug Logging

Select

Find