enragedginger/slick-pg

Slick extensions for PostgreSQL

Slick-pg

Slick extensions for PostgreSQL, to support a series of pg data types and related operators/functions.

Currently supported pg types:

• ARRAY
• Date/Time
• Enum
• Range
• Hstore
• LTree
• JSON
• Inet/MacAddr
• text Search
• postgis Geometry

Currently supported pg features:

• inherits
• composite type (basic)
• aggregate functions
• window functions
• Large Object

** tested on PostgreSQL v9.5 with Slick v3.1.1.

Usage

Before using it, you need integrate it with PostgresDriver maybe like this:

import com.github.tminglei.slickpg._

trait MyPostgresDriver extends ExPostgresDriver
                          with PgArraySupport
                          with PgDate2Support
                          with PgRangeSupport
                          with PgHStoreSupport
                          with PgPlayJsonSupport
                          with PgSearchSupport
                          with PgPostGISSupport
                          with PgNetSupport
                          with PgLTreeSupport {
  def pgjson = "jsonb" // jsonb support is in postgres 9.4.0 onward; for 9.3.x use "json"

  // Add back `capabilities.insertOrUpdate` to enable native `upsert` support; for postgres 9.5+
  override protected def computeCapabilities: Set[Capability] = 
    super.computeCapabilities + JdbcProfile.capabilities.insertOrUpdate

  override val api = MyAPI

  object MyAPI extends API with ArrayImplicits
                           with DateTimeImplicits
                           with JsonImplicits
                           with NetImplicits
                           with LTreeImplicits
                           with RangeImplicits
                           with HStoreImplicits
                           with SearchImplicits
                           with SearchAssistants {
    implicit val strListTypeMapper = new SimpleArrayJdbcType[String]("text").to(_.toList)
    implicit val playJsonArrayTypeMapper =
      new AdvancedArrayJdbcType[JsValue](pgjson,
        (s) => utils.SimpleArrayUtils.fromString[JsValue](Json.parse(_))(s).orNull,
        (v) => utils.SimpleArrayUtils.mkString[JsValue](_.toString())(v)
      ).to(_.toList)
  }
}

object MyPostgresDriver extends MyPostgresDriver

then in your codes you can use it like this:

import MyPostgresDriver.api._

class TestTable(tag: Tag) extends Table[Test](tag, Some("xxx"), "Test") {
  def id = column[Long]("id", O.AutoInc, O.PrimaryKey)
  def during = column[Range[Timestamp]]("during")
  def location = column[Point]("location")
  def text = column[String]("text", O.DBType("varchar(4000)"))
  def props = column[Map[String,String]]("props_hstore")
  def tags = column[List[String]]("tags_arr")

  def * = (id, during, location, text, props, tags) <> (Test.tupled, Test.unapply)
}

object tests extends TableQuery(new TestTable(_)) {
  // will generate sql like:
  //   select * from test where id = ?
  def byId(ids: Long*) = tests
        .filter(_.id inSetBind ids)
        .map(t => t)
  // will generate sql like:
  //   select * from test where tags && ?
  def byTag(tags: String*) = tests
        .filter(_.tags @& tags.toList.bind)
        .map(t => t)
  // will generate sql like:
  //   select * from test where during && ?
  def byTsRange(tsRange: Range[Timestamp]) = tests
        .filter(_.during @& tsRange.bind)
        .map(t => t)
  // will generate sql like:
  //   select * from test where case(props -> ? as [T]) == ?
  def byProperty[T](key: String, value: T) = tests
        .filter(_.props.>>[T](key.bind) === value.bind)
        .map(t => t)
  // will generate sql like:
  //   select * from test where ST_DWithin(location, ?, ?)
  def byDistance(point: Point, distance: Int) = tests
        .filter(r => r.location.dWithin(point.bind, distance.bind))
        .map(t => t)
  // will generate sql like:
  //   select id, text, ts_rank(to_tsvector(text), to_tsquery(?))
  //   from test where to_tsvector(text) @@ to_tsquery(?)
  //   order by ts_rank(to_tsvector(text), to_tsquery(?))
  def search(queryStr: String) = tests
        .filter( t => {tsVector(t.text) @@ tsQuery(queryStr.bind)})
        .map(r => (r.id, r.text, tsRank(tsVector(r.text), tsQuery(queryStr.bind))))
        .sortBy(_._3)
}

...

p.s. The code samples above are for Slick Lifted Embedding SQL. Aside from that, slick-pg also supports Slick Plain SQL--for details and usages please refer to source code and tests.

Configurable type/mappers

Since v0.2.0, slick-pg started to support configurable type/mappers.

