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GitHub - marlow/marlow: persistence layer code generation for golang
persistence layer code generation for golang. Contribute to marlow/marlow development by creating an account on GitHub.
Visit SiteGitHub - marlow/marlow: persistence layer code generation for golang
persistence layer code generation for golang. Contribute to marlow/marlow development by creating an account on GitHub.
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Marlow is a code generation tool written in golang designed to create useful constructs that provide an ergonomic API for interacting with a project's data persistence layer while maintaining strong compile time type safety assurance.
Objective & Inspiration
Marlow was created to improve developer velocity on projects written in golang that interact with a data persistence layer, like mysql or postgres. In other web application backend environments, these interfaces are usually provided by an application framework's ORM, like the ActiveRecord library used by Rails.
For web applications leveraging the benefits of using golang, it can be difficult to construct the equivalent
abstraction of their database that provides crud operations - especially one that is type-safe and dry. There are
several open source projects in the golang ecosystem who's goal is exactly that; gorm
, beego
, and gorp
to
name a few. Marlow differs from these other projects in its philosophy; rather than attempt to provide an
eloquent orm for your project at runtime, it generates a tailored solution at compile time.
Usage
At its core, marlow simply reads a package's field tags and generates valid golang code. The marlowc
executable
can be installed & used directly via:
go get -u github.com/marlow/marlowc
marlowc -input=./examples/library/models -stdout=true
For a full list of options supported by the compiler refer to marlowc -help
. The command line tool can also be used
as the executable target for golang's go generate
command using //go:generate
comment syntax:
package models
//go:generate marlowc -input=book.go
type Book struct {
ID string `marlow="column=id"`
AuthorID string `marlow="column=author_id"`
}
The generated files will live in the same directory as their source counterparts, with an optional suffix to
distinguish them (useful if a project is using make
to manage the build pipeline). In general it is encouraged that
the generated files are not committed to your project's revision control; the source should always be generated
immediately before the rest of the package's source code is compiled.
Generated Code & Field Tag Configuration
The compiler parses the marlow
field tag value using the net/url
package's parseQuery
function. This means that
each configuration option supported by marlow would end up in delimited by the ampersand (&
) character where the key
and value are separated by an equal sign (=
). For example, a user record may look like:
package models
type User struct {
table string `marlow:"tableName=users"`
ID uint `marlow:"column=id"`
Name string `marlow:"column=name"`
Email string `marlow:"column=email"`
SettingsMask uint8 `marlow:"column=settings&bitmask"`
}
In this example, marlow would create the following UserStore
interface in the models
package:
type UserStore interface {
UpdateUserID(uint, *UserBlueprint) (int64, error)
FindUsers(*UserBlueprint) ([]*User, error)
SelectUserEmails(*UserBlueprint) ([]string, error)
CreateUsers(...User) (int64, error)
UpdateUserEmail(string, *UserBlueprint) (int64, error)
DropUserSettingsMask(uint8, *UserBlueprint) (int64, error)
UpdateUserName(string, *UserBlueprint) (int64, error)
SelectUserNames(*UserBlueprint) ([]string, error)
AddUserSettingsMask(uint8, *UserBlueprint) (int64, error)
CountUsers(*UserBlueprint) (int, error)
SelectUserIDs(*UserBlueprint) ([]uint, error)
UpdateUserSettingsMask(uint8, *UserBlueprint) (int64, error)
DeleteUsers(*UserBlueprint) (int64, error)
SelectUserSettingsMasks(*UserBlueprint) ([]uint8, error)
}
For every store that is generated, marlow will create a "blueprint" struct that defines a set of fields to be used for
querying against the database. In this example, the UserBlueprint
generated for the store above would look like:
type UserBlueprint struct {
IDRange []uint
ID []uint
NameLike []string
Name []string
EmailLike []string
Email []string
SettingsMaskRange []uint8
SettingsMask []uint8
Inclusive bool
Limit int
Offset int
OrderBy string
OrderDirection string
}
Special table
field
If present, marlow will recognize the table
field's marlow
tag value as a container for developer specified
overrides for default marlow assumptions about the table.
Option | Description |
---|---|
tableName |
The name of the table (marlow will assume a lowercased & pluralized version of the struct name). |
dialect |
Specifying the dialect option determines the syntax used by marlow during db queries. See supported-drivers for more info. |
primaryKey |
Some dialects require that marlow knows of the table's primary key during transactions. If provided, this value will be used as the column name by marlow. |
storeName |
The name of the store type that will be generated, defaults to %sStore , where %s is the name of the struct. |
blueprintName |
The name of the blueprint type that will be generated, defaults to %sBlueprint , where %s is the name of the struct. |
defaultLimit |
When using the queryable feature, this will be the default maximum number of records to load. |
blueprintRangeFieldSuffix |
A string that is added to numerical blueprint fields for range selections. Defults to %sRange where %s is the name of the field (e.g: AuthorIDRange ). |
blueprintLikeFieldSuffix |
A string that is added to string/text blueprint fields for like selections. Defaults to %sLike where %s is the name of the field (e.g: FirstNameLike ). |
All other fields
For every other field found on the source struct
, marlow will use the following field tag values:
Option | Description |
---|---|
column |
This is the column that any raw sql generated will target when scanning/selecting/querying this field. |
autoIncrement |
If true , this flag will prevent marlow from generating sql during creation that would attempt to insert the value of the field for the column. |
bitmask |
If present, the compiler will generate AddRecordFieldMask and DropRecordFieldMask methods which will perform native bitwise operations as UPDATE queries to the datbase. |
Generated Coverage & Documentation
While everyone's generated marlow code will likely be unique, the examples/library
application includes a
comprehensive test suite that demonstrates the features of marlow using 3 models - Author
, Book
and Genre
.
Supported Drivers
The follow is a list of officially support driver.Driver
implementations supported by the generated marlow code. To request an additional driver, feel free to open up an issue.
Driver Name | dialect Value |
---|---|
github.com/lib/pq |
postgres |
github.com/mattn/go-sqlite3 |
none or sql |
github.com/go-sql-driver/mysql |
none or sql |
GoLang Resources
are all listed below.
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