Re: Launching Spark app in client mode for standalone cluster
Thanks for the pointers. The issue was due to route caching by Spray, which
would always return the same value. Other than that the program is working
fine.
On Mon, Jan 5, 2015 at 12:44 AM, Simon Chan simonc...@gmail.com wrote:
Boromir,
You may like to take a look at how we make Spray and Spark working
together at the PredictionIO project:
https://github.com/PredictionIO/PredictionIO
Simon
On Sun, Jan 4, 2015 at 8:31 PM, Chester At Work ches...@alpinenow.com
wrote:
Just a guess here, may not be correct.
Spray needs to start akka actor system; spark context also creates an
akka actor system, is it possible there are some conflict ?
Sent from my iPad
On Jan 4, 2015, at 7:42 PM, Boromir Widas vcsub...@gmail.com wrote:
Hello,
I am trying to launch a Spark app(client mode for standalone cluster)
from a Spray server, using the following code.
When I run it as
$ java -cp class paths SprayServer
the SimpleApp.getA() call from SprayService returns -1(which means it
sees the logData RDD as null for HTTP requests), but the statements from
within SimpleAppLoader.run() get correct values from SimpleApp.getA().
Any idea why the HTTP requests do not see the cached RDD? I have been
trying to debug this for some time but not getting anywhere - any pointers
will be greatly appreciated.
Thanks.
BEGIN SPRAY SERVER
import akka.actor.{ActorSystem, Props}
import akka.io.IO
import spray.can.Http
import akka.actor._
import spray.routing.HttpService
import scala.concurrent.ops
object SprayServer {
def main(args: Array[String]) {
// we need an ActorSystem to host our service
implicit val system = ActorSystem()
//create our service actor
val service = system.actorOf(Props[SprayServiceActor],
test-service)
//bind our actor to an HTTP port
IO(Http) ! Http.Bind(service, interface = 0.0.0.0, port = 8085)
ops.spawn {
*SimpleAppLoader.run() *
}
}
}
class SprayServiceActor extends SprayService with Actor {
// the HttpService trait (which SprayService will extend) defines
// only one abstract member, which connects the services environment
// to the enclosing actor or test.
def actorRefFactory = context
def receive = runRoute(rootRoute)
}
trait SprayService extends HttpService {
def default = path() {
println(handling default route)
val numAs = *SimpleApp.getA() // DOES NOT WORK *
get { complete(snum A: $numAs) }
}
def pingRoute = path(ping) {
get { complete(pong!) }
}
def pongRoute = path(pong) {
get { complete(pong!?) }
}
def rootRoute = pingRoute ~ pongRoute ~ default
}
// END SPRAY, BEGIN SPARK
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.deploy.SparkSubmit
import org.apache.spark.rdd.RDD
object SimpleApp {
var resultString: String = Data not assigned
var logData: RDD[String] = null
def main(args: Array[String]) {
val logFile = /home/ovik/src/spark/README.md // Should be some file
on your system
val conf = new SparkConf().setAppName(Simple Application)
val sc = new SparkContext(conf)
logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line = line.contains(a)).count()
val numBs = logData.filter(line = line.contains(b)).count()
resultString = Lines with a: %s, Lines with b: %s.format(numAs,
numBs)
println(resultString)
}
def getA(): Int = {
println(resultString)
if(null == logData) {
println( logData is null!)
-1
} else {
val numAs = logData.filter(line =
line.contains(a)).count().toInt
println(s numAs: $numAs)
numAs
}
}
}
object SimpleAppLoader {
def main(args: Array[String]) {
run()
}
def run() {
val clArgs = Array(
--deploy-mode, client
, --total-executor-cores, 2
, --class, SimpleApp
, --conf, spark.shuffle.spill=false
, --conf, spark.master=spark://troika:7077
, --conf, spark.driver.memory=128m
, --conf, spark.executor.memory=128m
, --conf, spark.eventLog.enabled=true
, --conf, spark.eventLog.dir=/home/ovik/logs
, SparkContext.jarOfClass(this.getClass).get)
SparkSubmit.main(clArgs)
val numAs = *SimpleApp.getA()// WORKS *
println(snumAs is $numAs)
}
}
Launching Spark app in client mode for standalone cluster
Hello,
I am trying to launch a Spark app(client mode for standalone cluster) from
a Spray server, using the following code.
When I run it as
$ java -cp class paths SprayServer
the SimpleApp.getA() call from SprayService returns -1(which means it sees
the logData RDD as null for HTTP requests), but the statements from within
SimpleAppLoader.run() get correct values from SimpleApp.getA().
Any idea why the HTTP requests do not see the cached RDD? I have been
trying to debug this for some time but not getting anywhere - any pointers
will be greatly appreciated.
Thanks.
BEGIN SPRAY SERVER
import akka.actor.{ActorSystem, Props}
import akka.io.IO
import spray.can.Http
import akka.actor._
import spray.routing.HttpService
import scala.concurrent.ops
object SprayServer {
def main(args: Array[String]) {
// we need an ActorSystem to host our service
implicit val system = ActorSystem()
//create our service actor
val service = system.actorOf(Props[SprayServiceActor], test-service)
//bind our actor to an HTTP port
IO(Http) ! Http.Bind(service, interface = 0.0.0.0, port = 8085)
ops.spawn {
*SimpleAppLoader.run() *
}
}
}
class SprayServiceActor extends SprayService with Actor {
// the HttpService trait (which SprayService will extend) defines
// only one abstract member, which connects the services environment
// to the enclosing actor or test.
