Scala 卡斯巴;MongoDB的Rogue-查询功能

Scala 卡斯巴;MongoDB的Rogue-查询功能,scala,mongodb,casbah,Scala,Mongodb,Casbah,我目前正在使用Casbah和MongoDB来实现web服务。到目前为止,我没有任何问题。我也在使用Scala 然而,我只是想知道是否有比Casbah更好的方法来执行大量find/findOne类型查询 我遇到了Rogue,一种类型安全的基于Scala的DSL,它说这将使查询更容易、更可读 所以,我想知道转向Rogue是否有用,这样随着web服务项目变得越来越大、越来越复杂,Rogue对查询的支持可能会有所帮助 我只是想知道我是应该继续还是转向更好的方向 目前,Rogue只对系统有效 它提供全类型

我目前正在使用Casbah和MongoDB来实现web服务。到目前为止,我没有任何问题。我也在使用Scala

然而,我只是想知道是否有比Casbah更好的方法来执行大量find/findOne类型查询

我遇到了Rogue,一种类型安全的基于Scala的DSL,它说这将使查询更容易、更可读

所以,我想知道转向Rogue是否有用,这样随着web服务项目变得越来越大、越来越复杂,Rogue对查询的支持可能会有所帮助


我只是想知道我是应该继续还是转向更好的方向

目前,Rogue只对系统有效

它提供全类型安全的部分原因是它使用了一个强大的、定义良好的对象结构来记录提升。你做“自由形式”查询的能力要小得多,因为你有一个完整的结构。以下是我在最近的Scala网络研讨会上做的Lift Record+Rogue演示的意思。自从我这么做之后,Lift&Rogue中的一些内容发生了变化,所以代码可能有点过时,但仍然具有代表性。这是MongoDB的提升记录模型:

object LiftRecordDemo extends Application {
  // We'll use enums for Type and Subtype
  object EventType extends Enumeration {
    type EventType = Value
    val Conference, Webinar = Value
  }

  object EventSubType extends Enumeration {
    type EventSubType = Value
    val FullDay = Value("Full Day")
    val HalfDay = Value("Half Day")
  }



  class MongoEvent extends MongoRecord[MongoEvent] with MongoId[MongoEvent] {
    def meta = MongoEvent

    object name extends StringField(this, 255)
    object eventType extends EnumField(this, EventType) 
    object eventSubType extends OptionalEnumField(this, EventSubType)
    object location extends JsonObjectField[MongoEvent, EventLocation](this, EventLocation)  {
      def defaultValue = EventLocation(None, None, None, None, None, None, None)
    }

    object hashtag extends OptionalStringField(this, 32)
    object language extends OptionalStringField(this, 32)
    object date extends JsonObjectField[MongoEvent, EventDate](this, EventDate) {
      def defaultValue = EventDate(new DateTime, None)
    }

    object url extends OptionalStringField(this, 255)
    object presenter extends OptionalStringField(this, 255)

  }

  object MongoEvent extends MongoEvent with MongoMetaRecord[MongoEvent] {
    override def collectionName = "mongoEvents"
    override def formats = super.formats + new EnumSerializer(EventType) + new EnumSerializer(EventSubType)
  }


  case class EventLocation(val venueName: Option[String], val url: Option[String], val address: Option[String], val city: Option[String], val state: Option[String], val zip: Option[String], val country: Option[String]) extends JsonObject[EventLocation] {
    def meta = EventLocation
  }

  object EventLocation extends JsonObjectMeta[EventLocation]

  case class EventDate(start: DateTime, end: Option[DateTime]) extends JsonObject[EventDate] {
    def meta = EventDate
  }

  object EventDate extends JsonObjectMeta[EventDate]
}
如您所见,您需要提前定义MongoDB数据模型,以获得强类型、安全查询的好处。。。Rogue在编译时强制执行它的大部分。以下是一些针对该模型的恶意示例:

  // Tell Lift about our DB
  val mongoAddr = MongoAddress(MongoHost("127.0.0.1", 27017), "scalaWebinar")

  MongoDB.defineDb(DefaultMongoIdentifier, mongoAddr)

  // Rogue gives us a saner approach, although still hobbled by some
  // of Lift-MongoDB-Record's limits on embedded docs

  val q = MongoEvent where (_.eventType eqs EventType.Webinar)

  println("Rogue created a Query '%s'\n\n".format(q))

  for (x <- MongoEvent where (_.eventType eqs EventType.Webinar)) {
    println("Name: %s Presenter: %s\n".format(x.name, x.presenter))
  }

  // Rogue can also do sorting for you, which is useful

  println("\n\n\n")

  for (x <- MongoEvent where (_.eventType eqs EventType.Conference) 
                       orderAsc(_.language) andDesc(_.name)) { 
    println("Name: %s Language: %s\n".format(x.name, x.language))
  }
  val start = new DateTime(2011, 2, 1, 0, 0, 0, 0)
  val end = new DateTime(2011, 3, 1, 0, 0, 0, 0)

    /** The following would be nice but unfortunately, 
      doesn't work because of lift's current embedded doc
      implementation
    */
  //val dateQ = MongoEvent where (_.date.start after start) 
                           //and (_.date.end before end)
(注意:您需要将casbah查询包及其相关导入导入到您的代码中,或者使用来自预模块化的默认“casbah”导入)。Casbah的规范目前已覆盖所有DSL运营商;文档目前还比较落后,但是规范对它们的使用做了很好的介绍。注意Casbah中有两种操作符,就像MongoDB中一样

