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- package controllers
- import play.api.Play.current
- import play.api.mvc._
- import play.api.libs.json.Json
- import java.util.concurrent._
- import scala.concurrent._
- import models._
- import utils._
- import scala.concurrent.Future
- import play.api.libs.concurrent.Execution.Implicits._
- import play.core.NamedThreadFactory
- object Application extends Controller {
- private val TestDatabaseRows = 10000
- private val partitionCount = current.configuration.getInt("db.default.partitionCount").getOrElse(2)
- private val maxConnections =
- partitionCount * current.configuration.getInt("db.default.maxConnectionsPerPartition").getOrElse(5)
- private val minConnections =
- partitionCount * current.configuration.getInt("db.default.minConnectionsPerPartition").getOrElse(5)
- private val tpe = new ThreadPoolExecutor(minConnections, maxConnections,
- 0L, TimeUnit.MILLISECONDS,
- new LinkedBlockingQueue[Runnable](),
- new NamedThreadFactory("dbEc"))
- private val dbEc = ExecutionContext.fromExecutorService(tpe)
- // A predicate for checking our ability to service database requests is determined by ensuring that the request
- // queue doesn't fill up beyond a certain threshold. For convenience we use the max number of connections
- // to determine this threshold. It is a rough check as we don't know how many queries we're going
- // to make or what other threads are running in parallel etc. Nevertheless, the check is adequate in order to
- // throttle the acceptance of requests to the size of the pool.
- def isDbAvailable: Boolean = (tpe.getQueue.size() < maxConnections)
- def json() = Action {
- Ok(Json.obj("message" -> "Hello World!"))
- }
- def db(queries: Int) = PredicatedAction(isDbAvailable, ServiceUnavailable) {
- Action {
- Async {
- val random = ThreadLocalRandom.current()
- val worlds = Future.sequence((for {
- _ <- 1 to queries
- } yield Future(World.findById(random.nextInt(TestDatabaseRows) + 1))(dbEc)
- ).toList)
- worlds map {
- w => Ok(Json.toJson(w))
- }
- }
- }
- }
- }
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