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 core 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.

Recent releases and dependencies are shown below. The current release is 0.4.0 … if you wish to use an older version please switch to the associated tag. The remainder of this document assumes you're using the current release.

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

libraryDependencies += "org.tpolecat" %% "doobie-core"      % "0.4.0" // scalaz + scalaz-stream
                       "org.tpolecat" %% "doobie-core-cats" % "0.4.0" // cats   + fs2

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

addCompilerPlugin("org.scalamacros" % "paradise" % "2.1.0" 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[-cats] and are released together.

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

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.

• See the changelog for an overview of changes in this and previous versions.
• Behold the book of doobie for scalaz and cats ← 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.

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.

• Doobie - Feedback from the Trenches by François Armand, ScalaIO, October 2016
• 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

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.