doobie

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doobie is a pure functional JDBC layer for Scala. It is not an ORM, nor is it a relational algebra; it just provides a principled way to construct programs (and higher-level libraries) that use JDBC. doobie introduces very few new abstractions; if you are familiar with basic scalaz typeclasses like Functor and Monad you should have no trouble here.

For common use cases doobie provides a minimal but expressive high-level API:

import doobie.imports._, scalaz.effect.IO

val xa = DriverManagerTransactor[IO](
  "org.postgresql.Driver", "jdbc:postgresql:world", "postgres", ""
)

case class Country(code: String, name: String, population: Long)

def find(n: String): ConnectionIO[Option[Country]] =
  sql"select code, name, population from country where name = $n".query[Country].option

// And then

scala> find("France").transact(xa).unsafePerformIO
res0: Option[Country] = Some(Country(FRA,France,59225700))

doobie is a Typelevel project. This means we embrace pure, typeful, functional programming, and provide a safe and friendly environment for teaching, learning, and contributing as described in the Typelevel Code of Conduct.

Quick Start

Supported releases and dependencies are shown below.

doobie	status	jdk	scala	scalaz	scalaz-stream	shapeless
0.3.0	stable	1.8+	2.10, 2.11, 2.12	7.2	0.8	2.3
0.2.4	stable	1.7+	2.10, 2.11	7.1	0.8	2.2
0.2.3	eol	1.6+	2.10, 2.11	7.1	0.7	2.2

Note that doobie is pre-1.0 software and is still undergoing active development. New versions are not binary compatible with prior versions, although in most cases user code will be source compatible. Nontrivial breaking changes will be introduced through a deprecation cycle of at least one minor (0.x) release.

To use doobie you need to add the following to your build.sbt.

libraryDependencies += "org.tpolecat" %% "doobie-core" % "0.3.0" // or any supported release above

If you are using Scala 2.10 you must also add the paradise compiler plugin.

addCompilerPlugin("org.scalamacros" % "paradise" % "2.0.1" cross CrossVersion.full)

It is likely that you will want one or more add-on libraries. doobie provides the following, which have the same version as doobie-core and are released together.

• doobie-contrib-h2 for H2-specific type mappings.
• doobie-contrib-hikari for HikariCP connection pooling.
• doobie-contrib-postgresql for PostgreSQL-specific type mappings.
• doobie-contrib-specs2 for specs2 support for typechecking queries.

See the book of doobie for more information on these add-ons.

Development Milestones and Snapshots

The current development milestone is 0.3.1-M1, and the changing version is 0.3.1-SNAPSHOT. These differ from 0.3.0 in at least the following important ways:

• Artifacts are now published for Cats! Artifact names are the same but end in -cats, so doobie-core-cats and doobie-h2-cats. The scalaz and Cats variants are compiled without shims or indirection; doobie now uses a preprocessor to make slight adjustments to the source to compile it "natively" for both libraries. See below for more details.
• The contrib segment in artifacts and package names is gone. So doobie-h2 is the artifact now and doobie.h2 is the package name.
• The postgresql segment and package name has been shortened to postgres.
• The book of doobie now uses IOLite (included in doobie.imports._) instead of Task, which is trivially different between scalaz and fs2 and complicates the yaxing. It's a totally inconsequential change but I think it may freak people out.

Cats Support

The 0.3.1-SNAPSHOT release is [also] compiled for Cats 0.7.2 with FS2 0.9.0 for 2.11 only (FS2 isn't available for 2.10 and Cats isn't available for 2.12).

Doc links for Cats artifacts (no unidoc yet, sorry): core • h2 • hikari • postgres • book of doobie

The obligatory example:

scala> import doobie.imports._
import doobie.imports._

scala> val xa = DriverManagerTransactor[IOLite]("org.postgresql.Driver", "jdbc:postgresql:world", "postgres", "")
xa: doobie.util.transactor.Transactor[doobie.imports.IOLite] = doobie.util.transactor$DriverManagerTransactor$$anon$2@9ab5c78

scala> val c = sql"select name, population from country".query[(String, Int)].list
c: doobie.free.connection.ConnectionIO[List[(String, Int)]] = Gosub(Suspend(PrepareStatement4(select name, population from country)),<function1>)

scala> val c2 = c.map(_.toMap) // lose the type alias so we see it's cats.free.Free!
c2: cats.free.Free[doobie.free.connection.ConnectionOp,scala.collection.immutable.Map[String,Int]] = Gosub(Gosub(Suspend(PrepareStatement4(select name, population from country)),<function1>),<function1>)

scala> c2.transact(xa).unsafePerformIO
res2: scala.collection.immutable.Map[String,Int] = Map(Kazakstan -> 16223000, Gibraltar -> 25000, Haiti -> 8222000, Grenada -> 94000, Vanuatu -> 190000, Iraq -> 23115000, Poland -> 38653600, East Timor -> 885000, Saint Helena -> 6000, Montserrat -> 11000, Martinique -> 395000, Jordan -> 5083000, Gabon -> 1226000, Netherlands Antilles -> 217000, United States Minor Outlying Islands -> 0, Philippines -> 75967000, Somalia -> 10097000, Madagascar -> 15942000, Andorra -> 78000, Falkland Islands -> 2000, Algeria -> 31471000, Liechtenstein -> 32300, Norfolk Island -> 2000, Yugoslavia -> 10640000, Kiribati -> 83000, Angola -> 12878000, Croatia -> 4473000, Luxembourg -> 435700, Lebanon -> 3282000, United States -> 278357000, Greece -> 10545700, Eritrea -> 3850000, Bhuta...

It should go without saying, but the appearance of a feature in a pre-release version is not a promise that it will appear in the final release. The yax preprocessor (and therefore Cats support) is very experimental.

Documentation and Support

• See the changelog for an overview of changes in this and previous versions.
• Behold the book of doobie ← start here
• The scaladoc will be handy once you get your feet wet.
• There is also the source. If you're here you know where to look. Check the examples.
• If you have comments or run into trouble, please file an issue.
• Find tpolecat on the FreeNode #scala channel, or join the Gitter Channel.

Presentations, Blog Posts, etc.

Listed newest first. If you have given a presentation or have written a blog post that includes doobie, let me know and I'll add it to this list.

• Pure Functional Database Programming with Fixpoint Types by Rob Norris - Scala World, 2016 - slides
• The Functional Web Stack by Gary Coady - Dublin Scala Users Group, April 2016
• End to End and On The Level by Dave Gurnell - Typelevel Summit, Philadelphia, March 2016
• Programs as Values: JDBC Programming with doobie by Rob Norris - Scala by the Bay, 2015 - slides
• Typechecking SQL in Slick and doobie by Richard Dallaway
• DB to JSON with a Microservice by Da Terry - code

Testing

If you want to build and run the tests for yourself, you'll need a local postgresql database. Tests are run as the default postgres user, which should have no password for access in the local environment. You can see the before_script section of the .travis.yml file for an up-to-date list of steps for preparing the test database.