Here's the related technical details:

All pg type oper/functions related codes and some core type mapper logics were extracted to a new sub project "slick-pg_core", and the oper/functions and type/mappers binding related codes were retained in the main project "slick-pg".

So, if you need bind different scala type/mappers to a pg type oper/functions, you can do it as "slick-pg" currently did.

####Built in supported type/mappers:

scala Type	pg Type	dev 3rd-party library dependency
List[T]	ARRAY	no 3rd party dependencies
sql Date Time Timestamp slickpg Interval Calendar	date time timestamp interval timestamptz	no 3rd party dependencies
joda LocalDate LocalTime LocalDateTime Period DateTime	date time timestamp interval timestamptz	joda-time v2.8 / joda-convert v1.7
java.time LocalDate LocalTime LocalDateTime Duration ZonedDateTime OffsetDateTime	date time timestamp interval timestamptz timestamptz	no 3rd party dependencies but require java 8
threeten.bp LocalDate LocalTime LocalDateTime Duration ZonedDateTime	date time timestamp interval timestamptz	threetenbp v1.0
scala Enumeration	enum	no 3rd party dependencies
slickpg Range[T]	range	no 3rd party dependencies
slickpg LTree	ltree	no 3rd party dependencies
Map[String,String]	hstore	no 3rd party dependencies
slickpg InetString	inet	no 3rd party dependencies
slickpg MacAddrString	macaddr	no 3rd party dependencies
slickpg JsonString	json	no 3rd party dependencies
json4s JValue	json	json4s v3.3.0
play-json JsValue	json	play-json v2.4.3
spray-json JsValue	json	spray-json v1.3.2
argonaut json Json	json	argonaut v6.1
circe json Json	json	circe v0.3.0
(TsQuery+TsVector)	text search	no 3rd party dependencies
jts Geometry	postgis geometry	jts v1.13

Warning: When your work with time data that contain Timezone, be wary of your postgres configuration. By default ZonedDateTime in Java 8 contains more information than timestamptz in Postgres. As a consequence, when you store a ZonedDateTime you are not guaranteed to get the same timezone as the original class instance. Prefer OffsetDateTime instead. cf Issue #248

Details

• Array's oper/functions, usage cases
• JSON's oper/functions, usage cases for json4s, play-json, spray-json and argonaut json
• Date/Time's oper/functions, usage cases for java date, joda time, and java 8 date and threeten bp
• Enum's oper/functions, usage cases
• Range's oper/functions, usage cases
• HStore's oper/functions, usage cases
• LTree's oper/functions, usage cases
• Inet/MacAddr's oper/functions, usage cases
• Search's oper/functions, usage cases
• Geometry's oper/functions, usage cases for postgis
• basic Composite type support, usage cases
• Aggregate functions, usage cases
• Window functions, usage cases

Install

To use slick-pg in sbt project, add the following to your project file:

libraryDependencies += "com.github.tminglei" %% "slick-pg" % "0.14.3"

If you need joda-time support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_joda-time" % "0.14.3"

If you need jts geom support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_jts" % "0.14.3"

If you need jdk8 date support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_date2" % "0.14.3"

If you need threeten-bp support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_threeten" % "0.14.3"

If you need json4s support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_json4s" % "0.14.3"

If you need play-json support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_play-json" % "0.14.3"

If you need spray-json support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_spray-json" % "0.14.3"

If you need argonaut json support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_argonaut" % "0.14.3"

If you need circe json support, pls append dependency:

libraryDependencies += "com.github.tminglei" %% "slick-pg_circe-json" % "0.14.3"

Or, in maven project, you can add slick-pg to your pom.xml like this:

<dependency>
    <groupId>com.github.tminglei</groupId>
    <artifactId>slick-pg_2.11</artifactId>
    <version>0.14.3</version>
</dependency>
<!-- other addons if necessary -->
...

Note: the plugins' code were ever merged to the main project and published in an all-in-one jar from slick-pg v0.7.0, to easy usage, but I restored to publish them as independent jars from slick-pg v0.10.0, because of the issue pointed out by @timcharper in #183.

Build instructions

slick-pg uses SBT for building and requires Java 8, since it provides support for java.date in addon date2. Assume you have already installed SBT, then you can simply clone the git repository and build slick-pg in the following way:

./sbt update
./sbt compile

To run the test suite, you need:

• create a user 'test' and db 'test' on your local postgres server, and
• the user 'test' should be an super user and be the owner of db 'test'

Then you can run the tests like this:

./sbt test

ps: in the code of unit tests, the slick database is setup like this:

val db = Database.forURL(url = "jdbc:postgresql://localhost/test?user=postgres", driver = "org.postgresql.Driver")

License

Licensing conditions (BSD-style) can be found in LICENSE.txt.