Hi XiangWei,
the problem is that the LocalFlinkMiniCluster can no longer be used in combination with a RemoteExecutionEnvironment. The reason is that the LocalFlinkMiniCluster uses now an internal leader election service and assigns leader ids to its components. Since this is an internal service it is not possible to retrieve this information like it is the case with the ZooKeeper based leader election services.
Long story short, the Flink Scala shell currently does not work with a LocalFlinkMiniCluster and would have to be fixed to work properly together with a local execution environment. Until then, I recommend starting a local standalone cluster and let the code run there.
Cheers,
Till
dear all,Below is the code i execute:import java.io._
import java.net.{URL,URLClassLoader}
import java.nio.charset.Charset
import java.util.Collections
import java.util.concurrent.atomic.AtomicBoolean
import com.netease.atom.common.util.logging.Logging
import com.netease.atom.interpreter.Code.Code
import com.netease.atom.interpreter.{Code, Interpreter, InterpreterResult, InterpreterUtils}
import io.netty.buffer._
import org.apache.flink.api.scala.FlinkILoop
import org.apache.flink.client.CliFrontend
import org.apache.flink.client.cli.CliFrontendParser
import org.apache.flink.client.program.ClusterClient
import org.apache.flink.configuration.{ QueryableStateOptions, Configuration, ConfigConstants, GlobalConfiguration}
import org.apache.flink.runtime.akka.AkkaUtils
import org.apache.flink.runtime.minicluster.{ StandaloneMiniCluster, LocalFlinkMiniCluster}
import scala.Console
import scala.beans.BeanProperty
import scala.collection.JavaConversions._
import scala.collection.mutable
import scala.collection.mutable.{ArrayBuffer, ListBuffer}
import scala.runtime.AbstractFunction0
import scala.tools.nsc.Settings
import scala.tools.nsc.interpreter.{IMain, JPrintWriter, Results}
class FlinkInterpreterextends Interpreter {
private var bufferedReader: Option[BufferedReader] = None
private var jprintWriter:JPrintWriter = _
private val config = newConfiguration;
private var cluster: LocalFlinkMiniCluster = _
@BeanProperty var imain: IMain = _
@BeanProperty varflinkILoop: FlinkILoop = _
private var out: ByteBufOutputStream = null
private var outBuf: ByteBuf = null
private var in: ByteBufInputStream = _
private var isRunning: AtomicBoolean = new AtomicBoolean(false)
override def isOpen: Boolean = {
isRunning.get()
}
def startLocalMiniCluster(): (String, Int, LocalFlinkMiniCluster) = {
config.toMap.toMap.foreach(println)
config.setInteger(ConfigConstants.LOCAL_NUMBER_ JOB_MANAGER, 1)
config.setInteger(ConfigConstants.LOCAL_NUMBER_ TASK_MANAGER, 1)
config.setInteger(ConfigConstants.LOCAL_NUMBER_ RESOURCE_MANAGER, 1)
config.setInteger(ConfigConstants.JOB_MANAGER_ IPC_PORT_KEY, 0)
config.setBoolean(QueryableStateOptions.SERVER_ ENABLE.key(), true)
config.setBoolean(ConfigConstants.LOCAL_START_ WEBSERVER, true)
val localCluster = new LocalFlinkMiniCluster(config, false)
localCluster.start(true)
val port = AkkaUtils.getAddress(localCluster. jobManagerActorSystems.get. head).port
println(s"Starting local Flink cluster (host: localhost,port: ${localCluster.getLeaderRPCPort} ).\n")
("localhost", localCluster.getLeaderRPCPort, localCluster)
}
/**
* Start flink cluster and create interpreter
*/
override def open: Unit = {
outBuf = ByteBufAllocator.DEFAULT.heapBuffer(20480)
out = newByteBufOutputStream(outBuf)
in = new ByteBufInputStream(outBuf)
// val (host, port, yarnCluster) = deployNewYarnCluster(YarnConfig(Option(1), None, None, None, Option(1), None))
val (host, port,localCluster) = startLocalMiniCluster()
this.cluster = localCluster
val conf = cluster.configuration
println(s"Connecting to Flink cluster (host:$host,port:$port)...")