裸字运算符,其中语句最左边的部分是$Operator。例如
$set
$rename
等。有关更多信息,请参阅

“核心”运算符是存在于语句右侧的运算符,例如
$type
。更多信息,请参阅


我知道这是一个相当详细的答案,但我想确保您了解您的选择,以及这两种解决方案的局限性。Casbah将为您提供一个与MongoDB紧密映射的DSL,并删除一些语法错误(请记住Casbah在
DBObject
上提供了一个
getAs[T]
方法,以从
DBObject
中请求一个特定类型的值,这是人们经常忽略的);许多用户在寻找内置功能之前,并不知道DSL的存在。然而,Casbah的查询DSL在一些人看来也有点“粗糙”。。。作为它的作者,我更喜欢它的简单和优雅,因为我只需要记住**MONGODB*查询语法,而不是MONGODB和另一个DSL。它还基于自由形式查询,不提供与Rogue相同的结构化、编译时类型安全和感知功能

相比之下,Rogue还需要一个完全定义的记录模型来对抗它,这并不适合每个应用程序


但是,如果有一个“中间地带”满足您的需求,而这两种产品都不能很好地满足您的需求,我很想知道这两种产品在哪些方面可以改进。

“我更喜欢它的简单和优雅,因为我只需要记住用于查询的*MONGODB语法,而不需要同时记住MONGODB和其他DSL。”-这可能会让我暂时留在卡斯巴。我不想为编译时类型安全性增加更多的复杂性,我想我只是想确保Rogue可以做的所有事情都可以用Casbah自己来完成,而不会让它太难实现。到目前为止,CASBAH对我来说是相当好的,我可能不想使用不同的数据模型。你也可以考虑添加[Sala](它将对象映射到CasBah),并支持Casbh的查询。
  // What about querying?  Lets find all the non-US events

  for (x <- mongo.find(MongoDBObject("location.country" -> 
                        MongoDBObject("$ne" -> "USA")))) println(x)

  /* There's a problem here: We got back the Webinars too because 
     They don't have a country at all, so they aren't "USA"
    */
  println("\n\nTesting for existence of Location.Country:")

  for (x <- mongo.find(MongoDBObject("location.country" -> MongoDBObject(
                       "$ne" -> "USA",
                       "$exists" -> true 
                      )))) println(x)

  // This is getting a bit unwieldy.  Thankfully, Casbah offers a DSL
  val q = $or ("location.country" -> "USA", "location.country" -> "Japan")

  println("\n Created a DBObject: %s".format(q))

  println("\n Querying using DSL Object...")

  for (x <- mongo.find(q)) println(x)

  // It's possible to construct more complex queries too.

  // Lets find everything in February

  println("\n February Events...")
  val start = new DateTime(2011, 2, 1, 0, 0, 0, 0)
  val end = new DateTime(2011, 3, 1, 0, 0, 0, 0)
  val dateQ = "date.start" $gte start $lt end 

  println("\n Date Query: %s".format(dateQ))

  for (x <- mongo.find(dateQ, MongoDBObject("name" -> true, "date" -> true))) println(x)
"Casbah's $type operator" should {
  "Accept raw Byte indicators (e.g. from org.bson.BSON)" in {
    // Don't need to test every value here since it's just a byte
    val typeOper = "foo" $type org.bson.BSON.NUMBER_LONG
    typeOper must notBeNull
    typeOper.toString must notBeNull
    typeOper must haveSuperClass[DBObject]
    typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.NUMBER_LONG))
  }

  "Accept manifested Type arguments" in {
    "Doubles" in {
      val typeOper = "foo".$type[Double]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.NUMBER))
    }
    "Strings" in {
      val typeOper = "foo".$type[String]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.STRING))
    }
    "Object" in {
      "via BSONObject" in {
        val typeOper = "foo".$type[org.bson.BSONObject]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.OBJECT))
      }
      "via DBObject" in {
        val typeOper = "foo".$type[DBObject]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.OBJECT))
      }
    }
    "Array" in {
      "via BasicDBList" in {
        val typeOper = "foo".$type[BasicDBList]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.ARRAY))
      }
      "via BasicBSONList" in {
        val typeOper = "foo".$type[org.bson.types.BasicBSONList]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.ARRAY))
      }
    }
    "OID" in {
      val typeOper = "foo".$type[ObjectId]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.OID))
    }
    "Boolean" in {
      val typeOper = "foo".$type[Boolean]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.BOOLEAN))
    }
    "Date" in {
      "via JDKDate" in {
        val typeOper = "foo".$type[java.util.Date]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.DATE))
      }
      "via Joda DateTime" in {
        val typeOper = "foo".$type[org.joda.time.DateTime]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.DATE))
      }
    }
    "None (null)" in {
      // For some reason you can't use NONE 
      val typeOper = "foo".$type[Option[Nothing]]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.NULL))
    }
    "Regex" in {
      "Scala Regex" in {
        val typeOper = "foo".$type[scala.util.matching.Regex]
        typeOper must notBeNull
        typeOper.toString must notBeNull
        typeOper must haveSuperClass[DBObject]
        typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.REGEX))
      }
    }
    "Symbol" in {
      val typeOper = "foo".$type[Symbol]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.SYMBOL))
    }
    "Number (integer)" in {
      val typeOper = "foo".$type[Int]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.NUMBER_INT))
    }
    "Number (Long)" in {
      val typeOper = "foo".$type[Long]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.NUMBER_LONG))
    }
    "Timestamp" in {
      val typeOper = "foo".$type[java.sql.Timestamp]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.TIMESTAMP))
    }
    "Binary" in {
      val typeOper = "foo".$type[Array[Byte]]
      typeOper must notBeNull
      typeOper.toString must notBeNull
      typeOper must haveSuperClass[DBObject]
      typeOper must beEqualTo(nonDSL("foo", "$type", org.bson.BSON.BINARY))
    }

  }