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scalaVersion := "2.10.3" | |
resolvers ++= Seq( | |
"Scalaz Bintray Repo" at "http://dl.bintray.com/scalaz/releases", | |
"Sonatype OSS Snapshots" at "http://oss.sonatype.org/content/repositories/snapshots/", | |
"Typesafe repository" at "http://repo.typesafe.com/typesafe/releases/" | |
) | |
libraryDependencies ++= Seq( | |
"com.typesafe.play" %% "play-json" % "2.2.2-RC1", | |
"org.scalaz.stream" %% "scalaz-stream" % "0.3.1", | |
"org.scalaz" %% "scalaz-concurrent" % "7.0.6", | |
"org.typelevel" %% "shapeless-scalaz" % "0.2-SNAPSHOT" | |
) |
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import scalaz._, Scalaz._, concurrent.Task, stream.io.linesR | |
import shapeless._, contrib.scalaz._ | |
import play.api.libs.json._, play.api.libs.functional.syntax._ | |
case class Result(deletions: Int, entities: Int, colors: Map[String, Int]) | |
object Result { | |
val deletion = Result(1, 0, Map.empty) | |
def tweet(entities: Int, color: String) = | |
Result(0, entities, (color != "C0DEED") ?? Map(color -> 1)) | |
} | |
object PlayJsonDemo { | |
val entitySum = ( | |
(__ \ 'hashtags ).json.pick[JsArray].map(_.value.size) and | |
(__ \ 'symbols ).json.pick[JsArray].map(_.value.size) and | |
(__ \ 'urls ).json.pick[JsArray].map(_.value.size) and | |
(__ \ 'user_mentions).json.pick[JsArray].map(_.value.size) | |
)((a, b, c, d) => a + b + c + d) | |
val resultReads = (__ \ 'delete).json.pick.map(_ => Result.deletion) or ( | |
(__ \ 'entities).read(entitySum) and | |
(__ \ 'user \ 'profile_background_color).read[String] | |
)(Result.tweet _) | |
def result: Task[Result] = linesR( | |
"../sample-all-2014-03-16.json" | |
).gatherMap(16)( | |
line => Task(Json.parse(line).as(resultReads)) | |
).runFoldMap(identity) | |
} |
It's cool to see that with functional composers from Play-Json, we don't lose much time compared to more "imperative" code like json4s (which you could also write for play-json)...
I wonder how it behaves with JsZipper ;)
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In response to a challenge by Christopher Brown. On just over a million tweets on my dual-core laptop, the Play implementation takes about 39 seconds, Json4s about 38, and Argonaut about 51.