flinkILoop = new FlinkILoop(host, port, conf, None)
val settings = new Settings()
settings.usejavacp.value = true
settings.Yreplsync.value = true
flinkILoop.settings_$eq(settings)
flinkILoop.createInterpreter()
imain = flinkILoop.intp
FlinkInterpreter.ourClassloader = imain. classLoader
val benv = flinkILoop.scalaBenv
val senv = flinkILoop.scalaSenv
benv.getConfig.disableSysoutLogging()
senv.getConfig.disableSysoutLogging()
// import libraries
imain.interpret("import scala.tools.nsc.io._")
// imain.interpret("import Properties.userHome")
imain.interpret("import scala.compat.Platform.EOL")
imain.interpret("import org.apache.flink.api.scala._")
imain.interpret("import org.apache.flink.api.common.functions._")
isRunning.set(true)
}
override def interpret(line: String): InterpreterResult = {
if (line == null || line.trim.length == 0) {
return new InterpreterResult(Code.SUCCESS)
}
interpret(line.split("\n"))
}
/**
* Interprete code
* @param lines
* @return
*/
def interpret(lines: Array[String]): InterpreterResult = {
val imain: IMain = getImain
val linesToRun: Array[String] = new Array[String](lines.length + 1)
for (i <- 0 until lines.length) {
linesToRun(i) = lines(i)
}
linesToRun(lines.length) = "print(\"\")"
System.setOut(newPrintStream(out))
out.buffer().clear()
var r: Code = null
var incomplete: String = ""
var inComment: Boolean =false
for (l <- 0 until linesToRun.length) {
val s: String = linesToRun(l)
var continuation: Boolean =false
if (l + 1 < linesToRun.length) {
val nextLine: String = linesToRun(l + 1).trim
if (nextLine.isEmpty ||
nextLine.startsWith("//") ||
nextLine.startsWith("}") ||
nextLine.startsWith("object")) {
continuation = true
} else if (!inComment && nextLine.startsWith("/*")) {
inComment = true
continuation = true
} else if (!inComment && nextLine.lastIndexOf("*/") >= 0) {
inComment = false
continuation = true
} else if (nextLine.length > 1 &&
nextLine.charAt(0) == '.' &&
nextLine.charAt(1) != '.' &&
nextLine.charAt(1) != '/') {
continuation = true
} else if (inComment) {
continuation = true
}
if (continuation) {
incomplete += s + "\n"
}
}
if (!continuation) {
val currentCommand: String = incomplete
var res: Results.Result = null
try {
res = Console.withOut(System.out)(new AbstractFunction0[Results. Result] {
override def apply() = {
imain.interpret(currentCommand + s)
}
}.apply())
} catch {
case e: Exception =>
logError("Interpreter Exception ", e)
return new InterpreterResult(Code.ERROR, InterpreterUtils. getMostRelevantMessage(e))
}
r = getResultCode(res)
if (r == Code.ERROR) {
return new InterpreterResult(r, out.toString)
} else if (r eq Code.INCOMPLETE) {
incomplete += s + "\n"
} else {
incomplete = ""
}
}
}
if (r eq Code.INCOMPLETE) {
return new InterpreterResult(r, "Incomplete expression")
}
else {
return new InterpreterResult(r, out.buffer().toString(Charset. forName("utf-8")))
}
}
private def getResultCode(r: Results.Result): Code = {
if (r.isInstanceOf[Results.Success.type]) {
return Code.SUCCESS
}
else if (r.isInstanceOf[Results.Incomplete.type]) {
return Code.INCOMPLETE
}
else {
return Code.ERROR
}
}
}
}
object FlinkInterpreterextends Logging {
var ourClassloader: ClassLoader = _
def main(args: Array[String]): Unit = {
val interpreter: FlinkInterpreter = new FlinkInterpreter
val code =
"""
|val dataStream = senv.fromElements(1,2,3,4,5)
|dataStream.countWindowAll(2).sum(0).print()
|senv.execute("My streaming program")
""".stripMargin
interpreter.open
val result = interpreter.interpret(code)
}
