/
PgAggFuncSupportSuite.scala
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/
PgAggFuncSupportSuite.scala
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package com.github.tminglei.slickpg
import org.scalatest.funsuite.AnyFunSuite
import scala.concurrent.Await
import scala.concurrent.duration.Duration
class PgAggFuncSupportSuite extends AnyFunSuite with PostgresContainer {
import ExPostgresProfile.api._
val PgArrayJdbcTypes = new array.PgArrayJdbcTypes with ExPostgresProfile {}
implicit val simpleIntListTypeMapper: PgArrayJdbcTypes.DriverJdbcType[List[Int]] = new PgArrayJdbcTypes.SimpleArrayJdbcType[Int]("int4").to(_.toList)
implicit val simpleStrListTypeMapper: PgArrayJdbcTypes.DriverJdbcType[List[String]] = new PgArrayJdbcTypes.SimpleArrayJdbcType[String]("text").to(_.toList)
implicit val simpleDoubleListTypeMapper: PgArrayJdbcTypes.DriverJdbcType[List[Double]] = new PgArrayJdbcTypes.SimpleArrayJdbcType[Double]("float8").to(_.toList)
lazy val db = Database.forURL(url = container.jdbcUrl, driver = "org.postgresql.Driver")
case class Tab(name: String, count: Int, bool: Boolean, x: Double, y: Double)
class Tabs(tag: Tag) extends Table[Tab](tag, "test_agg_tab1") {
def name = column[String]("col2")
def count = column[Int]("count")
def bool = column[Boolean]("bool")
def x = column[Double]("x")
def y = column[Double]("y")
def * = (name, count, bool, x, y) <> ((Tab.apply _).tupled, Tab.unapply)
}
val tabs = TableQuery(new Tabs(_))
val inserts = tabs ++= Seq(
Tab("foo", 1, true, 103.05, 179.17),
Tab("quux", 3, true, 57.39, 99.07),
Tab("bar", 2, false, 35.89, 101.33),
Tab("bar", 11, true, 73.75, 28.57)
)
///---
test("general agg functions") {
import agg.PgAggFuncSupport.GeneralAggFunctions._
val sql1 = tabs.map { t =>
(arrayAgg(t.name.?).sortBy(t.x), stringAgg(t.name.?, ",").sortBy(t.name).distinct(), avg(t.count.?).filter(t.count < 10))
}.result.statements.head
println(s"sql1: $sql1")
val sql2 = tabs.map { t =>
(bitAnd(t.count.?), bitOr(t.count.?).filter(t.count < 10), boolAnd(t.bool.?).sortBy(t.name), boolOr(t.bool))
}.result.statements.head
println(s"sql2: $sql2")
val sql3 = tabs.map { t =>
(count_*(), count(t.name.?).distinct(), every(t.bool.?).sortBy(t.name), max(t.x.?), min(t.y.?), sum(t.count.?).filter(t.count < 10))
}.result.statements.head
println(s"sql3: $sql3")
Await.result(db.run(
DBIO.seq(
(tabs.schema).create,
inserts
).andThen(
DBIO.seq(
tabs.map { t =>
(arrayAgg(t.name.?).sortBy(t.x), stringAgg(t.name.?, ",").sortBy(t.name).distinct(), avg(t.count.?).filter(t.count < 10))
}.result.head.map { r =>
assert((List("bar","quux","bar","foo"), "bar,foo,quux", 2) === r)
},
tabs.map { t =>
(bitAnd(t.count.?), bitOr(t.count.?).filter(t.count < 10), boolAnd(t.bool.?).sortBy(t.name), boolOr(t.bool))
}.result.head.map { r =>
assert((0, 3, false, true) === r)
},
tabs.map { t =>
(count_*(), count(t.name.?).distinct(), every(t.bool.?).sortBy(t.name), max(t.x.?), min(t.y.?), sum(t.count.?).filter(t.count < 10))
}.result.head.map { r =>
assert((4, 3, false, 103.05, 28.57, 6) === r)
}
)
).andFinally(
(tabs.schema) drop
).transactionally
), Duration.Inf)
}
test("statistics agg functions") {
import agg.PgAggFuncSupport.StatisticsAggFunctions._
val sql1 = tabs.map { t =>
(corr(t.x, t.y.?), covarPop(t.x, t.y.?).sortBy(t.name), covarSamp(t.x, t.y.?), regrAvgX(t.x, t.y.?).distinct(), regrAvgY(t.x, t.y.?), regrCount(t.x, t.y.?).filter(t.count < 10))
}.result.statements.head
println(s"sql1: $sql1")
val sql2 = tabs.map { t =>
(regrIntercept(t.x, t.y.?), regrR2(t.x, t.y.?).sortBy(t.name), regrSlope(t.x, t.y.?).distinct(), regrSxx(t.x, t.y.?), regrSxy(t.x, t.y.?).filter(t.count < 10), regrSyy(t.x, t.y.?))
