Generate Scala code from your database to use with the incredble library quill. Only tested with postgresql, but could in theory work with any jdbc compliant database.
This is a rewrite of the original implementation by olafurpg.
Builds and Maven artifact incoming! Watch this space.
My TODO list for this project is here - I have big plans, assuming I have time to work on them. :)
Say you have some database with this schema
create table test_user(
id integer not null,
name varchar(255),
primary key (id)
);
create table article(
id integer not null,
author_id integer,
is_published boolean
);
ALTER TABLE article
ADD CONSTRAINT author_id_fk
FOREIGN KEY (author_id)
REFERENCES test_user (id);
scala-db-codegen
will then generate "type all the things!"
code like this
package com.geirsson.codegen
import java.util.Date
import io.getquill.WrappedValue
object Tables {
/////////////////////////////////////////////////////
// Article
/////////////////////////////////////////////////////
case class Article(id: Article.Id, authorId: Option[TestUser.Id], isPublished: Option[Article.IsPublished])
object Article {
def create(id: Int, authorId: Option[Int], isPublished: Option[Boolean]): Article = {
Article(Id(id), authorId.map(TestUser.Id.apply), isPublished.map(IsPublished.apply))
}
case class Id(value: Int) extends AnyVal with WrappedValue[Int]
case class IsPublished(value: Boolean) extends AnyVal with WrappedValue[Boolean]
}
/////////////////////////////////////////////////////
// TestUser
/////////////////////////////////////////////////////
case class TestUser(id: TestUser.Id, name: Option[TestUser.Name])
object TestUser {
def create(id: Int, name: Option[String]): TestUser = {
TestUser(Id(id), name.map(Name.apply))
}
case class Id(value: Int) extends AnyVal with WrappedValue[Int]
case class Name(value: String) extends AnyVal with WrappedValue[String]
}
}
If you don't like this, you can extend the code generation along several axes - hints are in the release notes below, for now.
$ git clone https://github.com/tekacs/scala-db-codegen
$ cd scala-db-codegen
## print to stdout, works with running postgres instance on
## localhost:5432 with user "postgres", password "postgres" and database "postgres"
$ sbt run
## Override any default settings with flags.
$ sbt 'run --user myuser --password mypassword --url jdbc:postgresql://myhost:8888/postgres --file Tables.scala --type-map "bool,Boolean;int4,Int;int8,Long"'
...
For more details:
$ sbt 'run --help'
Usage: db-codegen <version> [options]
--usage
Print usage and exit
--help | -h
Print help message and exit
--user <value>
user on database server
--password <value>
password for user on database server
--url <value>
jdbc url
--schema <value>
schema on database
--jdbc-driver <value>
only tested with postgresql
--imports <value>
top level imports of generated file
--package <value>
package name for generated classes
--type-map <value>
Which types should write to which types? Format is: numeric,BigDecimal;int8,Long;...
--excluded-tables <value>
Do not generate classes for these tables.
--file <value>
Write generated code to this filename. Prints to stdout if not set.
// 2.11 only
libraryDependencies += "com.tekacs" %% "scala-db-codegen" % "<version>"
Consult the source code, at least for now ;)
Clone this repo into a subdirectory of your project. In your build.sbt:
import sbt.Project.projectToRef
lazy val `scala-db-codegen` = ProjectRef(file("scala-db-codegen"), "scala-db-codegen")
lazy val codegen = project.dependsOn(`scala-db-codegen`)
Run from sbt:
codegen/runMain com.geirsson.codegen.Codegen --package tables --file myfile.scala
Hack on the code to further customize to your needs.
You can see olafurpg's rationale over at the original repo.
My rationale is this.
Quill works very closely to basic case classes. There are a wealth of Scala libraries which also work spectacularly well with structured denoted by case classes.
This fork makes it easy and reliable to generate arbitrary code corresponding to every table, column and custom type in your database. There are all sorts of uses for this, such as generating serialisers JSON.writes[ColumnClass]
and annotations @annot class TableClass
).
For a database-centric application, with clever use of the above code generation and awesome Scala libraries, it's even possible to generate an entire, working application solely from your DB schema!
I'll give some examples of that in repos alongside this in the time to come. 😄 (Hint: generate JSON serialisers and akka-http routes)
- Major rewrite - two classes remaining from he original code. ;)
- The generator now works in multiple passes, compiler-style - DB fetching, name mapping, type mapping, code generation.
- Reskin code generation on top of scala.meta.
- Scala keywords are now properly escaped (
type
->`type`
). - scala.meta's guarantees that the generated code's structure is 'correct'.
- Codegen is now extensible along a few axes and backed by the above guarantees.
- Scala keywords are now properly escaped (
- Types are now resolved in a deferred fashion.
- It's possible to hook in your own completely custom type resolution (override
TypeMapper
). - For simpler cases (e.g. Postgres enums), you can simply insert types by overriding
beforeDone
inTypeMapper
.- You can also add a generator in
class Generator
to materialise those types in reaction to them being detected!
- You can also add a generator in
- At the moment knowing when to complete resolution is a hack (since most DB type resolution is single-level, the default
TypeMapper
doesn't provide a real dependency graph).
- It's possible to hook in your own completely custom type resolution (override
- A bunch of utilities are included to make working with scala.meta a little easier for this use case.
- No longer abort on missing key in
--type-map
, see #3. Thanks @nightscape!
- Map nullable columns to
Option
types. - Rename maven artifact name to
scala-db-codegen
for consistency.
- Basic code generation
- Command line interface