}The error messages i got are:……...[WARN] [17/09/13 12:04:52] [org.apache.flink.runtime.jobmanager.JobManager] Discard message LeaderSessionMessage(00000000- 0000-0000-0000-000000000000, SubmitJob(JobGraph(jobId: 1b923a7a54c06ffa1c91d276a45be8 26),EXECUTION_RESULT_AND_ STATE_CHANGES)) because the expected leader session ID 678ef53b-ff25-4298-b566- 9c2d9e7371c7 did not equal the received leader session ID 00000000-0000-0000-0000- 000000000000. [INFO] [17/09/13 12:05:52] [org.apache.flink.runtime.client. JobSubmissionClientActor] Terminate JobClientActor. [INFO] [17/09/13 12:05:52] [org.apache.flink.runtime.client. JobSubmissionClientActor] Disconnect from JobManager Actor[akka.tcp://flink@ localhost:63522/user/ ].jobmanager#82627940 [INFO] [17/09/13 12:05:52] [akka.remote.RemoteActorRefProvider$ RemotingTerminator] Shutting down remote daemon. [INFO] [17/09/13 12:05:52] [akka.remote.RemoteActorRefProvider$ RemotingTerminator] Remote daemon shut down; proceeding with flushing remote transports. [INFO] [17/09/13 12:05:52] [akka.remote.RemoteActorRefProvider$ RemotingTerminator] Remoting shut down. org.apache.flink.client.program. ProgramInvocationException: The program execution failed: Couldn't retrieve the JobExecutionResult from the JobManager. at org.apache.flink.client.program.ClusterClient.run( ClusterClient.java:478) at org.apache.flink.client.program. StandaloneClusterClient. submitJob( StandaloneClusterClient.java: 105) at org.apache.flink.client.program.ClusterClient.run( ClusterClient.java:442) at org.apache.flink.client.program.ClusterClient.run( ClusterClient.java:434) at org.apache.flink.streaming.api.environment. RemoteStreamEnvironment. executeRemotely( RemoteStreamEnvironment.java: 212) at org.apache.flink.api.java.ScalaShellRemoteStreamEnvironm ent.executeRemotely( ScalaShellRemoteStreamEnvironm ent.java:87) at org.apache.flink.streaming.api.environment. RemoteStreamEnvironment. execute( RemoteStreamEnvironment.java: 176) at org.apache.flink.streaming.api.scala. StreamExecutionEnvironment. execute( StreamExecutionEnvironment. scala:638) ... 34 elidedCaused by: org.apache.flink.runtime.client.JobExecutionException: Couldn't retrieve the JobExecutionResult from the JobManager. at org.apache.flink.runtime.client.JobClient. awaitJobResult(JobClient.java: 309) at org.apache.flink.runtime.client.JobClient. submitJobAndWait(JobClient. java:396) at org.apache.flink.client.program.ClusterClient.run( ClusterClient.java:467) ... 41 moreCaused by: org.apache.flink.runtime.client. JobClientActorSubmissionTimeou tException: Job submission to the JobManager timed out. You may increase 'akka.client.timeout' in case the JobManager needs more time to configure and confirm the job submission. at org.apache.flink.runtime.client. JobSubmissionClientActor. handleCustomMessage( JobSubmissionClientActor.java: 119) at org.apache.flink.runtime.client.JobClientActor. handleMessage(JobClientActor. java:251) at org.apache.flink.runtime.akka.FlinkUntypedActor. handleLeaderSessionID( FlinkUntypedActor.java:89) at org.apache.flink.runtime.akka.FlinkUntypedActor.onReceive( FlinkUntypedActor.java:68) at akka.actor.UntypedActor$$anonfun$receive$1.applyOrElse( UntypedActor.scala:167) at akka.actor.Actor$class.aroundReceive(Actor.scala:467) at akka.actor.UntypedActor.aroundReceive(UntypedActor. scala:97) at akka.actor.ActorCell.receiveMessage(ActorCell. scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala: 238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$ AkkaForkJoinTask.exec( AbstractDispatcher.scala:397) at scala.concurrent.forkjoin.ForkJoinTask.doExec( ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue. runTask(ForkJoinPool.java: 1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker( ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run( ForkJoinWorkerThread.java:107)
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