}.result.statements.head
println(s"sql2: $sql2")
val sql3 = tabs.map { t =>
(stdDev(t.x.?), stdDevPop(t.y.?).sortBy(t.name), stdDevSamp(t.x.?).distinct(), variance(t.y.?), varPop(t.x.?).filter(t.count < 10), varSamp(t.y.?))
}.result.statements.head
println(s"sql3: $sql3")
Await.result(db.run(
DBIO.seq(
(tabs.schema).create,
inserts
).andThen(
DBIO.seq(
tabs.map { t =>
(corr(t.x, t.y.?), covarPop(t.x, t.y.?).sortBy(t.name), covarSamp(t.x, t.y.?), regrAvgX(t.x, t.y.?).distinct(), regrAvgY(t.x, t.y.?), regrCount(t.x, t.y.?).filter(t.count < 10))
}.result.head.map { case (corr, covarPop, covarSamp, regrAvgx, regrAvgy, regrCount) =>
assert(Math.abs(0.447 - corr) < 0.01d)
assert(Math.abs(583.814 - covarPop) < 0.01d)
assert(Math.abs(778.418 - covarSamp) < 0.01d)
assert(Math.abs(102.035 - regrAvgx) < 0.01d)
assert(Math.abs(67.52 - regrAvgy) < 0.01d)
assert(3 === regrCount)
},
tabs.map { t =>
(regrIntercept(t.x, t.y.?), regrR2(t.x, t.y.?).sortBy(t.name), regrSlope(t.x, t.y.?).distinct(), regrSxx(t.x, t.y.?), regrSxy(t.x, t.y.?).filter(t.count < 10), regrSyy(t.x, t.y.?))
}.result.head.map { case (intercept, r2, slope, sxx, sxy, syy) =>
assert(Math.abs(46.538 - intercept) < 0.01d)
assert(Math.abs(0.2 - r2) < 0.01d)
assert(Math.abs(0.205 - slope) < 0.01d)
assert(Math.abs(11356.203 - sxx) < 0.01d)
assert(Math.abs(2945.503 - sxy) < 0.01d)
assert(Math.abs(2404.267 - syy) < 0.01d)
},
tabs.map { t =>
(stdDev(t.x.?), stdDevPop(t.y.?).sortBy(t.name), stdDevSamp(t.x.?).distinct(), variance(t.y.?), varPop(t.x.?).filter(t.count < 10), varSamp(t.y.?))
}.result.head.map { case (dev, devpop, devsamp, variance, varpop, varsamp) =>
assert(Math.abs(28.309 - dev) < 0.01d)
assert(Math.abs(53.283 - devpop) < 0.01d)
assert(Math.abs(28.309 - devsamp) < 0.01d)
assert(Math.abs(3785.40 - variance) < 0.01d)
assert(Math.abs(784.172 - varpop) < 0.01d)
assert(Math.abs(3785.40 - varsamp) < 0.01d)
}
)
).andFinally(
(tabs.schema) drop
).transactionally
), Duration.Inf)
}
test("ordered-set agg functions") {
import agg.PgAggFuncSupport.OrderedSetAggFunctions._
val sql = tabs.map { t =>
(mode().within(t.x), percentileCont(0.5).within(t.x), percentileCont(List(0.45, 0.5).bind).within(t.x), percentileDisc(0.5).within(t.count), percentileDisc[String](List(0.5,0.3).bind).within(t.name))
}.result.statements.head
println(s"sql: $sql")
Await.result(db.run(
DBIO.seq(
(tabs.schema).create,
inserts
).andThen(
DBIO.seq(
tabs.map { t =>
(mode().within(t.x), percentileCont(0.5).within(t.x), percentileCont(List(0.45, 0.5).bind).within(t.x), percentileDisc(0.5).within(t.count), percentileDisc[String](List(0.5,0.3).bind).within(t.name))
}.result.head.map { r =>
assert((35.89, 65.57, List(63.116, 65.57), 2, List("bar", "bar")) === r)
}
)
).andFinally(
(tabs.schema) drop
).transactionally
), Duration.Inf)
}
test("hypothetical-set agg functions") {
import agg.PgAggFuncSupport.HypotheticalSetAggFunctions._
val sql = tabs.map { t =>
(rank("bar").within(t.name), denseRank("bar").within(t.name), percentRank("bar").within(t.name), cumeDist("bar").within(t.name))
}.result.statements.head
println(s"sql: $sql")
Await.result(db.run(
DBIO.seq(
(tabs.schema).create,
inserts
).andThen(
DBIO.seq(
tabs.map { t =>
rank("bar").within(t.name)
}.result.map { r =>
assert(List((1)) === r)
},
tabs.map { t =>
denseRank("bar").within(t.name)
}.result.map { r =>
assert(List((1)) === r)
},
tabs.map { t =>
percentRank("bar").within(t.name)
}.result.map { r =>
assert(List((0.0)) === r)
},
tabs.map { t =>
cumeDist("bar").within(t.name)
}.result.map { r =>
assert(List((0.6)) === r)
}
)
).andFinally(
(tabs.schema) drop
).transactionally
), Duration.Inf)
}
}