以下是Twitter推特的json示例。它是一个大型的json。在scala中将其解析为case类的最佳库/方法是什么?
例如,在Play Framework 2.x中,可以通过定义案例类和隐式转换来使用它的内部库来实现这一点,但在这种情况下我不会使用Play。我应该吗?
spray-json
似乎是最流行的scala json库,但在这种情况下它看起来相当令人失望 - 标准方法似乎仅限于22个元素并使用模式匹配,这在多嵌套结构的上下文中变得荒谬有数百个元素。有什么想法吗?
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"id_str": "657809891558576132",
"text": "RT @M23projects: Kara Walker \"Go to Hell or Atlanta, Whichever Come First\" @victoriamiro #London https://t.co/HapqKa4i0l https://t.co/95G…",
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"name": "Tonbridge School Art",
"screen_name": "ArtTonSchool",
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"url": null,
"description": "Tonbridge School is an independent day and boarding school for boys. Tweets by the Art Department.",
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"created_at": "Fri Sep 05 15:37:43 +0000 2014",
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"created_at": "Sat Oct 24 02:27:06 +0000 2015",
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"text": "Kara Walker \"Go to Hell or Atlanta, Whichever Come First\" @victoriamiro #London https://t.co/HapqKa4i0l https://t.co/95GaLC4XTo",
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"url": "http://M23.co",
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"created_at": "Sun Dec 09 17:13:35 +0000 2012",
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**更新:**我想我应该坚持play-json
,出于性能原因更是如此 - http://derekwyatt.org/2014/01/15/benchmarking-spray-json-argonaut-play-json/
答案 0 :(得分:1)
您可以单独依赖Play的JSON库:
// build.sbt
libraryDependencies += "com.typesafe.play" % "play-json_2.11" % "X.X.X"
// Tweet.scala
import play.api.libs.json._
case class User(id: String, name: String, ...)
implicit val userFormat = Json.format[User]
case class Tweet(id: String, content: String, user: User)
implicit val tweetFormat = Json.format[Tweet]
这将使用play-json的宏来自动生成将JSON解析为Tweet
和User
实例所需的格式化程序。
无论您选择哪个库,您都无法找到处理超过22个字段的优雅解决方案,因为这是案例类实现的限制(直到2.11),而不是图书馆的任何特定设计选择