def actorRefFactory = context
def receive = runRoute(rootRoute)
}
trait SprayService extends HttpService {
def default = path() {
println(handling default route)
val numAs = *SimpleApp.getA() // DOES NOT WORK *
get { complete(snum A: $numAs) }
}
def pingRoute = path(ping) {
get { complete(pong!) }
}
def pongRoute = path(pong) {
get { complete(pong!?) }
}
def rootRoute = pingRoute ~ pongRoute ~ default
}
// END SPRAY, BEGIN SPARK
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.deploy.SparkSubmit
import org.apache.spark.rdd.RDD
object SimpleApp {
var resultString: String = Data not assigned
var logData: RDD[String] = null
def main(args: Array[String]) {
val logFile = /home/ovik/src/spark/README.md // Should be some file
on your system
val conf = new SparkConf().setAppName(Simple Application)
val sc = new SparkContext(conf)
logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line = line.contains(a)).count()
val numBs = logData.filter(line = line.contains(b)).count()
resultString = Lines with a: %s, Lines with b: %s.format(numAs,
numBs)
println(resultString)
}
def getA(): Int = {
println(resultString)
if(null == logData) {
println( logData is null!)
-1
} else {
val numAs = logData.filter(line = line.contains(a)).count().toInt
println(s numAs: $numAs)
numAs
}
}
}
object SimpleAppLoader {
def main(args: Array[String]) {
run()
}
def run() {
val clArgs = Array(
--deploy-mode, client
, --total-executor-cores, 2
, --class, SimpleApp
, --conf, spark.shuffle.spill=false
, --conf, spark.master=spark://troika:7077
, --conf, spark.driver.memory=128m
, --conf, spark.executor.memory=128m
, --conf, spark.eventLog.enabled=true
, --conf, spark.eventLog.dir=/home/ovik/logs
, SparkContext.jarOfClass(this.getClass).get)
SparkSubmit.main(clArgs)
val numAs = *SimpleApp.getA()// WORKS *
println(snumAs is $numAs)
}
}
Re: Launching Spark app in client mode for standalone cluster
Boromir,
You may like to take a look at how we make Spray and Spark working together
at the PredictionIO project: https://github.com/PredictionIO/PredictionIO
Simon
On Sun, Jan 4, 2015 at 8:31 PM, Chester At Work ches...@alpinenow.com
wrote:
Just a guess here, may not be correct.
Spray needs to start akka actor system; spark context also creates an
akka actor system, is it possible there are some conflict ?
Sent from my iPad
On Jan 4, 2015, at 7:42 PM, Boromir Widas vcsub...@gmail.com wrote:
Hello,
I am trying to launch a Spark app(client mode for standalone cluster) from
a Spray server, using the following code.
When I run it as
$ java -cp class paths SprayServer
the SimpleApp.getA() call from SprayService returns -1(which means it
sees the logData RDD as null for HTTP requests), but the statements from
within SimpleAppLoader.run() get correct values from SimpleApp.getA().
Any idea why the HTTP requests do not see the cached RDD? I have been
trying to debug this for some time but not getting anywhere - any pointers
will be greatly appreciated.
Thanks.
BEGIN SPRAY SERVER
import akka.actor.{ActorSystem, Props}
import akka.io.IO
import spray.can.Http
import akka.actor._
import spray.routing.HttpService
import scala.concurrent.ops
object SprayServer {
def main(args: Array[String]) {
// we need an ActorSystem to host our service
implicit val system = ActorSystem()
//create our service actor
val service = system.actorOf(Props[SprayServiceActor], test-service)
//bind our actor to an HTTP port
IO(Http) ! Http.Bind(service, interface = 0.0.0.0, port = 8085)
ops.spawn {
*SimpleAppLoader.run() *
}
}
}
class SprayServiceActor extends SprayService with Actor {
// the HttpService trait (which SprayService will extend) defines
// only one abstract member, which connects the services environment
// to the enclosing actor or test.
def actorRefFactory = context
def receive = runRoute(rootRoute)
}
trait SprayService extends HttpService {
def default = path() {
println(handling default route)
val numAs = *SimpleApp.getA() // DOES NOT WORK *
get { complete(snum A: $numAs) }
}
def pingRoute = path(ping) {
get { complete(pong!) }
}
def pongRoute = path(pong) {
get { complete(pong!?) }
}
def rootRoute = pingRoute ~ pongRoute ~ default
}
// END SPRAY, BEGIN SPARK
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.deploy.SparkSubmit
import org.apache.spark.rdd.RDD
object SimpleApp {
var resultString: String = Data not assigned
var logData: RDD[String] = null
def main(args: Array[String]) {
val logFile = /home/ovik/src/spark/README.md // Should be some file
on your system
val conf = new SparkConf().setAppName(Simple Application)
val sc = new SparkContext(conf)
logData = sc.textFile(logFile, 2).cache()
val numAs = logData.filter(line = line.contains(a)).count()
val numBs = logData.filter(line = line.contains(b)).count()
resultString = Lines with a: %s, Lines with b: %s.format(numAs,
numBs)
println(resultString)
}
def getA(): Int = {
println(resultString)
if(null == logData) {
println( logData is null!)
-1
} else {
val numAs = logData.filter(line = line.contains(a)).count().toInt
println(s numAs: $numAs)
numAs
}
}
}
object SimpleAppLoader {
def main(args: Array[String]) {
run()
}
def run() {
val clArgs = Array(
--deploy-mode, client
, --total-executor-cores, 2
, --class, SimpleApp
, --conf, spark.shuffle.spill=false
, --conf, spark.master=spark://troika:7077
, --conf, spark.driver.memory=128m
, --conf, spark.executor.memory=128m
, --conf, spark.eventLog.enabled=true
, --conf, spark.eventLog.dir=/home/ovik/logs
, SparkContext.jarOfClass(this.getClass).get)
SparkSubmit.main(clArgs)
val numAs = *SimpleApp.getA()// WORKS *
println(snumAs is $numAs)
}
}
