
com.websudos.phantom.example.advanced.AdvancedRecipesByTitle.scala Maven / Gradle / Ivy
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package com.websudos.phantom.example.advanced
import java.util.UUID
import com.datastax.driver.core.{ResultSet, Row}
import com.websudos.phantom.dsl._
import scala.concurrent.{Future => ScalaFuture}
// Now you want to enable querying Recipes by author.
// Because of the massive performance overhead of filtering,
// you can't really use a SecondaryKey for multi-billion record databases.
// Instead, you create mapping tables and ensure consistency from the application level.
// This will illustrate just how easy it is to do that with com.websudos.phantom.
sealed class AdvancedRecipesByTitle extends CassandraTable[ConcreteAdvancedRecipesByTitle, (String, UUID)] {
// In this table, the author will be PrimaryKey and PartitionKey.
object title extends StringColumn(this) with PartitionKey[String]
// The id is just another normal field.
object id extends UUIDColumn(this)
def fromRow(row: Row): (String, UUID) = {
Tuple2(title(row), id(row))
}
}
abstract class ConcreteAdvancedRecipesByTitle extends AdvancedRecipesByTitle with RootConnector {
override lazy val tableName = "recipes_by_title"
def insertRecipe(recipe: (String, UUID)): ScalaFuture[ResultSet] = {
insert.value(_.title, recipe._1).value(_.id, recipe._2).future()
}
// now you can have the tile in a where clause
// without the performance impact of a secondary index.
def getRecipeByTitle(title: String): ScalaFuture[Option[(String, UUID)]] = {
select.where(_.title eqs title).one()
}
}
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