How large is Scala's thread pool for futures?
My Scala application makes many millions of future {}
s and I wonder if there is anything I can do to optimize them by configuring a thread pool.
Thank you.
How large is Scala's thread pool for futures?
My Scala application makes many millions of future {}
s and I wonder if there is anything I can do to optimize them by configuring a thread pool.
Thank you.
You can specify your own ExecutionContext that your futures will run in, instead of importing the global implicit ExecutionContext.
import java.util.concurrent.Executors
import scala.concurrent._
implicit val ec = new ExecutionContext {
val threadPool = Executors.newFixedThreadPool(1000)
def execute(runnable: Runnable) {
threadPool.submit(runnable)
}
def reportFailure(t: Throwable) {}
}
This answer is from monkjack, a comment from the accepted answer. However, one can miss this great answer so I'm reposting it here.
implicit val ec = ExecutionContext.fromExecutor(Executors.newFixedThreadPool(10))
If you just need to change the thread pool count, just use the global executor and pass the following system properties.
-Dscala.concurrent.context.numThreads=8 -Dscala.concurrent.context.maxThreads=8
scala.concurrent.context.maxExtraThreads
setting with a default of 256 in the global executor. These threads are used by blocking code for instance when you call Await.ready
on a Future. –
Concessionaire You can specify your own ExecutionContext that your futures will run in, instead of importing the global implicit ExecutionContext.
import java.util.concurrent.Executors
import scala.concurrent._
implicit val ec = new ExecutionContext {
val threadPool = Executors.newFixedThreadPool(1000)
def execute(runnable: Runnable) {
threadPool.submit(runnable)
}
def reportFailure(t: Throwable) {}
}
best way to specify threadpool in scala futures:
implicit val ec = new ExecutionContext {
val threadPool = Executors.newFixedThreadPool(conf.getInt("5"));
override def reportFailure(cause: Throwable): Unit = {};
override def execute(runnable: Runnable): Unit = threadPool.submit(runnable);
def shutdown() = threadPool.shutdown();
}
class ThreadPoolExecutionContext(val executionContext: ExecutionContext)
object ThreadPoolExecutionContext {
val executionContextProvider: ThreadPoolExecutionContext = {
try {
val executionContextExecutor: ExecutionContextExecutor = ExecutionContext.fromExecutor(Executors.newFixedThreadPool(25))
new ThreadPoolExecutionContext(executionContextExecutor)
} catch {
case exception: Exception => {
Log.error("Failed to create thread pool", exception)
throw exception
}
}
}
}
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The reason is that map, flatMap methods of Action allows you to call arbitrary code when joining the actions together. Slick cannot allow that code to be run on its own execution context, because it has no way to know if you are going to tie up Slicks threads for a long time.
– Hoick